<?xml version="1.0" encoding="utf-8"?>
<XML>
		<JOURNAL>
<YEAR>2017</YEAR>
<VOL>6</VOL>
<NO>2</NO>
<MOSALSAL>12</MOSALSAL>
<PAGE_NO>128</PAGE_NO>
<ARTICLES>


				<ARTICLE>
                <LANGUAGE_ID>1</LANGUAGE_ID>
				<TitleF>بررسی تطبیقی ضرایب فزاینده تولید بخش‌ها در جداول داده-ستانده و ماتریس‌ حسابداری اجتماعی</TitleF>
				<TitleE>Comparative Analysis of Sectoral Multipliers of Input-Output Model and Social Accounting Matrix</TitleE>
                <URL>https://ijes.shirazu.ac.ir/article_4716.html</URL>
                <DOI>10.22099/ijes.2018.27001.1373</DOI>
                <DOR></DOR>
				<ABSTRACTS>
					<ABSTRACT>
						<LANGUAGE_ID>1</LANGUAGE_ID>
						<CONTENT>The present study is to indicate that the comparison between sectoral production multipliers of an input-output (I/O) model and a social accounting matrix (SAM) framework is almost impossible without taking into account accounting balances and theoretical considerations. Theoretically, the I/O model provides the Leontief’s production function, on the basis of which sectoral output multiplier can be derived. In a SAM, however, the combined Leontief-Keynes models dominate multipliers commonly known as accounting multiplier matrices. The inter-industry blocks of these matrices cannot be called sectoral output multipliers as in an I/O model, rather they are known as sectoral supply multipliers. Therefore, the two sectoral multipliers are of different nature and cannot be compared for assessing sectoral performance and sectoral policy analysis of the key sectors. In the light of these evidence, this important question can be posed that whether it is possible to compare sectoral multipliers of the two approaches or not? To investigate this, two databases were used, namely the conventional I/O tables and SAM. The data for both sets of tables, prepared by the Research Center of the Islamic Parliament for the year 2011, were aggregated into 21×21 sectors. The overall results indicated that sectoral output multipliers of a conventional I/O model grossly overestimated multipliers of key sectors while sectoral supply multipliers of a conventional SAM underestimated multipliers of the key sectors. To solve the problem and make sectoral multipliers of the two approaches comparable, deduction of imports has been proposed. The overall findings showed that sectoral output multipliers of a conventional I/O model were overestimated about 1.284 unit on average and sectoral supply multipliers of a conventional SAM were underestimated about 1.245 unit on average. Considering the domestic I/O model and SAM, however, it was observed that sectoral output multipliers is on an average 1.202 in domestic IOM whereas in domestic SAM sectoral output multipliers is on an average 1.237. Consequently, the two approaches were comparable in sectoral policy analysis.</CONTENT>
					</ABSTRACT>
					<ABSTRACT>
						<LANGUAGE_ID>0</LANGUAGE_ID>
						<CONTENT>مقایسه ضرایب فزاینده تولید بخش‌ها در الگوی داده-ستانده با رویکرد ماتریس حسابداری اجتماعی نشان می‌دهد که مطابق مبانی نظری بر اساس رویکرد الگوی داده-ستانده لئونتیف، ضرایب فنی داده-ستانده (پیش‌نیاز محاسبه ضرایب فزاینده تقاضا به تولید)، از تقسیم مبادلات واسطه‌ای بین بخشی به ستانده یا عرضه داخلی هر بخش حاصل می‌شود در حالی که در رویکرد ماتریس حسابداری اجتماعی بمنظور بدست آوردن ماتریس ضرایب فنی، ماتریس مبادلات واسطه‌ای بین بخشی بر عرضه کل (مجموع عرضه داخلی و واردات) تقسیم می‌گردد. این موضوع، منجر به اختلاف میان ضرایب فنی داده-ستانده و در پی آن ضرایب فزاینده تولیدی در جدول داده-ستانده و ماتریس حسابداری اجتماعی خواهد شد بطوری که نمی‌توان ضرایب فزاینده تولیدی حاصل از جداول داده-ستانده را با ضرایب فزاینده تولید بخش‌ها حاصل از ماتریس حسابداری اجتماعی مقایسه نمود. سوال اساسی آن است که چگونه می‌توان نتایج حاصل از ضرایب فزاینده تولید بخش‌ها در دو الگوی یادشده را مطابقت داد و قابلیت مقایسه آنها را با یکدیگر فراهم نمود؟ در این مطالعه از رویکرد روش‌شناسی الگوهای داده-ستانده و ماتریس حسابداری اجتماعی متعارف استفاده می‌شود. همچنین به منظور پیگیری اهداف پژوهش، از جدول داده-ستانده و ماتریس حسابداری اجتماعی سال 1390 مرکز پژوهش‌های مجلس استفاده می‌شود.</CONTENT>
					</ABSTRACT>
				</ABSTRACTS>
				<PAGES>
					<PAGE>
						<FPAGE>143</FPAGE>
						<TPAGE>158</TPAGE>
					</PAGE>
				</PAGES>
	
				<AUTHORS><AUTHOR>
						<Name>علی</Name>
						<MidName></MidName>		
						<Family>فریدزاد</Family>
						<NameE>Ali</NameE>
						<MidNameE></MidNameE>		
						<FamilyE>Faridzad</FamilyE>
						<Organizations>
							<Organization>Faculty of Economics, Allameh Tabatabae University, Tehran, Iran.</Organization>
						</Organizations>
						<Countries>
							<Country>Iran</Country>
						</Countries>
						<EMAILS>
							<Email>faridzadali@yahoo.com</Email>			
						</EMAILS>
					</AUTHOR><AUTHOR>
						<Name>علی اصغر</Name>
						<MidName></MidName>		
						<Family>بانویی</Family>
						<NameE>Ali Asghar</NameE>
						<MidNameE></MidNameE>		
						<FamilyE>Banouei</FamilyE>
						<Organizations>
							<Organization>Faculty of Economics, Allameh Tabatabaei University, Tehran, Iran.</Organization>
						</Organizations>
						<Countries>
							<Country>Iran</Country>
						</Countries>
						<EMAILS>
							<Email>banouei7@yahoo.com</Email>			
						</EMAILS>
					</AUTHOR></AUTHORS>
				<KEYWORDS>
					<KEYWORD>
						<KeyText>الگوی داده-ستانده</KeyText>
					</KEYWORD>
					<KEYWORD>
						<KeyText>ماتریس حسابداری اجتماعی</KeyText>
					</KEYWORD>
					<KEYWORD>
						<KeyText>تفکیک واردات</KeyText>
					</KEYWORD>
					<KEYWORD>
						<KeyText>ضرایب فنی</KeyText>
					</KEYWORD>
					<KEYWORD>
						<KeyText>ضرایب فزاینده</KeyText>
					</KEYWORD></KEYWORDS>
				<REFRENCES>
				<REFRENCE>
