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Technical Efficiency among Peasant Farmers Participating in Natural Resource Management Programmes in Central America

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  • Daniel Solís
  • Boris E. Bravo-Ureta
  • Ricardo E. Quiroga

Abstract

This study examines the extent to which technical efficiency (TE) is related to activities promoted by two natural resource management programmes recently completed in Central America. Data for a total of 639 farms operating in the hillsides of El Salvador and Honduras are used to estimate a household-level input-oriented stochastic distance frontier simultaneously with a TE effects model. The main finding of this study is that improvements in TE are financially beneficial to farm households while also contributing to environmental sustainability. The results also reveal a positive association between productivity and output diversification, and a positive relationship between TE and off-farm income, human capital and agricultural extension. Copyright (c) 2008 The Authors. Journal compilation (c) 2008 The Agricultural Economics Society.

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Bibliographic Info

Article provided by Wiley Blackwell in its journal Journal of Agricultural Economics.

Volume (Year): 60 (2009)
Issue (Month): 1 ()
Pages: 202-219

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Handle: RePEc:bla:jageco:v:60:y:2009:i:1:p:202-219

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Web page: http://www.blackwellpublishing.com/journal.asp?ref=0021-857X

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Cited by:
  1. Picazo-Tadeo, Andrés J. & Beltrán-Esteve, Mercedes & Gómez-Limón, José A., 2012. "Assessing eco-efficiency with directional distance functions," European Journal of Operational Research, Elsevier, vol. 220(3), pages 798-809.
  2. Peralta, M. Alexandra & Swinton, Scott M., 2013. "Impact Assessment with Opt-in Treatments: Evidence from a rural development project in Nicaragua," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 150988, Agricultural and Applied Economics Association.
  3. Mercedes Beltrán-Esteve & José Gómez-Limón & Andrés Picazo-Tadeo & Ernest Reig-Martínez, 2014. "A metafrontier directional distance function approach to assessing eco-efficiency," Journal of Productivity Analysis, Springer, vol. 41(1), pages 69-83, February.
  4. José A. Gómez-Limón & Andrés J. Picazo-Tadeo & Ernest Reig-Martínez, 2011. "Eco-efficiency Assessment of Olive Farms in Andalusia," Working Papers 1105, Department of Applied Economics II, Universidad de Valencia.
  5. Egziabher, Kidanemariam G. & Mathijs, Erik & Deckers, Jozef A. & Gebrehiwot, Kindeya & Bauer, Hans & Maertens, Miet, 2013. "The Economic Impact of a New Rural Extension Approach in Northern Ethiopia," Working Papers 146558, Katholieke Universiteit Leuven, Centre for Agricultural and Food Economics.
  6. Boris Bravo-Ureta & William Greene & Daniel Solís, 2012. "Technical efficiency analysis correcting for biases from observed and unobserved variables: an application to a natural resource management project," Empirical Economics, Springer, vol. 43(1), pages 55-72, August.
  7. Aye, Goodness C. & Mungatana, Eric D., 2010. "Technological Innovation and Efficiency in the Nigerian Maize Sector: Parametric Stochastic and Non-parametic Distance Function Approaches," 2010 AAAE Third Conference/AEASA 48th Conference, September 19-23, 2010, Cape Town, South Africa 95965, African Association of Agricultural Economists (AAAE) & Agricultural Economics Association of South Africa (AEASA).

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