<?xml version="1.0" encoding="utf-8"?>
<XML>
		<JOURNAL>
<YEAR>2019</YEAR>
<VOL>8</VOL>
<NO>2</NO>
<MOSALSAL>0</MOSALSAL>
<PAGE_NO>0</PAGE_NO>
<ARTICLES>


				<ARTICLE>
                <LANGUAGE_ID>1</LANGUAGE_ID>
				<TitleF>بهینه‌سازی پرتفوی مبتنی بر پیش‌بینی برای سهام گروه‌های وابسته به نفت در ایران با استفاده از روش‌های داده کاوی</TitleF>
				<TitleE>Prediction-Based Portfolio Optimization Model for Iran’s Oil Dependent Stocks Using Data Mining Methods</TitleE>
                <URL>https://ijes.shirazu.ac.ir/article_5560.html</URL>
                <DOI>10.22099/ijes.2020.34367.1595</DOI>
                <DOR></DOR>
				<ABSTRACTS>
					<ABSTRACT>
						<LANGUAGE_ID>1</LANGUAGE_ID>
						<CONTENT>This study applied a prediction-based portfolio optimization model to explore the results of portfolio predicament in the Tehran Stock Exchange. To this aim, first, the data mining approach was used to predict the petroleum products and chemical industry using clustering stock market data. Then, some effective factors, such as crude oil price, exchange rate, global interest rate, gold price, and S&amp;P 500 index, were used to estimate each industry index using Radial Basis Function and Multi-Layer Perceptron neural networks. Finally, by comparing the validation ratios in a bullish market using K-Means, SOM, and Fuzzy C-means clustering algorithms, the best algorithm was employed to predict indicators for each industry. The sample was collected between December 15, 2008, and April 25, 2018. The results revealed that the Multi-Layer Perceptron algorithm had the highest accuracy and was the best option for portfolio predicament. However, the Fuzzy C-means algorithm produced the best clusters. Practical results showed that Sepahan oil and Kharg petrochemical stocks were the most important stocks in the short term while Kharg petrochemical, Fannavaran petrochemical, and Tehran oil refinery stocks made higher contributions in a stock portfolio in the medium- or long-term.</CONTENT>
					</ABSTRACT>
					<ABSTRACT>
						<LANGUAGE_ID>0</LANGUAGE_ID>
						<CONTENT>هدف اصلی این تحقیق استفاده از یک مدل بهینه‌سازی پرتفوی مبتنی بر پیش‌بینی برای انتخاب پرتفوی سهام گروه‌های وابسته به نفت در بازار بورس تهران است. برای این منظور، ابتدا با استفاده از داده‌های خوشه‌بندی شده بازار سهام و مبتنی بر رهیافت داده‌کاوی، سهام فرآورده‌های نفتی و صنایع شیمیایی پیش‌بینی شده است. سپس، با استفاده از عوامل موثر بر تغییرات شاخص هر گروه مانند قیمت نفت خام، نرخ ارز، نرخ بهره‌ جهانی، قیمت جهانی طلا و شاخص S&amp;P500 شاخص هر صنعت با استفاده از الگوریتم‌های شبکه عصبی MLP و RBF تخمین زده شده و در نهایت با مقایسه عملکرد هر یک از الگوریتم‌ها، بهترین الگوریتم برای پیش‌بینی رفتار شاخص هر صنعت شناسایی شده است. در ادامه با استفاده از الگوریتم‌های خوشه-بندی K-Means، SOM و FCM شرکت‌های موجود در این دوصنعت از لحاظ نسبت‌های مالی خوشه‌بندی شده و با بهترین الگوریتم سهام مناسب از هرگروه شناسایی شده است. نتایج تحقیق بیانگر آن است که الگوریتم MLP ازدقت بالاتری برخوردار است. همچنین الگوریتم FCM بهترین خوشه‌ها را تولید می‌کند. نتایج تجربی نشان می‌دهد، سهام پتروشیمی سپاهان و خارگ در کوتاه‌مدت و پتروشیمی خارگ و فناوران و پالایشگاه نفت تهران بیشترین بازده را در پرتفوی در افق میان‌مدت و بلندمدت دارد.</CONTENT>
					</ABSTRACT>
				</ABSTRACTS>
				<PAGES>
					<PAGE>
						<FPAGE>225</FPAGE>
						<TPAGE>252</TPAGE>
					</PAGE>
				</PAGES>
	
				<AUTHORS><AUTHOR>
						<Name>محمد</Name>
						<MidName></MidName>		
						<Family>صیادی</Family>
						<NameE>Mohammad</NameE>
						<MidNameE></MidNameE>		
						<FamilyE>Sayadi</FamilyE>
						<Organizations>
							<Organization>Faculty of Economics, Kharazmi University, Tehran, Iran.</Organization>
						</Organizations>
						<Countries>
							<Country>Iran</Country>
						</Countries>
						<EMAILS>
							<Email>m.sayadi@khu.ac.ir</Email>			
						</EMAILS>
					</AUTHOR><AUTHOR>
						<Name>میثم</Name>
						<MidName></MidName>		
						<Family>امیدی</Family>
						<NameE>Meysam</NameE>
						<MidNameE></MidNameE>		
						<FamilyE>Omidi</FamilyE>
						<Organizations>
							<Organization>Faculty of Economics, Kharazmi University, Tehran, Iran.</Organization>
						</Organizations>
						<Countries>
							<Country>Iran</Country>
						</Countries>
						<EMAILS>
							<Email>meysamomidi2016@gmail.com</Email>			
						</EMAILS>
					</AUTHOR></AUTHORS>
				<KEYWORDS>
					<KEYWORD>
						<KeyText>Stock index</KeyText>
					</KEYWORD>
					<KEYWORD>
						<KeyText>Portfolio Optimization</KeyText>
					</KEYWORD>
					<KEYWORD>
						<KeyText>Data mining</KeyText>
					</KEYWORD>
					<KEYWORD>
						<KeyText>Artificial neural networks</KeyText>
					</KEYWORD>
					<KEYWORD>
						<KeyText>clustering</KeyText>
					</KEYWORD></KEYWORDS>
				<REFRENCES>
				<REFRENCE>
				<REF>Bação, F., Lobo, V., Painho, M., 2005. Self-organizing maps as substitutes for k-means clustering, International Conference on Computational Science. Springer, pp. 476-483.##Baryshevsky, D.V., 2004. The interrelation of the long-term gold yield with the yields of another asset classes. Available at SSRN 652441.##Blair, B., Poon, S.-H., Taylor, S.J., 2002. Asymmetric and crash effects in stock volatility for the S&amp;P 100 index and its constituents. Applied Financial Economics 12, 319-329.##Bollerslev, T., 1986. Generalized autoregressive conditional heteroskedasticity. Journal of econometrics 31, 307-327.##CBI, 2018. Economic trends. Economic Statistics Department, Tehran, Iran.##Chen, A.-S., Leung, M.T., 2004. Regression neural network for error correction in foreign exchange forecasting and trading. Computers &amp; Operations Research 31, 1049-1068.##Chen, G., Jaradat, S.A., Banerjee, N., Tanaka, T.S., Ko, M.S., Zhang, M.Q., 2002. Evaluation and comparison of clustering algorithms in analyzing ES cell gene expression data. Statistica Sinica, 241-262.##Chiang, W.-C., Urban, T.L., Baldridge, G.W., 1996. A neural network approach to mutual fund net asset value forecasting. Omega 24, 205-215.##Chiu, C.-Y., Chen, Y.-F., Kuo, I.-T., Ku, H.C., 2009. An intelligent market segmentation system using k-means and particle swarm optimization. Expert Systems with Applications 36, 4558-4565.##Durante, F., Foscolo, E., 2013. An analysis of the dependence among financial markets by spatial contagion. International Journal of Intelligent Systems 28, 319-331.##FRED, F.R.E.D., 2018. Federal Reserve Bank of St. Louis: Exchange Rates. Available online at http://research. stlouisfed. org/fred2/categories/158. Last accessed 5.##Galeshchuk, S., 2016. Neural networks performance in exchange rate prediction. Neurocomputing 172, 446-452.##Gandhmal, D.P., Kumar, K., 2019. Systematic analysis and review of stock market prediction techniques. Computer Science Review 34, 100190.##Hamerly, G., Elkan, C., 2002. Alternatives to the k-means algorithm that find better clusterings, Proceedings of the eleventh international conference on Information and knowledge management. ACM, pp. 600-607.##Huang, C.-F., 2012. A hybrid stock selection model using genetic algorithms and support vector regression. Applied Soft Computing 12, 807-818.##Kanjamapornkul, K., Pinčák, R., Bartoš, E., 2016. The study of Thai stock market across the 2008 financial crisis. Physica A: Statistical Mechanics and its Applications 462, 117-133.##Kasturi, J., Acharya, R., Ramanathan, M., 2003. An information theoretic approach for analyzing temporal patterns of gene expression. Bioinformatics 19, 449-458.##Li, H., 2019. Multivariate time series clustering based on common principal component analysis. Neurocomputing 349, 239-247.##Liao, S.-H., Chou, S.-Y., 2013. Data mining investigation of co-movements on the Taiwan and China stock markets for future investment portfolio. Expert Systems with Applications 40, 1542-1554.##Lu, Y.-N., Li, S.-P., Zhong, L.-X., Jiang, X.-F., Ren, F., 2018. A clustering-based portfolio strategy incorporating momentum effect and market trend prediction. Chaos, Solitons &amp; Fractals 117, 1-15.##Mashayekh, S., Moradkhani, H.H., Jafari, M., 2011. Impact of macroeconomic variables on stock market: The case of Iran, 2nd International Conference on Business and Economic Research (2nd ICBER 2011) Proceeding. Conference Master Resources, pp. 350-360.##Miao, K., Chen, F., Zhao, Z., 2007. Stock price forecast based on bacterial colony RBF neural network [j]. Journal of Qingdao University (Natural Science Edition) 2.##Misiunas, N., Oztekin, A., Chen, Y., Chandra, K., 2016. DEANN: A healthcare analytic methodology of data envelopment analysis and artificial neural networks for the prediction of organ recipient functional status. Omega 58, 46-54.##Momeni, M., Mohseni, M., Soofi, M., 2015. Clustering Stock Market Companies via K-Means Algorithm. Kuwait Chapter of the Arabian Journal of Business and Management Review 4, 1.##Nair, B.B., Kumar, P.S., Sakthivel, N., Vipin, U., 2017. Clustering stock price time series data to generate stock trading recommendations: An empirical study. Expert Systems with Applications 70, 20-36.##Nanda, S., Mahanty, B., Tiwari, M., 2010. Clustering Indian stock market data for portfolio management. Expert Systems with Applications 37, 8793-8798.##Patel, J., Shah, S., Thakkar, P., Kotecha, K., 2015. Predicting stock market index using fusion of machine learning techniques. Expert Systems with Applications 42, 2162-2172.##Rapach, D.E., Wohar, M.E., Rangvid, J., 2005. Macro variables and international stock return predictability. International journal of forecasting 21, 137-166.##Rezaee, M.J., Jozmaleki, M., Valipour, M., 2018. Integrating dynamic fuzzy C-means, data envelopment analysis and artificial neural network to online prediction performance of companies in stock exchange. Physica A: Statistical Mechanics and its Applications 489, 78-93.##Santos, A.A.P., da Costa Jr, N.C.A., dos Santos Coelho, L., 2007. Computational intelligence approaches and linear models in case studies of forecasting exchange rates. Expert Systems with Applications 33, 816-823.##Schwartz, R.A., Whitcomb, D.K., 1977. Evidence on the presence and causes of serial correlation in market model residuals. Journal of Financial and Quantitative Analysis 12, 291-313.##Shu, G., Zeng, B., Chen, Y.P., Smith, O.H., 2003. Performance assessment of kernel density clustering for gene expression profile data. International Journal of Genomics 4, 287-299.##Statistic, I.a., 2018. Information and Statistic, in: Ministry of Industry, M.a.T.o.I.R.o.I. (Ed.).##Tibshirani, R., Walther, G., Hastie, T., 2001. Estimating the number of clusters in a data set via the gap statistic. Journal of the Royal Statistical Society: Series B (Statistical Methodology) 63, 411-423.##TSE, 2018. Tehran Stock Exchange. Tehran Stock Exchange Corp, Tehran, Iran.##Venkatesan, P., Anitha, S., 2006. Application of a radial basis function neural network for diagnosis of diabetes mellitus. Current Science 91, 1195-1199.##Yilmaz, I., Kaynar, O., 2011. Multiple regression, ANN (RBF, MLP) and ANFIS models for prediction of swell potential of clayey soils. Expert systems with applications 38, 5958-5966.##Zhang, C., Almpanidis, G., Wang, W., Liu, C., 2018. An empirical evaluation of high utility itemset mining algorithms. Expert Systems with Applications 101, 91-115.##Zhang, Y., Wu, L., 2009. Stock market prediction of S&amp;P 500 via combination of improved BCO approach and BP neural network. Expert systems with applications 36, 8849-8854.##Zhong, X., 2004. A study of several statistical methods for classification with application to microbial source tracking. Worcester Polytechnic Institute.##Zhong, X., Enke, D., 2017. A comprehensive cluster and classification mining procedure for daily stock market return forecasting. Neurocomputing 267, 152-168.##Zhong, X., Ma, S.P., Yu, R.Z., Zhang, B., 2001. Data mining: A survey. PRAI 14.##</REF>
						</REFRENCE>
					</REFRENCES>
			</ARTICLE>
				<ARTICLE>
                <LANGUAGE_ID>1</LANGUAGE_ID>
				<TitleF>نظریه برابری قدرت خرید در کشورهای منطقه MENA : آزمون ریشه واحد کوانتیل</TitleF>
				<TitleE>The Theory of Purchasing Power Parity in MENA Countries: The Quantile Unit Root Test</TitleE>
                <URL>https://ijes.shirazu.ac.ir/article_5549.html</URL>
                <DOI>10.22099/ijes.2020.33571.1570</DOI>
                <DOR></DOR>
				<ABSTRACTS>
					<ABSTRACT>
						<LANGUAGE_ID>1</LANGUAGE_ID>
						<CONTENT>This paper examines the theory of purchasing power parity aboutthe exchange rate of the dollar with local currencies in MENAcountries - the Middle East and North Africa - using a unit root testestablished on the quantile auto regressive model during the period1980-2017. This test, like other unit root tests, uses auto regressivemodel, unlike other methods that emphasize the mean of thedependent variable, this test employees different variables orquantiles for estimating the regression. If the theory of purchasingpower parity is in place, the real exchange rate will be stationary.According to the results of quantile unit root test, the real exchangerate for dollar in all countries except the four countries ofMorocco, Bahrain, Saudi Arabia and Jordan has a unit root and isnot stationary. Therefore, except for the four countries mentioned,the theory of purchasing power parity is not true in other studiedcountries. This result could be due to the difference inmacroeconomic conditions and less flexibility of the foreignexchange system in these countries compared to developedcountries.</CONTENT>
					</ABSTRACT>
					<ABSTRACT>
						<LANGUAGE_ID>0</LANGUAGE_ID>
						<CONTENT>این مقاله آزمون نظریه برابری قدرت خرید در مورد نرخ مبادله دلار با واحدهای پول محلی در کشورهای عضو MENA- کشورهای خاورمیانه و شمال آفریقا - با استفاده از آزمون ریشه واحد بر اساس مدل خود رگرسیون کوانتیل در دوره زمانی2017-1980 مورد بررسی قرار می دهد. این آزمون، همانند سایر آزمون های پایایی، از مدل خود رگرسیون استفاده می کند، ولی برای برآورد این رگرسیون برخلاف سایر روش ها که بر میانگین متغیر وابسته تاکید دارند، از چندک ها یا کوانتیل های متغیر مزبور استفاده می نماید. اگر نظریه برابری قدرت خرید برقرار باشد، نرخ ارز واقعی پایا خواهد بود. مطابق یافته آزمون ریشه واحد کوانتیل، نرخ ارز واقعی برای دلار در تمام کشورها به جز چهار کشور مراکش، بحرین، عربستان و اردن دارای ریشه واحد بوده و پایا نمی باشد. بنابراین به جز چهار کشور مزبور در سایر کشورهای مورد بررسی نظریه برابری قدرت خرید صادق نمی باشد. این نتیجه می تواند به دلیل تفاوت شرایط کلان اقتصادی و انعطاف پذیری کم تر نظام ارزی در این کشورها در مقایسه با کشورهای توسعه یافته باشد.</CONTENT>
					</ABSTRACT>
				</ABSTRACTS>
				<PAGES>
					<PAGE>
						<FPAGE>253</FPAGE>
						<TPAGE>263</TPAGE>
					</PAGE>
				</PAGES>
	
				<AUTHORS><AUTHOR>
						<Name>سید علی</Name>
						<MidName></MidName>		
						<Family>پایتختی اسکویی</Family>
						<NameE>Seyyed Ali</NameE>
						<MidNameE></MidNameE>		
						<FamilyE>Paytakhti Oskooe</FamilyE>
						<Organizations>
							<Organization>Department of Economics, Tabriz Branch, Islamic Azad University, Tabriz, Iran</Organization>
						</Organizations>
						<Countries>
							<Country>Iran</Country>
						</Countries>
						<EMAILS>
							<Email>oskooe@yahoo.com</Email>			
						</EMAILS>
					</AUTHOR><AUTHOR>
						<Name>احسان</Name>
						<MidName></MidName>		
						<Family>شفیعی</Family>
						<NameE>Ehsan</NameE>
						<MidNameE></MidNameE>		
						<FamilyE>Shafei</FamilyE>
						<Organizations>
							<Organization>, Department of Economics, Tabriz Branch, Islamic Azad University, Tabriz, Iran</Organization>