				<REF>References## Banouei, A. (1989). Planning model for Iran in input – output framework. Unpublished Ph. D. Thesis, Bombay, and University of Bombay, India.##Banouei. A.A., &amp; Mahmoudi, M. (2001). The importance of mixed income and its relation to the employment capacity of economic sectors based on semi social accounting matrix. Majale Barnamme va Boodje, 87-120.##Banouei, A. M. (2003). Economic and social analysis of agriculture, industry and service sector multipliers based on SAM. Agriculture Economics and Development, 11(41-42), 1-26.##Banouei A.A. (2011a). Evaluation of import deduction methods with emphasis of symmetric table of 2001. Economic Policy, 4(8), 31-73.##Banouei, A.A. (2011b). The impacts of reducing the production of agriculture sector on the other economic sectors based on mixed approaches with emphasis normal and special conditions. Faslaname Eghtesad Keshavarzi va Tossee, 79, 155-186.##Faridzad, A., Banouei, A.A., Momeni, F., &amp; Amadeh, H. (2012). Investigating the economic and social impacts of petroleum products supply constraints using mixed social accounting matrix. Faslnameh Tahghighate Modelsazi Eghtesadi, 10(3), 99-123.##Faridzad, A., Banouei, A.A., Momeni, F., &amp; Amadeh, H. (2014). A policy-oriented analysis on price effect of limitations on petroleum products supply in light of modified supply-driven social accounting matrix. Faslnameh Majlis &amp; Rahbord, 27(79), 153-184.##Flegg A.T., &amp; Tohmo, T. (2015). Using CHARM to adjust for cross-hauling: The case of province of Hube, China. Economic Systems Research, 27(3), 391-413.##Ghosh, S., &amp; Sengupta, S. (1984). Income distribution and the structure of production. Prometheus Books.##Khaleghi, S., Bazzazan, F., &amp; Madani, Sh. (2015). The effects of climate change on agricultural production and Iranian economy. Tahghighate Eghtesad Keshavarzi, 7(25), 113-135.##Krorenberg G.T. (2009). Construction of regional input-output tables using non-survey methods: The role of cross-hauling. International Regional Science Review, 32(1), 40-46.##Krosenberg G.T. (2012). Regional input-output models and treatment of imports in the European systems of accounts. Review of Regional Research, 32, 175-191.##Miller, R. E., &amp; Blair P. D. (2009). Input-output analysis: Foundations and extensions. Cambridge University Press.##Pasha, P., Banouei, A., &amp; Bahrami, J. (2013). Policy analysis of the role of import in evaluation of Iranian economic sectors importance. Pajooheshname Bazargani, 67, 81-100.##The Research Center of the Islamic Parliment. (2011). Input-output table of 2011. The Research Center of the Islamic Parliment.##</REF>
						</REFRENCE>
					</REFRENCES>
			</ARTICLE>
				<ARTICLE>
                <LANGUAGE_ID>1</LANGUAGE_ID>
				<TitleF>شناسایی کانال های موثر سازوکارهای انتقال پولی در ایران با استفاده از یک الگوی تعادل عمومی پویای تصادفی</TitleF>
				<TitleE>Reconnoitering the effective Channels of Monetary Transmission Mechanism in Iran Using a Dynamic Stochastic General Equilibrium Model</TitleE>
                <URL>https://ijes.shirazu.ac.ir/article_4807.html</URL>
                <DOI>10.22099/ijes.2018.28774.1439</DOI>
                <DOR></DOR>
				<ABSTRACTS>
					<ABSTRACT>
						<LANGUAGE_ID>1</LANGUAGE_ID>
						<CONTENT>The purpose of the present research is to investigate the effective channels of the monetary transmission mechanism in Iran. To do so, we devised a New Keynesian Dynamic Stochastic General Equilibrium Model. In our model, the different types of nominal rigidities are introduced beside all the related structural equations, which are extracted and linearized around a steady state point. Furthermore, to design the DSGE model, two different monetary rules—Taylor and McCallum rules—are used. In other words, the different channels of monetary mechanisms are investigated on the basis of these two rules. To estimate the two mentioned models, seasonal data for the period 1990–2015 are collected. The estimation method used in the study is the Bayesian method. According to the results obtained from variance decomposition, in the Taylor rule-based, q-Tobin, interest rate, wealth and expectation channels are the effective channels in monetary transmission mechanisms; also, in the McCallum rule-based model monetary policy, wealth and expectation channels are the effective channels in monetary transmission mechanisms. In addition, based on the simulation results in the Taylor model, increasing interest rate causes a reduction in output, consumption, investment and capital utilization rate, and in the McCallum model, a positive monetary shock can cause an increase in preceding variables, which is a result of price rigidity.</CONTENT>
					</ABSTRACT>
					<ABSTRACT>
						<LANGUAGE_ID>0</LANGUAGE_ID>
						<CONTENT>هدف از مطالعه حاضر بررسی کانال های موثر مکانیزم انتقال پولی در ایران است. بدین منظور، یک الگوی تعادل عمومی پویای تصادفی مبتنی بر ساختار کینزی جدید مورد استفاده قرار گرفته است. در این مدل، انواع مختلف چسبندگی های اسمی در معادلات لحاظ شده است به نحوی که معادلات نیز حول نقطه وضعیت پایدار استخراج و خطی شده اند. علاوه بر این، در طراحی مدل تعادل عمومی، دو قاعده پولی مختلف از نوع تیلور و مک‌کالم مورد استفاده قرار گرفته است. به عبارت دیگر، کانال‌های مختلف مکانیزم انتقال پولی تحت این دو قاعده مورد بررسی قرار گرفته اند. به منظور برآورد این دو قاعده مختلف، از داده های فصلی دوره 1394 – 1369 استفاده شده است. روش مورد استفاده در این مطالعه روش بیزین می باشد. با توجه به نتایج برآورد حاصل از تجزیه واریانس، در قاعده مبتنی بر تیلور کانال های q توبین، نرخ بهره، ثروت و انتظارات کانال های موثر در مکانیزم انتقال پولی هستند و در قاعده مبتنی بر مک کالم، کانال های سیاست پولی،ثروت و انتظارات در مکانیزم انتقال پولی موثر هستند. همچنین، بر اساس شبیه سازی قاعده تیلور، افزایش نرخ بهره باعث کاهش تولید، مصرف، سرمایه گذاری و نرخ کاربری سرمایه می شود و در مدل مک کالم، یک شوک مثبت سیاست پولی باعث افزایش در متغیرهای اشاره شده می گردد که در نتیجه چسبندگی قیمت ها می باشد.</CONTENT>
					</ABSTRACT>
				</ABSTRACTS>
				<PAGES>
					<PAGE>
						<FPAGE>159</FPAGE>
						<TPAGE>183</TPAGE>
					</PAGE>
