نویسندگان
چکیده
هدف از این مقاله تحلیل بهره وری کل عوامل تولید در44 کشور آسیایی با استفاده از تحلیل مرز تصادفی در دوره 2000 تا 2010 می باشد. با استفاده از مدل باتیز و کول[1] بهره وری کل عوامل تولید به فاکتورهای تغییرات فنی و تغییرات کارایی فنی تجزیه شد. تجزیه بهره وری با استفاده از این روش نشان می دهد در بین سال های 1998 تا 2007 در 75 درصد از این کشورها نقش تغییرات فنی منفی بوده است، فقط در 11 کشور تغییرات فنی نقش مثبت در رشد بهر وری داشته است. نتایج حاصل از محاسبه رشد بهره وری نشان می دهد که کشور ژاپن با رشدی معادل 55/2 درصد در صدر قرار دارد و کشورهای عربستان سعودی، کره جنوبی و هنک کنگ در موقعیت های بعدی قرار دارند. همچنین کمترین رشد بهره وری مربوط به کشورهای تازه استقلال یافته، ارمنستان، آذربایجان، قزاقستان، قرقیزستان، تاجیکستان، ترکمنستان و ازبکستان می باشد.
[1]. Battese & Coelli
کلیدواژه‌ها
Afonso, A., & St. Aubyn, M. (2010). Public and Private Inputs in Aggregate Production and Growth: A cross-country efficiency Approach; Working Paper Series, No. 1154.
Aigner Dennis J., Knox Lovell, C. A. & Schmidt, P. (1977). Formulation and Estimation of Stochastic Frontier Production Function Models. Journal of Econometrics, 6 (1), p21-37.
Aisen, A., & Veiga, F. J. (2013). How does political instability affect economic growth? European Journal of Political Economy, 29, 151-167.
Alimoradi, L., Shirin Bakhsh, S., & Totonchian, I. (2003). Measuring total factor productivity growth in the economy and determine its contribution to GDP growth, M.A Dissertation, ALzahra university.
Angeriz A., Mc Combie J., & Roberts, M. (2006). Productivity, Efficiency and Technological Change in European Union Regional Manufacturing, A Data Envelopment Analysis Approach, the Manchester School 74(4), 500-525.
Arazmuradov, A., Martini, G., & Scotti, D. (2013). Determinants of total factor productivity in former Soviet Union economies: A stochastic frontier approach. Economic Systems.
Azomahou, T. T., Diene, B., & Diene, M. (2013). Nonlinearities in productivity growth: A semi-parametric panel analysis. Structural Change and Economic Dynamics, 24, 45-75.
Baten, M. A., Kamil, A. A., & Kanis, F. (2009). Technical efficiency in Stochastic Frontier Production Model: An application to the
Manufacturing industry in Bangladesh. Australian Journal of Basic and Applied Sciences, 3(2): 1160-1169.
Battese, G., & Coelli, T. (1992). Frontier production functions, technical efficiency and panel data: With application to paddy farmers in India; Journal of Productivity Analysis, 3, 153-169.
Battese, G., & Coelli, T. (1995). A model for technical inefficiency effects in a Stochastic Frontier Production Function for Panel Data. Empirical Economics, 20, 325-332.
Bauer, P. W. (1990). Decomposing TFP in the presence of cost inefficiency, no constant returns to scale, and technological progress. Journal of Productivity Analysis, 1, 287-299.
Bayarsaihan, T., Battese, G. E., & Coelli, T. J. (1998). Productivity of Mongolian Grain Farming, CEPA Working Papers, No. 2/98, 1976-89.
Deliktas, E., & Balcilar, M. (2005). A Comparative analysis of productivity growth, catch-up and convergence in transition economies. Emerging Markets Finance and Trade, 41(1), 6-28.
Deliktaş, E. (2008). The comparison of technical efficiency and productivity growth in the former Soviet Countries for two periods, 3rd IEU-SUNY, Cortland Intern. Conf. in Economics, Economic Issues in Globaliziاng World, May 1-2, İzmir - Turkey.
Duffy, J., & Papageorgiou, C. ( 2000). A Crosscountry Empirical Investigation of the Aggregate Production Function Specification, Journal of Economic Growth , pp. 87-120.
Färe, R., Grosskopf, S., & Lovell, C. A. K. (1994). Production Frontiers. Cambridge, UK, Cambridge University Press.
