Impact of Energy Subsidies Elimination on Technology Gap Ratio in Cucumber Production
الموضوعات :رضا اسفنجاری کناری 1 , زهره کرمی 2 , سیده صدیقه احمدزاده 3
1 - استادیار گروه اقتصاد کشاورزی دانشکده کشاورزی دانشگاه گیلان
2 - کارشناسی ارشد اقتصاد کشاورزی دانشگاه شیراز
3 - دانشجوی دکتری اقتصاد کشاورزی، دانشگاه علوم کشاورزی و منابع طبیعی ساری
الکلمات المفتاحية: stochastic frontier analysis, Fars, Metafrontier, translog function,
ملخص المقالة :
This paper presents an analysis of technical efficiency andtechnology gap ratio (TGR) in greenhouse cucumber inFars Province, Iran. Cucumber production was chosen for thisstudy for the reason that greenhouse productions in this provincemainly have focused on this product. The data used in thisstudy was obtained from a random sample of 127 greenhouses in Fars Province for 2010 to 2011. Metafrontier productionfunction model for firms was used within the parametric frameworkof stochastic frontier analysis (SFA). The frontier modelsare applied in the analysis of cross-sectional data by assuminga translog functional form. Results indicate that eliminatingenergy input subsidies has led to significant decrease in greenhousecucumber production efficiency so that the mean technicalefficiency declined from 98% to 67 % during 2010-2011. Furthermore,subsidies elimination has also led to decrease of themean technology gap ratio in greenhouses from 0.92 to 0.87,in other words, it has caused more distance from efficient productionfrontier.
Aigner, D. J., Lovell, D., & Schmidt, p. (1977). Formulation and estimation of stochastic frontier production function models. Journal of Econometrics, 6 (1), 21-37.
Battese, G. E., & Coelli, T. (1995). A model for technical inefficiency effects in a stochastic frontier production function for panel data. Empirical Economics, 20 (2), 325-332.
Battese, G. E., & Coelli, T. J. (1992). Frontier production functions, technical efficiency and panel data with application to paddy farmers in India. Journal of Productivity Analysis, 3 (1), 153-169.
Battese, G.E., Rao, D.S.P., & O’Donnell, C. (2004). A metafrontier production function for estimation of technical efficiencies and technology gaps for firms operating under different technologies. Journal of Business Economics, 21 (1), 91-103.
Battese, G. Malik, SJ., & Broca, S. (1993). Production functions for wheat farmers in selected districts of Pakistan: an application of a stochastic frontier production function with time-varying inefficiency effects. Pakistan Development Review, 32 (2), 233-268.
Battese, J., & Rao, D. S. P. (2002). Technology gap, efficiency and stochastic metafrontier function. Journal of Business Economics, 1 (2), 87-93.
Coelli, T.J. (1996). A guide to FRONTIER version 4.1: A computer program for stochastic frontier production and cost function estimation. CEPA Working Papers(No. 7/96), Department of econometrics, University of New England, Armadale.
Kumbhakar, S.C. (2002). Specification and estimation of production risk, risk preferences and technical efficiency. American Journal of Agricultural Economics, 84 (1), 8-22.
Meeusen, W., & Van Den Broak, J. (1977). Efficiency estimation cobb-douglas production function with composed error.Journal of International Economics, 18 (2), 435-444.
Mehrabi Boshrabadi, H., Villano, R., & Fleming, E. (2008). Technical efficiency and environmental-technological gaps in wheat production in Kerman province of Iran: A meta-frontier analysis. Journal of Agricultural Economics, 38 (1), 67-76.
Ministry of Jihad-e-Agriculture (2010). Cultivation and production Database, Agricultural Crops Information. Retrieved from http://www.dbagri.maj.ir/Zrt/year.
Moreira, V. H., & Bravo-Ureta, B. E. (2010). Technical efficiency and metatechnology ratios for dairy farms in three southern cone countries: A stochastic metafronitier model. Journal of Productivity Analysis, 33 (1), 33-45.
Monjezi, N., & M.J. Sheikhdavoodi. (2011).Energy use pattern and optimization of energy consumption for greenhouse cucumber production in Iran using Data Envelopment Analysis (DEA). Modern Applied Science, 5,139-150.
O,Donnell, C., Battese, G., & Rao, D. S. P. (2005). Metafrontier frameworks for the study of firm-level efficiencies and technology ratios. Unpublished paper, Centre for Efficiency and Productivity Analysis, University of Queensland, Brisbane.
Omid, M., Ghojabeige, F., Delshad, M., & Ahmadi, H. (2010). Energy use pattern and benchmarking of selected greenhouses in Iran using data envelopment analysis. Energy Conversion and Management, 52, 153-162.
Pitt, M., & Lee, L. F. (1981). The Measurement of Sources of Technical Inefficiency in the Indonesian Weavig Industry. Journal of Development Economics, 9 (1), 43-64.
Taki, M., Ajabshirchi, Y., & Mahmoudi, A. (2012). Prediction of output energy for wheat production using artificial neural networks in Esfahan province of Iran. Journal of Agricultural Technology 8(4), 1229-1242.
Villano, R., Mehrabi Boshrabadi, H., & Fleming, E. (2010). When is Metafrontier Analysis Appropriate, An Example of Varietal Differences in Pistachio Production in Iran. Journal of Agricultural Science and Technology, 12,379-389.