				</PAGES>
	
				<AUTHORS><AUTHOR>
						<Name>حسین</Name>
						<MidName></MidName>		
						<Family>مرزبان</Family>
						<NameE>Hossein</NameE>
						<MidNameE></MidNameE>		
						<FamilyE>Marzban</FamilyE>
						<Organizations>
							<Organization>Department of Economics , Shiraz University Shiraz, Iran.</Organization>
						</Organizations>
						<Countries>
							<Country>Iran</Country>
						</Countries>
						<EMAILS>
							<Email>dr.marzban@gmail.com</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><AUTHOR>
						<Name>جعفر</Name>
						<MidName></MidName>		
						<Family>قادری</Family>
						<NameE>Jafar</NameE>
						<MidNameE></MidNameE>		
						<FamilyE>Ghaderi</FamilyE>
						<Organizations>
							<Organization>Department of Economics, Shiraz University Shiraz, Iran.</Organization>
						</Organizations>
						<Countries>
							<Country>Iran</Country>
						</Countries>
						<EMAILS>
							<Email>jghaderi@rose.shirazu.ac.ir</Email>			
						</EMAILS>
					</AUTHOR><AUTHOR>
						<Name>عبدالحمید</Name>
						<MidName></MidName>		
						<Family>خسروی</Family>
						<NameE>Abdulhamid</NameE>
						<MidNameE></MidNameE>		
						<FamilyE>Khosravi</FamilyE>
						<Organizations>
							<Organization>Department of Economics, Shiraz University Shiraz, Iran.</Organization>
						</Organizations>
						<Countries>
							<Country>Iran</Country>
						</Countries>
						<EMAILS>
							<Email>hamid8054@gmail.com</Email>			
						</EMAILS>
					</AUTHOR></AUTHORS>
				<KEYWORDS>
					<KEYWORD>
						<KeyText>مکانیزم انتقال پولی</KeyText>
					</KEYWORD>
					<KEYWORD>
						<KeyText>الگوی تعادل عمومی</KeyText>
					</KEYWORD>
					<KEYWORD>
						<KeyText>قواعد پولی</KeyText>
					</KEYWORD>
					<KEYWORD>
						<KeyText>کانالهای انتقال پولی</KeyText>
					</KEYWORD></KEYWORDS>
				<REFRENCES>
				<REFRENCE>
				<REF>References## Bernanki, B., &amp; Blinder, Alan. (1998). Credit, money and aggregate demand. The American Economic Review, 78(2), 435-439.##Boivin, J., &amp; Kiley, M., &amp; Mishkin, F. (2010). How Has the Monetary Transmission Mechanism Evolved Over Time? NBER Working Paper 15879.##Calvo, G. (1983). Staggered prices in a utility maximizing framework. Journal of Monetary Economics. 12(3), 983-998.##Christiano, L., Eichenbaum, M., &amp; Evans, C. (2005). Nominal rigidities and the dynamic effects of a shock to monetary policy. Journal of Political Economy, 113 (1), 1-45.##Ford, J., &amp; Santoso, A. (2003). Bank behavior and the channel of monetary policy in Japan during 1965 – 1999. The Japanese Economic Review, 54(3), 275 – 299.##Gali, J. (2007). Monetary Policy, Inflation and the Business Cycle, New Jersy, Princeton University Press.##Gerali, A., &amp; Neri, S., &amp; Luca, S. (2010). Credit and banking in a DSGE model of the Euro area. Journal of Money, Credit and Banking, 42(1), 107-141.##Koop, G. (2003). Bayesian Econometric, Chichester UK: John Wiley &amp;sons.##Komijani, A., &amp; Alinejad, F. (2012). Evaluating effectiveness of monetary transmission channels on the output and inflation rate and analyzing their relative importance in Iran economy. Budget and Planning Journal, 17(2), 39 – 64.##Kydland, F., &amp; Prescott, E. (1982). Time to build and aggregate fluctuations. Econometrica, 50(6), 1345-1370.##McCallum, B. (1999). Issues in the design of monetary policy rules. In Handbook of Macroeconomics, ed. J. B. Taylor and M. Woodford. Vol. 1C, 1483–1530. Amsterdam: North-Holland.##Mohanty, M., &amp; Turner, P. (2006). Foreign exchange reserve accumulation in emerging markets: What are the domestic implications? BIS Working Paper.##Pourahmadi, R., Hadian, E., Sadraei Javaheri, A., &amp; Shahnazi, R. (2017).Identifying the adopted monetary policy rule by the central bank of Iran. Iranian Journal of Economic Studies, 6(1), 87-107.##Skaperdas, A. (2017). How effective is monetary policy at the zero lower bound? Identification through industry heterogeneity. Finance and economics discussion series, Divisions of research &amp; statistics and monetary affairs, Federal Reserve board.##Senbet, D. (2016). Measuring the channels of monetary policy transmission: A Factor Augmented Vector Autoregressive (FAVAR) Approach. Journal of Central Banking Theory and Practice, 2, 5-40.##Shah Hosseini, S., &amp; Bahrami, J. (2016). Macroeconomic fluctuations and monetary transmission mechanism in Iran (DSGE model approach). Quarterly Economic Research, 60, 1- 48.##Shahraki, S., Sabahi, A., &amp; Mahdavi, – Adeli, M. (2015). Real exchange rate as a new monetary transmission mechanism in Iran economy: A DSGE model. Budget &amp; Planning Journal, 4, 71 – 106.##Sinelnikova, - Muryleva, E. (2017). Analysis of transmission mechanism of monetary policy of the bank of Russia in conditions of transition to inflation targeting. Working papers 041703, Russian Presidential.##Smets, F., &amp; Wouters, R. (2003). An estimated dynamic stochastic general equilibrium model of the Euro area. Journal of the European Economic Association,1(5),1123-1175.##</REF>
						</REFRENCE>
					</REFRENCES>
			</ARTICLE>
				<ARTICLE>
                <LANGUAGE_ID>1</LANGUAGE_ID>
				<TitleF>راهبرد ایران در بهره برداری از منابع مشترک نفت و گاز: رویکرد نظریه بازی</TitleF>
				<TitleE>Iran&#039;s Strategy in Utilizing Common Resources of Oil and Gas: Game Theory Approach</TitleE>
                <URL>https://ijes.shirazu.ac.ir/article_4808.html</URL>
                <DOI>10.22099/ijes.2018.28145.1423</DOI>
                <DOR></DOR>
				<ABSTRACTS>
					<ABSTRACT>
						<LANGUAGE_ID>1</LANGUAGE_ID>