Fare, R., Grosskopf, S. & Lovell, C.A.K. (1985). The Measurement of Efficiency of Production, Boston: Kluwer-Nijh off Publishing.
Hall, R., & Jones, C. (1996). The productivity of nations. NBER Working Paper no. 5812.
Hakimipoor, N., & Hozhabr Kiani, K. (2008). A comparative analysis of efficiency in Iran’s provincial manufacturing sector. Journal of Knowledge and Development, 15(24), 133-161.
Han, G., Kalirajan. K. P., & Singh, N. (2001). Productivity and Economic Growth in East Asia: Innovation, Efficiency and Accumulation; Santa Cruz Center for International Economics Working Paper ,01-2.
Hejazi, R., Anvari Rostami, A., & Moghadasi, M. (2008). Total productivity analysis of export development bank of Iran and productivity growth in branches. Journal of Industrial Management, 1(1), 39-50.
Honma, M. (2001). Measuring Total Factor Productivity in Japan. Measuring Total Factor Productivity. Tokyo: Asian Productivity Organization. 81.
Ilmakunnas, P., & Miyakoshi, T. (2013). What are the drivers of TFP in the Aging Economy? Aging labor and ICT capital. Journal of Comparative Economics, 41(1), 201-211.
Kalirajan, K.P, Obwona, M.B., & Zha S. ) 1996(. A decomposition of total factor productivity growth: the case of Chinese agricultural growth before and after reforms. American Journal of Agricultural Economics, 78, pp 331-338.
Koop, G., Osiewalski, J., & Steel, M.F.J. (1999). The components of output growth: a stochastic frontier analysis. Oxford Bulletin of Economics and Statistics, 61,pp 455-487.
Kumbhakar, S. C., & Lovell, C. A. K. (2000). Stochastic Frontier Analysis, Cambridge University Press, Cambridge, UK.
Kumbhakar, S. C., & Wang, Hung-Jen (2005). Estimation of growth convergence using a stochastic production frontier approach, Economics Letters, Elsevier, 88(3), pages 300-305.
Lee, B. (2001). Measuring Total Factor Productivity in Republic of Korea. Measuring Total Factor Productivity; Tokyo: Asian Productivity Organization, p: 100.
Liao, H., Holmes, M., Weyman-Jones, T., & Llewellyn, D. (2006). Productivity growth of East Asia economies’ manufacturing: a decomposition analysis. Journal of Development Studies, 43(4), pp 649-674.
Meeusen, W., & van den Broeck J. (1977). Efficiency estimation from Cobb–Douglas production functions with composed error; International Economic Review, 18: 435–444.
Nishimizu, M., & Page J. M. (1982). Total factor productivity growth, technological progress and technical efficiency change: dimensions of productivity change in Yugoslavia, 1965-78. Economic Journal, 92, pp 920-936.
Pires, J. O., & Garcia, F. (2004). Productivity of Nation: A Stochastic Frontier Approach to TFP Decomposition. Economia Rev, 143.
Rath, BN & Madheswaran, S. (2004). Productivity growth of Indian manufacturing sector: Panel estimation of stochastic production frontier and technical inefficiency. In Econometric Society 2004 Far Eastern Meetings (No. 527). Econometric Society.
Salinas Jimenez, J., & Salinas Jimenez, M. (2007). Corruption, Efficiency and Productivity in OECD Countries; Journal of Policy Modeling, 29 (6): 903-915.
Shahabadi, A. (2010). The role of total factor productivity growth in the Non-oil sector growth of the Iranian economy; journal of knowledge and development, 18(31), p 1-28.
Sharma, K. R., P. S. Leung & Zaleski, H. M. (1997). Productive efficiency of the swine industry in Hawai`i: stochastic frontier vs. data envelopment analysis. Journal of Productivity Analysis, 8: 447-459.
Silva, T.De. (2001). Measuring Total Factor Productivity Philippine. Asian productivity organization, pp 145-166.
Soltane Bassem, B. (2014). Total factor productivity change of MENA microfinance institutions: A Malmquist productivity index approach. Economic Modeling, 39, 182-189.
StataCorp ( 2009). Stata: Release 11. Statistical Software. College Station, Texas 77845. StataCorp LP.
Taskin, F., & Zaim, O. (1997). Catching-up Innovation in High and Low Income- Countries. Economic Letters 54, no. 1, 93-100.
Van der Eng, P. (2009). Total factor productivity and economic growth in Indonesia, Working papers in trade and Development, working paper No. 2009/0.
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