						</Organizations>
						<Countries>
							<Country>Iran</Country>
						</Countries>
						<EMAILS>
							<Email>ehsanshafei@gmail.com</Email>			
						</EMAILS>
					</AUTHOR></AUTHORS>
				<KEYWORDS>
					<KEYWORD>
						<KeyText>نظریه برابری قدرت خرید</KeyText>
					</KEYWORD>
					<KEYWORD>
						<KeyText>آزمون ریشه واحدمدل خود رگرسیون کوانتیل</KeyText>
					</KEYWORD>
					<KEYWORD>
						<KeyText>کشورهای خاورمیانه و شمال آفریقا</KeyText>
					</KEYWORD></KEYWORDS>
				<REFRENCES>
				<REFRENCE>
				<REF>Benbouziane, M and A. Benamar, 2006. The Purchasing Power Parity in The Maghreb Countries: A Nonlinear Perspective, http://mpra.ub.uni-muenchen.de/13853/.##Bahmani-Oskooee, M. 1998. Do exchange rates follow a random walk process in Middle Eastern countries? Economics Letters, 58, 339–344.##Bahmani-Oskooee, M and M. Kandil, 2007. Testing the PPP in the non-linear STAR Framework: Evidence from MENA Countries, Scientific Journal of Administrative Development Vol.5.##Bahmani-Oskooee, M., Chang, T., Chen, T. H., and H. W. Tzeng, 2016. Quantile unit root test and the PPP in Africa. Applied Economics, 49(19), 1913-1921##Bahmani-Oskooee, M., and O. Ranjbar, 2016. Quantile unit root test and PPP: evidence from 23 OECD countries. Applied Economics, 48(31), 2899-2911.##Drine, I and C. Rault, 2008. Purchasing Power Parity for Developing and Developed Countries. What can we Learn from Non-Stationary Panel Data Models?, CESifo Working Paper No. 2255.##Kalyoncu, H., Kula,F and A. Aslan, 2010. The Validity of Purchasing Power Parity Hypothesis in Middle East, Romanian Journal of Economic Forecasting, 4.##Kalyoncu, H., Aslan, A. and F. Kula, 2011. Purchasing Power Parity In Mena Revisited: Empirical Evidence in the Presence of Endogenously Determined Break Points, Economic Research-Ekonomska Istraživanja, 24:1, 1-12.##Koenker, R., and Z. Xiao, 2004. Unit root quantile autoregression inference. Journal of the American Statistical Association, 99(467), 775-787.##Koenker, R., and Z. Xiao, 2006. Quantile autoregression. Journal of the American Statistical Association, 101(475), 980-990.##Narayan K. and B.C. Prasad, 2005. The validity of purchasing power parity hypothesis for eleven middle eastern countries, Review of Middle East Economics and Finance 3, 135–149.##</REF>
						</REFRENCE>
					</REFRENCES>
			</ARTICLE>
				<ARTICLE>
                <LANGUAGE_ID>1</LANGUAGE_ID>
				<TitleF>بررسی رفتار مالیاتی مودیان بخش مشاغل: رهیافت اقتصاد رفتاری</TitleF>
				<TitleE>Investigating the Behavior of Individual Business Taxpayers: Behavioral Economics Approach</TitleE>
                <URL>https://ijes.shirazu.ac.ir/article_5548.html</URL>
                <DOI>10.22099/ijes.2020.33336.1566</DOI>
                <DOR></DOR>
				<ABSTRACTS>
					<ABSTRACT>
						<LANGUAGE_ID>1</LANGUAGE_ID>
						<CONTENT>In Direct Tax Act, penalties and incentives are two strategies for realization of the expected tax revenues. In this study the interaction between individual businesses taxpayers&#039; behaviors and National Tax Administration is investigated by using prospect theory which is based on behavioral economics approach. For this purpose, the structure of the tax compliance of the mentioned taxpayers is evaluated via the changes in penalty and incentive rates. In this way, a special questionnaire regarding the items of individual businesses sector of Direct Tax Act was designed for tax compliance evaluating and the results obtained using Bayesian Hierarchical method. The results indicate that the investigated individual business taxpayers, at all income levels were more sensitive toward incentive rates, so that this result can be useful for tax policymakers.</CONTENT>
					</ABSTRACT>
					<ABSTRACT>
						<LANGUAGE_ID>0</LANGUAGE_ID>
						<CONTENT>در ساختار قانون مالیاتهای مستقیم، جرایم و تشویقها دو راهکارهای برای تحقق درآمدمالیاتی پیش بینی شده است. در این تحقیق با استفاده از تئوری چشم انداز که مبتنی بر رهیافت اقتصاد رفتاری است، اثر متقابل رفتار مؤدیان بخش مشاغل و سازمان امور مالیاتی بررسی شده است. بدین منظور، ساختار تمکین مالیاتی مودیان مذکور با استفاده از تغییرات نرخ جرایم و تشویقها سنجش شده است. در این راه، پرسشنامه ای ویژه با توجه به موارد مندرج دربخش مشاغل قانون مالیات های مستقیم، برای ارزیابی تمکین مالیاتی (پرداخت یا عدم پرداخت مالیات) طراحی شد و نتایج با استفاده ازروش بیزین سلسله مراتبی بدست آمد. نتایج حاکی از آن است که مؤدیان مورد بررسی در تمامی سطوح درآمدی نسبت به تغییرات اعمال شده در نرخ تشویق حساسیت بیشتری نشان میدهند که این نتیجه میتواند در جهتدهی به سیاست گذاریهای دستگاه مالیاتی مفید باشد</CONTENT>
					</ABSTRACT>
				</ABSTRACTS>
				<PAGES>
					<PAGE>
						<FPAGE>265</FPAGE>
						<TPAGE>281</TPAGE>
					</PAGE>
				</PAGES>
	
				<AUTHORS><AUTHOR>
						<Name>یگانه</Name>
						<MidName></MidName>		
						<Family>موسوی جهرمی</Family>
						<NameE>Yeganeh</NameE>
						<MidNameE></MidNameE>		
						<FamilyE>Mousavi  Jahromi</FamilyE>
						<Organizations>
							<Organization>Department of Economics, Faculty of Management, Economics &amp;amp;amp; Accounting, Payame Noor University, Tehran, Iran</Organization>
						</Organizations>
						<Countries>
							<Country>Iran</Country>
						</Countries>
						<EMAILS>
							<Email>yeganehmj@gmail.com</Email>			
						</EMAILS>
					</AUTHOR><AUTHOR>
						<Name>سحر</Name>
						<MidName></MidName>		
						<Family>دهقان</Family>
						<NameE>Sahar</NameE>
						<MidNameE></MidNameE>		
						<FamilyE>Dehghan</FamilyE>
						<Organizations>
							<Organization>National Tax Administration</Organization>
						</Organizations>
						<Countries>
							<Country>Iran</Country>
						</Countries>
						<EMAILS>
							<Email>dehghan4000@gmail.com</Email>			
						</EMAILS>
					</AUTHOR></AUTHORS>
				<KEYWORDS>
					<KEYWORD>
						<KeyText>اقتصاد رفتاری</KeyText>
					</KEYWORD>
					<KEYWORD>
						<KeyText>تمکین مالیاتی</KeyText>
					</KEYWORD>
					<KEYWORD>
						<KeyText>جرایم</KeyText>
					</KEYWORD>
					<KEYWORD>
						<KeyText>مشوق ها</KeyText>
					</KEYWORD></KEYWORDS>
				<REFRENCES>
				<REFRENCE>
				<REF>-        Abdoli. Gh(2007), Game Theory and its applications: static and dynamic games of complete information. Iranian Students Booking Agency.##-        Allingham,M. Sandmo,A.(1972).Income tax evasion: a theoretical analysis, Journal of Public Economics,Volume 1, Issues 3–4, November 1972, Pages 323-338.##-        Altman, M. (2012), Behavioral Economics for Dummies, Mississauga: John Wiley &amp; Sons,##-        Barberis, N, &amp; Huang, M. (2008). Stocks as Lotteries: The Implications of Probability Weighting for Security Prices. American, Economic Review, 98(5), 2066 –2100.##-        Barberis, N. (2013). Thirty Years of Prospect Theory in Economics: A Review and Assessment. Journal of Economic Perspectives, 27(1), 173–196.##-        Bernasconi M.,(1998). Tax evasion and orders of risk aversion. Journal of Public Economics.67, 123-34.##-        Bernasconi M., Zanardi A., (2004). Tax evasion, tax rates and reference dependence.FinanzArchiv 60, 422-445.##-        Brooks, S.P., Gelman, A. General Methods for Monitoring Convergence of Iterative Simulations. Journal of Computational and Graphical Statistics 7(4). 434-455 (1998).##-        Dehghan, S; Mousavi Jahromi, Y; Abdoli, Gh. (2018). “Prospect Theory: A New Strategy for Explaining Tax Evasion Phenomenon”. Journal of Economic Research, 53 (1), pp. 1-24.##-        Duda-Fehr.H. De Gennaro.M, Schubert.R,(2004). Working paper, Institute of Economic Research, Swiss Federal Institute of Technology, Zurich.-Harrison.G,Rutstrom.E,(2008), Risk Aversion In The Laboratoty , in James C. Cox, Glenn W. Harrison (ed.) Risk Aversion in Experiments (Research in Experimental Economics, Volume 12) Emerald Group Publishing Limited, pp.41 – 196.##-        Glockner .A, Pachur.T, (2012), Cognitive models of risky choice: Parameter stability and predictive accuracy of prospect theory, Cognition 123 (2012) 21–32.##-        Gelman, A., &amp; Hill, J. (2007). Data analysis using regression and multilevel/hierarchical##            models. Cambridge: Cambridge University Press.##-        Gonzalez, R &amp; W.U, G. (1999). On the Shape of the Probability Weighting Function. Cognitive Psychology, 38, 129–166.##-        Holt, C.Laury.S,(2002). Risk Aversion and Incentive Effects, The American Economic Review Vol. 92, No. 5 (Dec., 2002), pp. 1644-1655.##-        Hu, W, &amp; Scott S. (2007). Behavioral Obstacles in the Annuity Market. Financial Analysts Journal, 63(6), 71– 82.##-        Kahneman, D., &amp; Tversky A. (1979). Prospect Theory: An analysis of decision under risk. Econometrica, 47, 263-291.##-        Kahneman, D., &amp; Tversky A. (1992). Advances in Prospect Theory, cumulative representation of uncertainty. Journal of risk and uncertantity, 5, 297- 323.##-        Kirchler,E. Muehlbacher ,S. Kastlunger,B. WaWahl hl, I. (2007). Why Pay Taxes? A Review of Tax Compliance Decisions,  International Center for Public Policy Working Paper Series, at AYSPS, GSUpaper0730, International Center for Public Policy, Andrew Young School of Policy Studies, Georgia State University.##-        Kruschke, J. K. and Vanpaemel, W. (2015). Bayesian estimation in hierarchical models. In: J. R. Busemeyer, Z. Wang, J. T. Townsend, and A. Eidels (Eds.), the Oxford Handbook of Computational and Mathematical Psychology, pp. 279-299. Oxford, UK: Oxford University Press.##-        McKenzie, Richard B. (2010), Predictably Rational: In Search of Defenses for Rational Behavior in Economics, New York: Springer Heidelberg Dordrecht.##-        Marand.A, Motefakker.M, Fallahi.F,(2018). Social Preferences Modeling in Experimental Economics: Introduction and Experimental Evaluation, Journal of Economic Research, Volume 53, Issue 3 - Serial Number 124, Summer 2018, Page 513-542.##-        Nilsson.H, Rieskamp.J,Wagenmakers.E,(2011). Hierarchical Bayesian parameter estimation for cumulative prospect theory, Journal of Mathematical Psychology 55 (2011) 84–93.##-        Ntzoufras, I,(2009). Bayesian Modeling Using Win BUGS, Department of Statistics, Athens University of Economics and Business, WILEY publication.##-        -O’Donoghue, T., &amp; Rabin, M. (1999). Doing it now or later. American Economic Review, 89(1), 103-124.##-        Panahi, M. (2016). “The Rules of Direct Taxes along with Amendments to the Rules in July 22, 2015). National Tax Administration.##-        Piolatto,A.;Rablen,A (2016).”Prospect theory and tax evasion: a reconsideration of the Yitzhaki puzzle”, Theory and Decision, April 2017, Volume 82, Issue 4, pp 543–565.##-        Rahbar, F; Motavaseli, M; Amiri, M. (2013). “Behavioral Economists and Their Theories”. The Journal of Planning and Budgeting, 18th year, (1), pp. 133-165.##-        Rouder, J. N., &amp; Lu, J. (2005). An introduction to Bayesian hierarchical models with an application in the theory of signal detection. Psychonomic Bulletin &amp; Review,12, 573–604.##-        Saghafi,A; Farhadi,R; Taghavi Fard, M.(2015).Beta Risk; Evidence from Prospect Theory . The Journal of Empirical Studies in Financial Accounting, issue 45- Spring 2015, 11th year, pp1-29.[DR1] ##-        Sandmo, A.(2005).The Theory of Tax Evasion: A Retrospective View,  National Tax Journal, 2005, vol. 58, issue 4, 643-63.##-        Shafeie, R. (2016). “Investigating the Influential Factors on Compliance Culture and General Acceptance of Taxes among Taxpayers and Extension Strategies for Western Provinces of Iran”. Deputy Director of Research, Planning and International Affairs.##-        Tafazoli, F. (1996). History of Economic Thoughts from Plato to Contemporary Era. Tehran, Nashre Ney.##-        Teimiuri.E, Renani.M, Moarefi.A, A Critique of Rational Choice from the Viewpoint of Competing Approaches: Behavioral and Experimental Economics and Brain Sciences, Iranian Journal of ECONOMIC RESEARCH.Volume 22, Issue 73, Winter 2018, Page 1-43.##-        Yaniv G., (1999). Tax compliance and advance tax payments: A prospect theory analysis.National Tax Journal 52, 753-64.##-        Pitcher, A. (2008). Investigation of a Behavioral Model for Financial Decision Making. A dissertation submitted for the degree of MSc Mathematical &amp; Computational Finance, Magdalen College University of Oxford, 1-43.##-        Prelec.D,(1998). The Probability Weighting Function, Econionietrica, Vol. 66, No. 3 (May, 1998), 497-527.##-        Rieskamp, J. (2008). The probabilistic nature of preferential choice. Journal of Experimental Psychology: Learning, Memory, and Cognition, 34, 1446–1465.##-        Wagenmakers, E.-J., Lodewyckx, T., Kuriyal, H., &amp; Grasman, R. (2010). Bayesian hypothesis testing for psychologists: A tutorial on the Savage–Dickey method. Cognitive Psychology, 60, 158–189.##-        Wakker.P, Fennema.H,(1997). Original and Cumulative Prospect Theory:A Discussion of Empirical Differences, Journal of Behavioral Decision Making, Vol. 10, 53-64.##</REF>
						</REFRENCE>
					</REFRENCES>
			</ARTICLE>
				<ARTICLE>
                <LANGUAGE_ID>1</LANGUAGE_ID>
				<TitleF>سیاست های پولی و مالی بهینه با تاکید بر خروج تورمی از رکود در ایران: رویکرد الگوهای تعادل عمومی پویای تصادفی</TitleF>
				<TitleE>Optimal Monetary and Fiscal Policies for a Non-Inflationary Exit from Stagnation in Iran: A DSGE Approach</TitleE>
                <URL>https://ijes.shirazu.ac.ir/article_5547.html</URL>
                <DOI>10.22099/ijes.2020.35291.1620</DOI>
                <DOR></DOR>
				<ABSTRACTS>
					<ABSTRACT>
						<LANGUAGE_ID>1</LANGUAGE_ID>
						<CONTENT>The purpose of this paper is to investigate the optimal monetary and fiscal policies with emphasis on a non-inflationary exit from economic stagnation in Iran. In the first stage, Iran’s economy has been modeled in the form of a New Keynesian Dynamic Stochastic General Equilibrium model (NK-DSGE). After modeling and extracting the system of equations, the structural parameters of the model have been estimated by using seasonal data from 1989 to 2016 and also the Bayesian approach. The results show that monetary and fiscal expansionary policies increase production though they are associated with inflation. In the second stage, the optimal monetary and fiscal rules have been extracted from a social loss function, and accordingly the conditions of a non-inflationary exit from stagnation have been investigated. The results of the simulation show that the optimal monetary policy cannot by itself lead to the exit of the economy from stagnation without inflation. However, if this policy is applied along with an optimal fiscal policy, a non-inflationary exit from economic stagnation can be achieved.</CONTENT>
					</ABSTRACT>
					<ABSTRACT>
						<LANGUAGE_ID>0</LANGUAGE_ID>
						<CONTENT>هدف از این مقاله ، بررسی سیاست های بهینه پولی و مالی با تأکید بر خروج غیر تورمی از رکود اقتصادی در ایران است. در مرحله اول ، اقتصاد ایران در قالب یک مدل تعادل عمومی پویای تصادفی (NK-DSGE) مدل سازی شده است. پس از مدل سازی و استخراج سیستم معادلات، پارامترهای ساختاری مدل با استفاده از داده های فصلی سال 1989 تا 2016 و همچنین رویکرد بیزی محاسبه شده است. نتایج نشان می دهد که سیاست های انبساطی پولی و مالی هر چند که تولید را افزایش می دهد، اما با تورم همراه هستند. در مرحله دوم ، قواعد پولی و مالی بهینه از یک تابع زیان اجتنماعی استخراج شده است و بر این اساس شرایط خروج غیر تورمی از رکود بررسی شده است. نتایج شبیه سازی نشان می دهد که سیاست پولی بهینه نمی تواند به خودی خود منجر به خروج اقتصاد از رکود بدون ایجاد تورم شود. اما اگر این سیاست به همراه سیاست مالی بهینه اعمال شود ، می توان شاهد خروج غیر تورمی از رکود اقتصادی بود.</CONTENT>