						<CONTENT>Utilization management of Persian Gulf oil and gas reserves is important, because of the importance of this area owing to the fact that it comprised 60% of the proven oil reserves and 40% of the proven gas reserves of the world and it determines the world&#039;s oil and gas strategies. By using game theory, this paper seeks to achieve the best strategy that Iran could use in confronting other partners of common fields. Moreover, it seems to find the best approach for Iran and other countries in cooperation and non-cooperation conditions in extraction. The results showed that the higher the number of countries for a common resource, the less the attempt of each country would be; however, the more the total attempt of countries will be, which means more waste of attempt. Overall, partner countries in a resource are recommended to take actions to extract common resource via agreement and mutual cooperation; so that they could extract the same amount of common resources exercising less effort.</CONTENT>
					</ABSTRACT>
					<ABSTRACT>
						<LANGUAGE_ID>0</LANGUAGE_ID>
						<CONTENT>مدیریت بهره برداری از ذخایر نفت و گاز خلیج فارس به دلیل اهمیت بسیار بالای این منطقه که حدود 60 درصد ذخایر اثبات شده نفت و 40 درصد ذخایر اثبات شده گاز جهان را داراست و استراتژی های نفت و گاز جهان را رقم خواهد زد، بسیار حیاتی است. این مقاله با بهره گیری از نظریه بازی به دنبال دست یابی به بهترین استراتژی است که ایران می تواند در مواجهه با سایر شرکای میادین مشترک، داشته باشد و همچنین در دو حالت همکاری و عدم همکاری در استخراج، بهترین استراتژی برای ایران و سایر کشورها چه خواهد بود. نتایج نشان داد که در صورت همکاری بین کشورها با سطح تلاش کمتری می توان همان اندازه از منابع را استخراج کرد که در صورت عدم همکاری بین کشورها اتفاق می افتاد. همچنین هر چه تعداد کشورها برای یک منبع مشترک، بیشتر باشد، سطح تلاش هر کشور کمتر خواهد بود اما سطح تلاش مجموع کشورها بیشتر خواهد شد، یعنی میزان تلاش بیشتری هدر می رود. نهایتاً پیشنهاد می گردد که کشورهای شریک در یک منبع با عقد موافقت نامه، با همکاری متقابل به استخراج منابع مشترک بپردازند، تا با میزان کمتری از تلاش بتوانند همان مقادیر از منابع مشترک را استخراج کنند.</CONTENT>
					</ABSTRACT>
				</ABSTRACTS>
				<PAGES>
					<PAGE>
						<FPAGE>185</FPAGE>
						<TPAGE>202</TPAGE>
					</PAGE>
				</PAGES>
	
				<AUTHORS><AUTHOR>
						<Name>صلاح</Name>
						<MidName></MidName>		
						<Family>سلیمیان</Family>
						<NameE>Salah</NameE>
						<MidNameE></MidNameE>		
						<FamilyE>Salimian</FamilyE>
						<Organizations>
							<Organization>Department of Economics, Urmia University, Urmia, Iran.</Organization>
						</Organizations>
						<Countries>
							<Country>Iran</Country>
						</Countries>
						<EMAILS>
							<Email>salahsalimian@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>نظریه بازی</KeyText>
					</KEYWORD>
					<KEYWORD>
						<KeyText>بازی های ایستا با اطلاعات کامل</KeyText>
					</KEYWORD>
					<KEYWORD>
						<KeyText>منابع مشترک نفت و گاز</KeyText>
					</KEYWORD></KEYWORDS>
				<REFRENCES>
				<REFRENCE>
				<REF>References## Abduli, Q. (2007). Game Theory and Its Applications (Static and Dynamic Games of Complete Information). Academic Jihad of University of Tehran, Tehran, ##Abduli, Q. (2012). Game Theory and Its Applications (Incomplete, Complementary and Collaborative Information Games). SAMT. Tehran.##Ahmadian, M., &amp; Varharami, V. (2013). Achieving optimum path of extraction from offshore reservoirs of south pars (through applying environmental limitations) with emphasis on the significance of financial resources. Journal of Practical Economic Studies in Iran. 2(6), 105-120.##Aplak H. S., &amp; Sogut M. Z. (2013). Game theory approach in decisional process of energy management for industrial sector. Energy Conversion and Management, 74, 70–80.##Beyene, Z., &amp; Wadley I. L.G. (2004). Common goods and the common goods: trans-boundary natural resources, principle cooperation, and the nil basin initiative. Center for African Studies, Berkley University.##Daneshnia, F. (2011). The application of game theory and neo-liberal institutionalization in behavior analysis of main players of gas OPEC. Journal of Political Sciences. 8(1), 143-172.##Darvishi, F., &amp; Nojomi, E. (2007). The common hydrocarbon reserves of Iran in Persian Gulf: Challenges and chances. Scientific and Research Journal of Iran Geographical Association. 5 (12-13), 167-186.## Emami Meybodi, A., Haqdoust, E., &amp; Pakdin J. (2010). The growth sustainability test on unrecoverable resources (review of Hoteling model) case study: OPEC Oil. Journal of Iran Economic Studies. 14 (42), 149-167.##Esmaeili, M., Bahrini, A., &amp; Shayanrad, S. (2015). Using game theory approach to interpret stable policies for Iran’s oil and gas common resources conflicts with Iraq and Qatar. Journal of Industrial Engineering International, 11(4), 543–554.##Forneth, M. (2004). Powering foreign policy; the rule of oil in diplomacy and conflict, research fellow physicians for social responsibility. PSR Energy Security Initiative.##Gibbons, R. (1997). An introduction to applicable game theory. Journal of Economic Perspective, 11(1), 127-149.##Ghorbani Pashakolaie, V., Khorsandi, M., Mohammadi, T., Khaleghi, S., Shakeri, A., &amp; Abtahi Foroshani, S. T.  (2014). Modeling optimal oil extraction using optimal control model: A case study of an Iranian oil field. Iranian Energy Economics Research. 4 (13), 191-220.##Haile P. H., Hendricks, K., &amp; Porter, R. (2010). Recent U.S offshore oil and gas lease bidding: A progress report. International Journal of Industrial Organization, 28(4), 390-396.##Haji Mirzaei, S. M. A., Emami Meybodi, A., Ebrahimi, M., Sori, A., &amp; Ghorbani Pashakolaie, V. (2016). Optimal extraction path in an oil and gas Broun field under the buyback contractual framework (case study on the Iranian oil field in the Persian Gulf). Journal of Economic Modeling Research. 6 (24), 41-82.##Hotelling, H. (1929). Stability in competition, Economic Journal, 39, 41–57.##Ilias, S. (2008). Iran’s Economy. Congressional Research Service (CRS) Report for Congress, 15–16, updated on June 2008, viewed on January 5, 2012. http://www.parstimes.com/history/ crs_economy_08.pdf.