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Analysis of the technical efficiency of state rubber farms in Vietnam

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  • Vo Hung Son, Tran
  • Coelli, Tim
  • Fleming, Euan

Abstract

This study entails an analysis of the technical efficiency of natural rubber production by state farms in Vietnam. A time-varying stochastic frontier production function model for unbalanced data is estimated for 33 farms. Individual farm technical efficiencies are reported and discussed. One of the main results concerns the bimodal distribution of technical efficiency indices. A few farms operate near the production frontier while the bulk operate well away from the frontier. Some implications are drawn from the results as a guide to future policy research work in the rubber industry in light of recent moves by the Vietnamese government towards economic reform.

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Bibliographic Info

Article provided by Blackwell in its journal Agricultural Economics.

Volume (Year): 9 (1993)
Issue (Month): 3 (September)
Pages: 183-201

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Handle: RePEc:eee:agecon:v:9:y:1993:i:3:p:183-201

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Web page: http://www.blackwell-synergy.com/loi/agec

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  1. Meeusen, Wim & van den Broeck, Julien, 1977. "Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 18(2), pages 435-44, June.
  2. Bauer, Paul W., 1990. "Recent developments in the econometric estimation of frontiers," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 39-56.
  3. Battese, George E. & Coelli, Tim J. & Colby, T.C., 1989. "Estimation of Frontier Production Functions and the Efficiencies of Indian Farms Using Panel Data from ICRISAT's Village Level Studies," 1989 Conference (33rd), February 7-9, 1989, Christchurch, New Zealand 144383, Australian Agricultural and Resource Economics Society.
  4. Pitt, Mark M. & Lee, Lung-Fei, 1981. "The measurement and sources of technical inefficiency in the Indonesian weaving industry," Journal of Development Economics, Elsevier, vol. 9(1), pages 43-64, August.
  5. Battese, George E. & Coelli, Tim J., 1988. "Prediction of firm-level technical efficiencies with a generalized frontier production function and panel data," Journal of Econometrics, Elsevier, vol. 38(3), pages 387-399, July.
  6. Battese, George E. & Corra, Greg S., 1977. "Estimation Of A Production Frontier Model: With Application To The Pastoral Zone Of Eastern Australia," Australian Journal of Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 21(03), December.
  7. Coelli, T. J., 1992. "A computer program for frontier production function estimation : Frontier version 2.0," Economics Letters, Elsevier, vol. 39(1), pages 29-32, May.
  8. George E. Battese & Greg S. Corra, 1977. "Estimation Of A Production Frontier Model: With Application To The Pastoral Zone Of Eastern Australia," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 21(3), pages 169-179, December.
  9. Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
  10. Stevenson, Rodney E., 1980. "Likelihood functions for generalized stochastic frontier estimation," Journal of Econometrics, Elsevier, vol. 13(1), pages 57-66, May.
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Cited by:
  1. Boris Bravo-Ureta & Daniel Solís & Víctor Moreira López & José Maripani & Abdourahmane Thiam & Teodoro Rivas, 2007. "Technical efficiency in farming: a meta-regression analysis," Journal of Productivity Analysis, Springer, vol. 27(1), pages 57-72, February.
  2. Coelli, T. J., 1995. "Recent Developments in Frontier Modelling and Efficiency Measurement," 1995 Conference (39th), February 14-16, 1995, Perth, Australia 148798, Australian Agricultural and Resource Economics Society.
  3. Karagiannis, Giannis & Midmore, Peter & Tzouvelekas, Vangelis, 1999. "Separating Technical Change From Time-Varying Technical Inefficiency In The Absence Of Distributional Assumptions," Miscellaneous Papers 11842, Agecon Search.
  4. Bayarsaihan, T. & Coelli, T. J., 2003. "Productivity growth in pre-1990 Mongolian agriculture: spiralling disaster or emerging success?," Agricultural Economics, Blackwell, vol. 28(2), pages 121-137, March.
  5. Ogunniyi, L.T. & Ajetomobi, Joshua Olusegun & Ajetomobi, Y.L., 2013. "Technical Efficiency of Cassava - Based Cropping in Oyo State of Nigeria," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 5(1), March.
  6. Ofori-Bah, Adeline & Asafu-Adjaye, John, 2011. "Scope economies and technical efficiency of cocoa agroforesty systems in Ghana," Ecological Economics, Elsevier, vol. 70(8), pages 1508-1518, June.
  7. Tijani, A.A., 2006. "Analysis of the technical efficiency of rice farms in Ijesha Land of Osun State, Nigeria," Agrekon, Agricultural Economics Association of South Africa (AEASA), vol. 45(2), June.

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