					</ABSTRACT>
				</ABSTRACTS>
				<PAGES>
					<PAGE>
						<FPAGE>283</FPAGE>
						<TPAGE>314</TPAGE>
					</PAGE>
				</PAGES>
	
				<AUTHORS><AUTHOR>
						<Name>ایمان</Name>
						<MidName></MidName>		
						<Family>روستا</Family>
						<NameE>Iman</NameE>
						<MidNameE></MidNameE>		
						<FamilyE>Rousta</FamilyE>
						<Organizations>
							<Organization>Department of Economics, Shiraz University, Shiraz, Iran.</Organization>
						</Organizations>
						<Countries>
							<Country>Iran</Country>
						</Countries>
						<EMAILS>
							<Email>i.rousta@gmail.com</Email>			
						</EMAILS>
					</AUTHOR><AUTHOR>
						<Name>ابراهیم</Name>
						<MidName></MidName>		
						<Family>هادیان</Family>
						<NameE>Ebrahim</NameE>
						<MidNameE></MidNameE>		
						<FamilyE>Hadian</FamilyE>
						<Organizations>
							<Organization>Department of Economics, Shiraz University, Shiraz, Iran.</Organization>
						</Organizations>
						<Countries>
							<Country>Iran</Country>
						</Countries>
						<EMAILS>
							<Email>ehadian@rose.shirazu.ac.ir</Email>			
						</EMAILS>
					</AUTHOR><AUTHOR>
						<Name>علی حسین</Name>
						<MidName></MidName>		
						<Family>صمدی</Family>
						<NameE>Ali Hussein</NameE>
						<MidNameE></MidNameE>		
						<FamilyE>Samadi</FamilyE>
						<Organizations>
							<Organization>Department of Economics, Shiraz University, Shiraz, Iran.</Organization>
						</Organizations>
						<Countries>
							<Country>ایران</Country>
						</Countries>
						<EMAILS>
							<Email>asamadi@rose.shirazu.ac.ir</Email>			
						</EMAILS>
					</AUTHOR><AUTHOR>
						<Name>پرویز</Name>
						<MidName></MidName>		
						<Family>رستم زاده</Family>
						<NameE>Parviz</NameE>
						<MidNameE></MidNameE>		
						<FamilyE>Rostamzadeh</FamilyE>
						<Organizations>
							<Organization>Department of Economics, Shiraz University, Shiraz, Iran.</Organization>
						</Organizations>
						<Countries>
							<Country>Iran</Country>
						</Countries>
						<EMAILS>
							<Email>parvizrostamzadeh@shirazu.ac.ir</Email>			
						</EMAILS>
					</AUTHOR></AUTHORS>
				<KEYWORDS>
					<KEYWORD>
						<KeyText>سیاست پولی و مالی بهینه</KeyText>
					</KEYWORD>
					<KEYWORD>
						<KeyText>الگوهای تعادل عمومی پویای تصادفی</KeyText>
					</KEYWORD>
					<KEYWORD>
						<KeyText>اقتصاد ایران</KeyText>
					</KEYWORD></KEYWORDS>
				<REFRENCES>
				<REFRENCE>
				<REF>1-        Adam, K (2011). Government debt and optimal monetary and fiscal policy, European Economic Review, 55(1), 57 – 74. DOI: 10.3386/w17319##2-        Al-shawarby, S., &amp; El Mossallamy, M. (2019). Monetary-fiscal policies interactions and optimal rules in Egypt. Review of Economics and Political Science, 4(2), 138-157.##3-        Barsky, R., B., and Kilian, l. (2001). Do We Really Know That Oil Caused the Great Stagflation? A Monetary Alternative. NBER Macroeconomics Annual, 16, 137-198. DOI: 10.1086/654439##4-        Bernanke, B. S., Gertler, M. and Gilchrist, S. (1999). The Financial Accelerator in a Quantitative Business Cycle Framework. Handbook of macroeconomics, 1343-1391. DOI: 10.3386/w6455##5-        Blanchard, O, and Fischer, S (1989). “Lectures on Macroeconomics”, Boston, MIT Press.##6-        Blanchard, Olivier and Kahn, Charles M (1980). The Solution of Linear Difference Models under Rational Expectations. The Journal of Econometrica, 48(5), 1305-1311. DOI: 10.2307/1912186##7-        Branson, W. H. (1989). Macroeconomic Theory and Policy. New York: Harper and Row.##8-        Del Negro, M. and Schorfheide, F. (2008). Forming priors for DSGE models (and how it affects the assessment of nominal rigidities).  Journal of Monetary Economics, Elsevier, 55(7), 1191-1208. DOI:  10.3386/w13741##9-        Dixit, A. K., and J. E. Stiglitz (1977). Monopolistic competition and optimum product diversity. The American Economic Review, 67, 297-308. DOI: 10.7916/D8S75S91##10-    Dixit, A., and Lambertini, L. (2003). Symbiosis of Monetary and Fiscal Policies in a Monetary Union. The Journal of International Economics, 60, 235-247. DOI: 10.1016/s0022-1996(02)00048-x##11-    Farazmand, H., Ghorbannejad, M., and PourJavan, A. (2013). Determine the optimal monetary and fiscal policy rules in economy of Iran. The Quarterly Journal of Economic Research and Policies, 21(67), 69-88.##12-    Friedman, M. (1969). The Optimum Quantity of Money, and Other Essays. Chicago: Aldine Pub. Co.##13-    Gali, J (2007). Monetary policy, Inflation and the Business Cycle: An Introduction to New Keynesian Economics, New Jersy, Princeton University Press.##14-    Gali­, J. and Monacelli, T. (2008). Optimal monetary and fiscal policy in a currency union. Journal of International Economics, Elsevier, 76(1), 116-132. DOI: 10.1016/j.jinteco.2008.02.007##15-    Glain, P. (2007). The Optimal Monetary Policy Rule for the European Central Bank. Department of Economics, University of Pisa.##16-    Ireland, P. (2004). A Method for Taking Models to the Data. Journal of Economic Dynamics and Control, Elsevier, 28(6), 1205-1226. DOI: 10.5018/economics-ejournal.ja.2007-4##17-    Jafari Samimi, A., and Tehran chian, A. M., (2004). The effect of optimal monetary and fiscal policies on major macroeconomic indicators in Iran: An application of optimal control theory. Journal of Economic Research (Tahghighat- E- Eghtesadi), 65, 213-242.##18-    khani gharieh gapi, N., sahabi, B., azizi, F., and sabagh kermani, M. (2014). Identification of Stagflation Causes in Iran: A Threshold Error Correction Method. The Quarterly Journal of Economic Modeling, 7(24), 19-35.##19-    Kydland, F., E., and Prescott C., E. (1977). Rules Rather than Discretion: The Inconsistency of Optimal Plans. Journal of Political Economy, 85(3), 473-492. DOI: 10.1086/260580##20-    Mankiw, G. N. (1985). Small Menu Costs and Large Business Cycles: A Macroeconomic Model of Monopoly. The Quarterly Journal of Economics, 100(2), 529-537. DOI: 10.2307/1885395##21-    McCallum, B (1989). Targets, Indicators, and Instruments of Monetary Policy. NBER Working Papers 3047, National Bureau of Economic Research, Inc.##22-    Motavaseli M., Ebrahimi I., Shahmoradi A., and Komijani A. (2011). A New Keynesian Dynamic Stochastic General Equilibrium (DSGE) Model for an Oil Exporting Country. QJER, 10 (4), 87-116.##23-    Nitzan, J. (1998). Differential accumulation: Towards a new political economy of capital. Review of International Political Economy, 5, 169–216. DOI: 10.1080/096922998347543##24-    Pajouyan, J. (2016). Public Sector Economic (Taxes). Tehran: publisher of Jungle.##25-    Roger, B. (1981). The proper medicine for stagflation. Technology in Society, l3, 45-62. DOI: 10.1016/0160-791X(81)90012-9##26-    Rotemberg, J., J. (1982). Sticky Prices in the United States. Journal of Political Economy, 90(6), 1187-1211. DOI: 10.1086/261117##27-    Schmitt, G., S., and Uribe, M. (2004). Optimal fiscal and monetary policy under sticky prices. Journal of Economic Theory, 114, 198-230. DOI: 10.1007/s40797-016-0038-7##28-    Schorfheide, F. (2000). Loss function-based evaluation OF DSGE models. Journal of Applied Econometrics, 15, 645-670. DOI: 10.1002/jae.582##29-    Snowdon, B., Vane, H. R., and Wynarczyk, P. (1994). A Modern Guide to Macroeconomics: An Introduction to Competing Schools of Thought. Aldershot, Hants, England: E. Elgar Pub.##30-    Tavakolian, H. (2012). A New Keynesian Phillips Curve in a DSGE Model for Iran. Journal of Economic Research (Tahghighat- E- Eghtesadi), 47(3), 1-22.##31-    Tavakolian, H., and Sarem, M. (2016). DSGE models in DYNARE (modeling, Solution and Estimation for Iran). Central Bank of the Islamic Republic of Iran,Monetary and Banking Research Institute press.##32-    Tayebi, S. K., Zamani, Z., and Malek Hosseini, S.H. (2015). The reaction of production and foreign trade to exchange policy for exit of economy from stagnation without inflation. The Journal of Financial Economy, 10(34), 1-32.##33-    Taylor, J (1993).  Discretion versus policy rules in practice. Carnegie – Rochester Conference Series on Public Policy, 39, 195 – 214.##34-    Uhlig, H. (1999). A Toolkit for Analyzing Nonlinear Dynamic Stochastic Models Easily. Tilburg University - Center for Economic Research - Discussion Paper 95-97.##35-    Walsh, C. E. (2010). Monetary Theory and Policy. Cambridge, Mass: MIT Press, third edition, London.##</REF>
						</REFRENCE>
					</REFRENCES>
			</ARTICLE>
				<ARTICLE>
                <LANGUAGE_ID>1</LANGUAGE_ID>
				<TitleF>یارانه‌های صادراتی استراتژیک تحت محصولات متمایز</TitleF>
				<TitleE>Strategic Export Subsidies under Product Differentiation</TitleE>
                <URL>https://ijes.shirazu.ac.ir/article_5669.html</URL>
                <DOI>10.22099/ijes.2020.35423.1623</DOI>
                <DOR></DOR>
				<ABSTRACTS>
					<ABSTRACT>
						<LANGUAGE_ID>1</LANGUAGE_ID>
						<CONTENT>This paper focuses on strategic trade policy in the form of export subsidies in Cournot duopoly structure for differentiated goods. Export subsidies affect social welfare in both static and dynamic situations , and the aim of this paper is to analyze and compare the welfare effects of export subsidies in one-period and multi-period games in differentiated goods markets. To analyze the welfare effects of export subsidies, a two-stage game of complete but inperfect information is considered. In the first stage, two governments determine the amount of export subsidies and in the second stage, two firms determine the product level. The results show that, given that the firms’ competitiveness do not differ so much, export subsidies by both governments increase the firms’ profits and decrease social welfare of both countries. In an infinitely repeated game with different discount factors for both countries, and by adopting trigger strategy, we create some conditions, in which both governments commit free trade. However, if the competitiveness of one firm is so greater than the other, free trade using trigger strategy is not stable and the country with more competitive firm has incentive to deviate.</CONTENT>
					</ABSTRACT>
					<ABSTRACT>
						<LANGUAGE_ID>0</LANGUAGE_ID>
						<CONTENT>این مقاله بر سیاست تجاری استراتژیک در قالب یارانه‌های صادراتی در ساختار انحصار دوجانبه کورنو برای محصولات متمایز تمرکز می‌کند. یارانه‌های صادراتی در هر دو حالت ایستا و پویا بر رفاه اجتماعی اثر می‌گذارند و هدف این مقاله تحلیل و مقایسه اثرات رفاهی یارانه‌های صادراتی در بازی‌های یک‌دوره‌ای و چنددوره‌ای در بازار محصولات متمایز می‌باشد. برای تحلیل اثرات یارانه‌های صادراتی، یک بازی دومرحله‌ای با اطلاعات تمام اما ناقص درنظر گرفته شده است. در مرحله اول، دو دولت مقدار یارانه صادراتی را تعیین نموده و در مرحله دوم، دو بنگاه سطح محصول را تعیین می‌کنند. نتایج نشان می‌دهند که با فرض وجود اختلاف ناچیز رقابت‌پذیری بنگاه‌ها، یارانه‌های صادراتی توسط هردو دولت، سود بنگاه‌ها را افزایش اما رفاه اجتماعی دو کشور را کاهش می‌دهند. در یک بازی تکراری نامحدود با فرض عوامل تنزیل متفاوت برای دو کشور، و با اتخاذ استراتژی ماشه، شرایطی را مهیا کرده‌ایم که در آن هردو دولت به تجارت آزاد پایبند می‌شوند. اما اگر رقابت‌پذیری یکی از بنگاه‌ها خیلی بیشتر از دیگری باشد، تجارت آزاد با استفاده از استراتژی ماشه پایدار نبوده و کشور با بنگاه رقابت‌پذیرتر، انگیزه برای انحراف دارد.</CONTENT>
					</ABSTRACT>
				</ABSTRACTS>
				<PAGES>
					<PAGE>
						<FPAGE>315</FPAGE>
						<TPAGE>334</TPAGE>
					</PAGE>
				</PAGES>
	
				<AUTHORS><AUTHOR>
						<Name>یونس</Name>
						<MidName></MidName>		
						<Family>برومند</Family>
						<NameE>Younes</NameE>
						<MidNameE></MidNameE>		
						<FamilyE>Brumand</FamilyE>
						<Organizations>
							<Organization>Department of Economics, Urmia University, Urmia, Iran</Organization>
						</Organizations>
						<Countries>
							<Country>Iran</Country>
						</Countries>
						<EMAILS>
							<Email>y.brumand@yahoo.com</Email>			
						</EMAILS>
					</AUTHOR><AUTHOR>
						<Name>کیومرث</Name>
						<MidName></MidName>		
						<Family>شهبازی</Family>
						<NameE>Kiumars</NameE>
						<MidNameE></MidNameE>		
						<FamilyE>Shahbazi</FamilyE>
						<Organizations>
							<Organization>Department of Economics, Urmia University, Urmia, Iran</Organization>
						</Organizations>
						<Countries>
							<Country>Iran</Country>
						</Countries>
						<EMAILS>
							<Email>k.shahbazi@urmia.ac.ir</Email>			
						</EMAILS>
					</AUTHOR></AUTHORS>
				<KEYWORDS>
					<KEYWORD>
						<KeyText>سیاست تجاری استراتژیک</KeyText>
					</KEYWORD>
					<KEYWORD>
						<KeyText>یارانه‌های صادراتی</KeyText>
					</KEYWORD>
					<KEYWORD>
						<KeyText>محصولات متمایز</KeyText>
					</KEYWORD>
					<KEYWORD>
						<KeyText>تعادل نش</KeyText>
					</KEYWORD>
					<KEYWORD>
						<KeyText>بازی تکراری</KeyText>
					</KEYWORD></KEYWORDS>
				<REFRENCES>
				<REFRENCE>
				<REF>Brander, J. (1995). Strategic Trade Policy. InG. Grossman and K. Rogoff (ed.), Handbook of International Economics (3). Netherland: North-Holland.##Brander, J. (1998). Rationales for Strategic Trade and Industrial Policy. In P. Krugman (ed.), Strategic Trade Policy and the New International Economic. Massachusetts: The MIT Press,##Brander, J., &amp; Spencer, B. (1983). Strategic Commitment to R&amp;D: The Symmetric Case. Bell Journal of Economics, 140, 225-35. DOI:10.2307/3003549.##Brander, J., &amp; Spencer, B. (1985). Export Subsidies and International Market Share Rivalry. Journal of International Economics, 18, 83-100. DOI:10.1016/0022-1996(85)90006-6.  ##Collie, D. (1993). Profit-Shifting Export Subsidies and the Sustainability of Free Trade.  Scottish Journal of Political Economy, 40, 408-419. DOI:10.1111/j.1467-9485.1993.tb00663.x.##De Meza, D. (1986). Export Subsidies and High Productivity: Cause or Effect?. Canadian Journal of Economics, 19, 347-350.##Dutta, P. (1999). Strategies and Games: Theory and Practice. Massachusetts: The MIT Press. ##Eaton, J., &amp; Grossman, G. (1986). Optimal Trade and Industrial Policy under Oligopoly. The Quarterly Journal of Economics, 101, 383-406. DOI: 10.2307/1891121.##Fudenberg, D., &amp; Tirole, J. (1991). Game Theory. Massachusetts: The MIT Press.##Gaudet, G., &amp; Salant, S. (1991). Increasing the Profits of a Subset of Firms in Oligopoly Models with Strategic Substitutes. American Economic Review, 81, 658-65.##Gibbons, R. (1992). Game Theory for Applied Economists. Princeton: Princeton University Press.##Halland, J., &amp; Kind, H. (2008). R &amp; D Policies, Trade and Process Innovation. Journal of International Economics, 74, 170-87. DOI:10.1016/j.jinteco.2007.04.001.##Kondo, H. (2013). International R &amp; D Subsidy Competition, Industrial Agglomeration and Growth. Journal of International Economics, 89, 225-33. DOI:10.1016/j.jinteco.2012.04.004.##Krugman, P. (1986). Strategic Trade Policy and the New International Economics. Massachusetts: The MIT Press.##Lahiri, S., &amp; Ono, Y. (2004). Trade and Industrial Policy under International oligopoly. Cambridge: Cambridge University Press.##Orgun, B. (2012). Strategic Trade Policy Versus Free Trade. Procedia - Social and Behavioral Sciences, 58, 1283-1292. DOI:10.1016/j.sbspro.2012.09.1111.##Pires, A. (2015). Competitiveness-shifting Effects and the Prisoner&#039;s Dilemma in International R &amp; D Subsidy Wars. International Economics, 142, 32-49. DOI:10.1016/j.inteco.2015.01.002.##Qiu, L. (1994). Optimal Strategic Trade Policy under Asymmetric Information. Journal of international economics, 36, 333-354. DOI:10.1016/0022-1996(94)90007-8.##Shy, O. (1995). Industrial Organization: Theory and Applications. Massachusetts: The MIT Press.##Spencer, B., &amp; Brander, J. (1983). International R &amp; D Rivalry and Industrial Strategy, Review of Economic Studies, 50, 707-722.  DOI:10.2307/2297771##Takalo, T., Tanayama, T., &amp; Tojyanen, O. (2013). Market Failures and the Additionality Effects of Public Support to Private R &amp; D: Theory and Empirical Implications. International Journal of Industrial Organization, 31, 634-42. DOI:10.1016/j.ijindorg.2013.02.002.##Tirole, J. (1988). The Theory of Industrial Organization. Massachusetts: The MIT Press.##Yoon, J., &amp; Choi, K. (2018). Why Do Export Subsidies still Exist? R&amp;D and Output Subsidies. Japan and the World Economy, 45, 30-38. DOI:10.1016/j.japwor.2017.12.002.##</REF>