##Jahani, F. (2011). Exploration of common oil and gas fields &amp; marine delimitation. The Judiciary Law Journal, 75, 113-145.##Keramati Moezabad, M., &amp; Ghasem, M. (2014). Determination of optimum well number in one of the Iranian oil reservoirs using Monte Carlo and genetic algorithm models. Journal of Petroleum Research.  25(82) ,82-94.##Leighty, W., &amp; Lin, C. Y. C. (2012). Tax policy can change the production path: A model of optimal oil extraction in Alaska. Energy Policy, 41, 759-774.##Lin, C. Y. C. (2009). Insight from a simple Hotelling model of the world oil market. Natural Resources Research, 18(1),19-28.##Magirou, V. F. (1984). Switching away from oil: A game-theoretic approach. Resource Energy, 6(4), 397–410.##Mas-Colell, A., Whinston, M. D., &amp; Green, J. R.  (1995). Microeconomic theory. London: Oxford University Press.##Mir Abbasi, S. B., &amp; Jahani, F. (2011). Legal regime on utilization of common fields of oil and gas in Persian Gulf in terms of international laws. Rahbord Quarterly, 20(61), 91-122.##Navazani, B., &amp; Nojomi, E. (2008). Legal pattern of extraction from common hydrocarbon reserves of Persian Gulf. Journal of Economic-Political Information, 247-248.##Popescu, M. F., &amp; Hurduzeu, G. (2015). Energy challenges for Europe - scenarios of the importance of natural gas prices from a game theory perspective. Journal of Game Theory, 4(2), 26-35.##Pyndyck, R. (1978). The optimal exploration and production of nonrenewable resources. Journal of Political Economy, 86(5), 841-861.##Rashidi, S. (2013). Nash Equilibrium in Quantum Game Theory. MA thesis, Uremia University, 16-17.  ##Shy, O. (2014). Industrial Organization: Theory and Applications. Translated by Kiomars Shahbazi, Nashre Daneshgahi Publication, Tehran.  ##Siegfried, T. (2013). A beautiful math: John Nash, game theory, and the modern quest for a code of nature. Translated by Mehdi Sadeqi, Ney publication, 2nd edition, Tehran##Tabibian, M. (2010). On equilibrium in conflict. available from http://drsayad.blogfa.com/post-1316.aspx##Zeng, L., Zhao, L., Wang, Q., Wang, B., Xie, Y., Ma, Y., &amp; Cui, W. (2018). Modeling interprovincial cooperative energy saving in China: An electricity utilization perspective. Energies, 11(1), 1-25.##</REF>
						</REFRENCE>
					</REFRENCES>
			</ARTICLE>
				<ARTICLE>
                <LANGUAGE_ID>1</LANGUAGE_ID>
				<TitleF>تاثیر نابرابری فرصت ها بر رشد اقتصادی و درآمد سرانه</TitleF>
				<TitleE>Opportunity Inequality and its Effects on Economic Growth and Per Capita GDP</TitleE>
                <URL>https://ijes.shirazu.ac.ir/article_4781.html</URL>
                <DOI>10.22099/ijes.2018.24959.1322</DOI>
                <DOR></DOR>
				<ABSTRACTS>
					<ABSTRACT>
						<LANGUAGE_ID>1</LANGUAGE_ID>
						<CONTENT>Opportunity inequality and its relationship with economic growth is a concept to which not enough attention has been paid in the previous studies. This study attempts to investigate the effects of opportunity inequality index on economic growth in 15 developing and 15 developed countries over the years 1995-2015. Accordingly, the mean group (MG) estimator within the framework of panel data was used and a new index for opportunity inequality was created. Furthermore, the effects of opportunity inequality and its sub-indices on per capita GDP were compared with the results of the model when economic growth was a dependent variable. The results showed that inequality of opportunities and its sub-indices on economic growth and per capita GDP had different effects in the developed and developing countries.</CONTENT>
					</ABSTRACT>
					<ABSTRACT>
						<LANGUAGE_ID>0</LANGUAGE_ID>
						<CONTENT>نابرابری فرصت و ارتباط آن با رشد اقتصادی موضوعی است که در مطالعات دیگر کمتر به آن اشاره شده است. در این مطالعه تلاش شده است تا اثرات نابرابری فرصت روی رشد اقتصادی در 15 کشور در حال توسعه و 15 کشور توسعه یافته طی دوره 1995-2015 مورد بررسی قرار گیرد. استفاده از روش برآورد میانگین گروهی در چارچوب داده های تابلویی، و ساخت شاخصی جدید برای نابرابری فرصت و بررسی اثر آن بر رشد اقتصادی از جمله موارد تمایز این مطالعه با سایر مطالعات می باشد. علاوه بر این اثرات نابرابری فرصت و زیرشاخص های آن روی درآمد سرانه با نتایج مدل زمانی که رشد اقتصادی متغیر وابسته بوده است، مقایسه شده است. نتایج نشان داد که اثرات شاخص نابرابری فرصت و زیر شاخص های آن روی رشد اقتصادی و سطح درآمد سرانه در بین کشورهای در حال توسعه و توسعه یافته، با یکدیگر تفاوت قابل ملاحظه ای داشته است.</CONTENT>
					</ABSTRACT>
				</ABSTRACTS>
				<PAGES>
					<PAGE>
						<FPAGE>203</FPAGE>
						<TPAGE>225</TPAGE>
					</PAGE>
				</PAGES>
	
				<AUTHORS><AUTHOR>
						<Name>حسین</Name>
						<MidName></MidName>		
						<Family>محمدی</Family>
						<NameE>Hosein</NameE>
						<MidNameE></MidNameE>		
						<FamilyE>Mohammadi</FamilyE>
						<Organizations>
							<Organization>Faculty of Agriculture, Ferdowsi University of Mashhad, Mashhad, Iran.</Organization>
						</Organizations>
						<Countries>
							<Country>Iran</Country>
						</Countries>
						<EMAILS>
							<Email>hoseinmohammadi@um.ac.ir</Email>			
						</EMAILS>
					</AUTHOR><AUTHOR>
						<Name>عبدالحمید</Name>
						<MidName></MidName>		
						<Family>معارفی محمدی</Family>
						<NameE>Abdol-Hamid</NameE>
						<MidNameE></MidNameE>		
						<FamilyE>Moarefi- Mohammadi</FamilyE>
						<Organizations>
							<Organization>Department of Economics, University of Isfahan, Isfahan, Iran.</Organization>
						</Organizations>
						<Countries>
							<Country>Iran</Country>
						</Countries>
						<EMAILS>
							<Email>a.h.mohammadi@ase.ui.ac.ir</Email>			
						</EMAILS>
					</AUTHOR><AUTHOR>
						<Name>حنانه</Name>
						<MidName></MidName>		
						<Family>آقاصفری</Family>
						<NameE>Hananeh</NameE>
						<MidNameE></MidNameE>		
						<FamilyE>Aghasafari</FamilyE>
						<Organizations>
							<Organization>Faculty of Agriculture, Ferdowsi University of Mashhad, Mashhad, Iran.</Organization>
