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The impact of high value markets on smallholder productivity in the Ecuadorean Sierra: A Stochastic Production Frontier approach correcting for selectivity bias

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  • González-Flores, Mario
  • Bravo-Ureta, Boris E.
  • Solís, Daniel
  • Winters, Paul

Abstract

This paper uses data from small-scale potato farmers in Ecuador to examine the impact of the program Plataformas de Concertación on productivity growth. Using propensity score matching combined with a Stochastic Production Frontier model that corrects for sample selection bias, we disaggregate the yield growth attributable to the program into technological change (TC) and technical efficiency (TE). While the results do not exhibit a clear indication of selection bias, the analysis does show that on average beneficiaries exhibit higher yields than control farmers given the same input levels, but lower TE with respect to their own frontiers. These results suggest that while the program raised the technology gap in favor of beneficiaries, it had a negative effect on TE in the short run. The latter finding is consistent with the notion that beneficiaries enjoyed a significant change in production techniques, but it is very likely that they were still in the “learning by doing” stages at the time the data was collected. In fact, the results suggest a fast recovery in TE levels on the part of beneficiaries as time with project increased.

Suggested Citation

  • González-Flores, Mario & Bravo-Ureta, Boris E. & Solís, Daniel & Winters, Paul, 2014. "The impact of high value markets on smallholder productivity in the Ecuadorean Sierra: A Stochastic Production Frontier approach correcting for selectivity bias," Food Policy, Elsevier, vol. 44(C), pages 237-247.
  • Handle: RePEc:eee:jfpoli:v:44:y:2014:i:c:p:237-247
    DOI: 10.1016/j.foodpol.2013.09.014
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    1. Fried, Harold O. & Lovell, C. A. Knox & Schmidt, Shelton S. (ed.), 2008. "The Measurement of Productive Efficiency and Productivity Growth," OUP Catalogue, Oxford University Press, number 9780195183528, Decembrie.
    2. Marco Caliendo & Sabine Kopeinig, 2008. "Some Practical Guidance For The Implementation Of Propensity Score Matching," Journal of Economic Surveys, Wiley Blackwell, vol. 22(1), pages 31-72, February.
    3. Duflo, Esther & Glennerster, Rachel & Kremer, Michael, 2008. "Using Randomization in Development Economics Research: A Toolkit," Handbook of Development Economics, in: T. Paul Schultz & John A. Strauss (ed.), Handbook of Development Economics, edition 1, volume 4, chapter 61, pages 3895-3962, Elsevier.
    4. 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.
    5. Devaux, André & Horton, Douglas & Velasco, Claudio & Thiele, Graham & López, Gastón & Bernet, Thomas & Reinoso, Iván & Ordinola, Miguel, 2009. "Collective action for market chain innovation in the Andes," Food Policy, Elsevier, vol. 34(1), pages 31-38, February.
    6. Alberto Abadie & Guido W. Imbens, 2002. "Simple and Bias-Corrected Matching Estimators for Average Treatment Effects," NBER Technical Working Papers 0283, National Bureau of Economic Research, Inc.
    7. Pedro Cerdán-Infantes & Alessandro Maffioli & Diego Ubfal, 2008. "The Impact of Agricultural Extension Services: The Case of Grape Production in Argentina," OVE Working Papers 0508, Inter-American Development Bank, Office of Evaluation and Oversight (OVE).
    8. 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.
    9. Judy L. Baker, 2000. "Evaluating the Impact of Development Projects on Poverty : A Handbook for Practitioners," World Bank Publications - Books, The World Bank Group, number 13949, December.
    10. Wollni, Meike & Brümmer, Bernhard, 2012. "Productive efficiency of specialty and conventional coffee farmers in Costa Rica: Accounting for technological heterogeneity and self-selection," Food Policy, Elsevier, vol. 37(1), pages 67-76.
    11. Solis, Daniel & Bravo-Ureta, Boris E. & Quiroga, Ricardo E., 2007. "Soil conservation and technical efficiency among hillside farmers in Central America: a switching regression model," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 51(4), pages 1-20.
    12. Christopher B. Barrett & Michael R. Carter, 2010. "The Power and Pitfalls of Experiments in Development Economics: Some Non-random Reflections," Applied Economic Perspectives and Policy, Agricultural and Applied Economics Association, vol. 32(4), pages 515-548.
    13. Paul Winters & Lina Salazar & Alessandro Maffioli, 2010. "Designing Impact Evaluations for Agricultural Projects," SPD Working Papers 1007, Inter-American Development Bank, Office of Strategic Planning and Development Effectiveness (SPD).
    14. Heckman, James, 2013. "Sample selection bias as a specification error," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 31(3), pages 129-137.
    15. Romina Cavatassi & Mario González & Paul Winters & Jorge Andrade-Piedra & Graham Thiele & Patricio Espinosa, 2009. "Linking Smallholders to the New Agricultural Economy: An Evaluation of the Plataformas Program in Ecuador," Working Papers 09-06, Agricultural and Development Economics Division of the Food and Agriculture Organization of the United Nations (FAO - ESA).
    16. Jondrow, James & Knox Lovell, C. A. & Materov, Ivan S. & Schmidt, Peter, 1982. "On the estimation of technical inefficiency in the stochastic frontier production function model," Journal of Econometrics, Elsevier, vol. 19(2-3), pages 233-238, August.
    17. William Greene, 2010. "A stochastic frontier model with correction for sample selection," Journal of Productivity Analysis, Springer, vol. 34(1), pages 15-24, August.
    18. Sanzidur Rahman & Aree Wiboonpongse & Songsak Sriboonchitta & Yaovarate Chaovanapoonphol, 2009. "Production Efficiency of Jasmine Rice Producers in Northern and North‐eastern Thailand," Journal of Agricultural Economics, Wiley Blackwell, vol. 60(2), pages 419-435, June.
    19. Sipilainen, Timo & Oude Lansink, Alfons G.J.M., 2005. "Learning in Organic Farming - An Application on Finnish Dairy Farms," 2005 International Congress, August 23-27, 2005, Copenhagen, Denmark 24493, European Association of Agricultural Economists.
    20. Schultz, Theodore W, 1975. "The Value of the Ability to Deal with Disequilibria," Journal of Economic Literature, American Economic Association, vol. 13(3), pages 827-846, September.
    21. repec:zwi:journl:v:43:y:2012:i:1:p:55-72 is not listed on IDEAS
    22. Paul Winters & Alessandro Maffioli & Lina Salazar, 2011. "Introduction to the Special Feature: Evaluating the Impact of Agricultural Projects in Developing Countries," Journal of Agricultural Economics, Wiley Blackwell, vol. 62(2), pages 393-402, June.
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