						</REFRENCE>
					</REFRENCES>
			</ARTICLE>
				<ARTICLE>
                <LANGUAGE_ID>1</LANGUAGE_ID>
				<TitleF>فرایند توسعه کسب وکارنوآورانه در حوزه گردشگری پزشکی در ایران</TitleF>
				<TitleE>The Process of Developing an Innovative Medical Tourism Business in Iran</TitleE>
                <URL>https://ijes.shirazu.ac.ir/article_5671.html</URL>
                <DOI>10.22099/ijes.2020.33886.1579</DOI>
                <DOR></DOR>
				<ABSTRACTS>
					<ABSTRACT>
						<LANGUAGE_ID>1</LANGUAGE_ID>
						<CONTENT>The aim of this paper was to investigate the processes of organizational innovation in medical tourism businesses. Specifically, this research aimed to answer: ―What is the process of developing medical tourism businesses in a developing country like Iran?‖ For this purpose, a grounded theory approach was used. In-depth interviews were conducted with fifteen medical tourism entrepreneurs who had experienced the above mentioned process. Analyzing the structure of values and interactions of entrepreneurs with others through their interviews led to the formation of an intermediate theory. The pattern obtained from this study shows that the main category that led to innovations among the studied medical tourism businesses was entrepreneurs’ tendency to create entrepreneurial activities, that is an innovative initiative. Based on our findings, should an innovative entrepreneur be affected by intermediate and environmental conditions, he or she introduces specific strategies to effectively carry out entrepreneurial activities that are discussed in this paper.</CONTENT>
					</ABSTRACT>
					<ABSTRACT>
						<LANGUAGE_ID>0</LANGUAGE_ID>
						<CONTENT>هدف از مقاله حاضر بررسی فرایند نوآوری سازمانی در کسب وکارهای گردشگری پزشکی است. به ویژه هدف این پژوهش پاسخ به این سوال است که فرایند توسعه کسب وکارهای نوآورانه در حوزه گردشگری پزشکی در کشور درحال توسعه ای مانند ایران چیست؟ بدین منظور نظریه برخاسته از داده مورد استفاده قرار گرفت. مصاحبه های عمیقی با پانزده نفر از کارآفرینان گردشگری پزشکی انجام شد که در زمینه نوآوری تجربه داشتند. تحلیل داده ها منجر به شکل گیری نظریه میانی شد. الگو به دست آمده از نتایج تحلیل نشان می دهد که پدیده اصلی که منجر به نوآوری در میان کسب وکارهای مورد مطالعه شد، تمایل کارآفرینان برای فعالیت های کارآفرینی است که یک اقدام نوآورانه است. یافته های پژوهش نشان داد که عوامل واسطه ای و شرایط محیطی باعث می شود کارآفرینان استراتژی های خاصی را انتخاب می کند تا اقدامات کارآفرینانه را به صورت موثر انجام دهد.</CONTENT>
					</ABSTRACT>
				</ABSTRACTS>
				<PAGES>
					<PAGE>
						<FPAGE>335</FPAGE>
						<TPAGE>348</TPAGE>
					</PAGE>
				</PAGES>
	
				<AUTHORS><AUTHOR>
						<Name>طیبه</Name>
						<MidName></MidName>		
						<Family>نیک رفتار</Family>
						<NameE>Tayebeh</NameE>
						<MidNameE></MidNameE>		
						<FamilyE>Nikraftar</FamilyE>
						<Organizations>
							<Organization>Business Department, Faculty of Entrepreneurship, University of  Tehran,Tehran, Iran.</Organization>
						</Organizations>
						<Countries>
							<Country>Iran</Country>
						</Countries>
						<EMAILS>
							<Email>tnikraftar@gmail.com</Email>			
						</EMAILS>
					</AUTHOR><AUTHOR>
						<Name>نازنین</Name>
						<MidName></MidName>		
						<Family>فلاحتی</Family>
						<NameE>Nazanin</NameE>
						<MidNameE></MidNameE>		
						<FamilyE>Falahati</FamilyE>
						<Organizations>
							<Organization>Business Department, Faculty of Entrepreneurship, University of  Tehran,Tehran, Iran.</Organization>
						</Organizations>
						<Countries>
							<Country>Iran</Country>
						</Countries>
						<EMAILS>
							<Email>naz.flht@gmail.com</Email>			
						</EMAILS>
					</AUTHOR></AUTHORS>
				<KEYWORDS>
					<KEYWORD>
						<KeyText>کسب وکارهای گردشگری پزشکی</KeyText>
					</KEYWORD>
					<KEYWORD>
						<KeyText>نوآوری</KeyText>
					</KEYWORD>
					<KEYWORD>
						<KeyText>نظریه برخاسته از داده</KeyText>
					</KEYWORD>
					<KEYWORD>
						<KeyText>ایران</KeyText>
					</KEYWORD></KEYWORDS>
				<REFRENCES>
				<REFRENCE>
				<REF>Afuah, A. (1998). Responding to Structural Industry Changes: A Technological Evolution Perspective. Oxford University Press, Usa, 6(1), 183-202.##Alsharif, M.J.,  Labonte,R &amp; Lu, Z. (2010).  Patients beyond borders: a study of medical tourists in four countries. Global Soc. Policy, 10 (3), 315–335.##Balaban, V. and Marano, C. (2010). Medical tourism research: a systematic review. International Journal of Infectious Diseases, 14(1), 135.##Breakwell, G. M., Hammond, S. &amp; Fife-Schaw, C. (Eds.) (2000). Research Methods in Psychology. London: Sage.##Caballero-Danell S, Mugomba C. (2007). Medical tourism and its entrepreneurial opportunities: A conceptual framework for entry into the industry. Rapport nr: Master Thesis. Available at https://gupea.ub.gu.se/handle/2077/4671##Charmaz K. (2006). Constructing Grounded Theory. A Practical Guide through Qualitative Analysis. London: SAGE.##Ciasullo, Maria V., Cosimato, S &amp; Pellicano, M. (2017). Service Innovations in the Healthcare Service Ecosystem: A Case Study. Systems,5(37), 1-29.##Cormany, D. and Baloglu, S. (2011). ‘Medical travel facilitator websites: an exploratory study of web page contents and services offered to the prospective medical tourist, Tourism Management, 32(4), 709-16.##Creswell, J.W. (2008). Educational Research: Planning, Conducting, and Evaluating Quantitative and Qualitative Research. 3rd ed. Pearson Education International.##Crooks, V. A., Kingsbury, P., Snyder, J., &amp; Johnston, R. (2010). What is known about the patient’s experience of medical tourism? A scoping review. BMC Health Services Research, 10, 1-12.##Decelle, X. (2006). A dynamic conceptual approach to innovation in tourism. In OECD, Innovation and Growth in Tourism (pp. 85–106). Paris: OECD Publishing. Available at http://dx.doi.org/10.1787/9789264025028-7-en.##Dooley, L., &amp; Sullivan, D. (2007). Managing within distributed innovation networks. International Journal of Innovation Management, 11(3), 397-416.##Edwards, T., Delbridge, R. &amp; Munday, M. (2005). Understanding innovation in small and medium-sized enterprises: A process manifest. Technovation, 25(10), 1119-1127.##Endres, A.M ·&amp; Wood, C.R. (2010). Schumpeter’s ‘conduct model of the dynamic entrepreneur’: scope and distinctiveness. J Evol Econ, 20:583–607.##Gan, L. L., &amp; Frederick, J. R. (2011). Medical tourism facilitators: Patterns of service differentiation. Journal of Vacation Marketing, 17(3), 165–183.##Hall, M. (2011). Health and medical tourism: A kill or cure for global public health?##Tourism Review, 66(1/2): 4-15.##Hilami, M. F., Ramayah, T., Mustapha, Y., &amp; Pawanchik, S. (2010). Product and Process Innovativeness, Evidence from Malaysian SMEs. European Journal of Social Science. 16(4), 557-568.##Iranmanesh M, Moghavvemi S, Zailani S, Hyun SS (2018). The role of trust and religious commitment in Islamic medical tourism. Asia Pacific Journal of Tourism Research, 23(3):245-59.##Ireland, R. D., Hitt, M. A., &amp; Sirmon, D. G. (2003). A Model of Strategic Entrepreneurship: The Construct and its Dimensions. Journal of Management, 29(6), 963–989.##Izadi, M, Ayoobian, A Nasiri, T, Joneidi, N, Fazel, M and Hosseinpourfard, MJ. (2012). Situation of health tourism in Iran opportunity or threat. Jl Mil Med, 14 (2), 69-75.##Jończyk, J.A. (2014). Doctors&#039; Opinions on the Pro-Innovation Attributes of Organisational Culture – The Results of Empirical Research. Argumenta Oeconomica Cracoviensia : 11: 81–99.##Johnston R, Crooks VA, Snyder J, Kingsbury P. (2010). What is known about the effects of medical tourism in destination and departure countries? A scoping review. International Journal for Equity in Health, 9:24.##Lajevardi, M. (2016). A Comprehensive Perspective on Medical Tourism Context and Create a Conceptual Framework. Journal of Tourism &amp; Hospitality, 5:5##Lunt, N, Horsfall, &amp; D, Hanefeld, J. (2016). Medical tourism: A snapshot of evidence on treatment abroad.  Maturitas, 88: 37–44.##Marxt, C. &amp; Hacklin, F. (2005). Design, product development, innovation: All the same in the end? A short discussion on terminology. Journal of Engineering Design, 16(4):413-421.##Mehmetoglu, M&amp; Levent , A. (2006). Examination of Grounded Theory Analysis with an Application to Hospitality Research. International Journal of Hospitality Management 25: 12–33.##Muzaffar, F &amp; Hussain, L. (2007). Medical tourism: are we ready to take the challenge? Journal of Pakistan Association of Dermatologists, 17: 215-218.##Pedersen, C. R., &amp; Dalum, B. (2004). Incremental Versus Radical Change - The Case of The Digital North Denmark Program. 10th International Schumpeter Society Conference, 2004. Bocconi University, Milano, Italy.##Robertson, T. S. (1967). The process of innovation and the diffusion of innovation. Journal of Marketing, 31: 14-19.##Rothwell R (1992) Successful industrial innovation: critical factors for the 1990s. R&amp;D Management. 22(3): 221-240.##Salge, TO. (2012). The temporal trajectories of innovative search: insights from public hospital services. Res Policy, 41:720-3.##Schumpeter, J. A. (1934). The theory of economic development: An inquiry into profits, capital, credit, interest, and the business cycle. Cambridge, MA: Harvard University Press.##Sandberg, Debra S. (2017). Medical tourism: An emerging global healthcare industry. International Journal of Healthcare Management . 10(4): 281-288.##Sarasvathy, S.(2006). Effectuation: Elements of Entrepreneurial Expertise. Cheltenham, U.K.: Edward Elgar.##Spisto, M. (2011). Medical Tourism, the Future of Health Services Dr Christine Lee Tourism Research Unit (TRU), Department of Management, Monash University, Australia.##Steyaert, C., Bouwen, R., &amp; Van Looy, B. (1996). Conversational construction of new meaning:##Configurations in organizational innovation—A generative approach. European Journal of##Work and Organizational Psychology. 5(1):67–89.##Strauss, A., &amp; Corbin, J. M. (1990). Basics of qualitative research: Grounded theory procedures and techniques. Thousand Oaks, CA, US: Sage Publications, Inc.##Tajeddini, K. (2011). Customer orientation, learning orientation, and new service development. Journal of Hospitality &amp; Tourism Research, 35: 437-468.##Tehseen, S., Sulaiman, S., Ramayah, T., &amp; Gadar, K. (2015). An Intra-Cultural Study of Entrepreneurial Competencies and SMEs Business Success in Whole Sale and Retail Industries of Malaysia: -A Conceptual Model. Review of Integrative Business Research and Economics, 4(3), 33–48##Tidd, J. &amp; Bessant, J. (2009). Managing innovation: Integrating technological, market and organizational change (4th ed.). Hoboken, NJ: John Wiley &amp; Sons.##Timmons, J. A. (1978). Characteristics and role demands of entrepreneurship. American Journal of Small Business, 3(1), 5–17##Sharma, A. (2013). Medical tourism: emerging challenges and future prospects.##International Journal of Business and Management invention, 2(1), 21-29.##Thakur, R &amp; Hale, D. (2013). Service innovation: A comparative study of U.S. and Indian service firms. Journal of Business Research, 66(8), 1108–1123.##Veerasoontorn, R. Beise-Zee. (2010).  International hospital out shopping: a staged model of push and pull factors. Int. J. Pharma. Healthcare Market. 4 (3): 247–264.##</REF>
						</REFRENCE>
					</REFRENCES>
			</ARTICLE>
				<ARTICLE>
                <LANGUAGE_ID>1</LANGUAGE_ID>
				<TitleF>الگوی توصیفی از اقتصاد مقاومتی: تحلیل گفتمان از سخنان رهبر معظم انقلاب اسلامی ایران</TitleF>
				<TitleE>A Descriptive Model of Resilient Economy: A Discourse Analysis of the Language Utilized by the Supreme Leader of Islamic Republic of Iran</TitleE>
                <URL>https://ijes.shirazu.ac.ir/article_5709.html</URL>
                <DOI>10.22099/ijes.2020.35850.1632</DOI>
                <DOR></DOR>
				<ABSTRACTS>
					<ABSTRACT>
						<LANGUAGE_ID>1</LANGUAGE_ID>
						<CONTENT>This investigation is an endeavor to appraise the language of Resilient economy aiming at modeling it discursively for the first time in Iran. In this vein, postulating the thematic analysis proposed by Ary et al. (2010) as the analytical framework, this study integrated the concepts utilized in the discourse of Resilient economy extracted from various materials, articles, excerpts, interviews, and questionnaires through diverse qualitative techniques such as open, axial, and selective codifications. Moreover, to select a subset of common concepts and remove the redundant ones, factor analysis was applied as a quantitative technique. The findings elucidated two major theoretical views, i.e. macroscopic and microscopic. Macroscopic view accounts for the themes of history and philosophy behind Resilient economy, while microscopic view illuminates four themes of requirements, principles, objectives, and application procedures, which altogether comprised a model describing Resilient economy in the Iranian context. In the denouement, it was concluded that Resilient economy is the essence of Islamic and monotheistic economy where justice, fairness, democracy and knowledge shine as its premises, conducive to bolstering independence, flourish, innovation, entrepreneurship, and constant success and growth. Parenthetically, the study proposed some implications for economics teachers and discourse analysts at the end.</CONTENT>
					</ABSTRACT>
					<ABSTRACT>
						<LANGUAGE_ID>0</LANGUAGE_ID>
						<CONTENT>-</CONTENT>
					</ABSTRACT>
				</ABSTRACTS>
				<PAGES>
					<PAGE>
						<FPAGE>349</FPAGE>
						<TPAGE>373</TPAGE>
					</PAGE>
				</PAGES>
	
				<AUTHORS><AUTHOR>
						<Name>سید محمد علی</Name>
						<MidName></MidName>		
						<Family>سوزنده فر</Family>
						<NameE>Seyyed Mohammad Ali</NameE>
						<MidNameE></MidNameE>		
						<FamilyE>Soozandehfar</FamilyE>
						<Organizations>
							<Organization>Department of Teaching English as a Foreign Language (TEFL), University of Hormozgan, Bandar Abbas, Iran</Organization>
						</Organizations>
						<Countries>
							<Country>Iran</Country>
						</Countries>
						<EMAILS>
							<Email>soozandehfar@yahoo.com</Email>			
						</EMAILS>
					</AUTHOR><AUTHOR>
						<Name>مرضیه</Name>
						<MidName></MidName>		
						<Family>سوزنده فر</Family>
						<NameE>Marzieh</NameE>
						<MidNameE></MidNameE>		
						<FamilyE>Souzandehfar</FamilyE>
						<Organizations>