						</Organizations>
						<Countries>
							<Country>Iran</Country>
						</Countries>
						<EMAILS>
							<Email>h.aghasafari@yahoo.com</Email>			
						</EMAILS>
					</AUTHOR></AUTHORS>
				<KEYWORDS>
					<KEYWORD>
						<KeyText>رشد اقتصادی</KeyText>
					</KEYWORD>
					<KEYWORD>
						<KeyText>شاخص نابرابری فرصت</KeyText>
					</KEYWORD>
					<KEYWORD>
						<KeyText>تولید ناخالص داخلی سرانه</KeyText>
					</KEYWORD></KEYWORDS>
				<REFRENCES>
				<REFRENCE>
				<REF>References## Arneson, R. (1989). Equity and equality of opportunity for welfare. Journal of Philosophical Studies, 56(1), 77-93. ##Asteriou, M., &amp; Hall, S. G. (2007). Applied Econometrics: A Modern Approach. Palgrave Hampshire, New York.##Baltagi, B. H. (2005). Econometric Analysis of Panel Data. John Wiley and Sons, New York.##Blau, B. M. (2018). Income inequality, poverty, and the liquidity of stock markets. Journal of Development Economics, 130, 113-126.##Breitung, J. (2001). The Local Power of Some Unit Root Tests for Panel Data. In Non-Stationary Panels, Panel Cointegration, and Dynamic Panels, Emerald Publishing Limited. 161–177.##Bricard, D., Jusot, F., Trannoy, A., &amp; Tubeuf, S. (2013). Inequality of opportunities in health and the principle of natural reward: Evidence from European countries. Research of Economic Inequality, 21, 335-370.##Castell ́o-Climent, A. (2010). Inequality and growth in advanced economies:  An empirical investigation. Journal of Economic Inequality. 8(3), 293–321.##Cervellati, M., &amp; Sunde, U. (2009). Life expectancy and economic growth: The role of the demographic transition. Discussion Paper No. 4160.##Checchi, D., &amp; Peragine, V. (2010). Inequality of opportunity in Italy. Journal of Economic Inequality, 8, 429–450. ##Chow, G. C. (1960). Tests of equality between sets of the coefficient in two linear regressions. Journal of Econometrica, 28, 591–605.##Cohen, G.A. (1989). On the currency of egalitarian justice. Ethics, 99, 906–944.##Dietmar, F. (2018). Is increasing inequality harmful? Experimental evidence. Games and Economic Behavior, 107, 123-134.##Dworkin, R. (2000). Sovereign Virtue: The Theory and Practice of Equality. Harvard University, Cambridge.##Ferreira, F. H. G., &amp; Gignoux, J. (2008). The measurement of inequality of opportunity: Theory and an application to Latin America. World Bank Policy Research Working Paper Number 4659.##Ferreira, F., Lakner, C., Lugo, M., &amp; Ozler, B. (2014). Inequality of opportunity and economic growth: A cross-country analysis. IZA Discussion Paper No. 8243.##Fishman, A., &amp; Simhon, A. (2002).  The division of labor, inequality and growth. Journal of Economic Growth, 15, 117-136.##Forbes, K. (2000). A reassessment of the relationship between inequality and growth. American Economic Review, 90, 869–887.##Foster, N. (2008). The impact of trade liberalization on economic growth: Evidence from a quantile regression analysis. KYKLOS, 61, 543-567.##Frank. M. W. (2009). Income inequality, human capital, and income growth: Evidence from a state-level VAR analysis. Atlantic Economic Journal, 37(2), 173–185.##Frankel, J. A., &amp; Romer, D. (1999). Does trade cause growth? American Economic Review, 89, 379-399.##Ghani, G. M. (2011). The impact of trade liberalization on the economic performance of OIC member countries. Journal of Economic Cooperation and Development, 32(1), 1-18. ##Hakura, D., Hussain, M., Newiak, M., Thakoor, V., &amp; Yang, F. (2016). Inequality, gender gaps and economic growth: Comparative evidence for Sub-Saharan Africa. IMF Working Paper. ##Halter, D., Oechslin, M., &amp; Zweim ̈uller, J. (2014). Inequality and growth:  The neglected time dimension. Journal of Economic Growth, 19(1), 81–104.##Hanushek, E.A. (2013). Economic growth in developing countries: The role of human capital. Economics of Education Review, 37, 204-212.##Haqiqi, I., &amp; Mortazavikakhki, M. (2012). The Impact of opportunities redistribution on income inequality: CGE approach. Journal of Economic Modeling Research, 7, 51-73. ##Hartmann, Dominik, Miguel R. Guevara, Cristian Jara-Figueroa, Manuel Aristarán, &amp; César A. Hidalgo. (2017). Linking economic complexity, institutions, and income inequality. World Development, 93, 75-93.##Holt, C. C. (2004). Forecasting seasonal and trends by exponentially weighted moving averages. Journal of Forecasting, 20, 5–10. ##Im, K. S., Pesaran, M. H., &amp; Shin, Y. (2003). Testing for unit roots in heterogeneous panels. Journal of Econometrics, 115, 53–74.##Irwin, D. A., &amp; Tervio, M. (2002). Does trade raise income? Evidence from the twentieth century. Journal of International Economics, 58, 1-18.##Islam, M. R. (2018). Wealth inequality, democracy and economic freedom. Journal of Comparative Economics, (In Press), Available online 12 January 2018.##Jajri, I., &amp; Ismail, R. (2010). Impact of labor quality on labor productivity and economic growth. African Journal of Business Management, 4, 486-498.##Jusot, F., Tubeauf, S., &amp; Trannoy, A. (2010). Effort or circumstances: Does the correlation matter for inequality of opportunity in health? IRDES Working Papers Number, 33.##Kennedy, T., Smyth, R., Valadkhani, A., &amp; Chen, G. (2015). Long and short-run effects of income inequality on the per capita output of Australian states. Discussion paper, 55/15.##Kim, J., Lee, J., &amp; Shin, K. (2016). A model of gender inequality and economic growth. ADB (Asian Development Bank) Economics Working Paper Series, No, 475.##Klasen, S., &amp; Lamanna, F. (2009). The impact of gender inequality in education and employment on economic growth: New evidence for a panel of countries. Feminist Economics, 15, 91-132.##Knowles, S. (2005). Inequality and economic growth: The empirical relationship reconsidered in the light of comparable data. Journal of Development Studies, 41, 135–159.