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Metafrontier Functions for the Study of Inter-regional Productivity Differences

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Abstract

The paper uses the concept of metafrontier functions to study regional differences in production technologies. The paper has three components. The first deals with the analytical framework necessary for the definition of metafrontier functions. The second component studies the properties of the metafrontier estimated using nonparametric data envelopment analysis (DEA). The third component focuses on the estimation of metafrontiers within the parametric framework of stochastic frontier analysis (SFA). The empirical application of the models uses cross-country agricultural sector data. The DEA and SFA metafrontiers are presented and discussed.

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File URL: http://www.uq.edu.au/economics/cepa/docs/WP/WP012003.pdf
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Bibliographic Info

Paper provided by School of Economics, University of Queensland, Australia in its series CEPA Working Papers Series with number WP012003.

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Date of creation: Sep 2003
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Handle: RePEc:qld:uqcepa:01

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  1. Hayami, Yujiro & Ruttan, Vernon W, 1970. "Agricultural Productivity Differences Among Countries," American Economic Review, American Economic Association, vol. 60(5), pages 895-911, December.
  2. Battese, G E & Coelli, T J, 1995. "A Model for Technical Inefficiency Effects in a Stochastic Frontier Production Function for Panel Data," Empirical Economics, Springer, vol. 20(2), pages 325-32.
  3. George E. Battese & D. S. Prasada Rao, 2002. "Technology Gap, Efficiency, and a Stochastic Metafrontier Function," International Journal of Business and Economics, College of Business, and College of Finance, Feng Chia University, Taichung, Taiwan, vol. 1(2), pages 87-93, August.
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Cited by:
  1. Nkamleu, Guy Blaise, 2007. "Religious faith and agricultural growth: exploring some correlations in Africa," MPRA Paper 11131, University Library of Munich, Germany, revised 2007.
  2. Anup Kumar Bhandari & Subhash C. Ray, 2007. "Technical Efficiency in the Indian Textiles Industry: A Nonparametric Analysis of Firm-Level Data," Working papers 2007-49, University of Connecticut, Department of Economics.
  3. Huang, Yi-Ju & Chen, Ku-Hsieh & Yang, Chih-Hai, 2010. "Cost efficiency and optimal scale of electricity distribution firms in Taiwan: An application of metafrontier analysis," Energy Economics, Elsevier, vol. 32(1), pages 15-23, January.
  4. Nkamleu, Guy Blaise & Nyemeck, Joachim & Sanogo, Diakalia, 2006. "Metafrontier Analysis of Technology Gap and Productivity Difference in African Agriculture," MPRA Paper 15103, University Library of Munich, Germany.
  5. Astrid Cullmann & Christian Hirschhausen, 2008. "Efficiency analysis of East European electricity distribution in transition: legacy of the past?," Journal of Productivity Analysis, Springer, vol. 29(2), pages 155-167, April.
  6. Mbuvi, Dorcas & Tarsim, Achraf, 2011. "Managerial ownership and urban water utilities efficiency in Uganda," UNU-MERIT Working Paper Series 036, United Nations University, Maastricht Economic and social Research and training centre on Innovation and Technology.
  7. Nkamleu, Guy Blaise & Sylla, Kalilou & Zonon, Abdoulaye, 2008. "What accounts for growth in African agriculture," MPRA Paper 11102, University Library of Munich, Germany, revised 2008.
  8. Kontolaimou, Alexandra & Tsekouras, Kostas, 2010. "Are cooperatives the weakest link in European banking? A non-parametric metafrontier approach," Journal of Banking & Finance, Elsevier, vol. 34(8), pages 1946-1957, August.
  9. Nadia BELHAJ HASSINE, 2007. "Technical Efficiency In The Mediterranean Countries’ Agricultural Sector," Region et Developpement, Region et Developpement, LEAD, Universite du Sud - Toulon Var, vol. 25, pages 27-44.

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