							<Organization>Department of Translation Studies, Faculty of Literature and Humanities, Jahrom University, Jahrom, Fars, Iran</Organization>
						</Organizations>
						<Countries>
							<Country>Iran</Country>
						</Countries>
						<EMAILS>
							<Email>mzsouzandeh@gmail.com</Email>			
						</EMAILS>
					</AUTHOR></AUTHORS>
				<KEYWORDS>
					<KEYWORD>
						<KeyText>تحلیل گفتمان</KeyText>
					</KEYWORD>
					<KEYWORD>
						<KeyText>اقتصاد مقاومتی</KeyText>
					</KEYWORD>
					<KEYWORD>
						<KeyText>ایران</KeyText>
					</KEYWORD></KEYWORDS>
				<REFRENCES>
				<REFRENCE>
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Multivariate Behavioral Research, 12(1), 43-47.##Denton, F. T. and Spencer, B. (1998), &quot;Demographic Trends, Labour Force Participation, and Long-Term Growth,&quot; in Thomas J. Courchene and Thomas A. Wilson (eds.), Fiscal Targets and Economic Growth, Kingston: John Deutsch Institute, Queen&#039;s University.##Dudley-Evans, T. &amp; St. John, M. J. (1997). Developments in English for Specific Purposes: a multidisciplinary approach. Cambridge, UK: Cambridge University Press.##Dudley-Evans, T. (2001). Editorial. English for Specific Purposes, 20, 311-312.##Ekhtiari, M. (2010). Resilient economy: a strategy to neutralize sanctions. Keihan Newspaper, News Code: 4922.##Esmaeeli, B. (2008). From economic resistance to Resilient economy. Keihan Newspaper, No. 19807, p. 14.##Ghaeminia, A. A. (2011). Role of family in promoting Resilient economy. Keihan Newspaper, News Code: 4844.##Ghasemi, A. (2010). Resilient economy against economic sanction. 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Role and position of knowledge-based institutions in developing Resilient economy. Keihan Newspaper, News Code: 4780.##Jones, C. I. (1995). R&amp;D-Based Models of Economic Growth. Journal of Political Economy, 103 (4), 759-784.##Kaiser, H. (1974). An index of factor simplicity. Psychometrika 39, 31-36.##Kamrani Rad, A. H. (2010). From economic resilience to Resilient economy. Keihan Newspaper, Code: 4062.##Khandouzi, S. E. (2010). Two layers of a resilient economy. Keihan newspaper, News Code: 4090.##Maleki, M. (2012). From Resilient economy to Epic economy. News Code: 4996##Mason, I. (1992). Discourse, ideology, and translation. In A. de Beaugrande &amp; M. H. Heliel (Eds.). Language, discourse and translation in the West and Middle East (pp. 23-34). Amsterdam: John Benjamins.##Mauranen, A. (1993). Cultural Differences in Academic Rhetoric: A Textlinguistic Study. Frankfurt: Peter Lang.##McCloskey, M., Caramazza, A., &amp; Green, B. (1980). Curvilinear motion in the absence of external forces: Naive beliefs about the motion of objects. Science, 210, 1139-I141.##Mead, R. and Henderson, W. (2008). Conditional form and meaning in Economics text; English for Specific Purposes. Cambridge: Cambridge University Press.##Mirowski, P. (1991). The when, the how and the why of mathematical expression in the history of economic analysis. Journal of Economic Perspectives, 5(1), 145-157.##Peighami, A. (2010). Resilient economy: defensive or mentoring economy? Keihan Newspaper, News Code: 4924.##Pooria, A. (2010). Role of commerce in Resilient economy. Keihan Newspaper, News Code: 20448.##Soleimani, M. (2010). Six necessities of implementing Resilient economy. Keihan Nwespaper, News Code: 37066.##Soozandehfar, S., Sahragard, R. (2017). A Putative Model of Transformative Teaching Self. Applied Research on English Language, 6(3), 363-386. doi: 10.22108/are.2017.103311.1083##Sorkhedehi, F. (2012). Role of publicizing economy in Resilient economy and its strategies. Faculty of Economics, Alzahra University.##Tadros, A. (1985). Prediction in Text. Birmingham, UK: The University of Birmingham, English Language Research.##Titscher, S., Wodak, R., Meyer, M. and Vetter, E. (1998) Methoden der Textanalyse. Opladen/Wiesbaden: Westdeutscher Verlag.##van Dijk, T. A. (1977). Text and context. London: Longman.##van Dijk, T. A. (1980). Macrostructures. Hillsdale, NJ: Lawrence Erlbaum.##van Dijk, T. A. (1981). Studies in the pragmatics of discourse. The Hague &amp; Berlin: Mouton/de Gruyter.##van Dijk, T. A. (1983). Minderheden in the media (Minorities in the media). Amsterdam: Socialistische Uitgeverij Amsterdam.##van Dijk, Teun A., and Kintsch, W. (2004) Strategies of Discourse Comprehension. New York: Academic Press.##</REF>
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			</ARTICLE>
				<ARTICLE>
                <LANGUAGE_ID>1</LANGUAGE_ID>
				<TitleF>شناسایی و اولویت‌بندی شاخص‌های مشارکت عمومی- خصوصی در صنعت آب و فاضلاب ایران با استفاده از الگوریتم‌های داده‌کاوی</TitleF>
				<TitleE>Identification and Prioritization of Public-Private Partnership Indicators in Iran’s Water and Wastewater Industry via Data Mining Algorithms</TitleE>
                <URL>https://ijes.shirazu.ac.ir/article_5713.html</URL>
                <DOI>10.22099/ijes.2020.35590.1625</DOI>
                <DOR></DOR>
				<ABSTRACTS>
					<ABSTRACT>
						<LANGUAGE_ID>1</LANGUAGE_ID>
						<CONTENT>The restrictions of government resources and the recent alterations in the economy have prompted government agencies to employ the capacities of private sector in all infrastructures. In this regard, a variety of financing methods, including the participatory models, have been applied for many years in the water and wastewater industry of Iran. The aim of this study is to identify and prioritize the Public-Private Partnership (PPP) indicators in the water and wastewater industry of Iran via machine learning techniques. To this end, after collecting, preparing and preprocessing the data, weighted indexing techniques including information gain and Gini index were utilized to prioritize the PPP factors. The results indicated that 93% of the indicators were effective in predicting the success of the projects. To compare the two methods, the precision of Naïve Bayes and Random Forest classifiers were taken into account and the information gain method yielded more reasonable findings with one percent difference. The evaluation of indicators elucidated that &quot;complaints about service quality,&quot; &quot;contract type,&quot; and &quot;Conventional tariffs&quot; revealed a huge impact on the success of collaborative projects. Among the 15 indicators, eight were directly pertinent to the project financing which is the main concern in this industry.</CONTENT>
					</ABSTRACT>
					<ABSTRACT>
						<LANGUAGE_ID>0</LANGUAGE_ID>
						<CONTENT>محدودیت منابع دولتی، لزوم استفاده از ظرفیت‌های بخش خصوصی را به یک ضرورت تبدیل نموده است. در این راستا استفاده از انواع روش‌های تأمین منابع مالی ازجمله مدل‌های مشارکتی، سالیانی است که در صنعت آب و فاضلاب در حال استفاده می‌باشد. هدف این پژوهش مرور ادبیات و اولویت‌بندی شاخص‌های مشارکت عمومی- خصوصی در صنعت آب و فاضلاب با استفاده از تکنیک‌های داده‌کاوی می‌باشد. به‌منظور تحقق این امر، پس از جمع‌آوری، آماده‌سازی و پیش‌پردازش داده، از تکنیک‌های شاخص وزن دهی شامل شاخص سود اطلاعاتی و شاخص جینی جهت استخراج فاکتورهای مشارکت عمومی و خصوصی استفاده شده است. ارزیابی شاخص‌ها، گزارش داد که ۹۸ درصد شاخص‌ها در پیش‌بینی شکست و یا موفقیت پروژه‌ها تأثیر دارند. برای مقایسه دو روش انتخاب ویژگی از دقت دسته‌بندهای جنگل تصادفی و بیز ساده استفاده شد. نتایج پژوهش مشخص کرد که شکایات مربوط به خدمات، قالب قراردادی و تعرفه‌های متفاوت تأثیر بسیار زیادی در موفقیت و یا شکست پروژه‌های مشارکتی دارند. در بین 15 شاخص کلیدی موفقیت پروژه های مشارکتی این صنعت، 8 شاخص آن به طور مستقیم با مسائل مربوط به تامین مالی طرح ها در ارتباط میباشند و این امر بیانگر این است که همچنان دغدغه اصلی در این صنعت، تامین مالی طرح ها میباشد.</CONTENT>
					</ABSTRACT>
				</ABSTRACTS>
				<PAGES>
					<PAGE>
						<FPAGE>375</FPAGE>
						<TPAGE>396</TPAGE>
					</PAGE>
				</PAGES>
	
				<AUTHORS><AUTHOR>
						<Name>ملیحه</Name>
						<MidName></MidName>		
						<Family>اسکندری</Family>
						<NameE>Malihe</NameE>
						<MidNameE></MidNameE>		
						<FamilyE>Eskandary</FamilyE>
						<Organizations>
							<Organization>College of Management and Accounting, Allameh Tabataba’i University, Tehran, Iran.</Organization>
						</Organizations>
						<Countries>
							<Country>Iran</Country>
						</Countries>
						<EMAILS>
							<Email>eskandary@nww.ir</Email>			
						</EMAILS>
					</AUTHOR><AUTHOR>
						<Name>محمد تقی</Name>
						<MidName></MidName>		
						<Family>تقوی فرد</Family>
						<NameE>Mohammad Taghi</NameE>
						<MidNameE></MidNameE>		
						<FamilyE>Taghavifard</FamilyE>
						<Organizations>
							<Organization>College of Management and Accounting, Allameh Tabataba’i University, Tehran, Iran.</Organization>
						</Organizations>
						<Countries>
							<Country>Iran</Country>
						</Countries>
						<EMAILS>
							<Email>dr.taghavifard@gmail.com</Email>			
						</EMAILS>
					</AUTHOR><AUTHOR>
						<Name>ایمان</Name>
						<MidName></MidName>		
						<Family>رئیسی وانانی</Family>
						<NameE>Iman</NameE>
						<MidNameE></MidNameE>		
						<FamilyE>Raeesi Vanani</FamilyE>
						<Organizations>
							<Organization>College of Management and Accounting, Allameh Tabataba’i University, Tehran, Iran.</Organization>
						</Organizations>
						<Countries>
							<Country>Iran</Country>
						</Countries>
						<EMAILS>
							<Email>imanraeesi@atu.ac.ir</Email>			
						</EMAILS>
					</AUTHOR><AUTHOR>
						<Name>سروش</Name>
						<MidName></MidName>		
						<Family>قاضی نوری</Family>
						<NameE>Soroush</NameE>
						<MidNameE></MidNameE>		
						<FamilyE>Ghazi Noori</FamilyE>
						<Organizations>
							<Organization>College of Management and Accounting, Allameh Tabataba’i University, Tehran, Iran.</Organization>
						</Organizations>
						<Countries>
							<Country>Iran</Country>
						</Countries>
						<EMAILS>
							<Email>ghazinoori@atu.ac.ir</Email>			
						</EMAILS>
					</AUTHOR></AUTHORS>
				<KEYWORDS>
					<KEYWORD>
						<KeyText>مشارکت عمومی- خصوصی</KeyText>
					</KEYWORD>
					<KEYWORD>
						<KeyText>سرمایه‌گذاری</KeyText>
					</KEYWORD>
					<KEYWORD>
						<KeyText>شاخص کلیدی عملکرد</KeyText>
					</KEYWORD>
					<KEYWORD>
						<KeyText>صنعت آب و فاضلاب</KeyText>
					</KEYWORD>
					<KEYWORD>
						<KeyText>داده‌کاوی</KeyText>
					</KEYWORD></KEYWORDS>
				<REFRENCES>
				<REFRENCE>
				<REF>Abdul-Aziz, A.R., (2001). Unraveling of BOT scheme: Malaysia&#039;s Indah water konsortium. Journal of construction engineering and management, 127(6), 457-460.##Akintoye, A., (2003). Achieving best value in private finance initiative project procurement. Construction Management and Economics, 21(5), p. 461-470.##Böhl, C.G.P. (2007). Development of a knowledge based decision support system for private sector participation in water and sanitation utilities. Oldenbourg Industrieverlag, 189.##Brune, N.G., Garrett, &amp; Kogut, B. (2004). The International Monetary Fund and the global spread of privatization. IMF Staff Papers, 195-219.##Commission, E. (2003). Guidelines for successful public-private partnerships. DG Regional Policy.##Company, i. (2009). National Wastewater Finanving and investment strategy Report.##Delmon, J. (2015). Creating a Framework for Public-Private Partnership Programs.##Dorian, J.P. (2006). Central Asia: A major emerging energy player in the 21st century. Energy Policy, 34(5), 544-555##Golabchi, M., Nourzaee. (2015). Selecting the best PPP method in rail projects by using AHP methods. Journal of  Transportation Engineering, No.6##Hall, D., Lobina. E. (2005). The relative efficiency of public and private sector water. PSIRU Reports.##Han, J., Jian, P., &amp; Kamber, M. (2011). Data mining: concepts and techniques, Elsevier.##Hodge, G.A., Greve, C., &amp; Boardman, A.E. (2010). International Handbook on Public-Private Partnership. Edward Elgar Publishing##Li, B. (2005). Critical success factors for PPP/PFI projects in the UK construction industry. Construction management and economics, 23(5), 459-471.##Liu, Haoyue, MengChu, Zhou, Xiaoyu, Sean Lu. &amp; Cynthia Yao. (2018). Weighted Gini index feature selection method for imbalanced data. In 2018 IEEE 15th International Conference on Networking, Sensing and Control (ICNSC). 1-6. IEEE.##Marzouk, M.  Emad Fayez. (2018). PUBLIC PRIVATE PARTNERSHIP PROJECTS: CONCESSIONAIRE PERFORMANCE MEASUREMENT. Journal of Al Azhar University Engineering Sector##Penelope, B.J., Cowen, B. (1997). The private sector in water and sanitation–how to get started. Washington: Bank, p. 89-92.##Qiao, L. (2001). Framework for critical success factors of BOT projects in China. The Journal of Structured Finance, 7(1). p. 53-61.##Sachs, T., Tiong, R.. &amp; Qing, S. (2007). Analysis of political risks and opportunities in public private partnerships (PPP) in China and selected Asian countries: Survey results. Chinese Management Studies, 1(2). p. 126-148.##Salman, A.F., Skibniewski. M.J., &amp; Basha, I. (2007). BOT viability model for large-scale infrastructure projects. Journal of Construction Engineering and Management, 133(1), 50-63.##Savas, E.S. (2000). Privatization and public-private partnerships. Chatham House New York.##Sun, J., Wanga, R., Wanga, X., &amp; Pinga. J. (2014). Spatial cluster analysis of bursting pipes in water supply networks. Procedia Engineering , 70,1610 – 1618##Tang, L., Shen, Q., &amp; Cheng, E.W. (2010). A review of studies on public–private partnership projects in the construction industry. International Journal of Project Management, 28(7), 683-694.##Tina, R., Patil, S., &amp; Sherekar, S. (2013). Performance Analysis of Naive Bayes and J48 Classification Algorithm for Data Classification##Wei, Y. (2011).  Regulating Municipal Water Supply Concessions. p. 1-0.##Wen,Y., Huang, W., &amp; Wu, J. (2013). Water Consumption analysis System Based On data Mining, Mechanics and Materials, 241-244, 1093-1097##Yong Qiu., Ji.  Li.,  Xia, Huang., &amp; Hanchang, Shi. (2018). A Feasible Data-Driven Mining System to Optimize Wastewater Treatment Process Design and Operation##Yu, I. (2007). Comparable performance measurement system for construction companies. Journal of Management in Engineering, 23(3), 131-139.##Yuan, J. (2009). Performance objectives selection model in public-private partnership projects based on the perspective of stakeholders. Journal of Management in Engineering.##Yuan, J. (2011). Developing key performance indicators for public-private partnership projects: questionnaire survey and analysis. Journal of Management in Engineering, 28(3),. 252-264.##. Zhang, X. (2005). Critical success factors for public–private partnerships in infrastructure development. Journal of construction engineering and managemen.##</REF>
						</REFRENCE>
					</REFRENCES>
			</ARTICLE>
				<ARTICLE>
                <LANGUAGE_ID>1</LANGUAGE_ID>
				<TitleF>توسعه گردشگری غذا مبتنی بر آمیخته بازاریابی (مورد مطالعه: خراسان رضوی)</TitleF>
				<TitleE>Culinary Tourism Development Based on Marketing Mix Strategy : The Case of Khorasan Razavi Province</TitleE>
                <URL>https://ijes.shirazu.ac.ir/article_5715.html</URL>
                <DOI>10.22099/ijes.2020.33944.1582</DOI>
                <DOR></DOR>
				<ABSTRACTS>
					<ABSTRACT>
						<LANGUAGE_ID>1</LANGUAGE_ID>