##Kranich, L. (1996). Equitable opportunities: An axiomatic approach. Journal of Economic Theory, 71, 131-147. ##Lefranc, A., Pistolesi, N., &amp; Trannoy, A. (2008). Inequality of opportunities vs. inequality of outcomes: Are western societies all alike? Review of Income and Wealth, 54, 513–546. ##Levin, A., Lin, C.F., &amp; Chu, C-S. J. (2002). Unit root tests in panel data: Asymptotic and finite sample properties. Journal of Econometrics, 108, 1–22.##Marrero, G. A., &amp; Rodriguez, J. G. (2013). Inequality of opportunity and growth. Journal of Development Economics, 104, 107–122.##Mehrara, M., &amp; Musai, M. (2013). The relationship between economic growth and human capital in developing countries. International Letters of Social and Humanistic Sciences, 5, 55-62.##Nunes, J., &amp; Tartakowsky, A. (2007). Inequality of outcomes vs. inequality of opportunities in a developing country an exploratory analysis for Chile. Estudios de Economia, 34, 185-202.##Onofrio, A., Raoul M., &amp; Pierluigi M. (2017). Banking development, socioeconomic structure and income inequality. Journal of Economic Behavior &amp; Organization.##Panizza, U. (2002). Income inequality and economic growth: Evidence from American data. Journal of Economic Growth, 7, 25–41.##Partovi, B., Amini, S., &amp; Goudarzi, A. (2011). The effect of gender inequality on economic growth in Iran. Quarterly Journal of Economic Modelling, 3, 51-76.##Partridge, M. D. (2005). Does income distribution affect U.S. state economic growth? Journal of Regional Science, 45 (2), 363–394.##Pelinescu, E. (2015). The impact of human capital on economic growth. Procedia Economics and Finance, 22, 184 – 190.##Penn World Table, Version 8.1 (PWT 8.1). http://www.rug.nl/research/ggdc/data/pwt/pwt-8.1. Cited 2015.##Pesaran, M.H., &amp; Smith, R. (1995). Estimating long-run relationships from dynamic heterogeneous panels. Economist Journal, 68 (1), 79-113.##Pesaran, M. H., Shin, Y., &amp; Smith, R. P. (1999). Pooled mean group estimation of dynamic heterogeneous panels. Journal of American Statistics Association, 94, 621-634.##Rodríguez, F. (2000). Inequality, economic growth and economic performance. A Background Note for the World Development Report.##Roemer, J. E. (1998). Equality of Opportunity. Harvard University, Cambridge.##Rougoor, W., &amp; Marrewijk C. V. (2015). Demography, growth, and global income inequality. World Development, 74, 220-232.##Sen, A. K. (1980). Equality of What? Cambridge University, Cambridge.##Székeli, M. (2003). The 1990s in Latin America: Another decade of persistent inequality, but with somewhat lower poverty. Journal of Applied Economics, 1, 317–339.##Tahmasebi, j. (2012). Human development index and position of Iran in the world. Center for Strategic research, Iran.##United Nations Development Programme (UNDP). (2016). Human developments reports. http://hdr.undp.org/en/data. Cited 8 March 2016. ‎http://hdr.undp.org/sites/default/files/2015_human_development_report.pdf##UNDP (2017).  What is human development? Retrieved 27 October 2017.##Voitchovsky, S. (2005). Does the profile of income inequality matter for economic growth? Journal of Economic Growth, 10(3), 273–296.##Weide, R.V.D., &amp; Milanovic, B. (2014). Inequality is bad for growth of the poor. World Bank Policy Research Working Paper Number 6963.##Weymark, J. A. (2003). Generalized Gini indices of equality of opportunity. The Journal of Economic Inequality, 1, 5-24.##Winters, P. R. (1960). Forecasting sales by exponentially weighted moving averages. Management Science, 6, 324–342.##Wooldridge, J. M. (2002). Econometric Analysis of Cross Section and Panel Data. Cambridge, MA: MIT Press.##World Bank. (2016). http://data.worldbank.org. Cited 14 October 2016.##Wroblowsky, T., &amp; Yin, H. (2016). Income inequalities in China: Stylized facts vs. reality. Perspectives in Science, 7, 59-64.##Yalonetsky, G. (2012). A dissimilarity index of multidimensional inequality of opportunity. Journal of Economic Inequality, 10, 343-373.##Zhang, Y., &amp; Eriksson, T. (2010). Inequality of opportunity and income inequality in nine Chinese provinces, 1989–2006. China Economic Review, 21, 607–616.##</REF>
						</REFRENCE>
					</REFRENCES>
			</ARTICLE>
				<ARTICLE>
                <LANGUAGE_ID>1</LANGUAGE_ID>
				<TitleF>برجستگی عناصر قائم بالذات علم اقتصاد در روند تکامل اندیشه اقتصادی</TitleF>
				<TitleE>Notability of Substantive Elements of Economics, in Groundwork of Evolution of Economic Thought</TitleE>
                <URL>https://ijes.shirazu.ac.ir/article_4736.html</URL>
                <DOI>10.22099/ijes.2018.27401.1386</DOI>
                <DOR></DOR>
				<ABSTRACTS>
					<ABSTRACT>
						<LANGUAGE_ID>1</LANGUAGE_ID>
						<CONTENT>This paper is investigating that:&quot; resurging evolution of economic thought, EET, is brilliantly in direction with eminence of substantive elements of economics itself&quot;. It presupposes that the substantive elements of economics embraces the following package: 1- maintaining on some epistemic doctrines, including rationality, efficiency and equilibrium.2-dynamic characteristic of economic theories. 3-obvious interdisciplinary framework and systematic relationship with other social sciences.4- Compatibility with mildness and moderation.5- institutional, social and ethical potentialty.6-pluralistic in nature and potentiality for methodological reforms.7-Applying the package in question would create an outstanding analytical power. Due to pluralistic nature of conventional economics, it constitutes mainstream and non-mainstream, neoclassic and non-neoclassical paradigms and so forth. Moreover, neoclassic paradigm includes both orthodox and non-orthodox approaches. This paper maintains on efficacy of moderate and non-orthodox paradigms of conventional economics.</CONTENT>