						<CONTENT>Food is considered as an integral part of tourism experience, and culinary tourism is a relatively new concept in the tourism industry. Culinary tourism deals with cookery, cuisines, and food ways of a country, region, or locale as a unique and memorable activity. The present study was aimed to prioritize factors influencing culinary tourism development using marketing mix strategy in Khorasan Razavi province, Iran. This applied research was performed by descriptive–survey method. The population consisted of experts in tourism and hotel management as well as experts in food industry, cookery, and restaurant management. Using stratified random sampling, first 200 participants were selected to fill the questionnaire, in order to identify effective factors, and then, 10 experts were asked to rank these factors. Confirmatory factor analysis and Fuzzy Analytical Hierarchy Process were employed to analyze the data. Findings of the study suggested that, among the four marketing mix strategies, price-related factors with a normal weight of 0.033 ranked first, and in terms of sub criteria related to study dimensions, matching prices to product quality and branding of local food products with a weight of 0.095 and 0.093, respectively were identified as the top factors influencing culinary tourism development.</CONTENT>
					</ABSTRACT>
					<ABSTRACT>
						<LANGUAGE_ID>0</LANGUAGE_ID>
						<CONTENT>غذا یک جنبه جدایی ناپذیر از تجربه گردشگری است و گردشگری غذا شاخه‌ای نسبتا جدید در صنعت گردشگری است. این نوع از گردشگری، به تجربه صرف غذا یا خوردنی‌ها و سبک آشپزی کشور، منطقه یا حوزه جغرافیایی خاصی به عنوان یک فعالیت منحصر به فرد و به یاد ماندنی می‌پردازد. جهت توسعه گردشگری غذا و کسب منفعت از این حوزه بایستی شاخص‌های مورد نظر در این حوزه شناسایی شوند. هدف از این مطالعه تعیین ارجحیت عوامل موثر بر توسعه گردشگری غذا با رویکرد آمیخته بازاریابی در استان خراسان رضوی است. این پژوهش به لحاظ هدف، کاربردی است و بر اساس روشِ توصیفی-پیمایشی انجام شده است. جامعه آماری این تحقیق شامل کلیه صاحب‌ نظران حوزه گردشگری و هتلداری و همچنین متخصصین صنعت غذا، آشپزی و رستوران داری در استان خراسان رضوی هستند. با استفاده از روش تصادفی طبقاتی، تعداد 200 نفر از جامعه مذکور در مرحله اول برای شناسایی عوامل موثر، پرسشنامه‌ها را تکمیل کردند و در مرحله دوم 10 نفر از خبرگان بمنظور ارجحیت این عوامل مشخص شدند. جهت انجام تجزیه و تحلیل‌ها از دو تکنیک تحلیل عاملی تاییدی و تحلیل فرایند سلسله مراتبی فازی استفاده شد. یافته‌های پژوهش حاکی از آن است از بین 4 معیار یعنی آمیخته اصلی بازاریابی،‌ عوامل مربوط به قیمت با وزن نرمال 330/0 در اولویت اول و در زیرمعیارهای مربوط به ابعاد پژوهش، دو شاخص تناسب قیمت‌ها با کیفیت محصولات غذایی و برندسازی محصولات غذایی محلی به ترتیب با اوزان 095/0 و 093/0 به عنوان ارجح ترین عوامل موثر بر توسعه گردشگری غذا در استان خراسان رضوی مشخص شدند.</CONTENT>
					</ABSTRACT>
				</ABSTRACTS>
				<PAGES>
					<PAGE>
						<FPAGE>397</FPAGE>
						<TPAGE>419</TPAGE>
					</PAGE>
				</PAGES>
	
				<AUTHORS><AUTHOR>
						<Name>یونس</Name>
						<MidName></MidName>		
						<Family>وکیل الرعایا</Family>
						<NameE>Younos</NameE>
						<MidNameE></MidNameE>		
						<FamilyE>Vakil Alroaia</FamilyE>
						<Organizations>
							<Organization>Assistant Prof. and Chairman, Entrepreneurship and Commercialization Research Center, Department of Management, Semnan Branch, Islamic Azad University, Semnan, Iran</Organization>
						</Organizations>
						<Countries>
							<Country>Iran</Country>
						</Countries>
						<EMAILS>
							<Email>y.vakil@semnaniau.ac.ir</Email>			
						</EMAILS>
					</AUTHOR><AUTHOR>
						<Name>زهرا</Name>
						<MidName></MidName>		
						<Family>ذوالفقاری</Family>
						<NameE>Zahra</NameE>
						<MidNameE></MidNameE>		
						<FamilyE>Zolfaghari</FamilyE>
						<Organizations>
							<Organization>MSc in Tourism Management, Faculty of Tourism, Semnan University , Semnan, Iran</Organization>
						</Organizations>
						<Countries>
							<Country>Iran</Country>
						</Countries>
						<EMAILS>
							<Email>zahra.zo1991@gmail.com</Email>			
						</EMAILS>
					</AUTHOR><AUTHOR>
						<Name>محمد رضا</Name>
						<MidName></MidName>		
						<Family>ستوده</Family>
						<NameE>Mohammad Reza</NameE>
						<MidNameE></MidNameE>		
						<FamilyE>Sotoudeh</FamilyE>
						<Organizations>
							<Organization>Faculty of Economics &amp;amp; Management, University of Semnan, Semnan, Iran</Organization>
						</Organizations>
						<Countries>
							<Country>Iran</Country>
						</Countries>
						<EMAILS>
							<Email>mrsotoudeh2015@gmail.com</Email>			
						</EMAILS>
					</AUTHOR></AUTHORS>
				<KEYWORDS>
					<KEYWORD>
						<KeyText>&quot;گردشگری غذا&quot;</KeyText>
					</KEYWORD>
					<KEYWORD>
						<KeyText>&quot;توسعه گردشگری&quot;</KeyText>
					</KEYWORD>
					<KEYWORD>
						<KeyText>‌&quot; آمیخته بازاریابی گردشگری&quot;</KeyText>
					</KEYWORD>
					<KEYWORD>
						<KeyText>&quot;خراسان رضوی&quot;</KeyText>
					</KEYWORD></KEYWORDS>
				<REFRENCES>
				<REFRENCE>
				<REF>Bertella, G. and Vidmar, B. (2019), “Learning to face global food challenges through tourism experiences”, Journal of Tourism Futures, Vol. 5 No. 2, pp. 168-178.##Boniface, P. (2003) Tasting tourism: Travelling for food and drink. Aldershot: Ashgate. Bramwell, B. (1994). Rural tourism and sustainable rural tourism. Journal of Sustainable Tourism 2 (1 &amp; 2), 1–6.##Booms, Bernard H. and Mary Jo Biter (1981), &quot;Marketing strategies and organization structures for service firms,&quot; In Marketing of Services, James H. Donnelly and William R. George, eds. Chicago: American Marketing Association, 47-52.##Boomsma, A. (1982).The robustness of LISREL against small sample sizes in factor analysis models. In K. G. Jöreskog &amp; H. Wold (Eds.), Systems under Indirect Observation: Causality, Structure, Prediction (Part 1, pp. 149–173). Amsterdam: North-Holland.##Du Rand GE, Heath E (2006). Towards a framework for food tourism as an element of destination marketing. Current Issues In Tourism 9:206– 34.##Farajzadeh, Z., Esmaeili, A. (2017). The welfare effects of rising imported food prices in Iran. Iranian Journal of Economic Studies, 5(2), 189-208. Doi: 10.22099/ijes.2017.23795.1297##Global Report on Food Tourism. (2015).World Tourism Organization UNWTO.##Habibi, A.; Izadyar, S. &amp; Sarafrazi, a (2015). Fuzzy Multi-criteria Decision Making, Rasht, Katibeh GilPublisher. (In Persian)##Halkier, H. (2012). Local food for International tourists explorative studies of perceptions of networking and interactions in two holidays home destinations in North Jutland, Denmark.##Hall, C.M. and Sharples, E. (2003).The consumption of experiences or the experience of consumption? An introduction to the tourism of taste. In C.M. Hall, E. Sharples, R. Mitchell, N. Macionis and B. Cambourne (eds) Food Tourism Around The World: Development, Management and Markets (pp. 1–24). Oxford: Butterworth Heinemann##Hashimoto, A., &amp; Telfer, D. (2003). Positioning an emerging wine route in the Niagara Region: Understanding the wine tourism market and its implications for marketing. Journal of Travel and Tourism Marketing, 14(3/4), 61–76.##Henderson, J. C. (2009). Food tourism reviewed. British Food Journal, Vol. 11 No. 4, pp. 317-326##Horng, J.-S. And C.-T. Tsai (2010) ‘Government Websites for Promoting East Asian Culinary Tourism: A Cross-National Analysis’, Tourism Management 31(1): 74–85.##Izadi, H. (2015). Culinary Tourism, an Opportunity for Sustainable Rural Development in Iran. Rural Studies, 6(1) 65-96.   ##Jazayeriyan, N. (2012). Factors Affecting Demands for Foods and Beverages of Shiraz According to the European Tourists (A Case Study: European Tourists Visiting Shiraz) . Master&#039;s Thesis. Supervisor: Hamid Zarghami Boroojeni, Faculty of Management and Accounting. Allameh Tabataba&#039;i University.##Karim, S. (2006). Culinary tourism as a destination attraction: An empirical examination of the destination’s food image and information sources. PhD Thesis. Oklahoma State University, Oklahoma##Kivela, J., Crotts, J.C. (2005). Gastronomy Tourism. Journal of Culinary Science &amp; Tourism, 4 (2-3), 39-55##Kotler, P., Bowen, J. T., &amp; Makens, J. C. (2014). Marketing for hospitality and tourism (6th Ed.). Upper Saddle River, NJ: Pearson.##Lee I, Arcodia C. 2011. The role of regional food festivals for destination branding. International Journal of Tourism Research 13(4): 355–367.##Lee, A. H. J., (2012). The creative food economy and culinary tourism through place branding: ‘terroir’ into a creative and environmentally friendly taste of a place. PhD. University of Waterloo, Ontario, Canada.##Lin, Yi-Chin (2006), “Food images in destination marketing”, Purdue University, ProQuest Dissertations Publishing.##Long, L. M. (Ed.). (2004). Culinary tourism. Lexington: University Press of Kentucky.##López‐Guzmán, T., Rodríguez‐García, J., Sánchez‐Cañizares, S., &amp; Luján‐García, M. J. (2011). The development of wine tourism in Spain. International Journal of Wine Business Research. 23(4), 374-386.##McCarthy, E.J. (1960). Basic marketing: A managerial approach. Homewood, IL: Richard D. Irwin.##Middleton, V.T.C. and R. Hawkins (1998), Sustainable tourism: A marketing perspective, Oxford, UK: Butterworth-Heineman.##Minihan, C. (2014). Exploring the culinary tourism experience: an investigation of the supply sector for brewery and restaurant owners. Yayımlanmamış PhD Thesis, Colorado State University, Colorado.##Molayi Hashtjin, N., Rahnamayi, M.T., and Rahnamayi, S. (2016). Culinary Tourism and its Role in Attracting Tourists (A Case Study: Talesh County). National Conference About Talesh. Rasht. Cultural Heritage, Handicrafts and Tourism Organization of Guilan.##Morrison, A. (2010), Hospitality and Travel Marketing, Fourth Edition. Albany, NY: Delmar Cengage Learning.##Mortazavi, Sh. (2013). The Role of Demographic Factors in Culinary Tourism. Master&#039;s Thesis. Faculty of Management and Accounting. Allameh Tabataba&#039;i University. Tehran##NajafiNasab, M., Agheli, L., Andrade, M., SADEGHI, H., Faraji Dizaji, S. (2018). Determinants of Medical Tourism Expansion in Iran: Structural Equation Modeling Approach. Iranian Journal of Economic Studies, 7(2), 169-189. Doi: 10.22099/ijes.2018.30739.1485##Ngoc, A.  (2013). Promotion of Food Tourism on Websites of Tourist Offices. Bachelor&#039;s Thesis. University of Applied Science.##Nunnally, J. C.: 1978, Psychometric Theory, 2nd ed. (McGraw-Hill, New York).##Office of Travel and Tourism Industries (OTTI) ، (2003). Travel and Tourism Industries: A year in Review, U.S; Department of Commerce, International Trade Administration##Organisation for Economic Co-operation and Development (2012), Food and the Tourism Experience. The OECD - Korea Workshop, OECD Studies on Tourism, OECD publishing##Pomering, A., Johnson, L. &amp; Noble, G. (2010). Conceptualizing a contemporary marketing mix for sustainable tourism marketing. Proceedings of the 20th Annual Conference of The Council For Australian University Tourism and Hospitality Education (CAUTHE) (pp. 1-15). Hobart: School of Management, University of Tasmania.##Redl, S. (2013). Culinary Tourism for Young Adult Travelers and its connection to Destination Management. Bachelor Thesis. Business Administration Tourism and Hospitality Management.##Saaty ,T.L. (1980). The Analytic Hierarchy Process. McGraw-Hill. New York. Agricultural Economics Review, 70.##Saaty, T.L. (1992) ‘How to make a decision: the analytic hierarchy processes, European Journal of Operational Research, Vol. 48(1), pp.9–26.##Sahin, G.G (2015). Gastronomy Tourism as an Alternative Tourism: An Assessment on the Gastronomy Tourism Potential of Turkey, International Journal of Academic Research in Business and Social Sciences, 5(9), 79-105.##Shaterian, Mohsen, Mousavi, Seyed Hojjat, Kiani Selmi, Sedigheh, Zarei, Mina (2018). Modeling the Factors Shaping Culinary Tourism and Its Impact on the Loyalty of Tourists (case study: Tourists in Esfahan City), Journal of Research And Urban Planning, 9 (32), 53-66.##Shenoy, S. S. (2005). Food Tourism and the Culinary Tourist. Unpublished PhD thesis. USA: Clemson University.##Smith, S. L. J., &amp; Xiao, H. (2008). Culinary tourism supply chains: a preliminary examination. Journal of Travel Research 46(3), 289-299.##Sorour, Rahim, Akbari, Majid and Darvish, Behrouz (2017). Designing a Model for Food Tourism Development of Iran with the viewpoint of the Interpretive Structural Modelling, International Journal of Geography-Iran, 15 (53), 73-90.##Surenkok, A., Baggio, R., &amp; Corigliano, M. A. (2010). Gastronomy and tourism in Turkey: The role of ICTs. In ENTER (pp. 567-578).##symons M (1999) Gastronomic authenticity and sense of place. In: Molloy J. and Davies J. (eds) Proceedings of the 9th Australian Tourism and Hospitality Research Conference, Council for Australian University Tourism and Hospitality Education – Part Two, pp. 333–340, Canberra, Australia: Bureau of Tourism Research.##Vedadhir, Abu Ali, Omidvar, Nasrin, Rafi Far, Jalaleddin, Javan Mahjoob Doost, Sara. (2015). The Ethnographic Study of Local Food in Fooman County Study: A research on Nutrition and Food Anthropology. Journal of Iranian Social Studies, 9 (4), 106-138.##Wolf, E. (2002). Culinary tourism: A tasty economic proposition. Portland: International Culinary Tourism Taskforce.##Yo Chen.Y (2013). The Role of Food in Tourists’ Experiences: A Case Study of Taiwan, (Ph.D.) thesis, University of Waterloo, Recreation and Leisure Studies.##Yurtseven, R. and Kaya, O. (2011), “Local food in local menus: the case of Gökçeada”, Tourismos: An International Multidisciplinary Journal of Tourism, Vol. 6 No. 2, pp. 263-275.##Zamani Kasmani, S. (2015). The Role of Local Cuisines in the Development of Tourism with an Emphasis on Marketing. Master&#039;s thesis. Supervisor: Mohammad Najjar Zadeh Advisor: Leyla Vosoogh. Faculty of Tourism. University of Semnan.##</REF>
						</REFRENCE>
					</REFRENCES>
			</ARTICLE>
				<ARTICLE>
                <LANGUAGE_ID>1</LANGUAGE_ID>
				<TitleF>اندازه دولت و نابرابری شادی: رویکرد پانل آستانه ای</TitleF>
				<TitleE>Government Size and Happiness Inequality: A Threshold Panel Approach</TitleE>
                <URL>https://ijes.shirazu.ac.ir/article_5551.html</URL>
                <DOI>10.22099/ijes.2020.35323.1621</DOI>
                <DOR></DOR>
				<ABSTRACTS>
					<ABSTRACT>
						<LANGUAGE_ID>1</LANGUAGE_ID>
						<CONTENT>The purpose of this study is to examine the relationship between government size and happiness inequality in a number of developing and developed countries during the period of 2002-2015 by threshold panel approach. To obtain robust results, we have applied the model in the Iran’s economy by time series data during the period of 1974-2016. The results in developing countries showed that in small governments, the government size had a diminutive effect on the inequality of happiness, but by passing the threshold and increasing the government&#039;s involvement in the economy, this variable had no significant effect on the happiness inequality. The same time series results were obtained for Iran’s economy, which has a small government size. In this group, the government size has a significant negative impact on happiness inequality and after that, it has a significant positive impact on happiness inequality. Developed countries showed completely different results, whereby the size of the government had a significant positive impact on inequality in small governments but in large governments, it did not have a significant effect on the inequality of happiness.</CONTENT>
					</ABSTRACT>
					<ABSTRACT>