					</ABSTRACT>
					<ABSTRACT>
						<LANGUAGE_ID>0</LANGUAGE_ID>
						<CONTENT>این مقاله این موضوع را تحلیل می‌کند که: بازگشت به اندیشه اقتصادی به‌طوری چشمگیر در راستای تبیین عناصر قائم بالذات خود علم اقتصاد است. پیش‌فرض کلیدی این کار آن است که عناصر قائم بالذات علم اقتصاد بسته زیر را شامل می‌شود: 1- استواری بر یک سلسله اصول معرفت‌شناختی مانند عقلانیت، کارآمدی و تعادل 2- دارای نظریه‌های پویا 3- برخورداری آشکار از چارچوب بین‌رشته‌ای و پیوند نظام‌مند با دیگر رشته‌های علوم اجتماعی 4- دارای ظرفیت تولید پارادایم‌های میانه و معتدل 5- بهره‌مندی از قابلیت نهادی، اجتماعی و اخلاقی 6- ماهیت چند پارادایمی و قابلیت اصلاح روش شناختی و سرانجام 7- داشتن ظرفیت تحلیلی قوی به دلیل ویژگی‌های یادشده. همچنین بر این نتیجه تأکید می‌شود که اقتصاد به دلیل خصوصیت چند پارادایمی شامل رویکردهای ارتدکسی و هم غیر ارتدکسی است. یک یافته این مقاله نشان دادن کارآمدی پارادایم‌های غیر ارتدکسی از مجموعه پارادایم‌های اقتصاد متعارف است.</CONTENT>
					</ABSTRACT>
				</ABSTRACTS>
				<PAGES>
					<PAGE>
						<FPAGE>227</FPAGE>
						<TPAGE>249</TPAGE>
					</PAGE>
				</PAGES>
	
				<AUTHORS><AUTHOR>
						<Name>یدالله</Name>
						<MidName></MidName>		
						<Family>دادگر</Family>
						<NameE>Yadollah</NameE>
						<MidNameE></MidNameE>		
						<FamilyE>Dadgar</FamilyE>
						<Organizations>
							<Organization>Faculty of Economics and Political Sciences, Shahid Beheshti University, Tehran, Iran.</Organization>
						</Organizations>
						<Countries>
							<Country>Iran</Country>
						</Countries>
						<EMAILS>
							<Email>yydadgar@gmail.com</Email>			
						</EMAILS>
					</AUTHOR></AUTHORS>
				<KEYWORDS>
					<KEYWORD>
						<KeyText>سیر اندیشه اقتصادی</KeyText>
					</KEYWORD>
					<KEYWORD>
						<KeyText>عناصر قائم بالذات اقتصاد</KeyText>
					</KEYWORD>
					<KEYWORD>
						<KeyText>اقتصاد متعارف</KeyText>
					</KEYWORD></KEYWORDS>
				<REFRENCES>
				<REFRENCE>
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			</ARTICLE>
				<ARTICLE>
                <LANGUAGE_ID>1</LANGUAGE_ID>
				<TitleF>اثر مالیات سبز بر بخش سلامت ایران: رهیافت تعادل عمومی</TitleF>
				<TitleE>Green tax effect on Iran’s health sector: A general equilibrium approach</TitleE>
                <URL>https://ijes.shirazu.ac.ir/article_4813.html</URL>
                <DOI>10.22099/ijes.2018.28305.1430</DOI>
                <DOR></DOR>
				<ABSTRACTS>
					<ABSTRACT>
						<LANGUAGE_ID>1</LANGUAGE_ID>
						<CONTENT>Despite positive aspects of energy consumption, their negative externalities i.e., environmental pollutions, are considerable. Green taxes, paid for products and services that are not environmentally friendly, are recommended as an efficient way of improving health indices. Since, Iran is among the countries with high per capita consumption of energy, pollution can be a kind of threat. In this regard, to simulate the effect of green taxes on Iran’s health sector, we use a general equilibrium model, calibrated by Iran’s Social Accounting Matrix (SAM) in 2011. The results show green taxes reduces all kinds of environmental pollutions. Furthermore, 62% of health costs are spent on mortality, 26.4% on morbidity, and 11.6% on non-health effects.</CONTENT>
					</ABSTRACT>
					<ABSTRACT>
						<LANGUAGE_ID>0</LANGUAGE_ID>
						<CONTENT>علی‌رغم وجود جنبه های مثبت مصرف انرژی، عوارض جانبی منفی ناشی از آن قابل توجه می باشد. آلودگی های زیست محیطی به عنوان یکی از این عوارض محسوب می شود که سلامت انسان ها را در قرن حاضر به مخاطره انداخته است. اعمال مالیات سبز بر روی نهاده ها و محصولات یا خدماتی که با محیط زیست سازگار نیستند، توسط اقتصاددانان محیط زیست به عنوان یک روش کارآمد برای بهبود شاخص های بهداشتی توصیه می شود. از آنجایی که ایران در میان کشورهای دارای مصرف سرانه بالای انرژی می باشد، آلودگی می تواند تهدید جدی برای جامعه ایجاد کند. این مطالعه با استفاده از یک مدل تعادل عمومی با در نظر گرفتن اثرات متفاوت بخش‌های اقتصاد، انرژی، محیط زیست و بخش سلامت به شبیه‌سازی اثر مالیات سبز بر شاخص‌های سلامت در ایران می‌پردازد. مدل ارائه شده با داده‌های ماتریس حسابداری اجتماعی سال 1390 ایران کالیبره شده است. نتایج مطالعه نشان داد با اعمال سیاست مالیات سبز، انتشار تمامی‌آلاینده‌ها با درجات مختلفی همواره کاهش می‌یابد. همچنین، اثرات آلودگی بر شاخص‌های سلامت نشان می‌دهد که سهم هزینه‌های مرگ و میر، بیماری(ناخوشی) و اثرات غیرسلامت ناشی از آلودگی هوا به ترتیب 62، 26.4 و 11.6 درصد می‌باشد.</CONTENT>
					</ABSTRACT>
				</ABSTRACTS>
				<PAGES>
					<PAGE>
						<FPAGE>251</FPAGE>
						<TPAGE>270</TPAGE>
					</PAGE>
				</PAGES>
	
				<AUTHORS><AUTHOR>
						<Name>محمدعلی</Name>
						<MidName></MidName>		
						<Family>ترکی هرچگانی</Family>
						<NameE>Mohammad Ali</NameE>
						<MidNameE></MidNameE>		
						<FamilyE>Torki Harchegani</FamilyE>
						<Organizations>
							<Organization>Department of Agricultural Economics, Sistan and Baluchestan University, Zahedan, Iran</Organization>
						</Organizations>
						<Countries>
							<Country>Iran</Country>
						</Countries>
						<EMAILS>
							<Email>torki@pnu.ac.ir</Email>			
						</EMAILS>
					</AUTHOR><AUTHOR>
						<Name>نظر</Name>
						<MidName></MidName>		
						<Family>دهمرده</Family>
						<NameE>Nazar</NameE>
						<MidNameE></MidNameE>		
						<FamilyE>Dahmardeh</FamilyE>
						<Organizations>
							<Organization>Department of Economics, University of Sistan and Baluchestan, Zahedan, Iran.</Organization>
						</Organizations>
						<Countries>
							<Country>Iran</Country>
						</Countries>
						<EMAILS>
							<Email>nazar@hamoon.usb.ac.ir</Email>			
						</EMAILS>
					</AUTHOR></AUTHORS>
				<KEYWORDS>
					<KEYWORD>
						<KeyText>مالیات سبز</KeyText>
					</KEYWORD>
					<KEYWORD>
						<KeyText>آلاینده‌ها</KeyText>
					</KEYWORD>
					<KEYWORD>
						<KeyText>شاخص‌های سلامت</KeyText>
					</KEYWORD>
					<KEYWORD>
						<KeyText>مدل تعادل عمومی</KeyText>
					</KEYWORD></KEYWORDS>
				<REFRENCES>
				<REFRENCE>
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