						<LANGUAGE_ID>0</LANGUAGE_ID>
						<CONTENT>هدف از این مطالعه بررسی رابطه بین اندازه دولت و نابرابری شادی در تعدادی از کشورهای در حال توسعه و توسعه یافته در دوره 2015-2002 با رویکرد پانل آستانه است. همچنین ، برای بررسی بیشتر و به دست آوردن نتایج مستحکم، ما از مدل سری زمانی آستانه‌ای برای اقتصاد ایران در دوره زمانی 1395-1353 استفاده کرده ایم. نتایج در کشورهای در حال توسعه نشان داد که در رژیم کوچک دولت ، اندازه دولت تأثیر کاهشی بر نابرابری شادی می گذارد ، اما با عبور از آستانه و افزایش دخالت دولت در اقتصاد ، این متغیر تأثیر معنی داری بر نابرابری شادی ندارد . نتایج مشابهی برای سری زمانی اقتصاد ایران نیز بدست آمده است بطوریکه در رژیم دولت کوچک، اندازه دولت تأثیر منفی و معنی داری بر نابرابری شادی داشته و پس از آن ، تأثیر مثبت و معنی داری بر نابرابری شادی برجای گذاشته است. کشورهای توسعه یافته نتایج کاملاً متفاوتی را نشان دادند که به موجب آن اندازه دولت تأثیر مثبت و معنی داری بر نابرابری شادی در رژیم دولت کوچک داشته اما در رژیم دولت بزرگ، تأثیر معنی داری بر نابرابری شادی نداشته است.</CONTENT>
					</ABSTRACT>
				</ABSTRACTS>
				<PAGES>
					<PAGE>
						<FPAGE>421</FPAGE>
						<TPAGE>439</TPAGE>
					</PAGE>
				</PAGES>
	
				<AUTHORS><AUTHOR>
						<Name>ابراهیم</Name>
						<MidName></MidName>		
						<Family>زارع</Family>
						<NameE>Ebrahim</NameE>
						<MidNameE></MidNameE>		
						<FamilyE>Zare</FamilyE>
						<Organizations>
							<Organization>Department of Economics, College of Economics and Management, Shiraz Branch, Islamic Azad University, Shiraz, Iran.</Organization>
						</Organizations>
						<Countries>
							<Country>Iran</Country>
						</Countries>
						<EMAILS>
							<Email>ebrahimzare.1398@gmail.com</Email>			
						</EMAILS>
					</AUTHOR><AUTHOR>
						<Name>مهرزاد</Name>
						<MidName></MidName>		
						<Family>ابراهیمی</Family>
						<NameE>Mehrzad</NameE>
						<MidNameE></MidNameE>		
						<FamilyE>Ebrahimi</FamilyE>
						<Organizations>
							<Organization>Department of Economics, College of Economics and Management, Shiraz Branch, Islamic Azad University, Shiraz, Iran.</Organization>
						</Organizations>
						<Countries>
							<Country>Iran</Country>
						</Countries>
						<EMAILS>
							<Email>mhrzad@yahoo.com</Email>			
						</EMAILS>
					</AUTHOR><AUTHOR>
						<Name>عباس</Name>
						<MidName></MidName>		
						<Family>امینی فرد</Family>
						<NameE>Abbas</NameE>
						<MidNameE></MidNameE>		
						<FamilyE>Aminifard</FamilyE>
						<Organizations>
							<Organization>Department of Economics, College of Economics and Management, Shiraz Branch, Islamic Azad University, Shiraz, Iran.</Organization>
						</Organizations>
						<Countries>
							<Country>Iran</Country>
						</Countries>
						<EMAILS>
							<Email>aaminifard@yahoo.com</Email>			
						</EMAILS>
					</AUTHOR><AUTHOR>
						<Name>هاشم</Name>
						<MidName></MidName>		
						<Family>زارع</Family>
						<NameE>Hashem</NameE>
						<MidNameE></MidNameE>		
						<FamilyE>Zare</FamilyE>
						<Organizations>
							<Organization>Department of Economics, College of Economics and Management, Shiraz Branch, Islamic Azad University, Shiraz, Iran.</Organization>
						</Organizations>
						<Countries>
							<Country>Iran</Country>
						</Countries>
						<EMAILS>
							<Email>hashem.zare@gmail.com</Email>			
						</EMAILS>
					</AUTHOR></AUTHORS>
				<KEYWORDS>
					<KEYWORD>
						<KeyText>اندازه دولت</KeyText>
					</KEYWORD>
					<KEYWORD>
						<KeyText>نابرابری شادی</KeyText>
					</KEYWORD>
					<KEYWORD>
						<KeyText>کشورهای در حال توسعه</KeyText>
					</KEYWORD>
					<KEYWORD>
						<KeyText>کشورهای توسعه یافته</KeyText>
					</KEYWORD>
					<KEYWORD>
						<KeyText>رویکرد آستانه ای</KeyText>
					</KEYWORD></KEYWORDS>
				<REFRENCES>
				<REFRENCE>
				<REF>Abounoori, E., &amp; Nademi, Y. (2010). Government Size Threshold and Economic Growth in Iran.‏ International Journal of Business and Development Studies, 2(1), 95-108.##Afonso, A., Schuknecht, L., &amp; Tanzi, V. (2010). Income Distribution Determinants and Public Spending Efficiency. The Journal of Economic Inequality, 8(3), 367-389.##Alois, P. (2014). Income Inequality and Happiness: Is There a Relationship?. Working Paper. https://ideas.repec.org/p/lis/liswps/614.html.##Armey, R. K. (1995). The Freedom Revolution: The New Republican House Majority Leader Tells Why Big Government Failed, Why Freedom Works, and How We Will Rebuild America. Regnery Publishing.##Barro, R. J. (1990). Government Spending in a Simple Model of Endogenous Growth. Journal of Political Economy, 98(5, Part 2), S103-S125.##Buchanan, W., &amp; Cantril, H. (1953). How Nations See Each Other: A study in Public Opinion. Greenwood Press.##Chin-Hon-Foei, S. (1989). Life Satisfaction in the EC Countries, 1975-1984, In Veenhoven, R., Ed.: Did the Crisis Really Hurt?. Universitaire Pers Rotterdam, 1989, Netherlands, 24 – 43.##Clark, A. E., Flèche, S., &amp; Senik, C. (2016). Economic Growth Evens Out Happiness: Evidence from Six Surveys. Review of Income and Wealth, 62(3), 405-419.##Cummins, R.A. (2003). Normative Life-Satisfaction: Measurement Issues and a Homeostatic Model. Social Indicators Research, 2003, Vol. 64, 225 – 256.##Easterlin, R. A. (1974). Does economic growth improve the human lot? Some empirical evidence. In Nations and households in economic growth (pp. 89-125). Academic Press.##Easterlin, R. A. (1995). Will Raising the Incomes of All Increase the Happiness of All?. Journal of Economic Behavior &amp; Organization, 27(1), 35-47.##Fahey, T. &amp; Smyth, E. (2003). What Can Subjective Indicators Tell Us about Inequalities in Welfare? Evidence from 33 European Societies. Working Paper, Dublin, Economic and Social Research Institute, 2003.##Fattahi, Sh, Karami, J, and Parniyan, T. (2019). Considering the Relationship between the Average of Happiness and Inequality of Happiness in MENA Countries, National Conference of Economics, Development Management and Entrepreneurship with the Approach of Protecting Iranian Goods, Sistan &amp; Baluchestan Industrial Management Organization, https://www.civilica.com/Paper-EDME01-EDME01_098.html (In Persian). ##Graafland, J., &amp; Lous, B. (2019). Income inequality, life satisfaction inequality and trust: a cross country panel analysis. Journal of Happiness Studies, 20(6), 1717-1737.##Hansen, B. E. (1992). The Likelihood Ratio Test under Nonstandard Conditions: Testing the Markov Switching Model of GNP. Journal of Applied Econometrics, 7(1), 61-82.##Hansen, B. E. (1999). Threshold Effects in Non-Dynamic Panels: Estimation, Testing, and Inference. Journal of Econometrics, 93(2), 345-368.‏##Jalili Kamju, S., Nademi, Y. (2019). The relationship between income inequality and happiness inequality: A case study of Iran. The Journal of Economic Policy, 11(21), 77-101 (In Persian).##Monsef, A., Moalemi, M., Biyabani, J., Nejati, M., Taherizadeh, J. (2019). Investigating Economic Factors Affecting Happiness in Selected Countries: Panel Threshold Regression Approach. Quarterly Journal of Economic Growth and Development Research, 9(36), 15-34.##Nademi Y, Hasanvand D. (2015). The Threshold Effects of Government Size on Income Inequality in Iran. The Journal of Planning and Budgeting, 20 (3), 125-143, (In Persian).##Nademi, Y. (2018). The resource curse and income inequality in Iran. Quality &amp; Quantity, 52(3), 1159-1172.##Nademi, Y., Jalili Kamjoo, S. (2018). Evaluating the Effect of Absolute and Relative Poverty on Happiness Inequality in Iran. Economic Modeling, 12(41), 1-26, (In Persian).##Ott, J. (2005). Level and Inequality of Happiness in Nations: Does Greater Happiness of a Greater Number Imply Greater Inequality in Happiness?. Journal of Happiness Studies, 6(4), 397-420.##Ott, J. C. (2011). Government and happiness in 130 nations: Good governance fosters higher level and more equality of happiness. Social indicators research, 102(1), 3-22.##Oishi, S., Kesebir, S., &amp; Diener, E. (2011). Income inequality and happiness. Psychological science, 22(9), 1095-1100.##Sieroń, A. (2017). Inflation and income inequality. Prague Economic Papers, 26(6), 633-645.##Sylwester, K. (2002). Can Education Expenditures Reduce Income Inequality?. Economics of Education Review, 21(1), 43-52.##Veenhoven, R. &amp; Ehrhardt, J. (1995). The Cross-National Pattern of Happiness: A Test of Predictions Implied in Three Theories of Happiness. Social Indicators Research, 1995, Vol. 34, 33 – 68.##Veenhoven, R. &amp; Kalmijn, W.M. (2005). Inequality-Adjusted Happiness in Nations. Journal of Happiness Studies, vol. 6, 421-455.##Veenhoven, R. (1990). Inequality in Happiness, Inequality in Countries Compared Between Countries, Paper in the 12th Work Congress of Sociology, Madrid, Spain.##Veenhoven, R. (2000). Well-Being in the Welfare State: Level Not Higher, Distribution Not More Equitable. Journal of Comparative Policy Analysis: Research and Practice, 2000, Vol. 2, 91 – 125.##Veenhoven, R. (2002). Die Rückkehr der Ungleichheit in die moderne Gesellschaft? Die Verteilung der Lebenszufriedenheit in den EU-Ländern von 1973 bis 1996 (Return of Inequality in Modern Society? Dispersion of Life-Satisfaction in EU-nations 1973 -1996).##Veenhoven, R. (2004). World Database of Happiness: Continuous Register of Research on Subjective Enjoyment of Life. Available at https://personal.eur.nl/veenhoven/Pub2000s/2004f-full.pdf.##Veenhoven, R. (2005). Inequality of Happiness in Nations, Introduction to this Special Issue. Journal of Happiness Studies, vol.6, 351-355.##Veenhoven, R. (2005). Return of Inequality in Modern Society? Test by Dispersion of Life-Satisfaction across Time and Nations. Journal of Happiness Studies, vol. 6, 457-487.##Di Tella, R., MacCulloch, R. J., &amp; Oswald, A. J. (2001). Preferences over inflation and unemployment: Evidence from surveys of happiness. American economic review, 91(1), 335-341.##Dao, T. K. (2017). Government Expenditure and Happiness: Direct and Indirect Effects. Master of Arts thesis in Development Studies, International Institute of Social Studies, The Hague, The Netherlands##</REF>
						</REFRENCE>
					</REFRENCES>
			</ARTICLE>
				<ARTICLE>
                <LANGUAGE_ID>1</LANGUAGE_ID>
				<TitleF>رژیم نرخ ارز شناور مدیریت شده و ارزیابی سیاستی برای  ایران</TitleF>
				<TitleE>Managed Floating Exchange Rate Regime and Policy Evaluation for Iran</TitleE>
                <URL>https://ijes.shirazu.ac.ir/article_5546.html</URL>
                <DOI>10.22099/ijes.2020.33990.1583</DOI>
                <DOR></DOR>
				<ABSTRACTS>
					<ABSTRACT>
						<LANGUAGE_ID>1</LANGUAGE_ID>
						<CONTENT>Exchange rate fluctuations have a major role on business cycles. Due to this degree of importance, this paper analyzed the effects of managed floating exchange rate regime on dynamics of some macroeconomics variables of Iran. To do this, we design a dynamic stochastic general equilibrium (DSGE) model for Iran and then using quarterly data over 1989-2016 and Bayesian method, the structural parameters of the model have been estimated. By employing conditional forecasting, our results show that managed floating exchange rate regime, compared with fixed regime, brings more economic growth and at the same time, less speculative activities in money and exchange markets. Moreover, the results from variance decomposition reveal that exchange rate shocks are the most important shock in deriving business cycles and fluctuations of other variables. Based on these finding, we propose policymaker to choose managed floating exchange rate regime as its policy rule.    </CONTENT>
					</ABSTRACT>
					<ABSTRACT>
						<LANGUAGE_ID>0</LANGUAGE_ID>
						<CONTENT>پویایی های نرخ ارز دارای یک نقش مهم در استخراج سیکل های تجاری کشورهای در حال توسعه است. به دلیل این درجه اهمیت، این مقاله اثرات رژیم نرخ ارز شناور مدیریت شده بر پویایی های برخی متغیرهای کلان ایران را بررسی می کند. بدین منظور، یک الگوی تعادل عمومی پویای تصادفی برای اقتصاد ایران طراحی و برآورد شده و سپس با استفاده از داده های فصلی دوره 1395 - 1368 و روش بیزین، پارامترهای ساختاری مدل برآورد شده است. با بکارگیری پیش بینی شرطی، نتایج مدل نشان می دهد که رژیم نرخ ارز شناور مدیریت شده، در مقایسه با رژیم نرخ ارز ثابت، رشد اقتصادی بیشتری به همراه دارد و همزمان، فعالیت های سوداگری کمتری در بازارهای ارز و پول به همراه دارد. همچنین، نتایج حاصل از تجزیه واریانس آشکار می کند که شوک های نرخ ارز مهمترین شوک در استخراح سیکل های تجاری و نوسان های سایر متغیرها است. بر اساس این یافته ها، پیشنهاد مطالعه به سیاست گذاران این است که رژیک نرخ ارز شناور مدیریت شده را به عنوان قاعده سیاستی خود انتخاب کنند.</CONTENT>
					</ABSTRACT>
				</ABSTRACTS>
				<PAGES>
					<PAGE>
						<FPAGE>441</FPAGE>
						<TPAGE>462</TPAGE>
					</PAGE>
				</PAGES>
	
				<AUTHORS><AUTHOR>
						<Name>کیومرث</Name>
						<MidName></MidName>		
						<Family>سهیلی</Family>
						<NameE>Kiomars</NameE>
						<MidNameE></MidNameE>		
						<FamilyE>Sohaili</FamilyE>
						<Organizations>
							<Organization>Department of Economics, , Razi University, Kermanshah, Iran.</Organization>
						</Organizations>
						<Countries>
							<Country>Iran</Country>
						</Countries>
						<EMAILS>
							<Email>ksohaili@razi.ac.ir</Email>			
						</EMAILS>
					</AUTHOR><AUTHOR>
						<Name>علی رضا</Name>
						<MidName></MidName>		
						<Family>عرفانی</Family>
						<NameE>Alireza</NameE>
						<MidNameE></MidNameE>		
						<FamilyE>Erfani</FamilyE>
						<Organizations>
							<Organization>Department of Economics, ,Semnan University, Semnan, Iran.</Organization>
						</Organizations>
						<Countries>
							<Country>Iran</Country>
						</Countries>
						<EMAILS>
							<Email>aerfani@semnan.ac.ir</Email>			
						</EMAILS>
					</AUTHOR><AUTHOR>
						<Name>یوسف</Name>
						<MidName></MidName>		
						<Family>حیاتی</Family>
						<NameE>Yousef</NameE>
						<MidNameE></MidNameE>		
						<FamilyE>Hayati</FamilyE>
						<Organizations>
							<Organization>Department of Economics, ,Semnan University, Semnan, Iran.</Organization>
						</Organizations>
						<Countries>
							<Country>Iran</Country>
						</Countries>
						<EMAILS>
							<Email>hayati.yousef@yahoo.com</Email>			
						</EMAILS>
					</AUTHOR></AUTHORS>
				<KEYWORDS>
					<KEYWORD>
						<KeyText>رژیم نرخ ارز</KeyText>
					</KEYWORD>
					<KEYWORD>
						<KeyText>مدلهای DSGE</KeyText>
					</KEYWORD>
					<KEYWORD>
						<KeyText>ارزیابی سیاستی</KeyText>
					</KEYWORD>
					<KEYWORD>
						<KeyText>پیش بینی شرطی</KeyText>
					</KEYWORD></KEYWORDS>
				<REFRENCES>
				<REFRENCE>
				<REF>Adolfson, M., &amp; Laseen, S., &amp; Linde, J., &amp; Svensson, L. (2014), Monetary Policy Trade- offs in an Estimated Open Economy DSGE Model, Journal of Economic Dynamics and Control, Vol. 42, 33- 49.##Agenor, R., &amp; Prasad, E., and McDermott, C. (1999), Macroeconomic Fluctuations in Developing Countries; Some Stylized Facts, IMF Working Papers 99/35.##Batini, N, and Gabriel, V, and Levine, P, and Pearlman, J. (2010). “A Floating versus managed exchange rate regime in a DSGE model of India,NIPE Working Papers, 31/2010, NIPE - Universidade do Minho.##Canzoneri, M., &amp; Cumby, R., &amp; Diba, B. (2001), Is the Price Level Determined by the Needs of Fiscal Solvency?, American Economic Review, Vol. 91, No. 5, 1221 – 1238.##Curdia, V., &amp; Woodford, M. (2008), Credit Spreads and Monetary Policy, NBER Working Paper, 15289.##Dilmaghani, A., and Tehranchian, A. (2015), The Impact of Monetary Policies on the Exchange Rate: A GMM Approach, Iranian Economic Review (IER), vol. 19(2), 177-191.##Dueker, M., and Fischer, A. (1996), Inflation Targeting in a Small Open Economy: Empirical Results for Switzerland, Journal of Monetary Economics, 37, 89 – 103. ##Fuhrer, Jeffery. (2000), Habit Formation in Consumption and Its Implications for Monetary Policy Models, American Economic Review, Vol. 90, No. 3, 367 – 390.##Galí, Jordi., &amp; Tommaso, Monacelli. (2005), Monetary Policy and Exchange Rate Volatility in a Small Open Economy, Review of Economic Studies, Vol. 72(3), 707-734.##Gali, Jordi., &amp; Gertler, Mark. (1999), Inflation Dynamics: A Structural Econometric Analysis, Journal of Monetary Economics, Vol. 44, Issue 2, 195 – 222.##Kydland, Finn., &amp; Prescott, Edward. (1977), Rules rather than Discretion: The Inconsistency of Optimal Plans, Journal of Political Economy, Vol. 85, Issue 3, 473 – 91.##Lawrence, C., &amp; Martin, E., &amp; Evans, C. (2005), Nominal Rigidities and the Dynamic Effects of a Shock to Monetary Policy, Journal of Political Economy, vol. 113(1), 1-45.##Miah, J. (2010), Conditional Forecasts in DSGE Models, Norges Bank Working Paper, 2010/07.##Neumeyer, P., &amp; Perri, F. (2005), Business Cycles in Emerging Economies: The Role of Interest Rates, NBER Working paper,10387.##Salavitabar, S., &amp; Jalali-Naeini, A. (2014), Analyzing Exchange Rates Regimes in an Open Small Economy, Budget and Planning Journal, No. 125. ##Tavakolian, H., &amp; Sarem, M. (2017), DSGE Model in Dynare Software, Tehran, MBRI Publication.##Taylor, John. (1993), Discretion versus Policy Rules in Practice, Carnegie – Rochester Conference Series on Public Policy, Vol 39, 195-214.##Uhlig, H. (1999), A Toolkit for Analyzing Non-linear Difference Equations, Memo, Tilberg University.##Walsh, Carl. (2010), Monetary Theory and Policy. Massachusetts, MIT Press, Third Edition. ## Yazdani, M., &amp; Gheshlaghi, S. (2016), Analyzing the Effects of Exchange Rates Shocks on the Inflation in Iran Economy, Iran Applied Economic Studies Journal, No. 5, 171-197. ##</REF>
						</REFRENCE>
					</REFRENCES>
			</ARTICLE>
				<ARTICLE>
                <LANGUAGE_ID>1</LANGUAGE_ID>
				<TitleF>طراحی الگوی شایستگی‌های مبتنی بر سوادهای جدید رهبری در حوزه اقتصادی - رویکرد تحلیل محتوای کیفی</TitleF>
				<TitleE>Designing a Competency Model Based on the New Leadership Literacies in the Economic Area: a Qualitative Content Analysis</TitleE>
                <URL>https://ijes.shirazu.ac.ir/article_5550.html</URL>
                <DOI>10.22099/ijes.2020.34030.1584</DOI>
                <DOR></DOR>
				<ABSTRACTS>
					<ABSTRACT>
						<LANGUAGE_ID>1</LANGUAGE_ID>
						<CONTENT>The current skills of leaders will not be enough to succeed in future. Future leaders should be equipped with new literacies. This study intend to generate the new pattern of the new leadership literacies of senior managers of economic areas.The method of research was qualitative content analysis and reference data of research included the books of Hames (2007) and Johansen (2017), which were completely studied. Unit of analysis was theme. The study findings included 184 basic themes in the top ten themes of literacy organizers: 1.’Networked Intelligence’: Adaptation through learning; 2.‘Futuring’: to cope better with complexity; 3.’Strategic Navigation’: helping to assure the long-term viability of the whole system; 4.’Deep Design’: continuous consciousness; 5.’Brand Resonance’: Viral forms of communication; 6.’Looking Backward from the Future’: Clarity; 7.’Voluntary Fear Engagement’: turning fear into something positive; 8.‘Leadership for Shape-Shifting Organizations’: liquid leadership; 9.’Being There When You’re Not There’: very skilled at choosing the best media for communicating, and 10.’Creating and Sustaining Positive Energy’: balancing their own personal energy. In the new era, administrators equipped with new literacies, would help them develop the organization, their subordinates, and respond to the environment and gain competitive advantage.</CONTENT>
					</ABSTRACT>
					<ABSTRACT>
						<LANGUAGE_ID>0</LANGUAGE_ID>
						<CONTENT>مهارت‌های فعلی رهبران برای موفقیت در آینده‌ پیش رو، کافی نخواهند بود. رهبران آینده باید مجهز به سوادهای جدید باشند. هدف این پژوهش، کشف الگوی سوادهای جدید رهبری مدیران ارشد حوزه‌های اقتصادی بود. روش پژوهش تحلیل محتوای کیفی و مرجع داده‌های پژوهش، کتاب‌های &quot;پنج سواد رهبری جهانی&quot; (هامس، 2007) و &quot;سوادهای جدید رهبری&quot; (یوهانسن، 2017) بود که به طور کامل و بر اساس واحد تحلیل مضامین، مطالعه شدند. یافته‌های پژوهش شامل 184 شایستگی‌ مبتنی بر 10 سواد رهبری می‎شد: &quot;1.هوش شبکه‌ای&quot; شامل یادگیری انطباقی و رهایی از مفروضات و باورهای نادرست؛ &quot;2.آینده‌نگری&quot; شامل تصمیم‌‌های ساختمند و سازگاری مطلوب با پیچیدگی، &quot;3. هدایت‌گری راهبردی&quot; شامل کمک به تضمین ماندگاری سیستم و پیوستگی تفکر با تصمیم‌سازی جمعی و هوشمندانه؛ &quot;4.طراحی ژرف‌اندیشانه&quot; شامل هوشیاری مستمر و تعامل در یادگیری مشارکتی، &quot;5.طنین برند&quot; شامل بهره‌برداری از سرمایه فکری مشتریان و ارتباط خودجوش و سازنده، &quot;6.نگاه به آینده و عمل در حال&quot; شامل آینده‌نگری شفاف و تبدیل تهدیدها به فرصت، &quot;7.استقبال داوطلبانه از ترس&quot; شامل تبدیل احساس ترس به احساسی مثبت و یادگیری از اشتباهات خود، &quot;8.رهبری سازمان‌هایی با شکل متغیر&quot; شامل رهبری سیال، سلسله‌مراتب منعطف، &quot;9.حضور در عین عدم حضور&quot; شامل توسعه برند شخصی و مهارت در انتخاب بهترین رسانه و &quot;10.ایجاد و حفظ انرژی مثبت&quot; شامل متعادل سازی انرژی شخصی و اجتناب از شخصیت‌های سمی. در عصر جدید تجهیز مدیران به سوادهای جدید رهبری، به آنان در توسعه و بالندگی سازمان، زیردستان و پاسخگویی به محیط و کسب مزیت رقابتی یاری می‌رساند.</CONTENT>
					</ABSTRACT>
				</ABSTRACTS>
				<PAGES>
					<PAGE>
						<FPAGE>463</FPAGE>
						<TPAGE>493</TPAGE>
					</PAGE>
				</PAGES>
	
				<AUTHORS><AUTHOR>
						<Name>مهدی</Name>
						<MidName></MidName>		
						<Family>محمدی</Family>
						<NameE>Mehdi</NameE>
						<MidNameE></MidNameE>		
						<FamilyE>Mohammadi</FamilyE>
						<Organizations>
							<Organization>Faculty of Education &amp;amp; Psychology, Shiraz University, Shiraz, Iran</Organization>
						</Organizations>
						<Countries>
							<Country>Iran</Country>
						</Countries>
						<EMAILS>
							<Email>mmohammadi48@shirazu.ac.ir</Email>			
						</EMAILS>
					</AUTHOR><AUTHOR>
						<Name>زهرا</Name>
						<MidName></MidName>		
						<Family>نورائی سالک</Family>
						<NameE>Zahra</NameE>
						<MidNameE></MidNameE>		
						<FamilyE>Nouraie Salek</FamilyE>
						<Organizations>
							<Organization>Faculty of Education &amp;amp; Psychology, Shiraz University, Shiraz, Iran</Organization>
						</Organizations>
						<Countries>
							<Country>Iran</Country>
						</Countries>
						<EMAILS>
							<Email>nouraiesalek@gmail.com</Email>			
						</EMAILS>
					</AUTHOR><AUTHOR>
						<Name>قاسم</Name>
						<MidName></MidName>		
						<Family>سلیمی</Family>
						<NameE>Ghasem</NameE>
						<MidNameE></MidNameE>		
						<FamilyE>Salimi</FamilyE>
						<Organizations>
							<Organization>Faculty of Education &amp;amp; Psychology, Shiraz University, Shiraz, Iran</Organization>
						</Organizations>
						<Countries>
							<Country>Iran</Country>
						</Countries>
						<EMAILS>
							<Email>salimi.shu@gmail.com</Email>			
						</EMAILS>
					</AUTHOR><AUTHOR>
						<Name>جعفر</Name>
						<MidName></MidName>		
						<Family>جهانی</Family>
						<NameE>Jafar</NameE>
						<MidNameE></MidNameE>		
						<FamilyE>Jahani</FamilyE>
						<Organizations>
							<Organization>Faculty of Education &amp;amp; Psychology, Shiraz University, Shiraz, Iran</Organization>
						</Organizations>
						<Countries>
							<Country>Iran</Country>
						</Countries>
						<EMAILS>
							<Email>jjahani37@gmail.com</Email>			
						</EMAILS>
					</AUTHOR></AUTHORS>
				<KEYWORDS>
					<KEYWORD>
						<KeyText>سواد</KeyText>
					</KEYWORD>
					<KEYWORD>
						<KeyText>رهبری</KeyText>
					</KEYWORD>
					<KEYWORD>
						<KeyText>شایستگی</KeyText>
					</KEYWORD>
					<KEYWORD>
						<KeyText>اقتصاد</KeyText>
					</KEYWORD>
					<KEYWORD>
						<KeyText>سوادِ بیسوادی</KeyText>
					</KEYWORD></KEYWORDS>
				<REFRENCES>
				<REFRENCE>
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A Dissertation Submitted to the Graduate Faculty of North Carolina State University in Partial Fulfillment of the Requirements for the Degree of Doctor of Education.##Collis, J., and Hussey, R. (2003). Business research: a practical guide for undergraduate and postgraduate students. (2nd Edition.). New York: Palgrave Macmillan.##Davis, L. Heather. (2012). Leadership Literacies for Professional Staff in Universities. A thesis submitted in fulfilment of the requirements for the degree of Doctor of Philosophy, Melbourne: RMIT University, School of Management.##Dull, M. (2010). Leadership and organizational culture: Sustaining dialogue between practitioners and scholars. Public Administration Review, 70, 857-66. doi: 10.1111/j.1540-6210.2010.02217.x.##Ejere, E. S. (2013). “Leadership, governance, and poverty in Nigeria.” Research on##Humanities and Social Sciences, 3(7), 126-131. Retrieved from http://www.iiste.org/Journals/index.php/RHSS/article/view/5590.##Fairhurst, G. T. (2009). Considering context in discursive leadership research. Human Relations, 62 (11), pp. 1607-1633.##Freire, P. (1970). Cultural action for freedom. Cambridge, Harvard Educational Review.##Gorman, P., T. Nelson, &amp; A. Glassman. (2004). “The Millennial generation: A strategic opportunity.” Organizational Analysis, 12(3), 255-270.##Hall, Roger David and Rowland, Caroline Ann. (2016). “Leadership development for managers in turbulent times,” Journal of Management Development, Vol. 35 Issue: 8, pp. 942-955, https://doi.org/10.1108/JMD-09-2015-0121##Hames, Richard David. (2007). The five literacies of global leadership: What authentic leaders know and you need to find out. England: Jossey-Bass: A Wiley Imprint.##Hayden, L. E. (2015). 13 Competencies of Exemplary Project Managers. Tucson, Arizona: Global network, technology service. Health Research, 15(9), 1277–1288. doi:10.1177/1049732305276687##Hsieh, H., and Shannon, S. E. (2005). Three approaches to qualitative content analysis. Qualitative Health Research, DOI: 10.1177/1049732305276687.##Johansen, Bob. (2012). Leaders Make the Future: Ten New Leadership Skills For An Uncertain World, San Francisco, California: Berrett-Koehler.##Johansen, Bob. (2017). The New Leadership Literacies: Thriving in a Future of Extreme Disruption and Distributed Everything. Oakland: Berrett-Koehler.##Kenneth p. de meuse, King Yii Tang, Kevin J. mlodzik, Guangrong dai, (2010). The World Is Flat and so are leadership Competencies, available at: https://www.kornferry.com/institute/download/download/id/17182/aid/299##Khorshidi, A. and Akrami, M. (1390Š/2012). “Managers’ Competencies, Identifying the Constructive Factors in Managers’ Competencies,” Quarterly of Law Enforcement Studies, Vol. 6, Issue 4, pp. 592-580. (in Persian).## Lopez-Cabrales, A., Valle, R., and Herrero, I. (2006), ‘The Contribution of Core Employees to Organizational Capabilities and Efficiency,’ Human Resource Management, 45, 81–109.##Manders, Kenneth. (2014). Leaders Make the Future: Ten New Leadership Skills for an Uncertain World [review] / Johansen, Bob, Journal of Applied Christian Leadership: Vol. 8: No. 1, pp. 113-116.##Mullins, J. Laurie. (2007). Management and organizational Behaviour, Prentice Hall. Pearson Education, Edinburg Gate, 8th Edition.##Nassbaum, B. (2011). Design thinking is a failed experiment: So what&#039;s next? [Blog], Fast Company Design, Vol. 2011. USA, Fast Company.##Orr, D. W. (1992). Ecological literacy: education and the transition to a postmodern world. Albany, State University of New York Press.##Rahimnia, F. and Hoshyar, V. (1392Š/2014). “Researching the aspects and components of the model for managers’ competencies in Banks: a qualitative approach”, Journal of Tomorrow’s Management, Vol. 31, pp. 90-137. (in Persian)##Rappe, C., and Zwick, T. (2007). “Developing Leadership Competence of Production unit managers,” Journal of Management Development, Vol. 26, No. 4, pp. 312-330.##Rashnavadi, A. Zare’i Matin, H., Jandaghi, Gh. and Alvani S. M. (1395Š/2017).“A Leadership Model based on Soft Power in Iran’s Higher Education”, Organizational Culture Management, Vol. 41, Issue 3, pp. 663-649. (in Persian)##Renesch, J. (2007). Leadership Literacy. Leadership Excellence (24), 20.##Rosen, R. H. (2000). Global literacies: lessons on business leadership and national cultures: a landmark study of C E Os from 28 countries. New York, Simon and Schuster.##Sangka, Khresna Bayn. (2017). A Competency Model for Operations Managers in Indonesian Third-Party Logistics (3PL) Providers, A thesis submitted in fulfilment of the requirements for the degree of  Doctor of Philosophy, School of Business IT and Logistics, College of Business, RMIT University, Melbourne, Australia.##Sensenbaugh, R. (1990). Multiplicities of Literacies in the 1990s, ERIC Clearinghouse on Reading and Communication Skills [ED 320138]. USA, ERIC.##Sharp, Laurie A., Armstrong, Alexis and Kyla Matthews. (2017). Professional Learning and Literacy Leadership: Insights from Preservice Literacy Professionals, Texas Association for Literacy Education (TALE) Yearbook, vol. 4, pp.1-7.##Shee, H. K., &amp; Pathak, R. D. (2005). Managing people and technology for enhancing competitiveness: Software industry perspective. Journal of Transnational Management, 11(1), 65-82.##Stibbe, A. 2009. The handbook of sustainability literacy: skills for a changing world. Totnes, UK, Green Books.##Teymouri Naghdeh, M. and Amin, F. (1394Š/2016). “Presenting an Implement for Assessing Empowerment and Competencies of Leadership in Higher Education”, a paper presented at the International Conference of Implements and Techniques of Management, 5th and 6th of January. (in Persian)##Torkzad, B. and Torkzad, L. (1395Š/2017). “Designing a Model for Formulating Leadership Competences Needed for Succession-Training in Tehran’s Tax Affairs Organization”, paper presented at the Second National Conference on Management Studies, Tehran, 29th of May. (in Persian)##Visagie, Jan; Linde, Herman; and Werner Havenga. (2011). Leadership Competencies for Managing Diversity,Managing Global Transitions,Vol 9, Number 3, pp. 225–247.##Wimmer, R. D., and Dommick, J. R. (2006). Mass media research: an introduction. (8t Edition.). Southbank, Victoria: Thomson Wadsworth.##</REF>
						</REFRENCE>
					</REFRENCES>
			</ARTICLE>
				<ARTICLE>
                <LANGUAGE_ID>1</LANGUAGE_ID>
				<TitleF>چکیده های فارسی</TitleF>
				<TitleE>Persian Abstracts</TitleE>
                <URL>https://ijes.shirazu.ac.ir/article_6103.html</URL>
                <DOI>10.22099/ijes.2019.6103</DOI>
                <DOR></DOR>
				<ABSTRACTS>
					<ABSTRACT>
						<LANGUAGE_ID>1</LANGUAGE_ID>
						<CONTENT></CONTENT>
					</ABSTRACT>
					<ABSTRACT>
						<LANGUAGE_ID>0</LANGUAGE_ID>
						<CONTENT>-</CONTENT>
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						<FPAGE>0</FPAGE>
						<TPAGE>0</TPAGE>
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				<AUTHORS></AUTHORS>
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				<REFRENCES>
				<REFRENCE>
				<REF></REF>
						</REFRENCE>
					</REFRENCES>
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