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Is participatory social learning a performance driver for Chinese smallholder farmers?


  • Huanxiu Guo

    (CERDI - Centre d'Études et de Recherches sur le Développement International - UdA - Université d'Auvergne - Clermont-Ferrand I - CNRS - Centre National de la Recherche Scientifique)

  • Sébastien Marchand

    (CERDI - Centre d'Études et de Recherches sur le Développement International - UdA - Université d'Auvergne - Clermont-Ferrand I - CNRS - Centre National de la Recherche Scientifique)


This paper aims to test the effect of smallholder farmers' participatory social learning on their gain of performance in a village of southwest China. By exploring a panel structure survey data collected in the village, we identify the social learning effect using a Spatial Autoregressive (SAR) model. Particularly, we calculate the technical efficiency and environmental efficiency from a SFA model and use them as dependent variables of the model. Moreover, we investigate the social learning of different technologies, i.e., conventional and organic farming, by separating the estimations. Our identification results suggest that the effect of social learning is weak due to the technological heterogeneity in the general case, whilst it is significantly positive for organized organic farming. However, it appears that farmers learn to improve their economic performance (i.e., maximize yield) rather than environmental performance (i.e., minimize environmentally detrimental input). These results reveal a critical limitation of social learning, and demand more environmental orientation in the agricultural extension service, which is expected to guide smallholder farmers and foster their environmental performance for sustainable agricultural development.

Suggested Citation

  • Huanxiu Guo & Sébastien Marchand, 2013. "Is participatory social learning a performance driver for Chinese smallholder farmers?," Working Papers halshs-00878886, HAL.
  • Handle: RePEc:hal:wpaper:halshs-00878886
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    References listed on IDEAS

    1. Romer, Paul M, 1986. "Increasing Returns and Long-run Growth," Journal of Political Economy, University of Chicago Press, vol. 94(5), pages 1002-1037, October.
    2. Brock, William A. & Durlauf, Steven N., 2001. "Interactions-based models," Handbook of Econometrics,in: J.J. Heckman & E.E. Leamer (ed.), Handbook of Econometrics, edition 1, volume 5, chapter 54, pages 3297-3380 Elsevier.
    3. Jovanovic, Boyan & Nyarko, Yaw, 1996. "Learning by Doing and the Choice of Technology," Econometrica, Econometric Society, vol. 64(6), pages 1299-1310, November.
    4. Timothy Conley & Udry Christopher, 2001. "Social Learning Through Networks: The Adoption of New Agricultural Technologies in Ghana," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 83(3), pages 668-673.
    5. Timothy G. Conley & Christopher R. Udry, 2010. "Learning about a New Technology: Pineapple in Ghana," American Economic Review, American Economic Association, vol. 100(1), pages 35-69, March.
    6. Michael Lipton, 2006. "Can Small Farmers Survive, Prosper, or be the Key Channel to Cut Mass Poverty?," The Electronic Journal of Agricultural and Development Economics, Food and Agriculture Organization of the United Nations, vol. 3(1), pages 58-85.
    7. Foster, Andrew D & Rosenzweig, Mark R, 1995. "Learning by Doing and Learning from Others: Human Capital and Technical Change in Agriculture," Journal of Political Economy, University of Chicago Press, vol. 103(6), pages 1176-1209, December.
    8. Oriana Bandiera & Imran Rasul, 2006. "Social Networks and Technology Adoption in Northern Mozambique," Economic Journal, Royal Economic Society, vol. 116(514), pages 869-902, October.
    9. Swinton, Scott M. & Lupi, Frank & Robertson, G. Philip & Hamilton, Stephen K., 2007. "Ecosystem services and agriculture: Cultivating agricultural ecosystems for diverse benefits," Ecological Economics, Elsevier, vol. 64(2), pages 245-252, December.
    10. Besley, T. & Case, A., 1994. "Diffusion as a Learning Process: Evidence from HYV Cotton," Papers 174, Princeton, Woodrow Wilson School - Development Studies.
    11. Alan de Brauw & Jikun Huang & Linxiu Zhang & Scott Rozelle, 2013. "The Feminisation of Agriculture with Chinese Characteristics," Journal of Development Studies, Taylor & Francis Journals, vol. 49(5), pages 689-704, May.
    12. Ellison, Glenn & Fudenberg, Drew, 1993. "Rules of Thumb for Social Learning," Journal of Political Economy, University of Chicago Press, vol. 101(4), pages 612-643, August.
    13. Van den Berg, Henk & Jiggins, Janice, 2007. "Investing in Farmers--The Impacts of Farmer Field Schools in Relation to Integrated Pest Management," World Development, Elsevier, vol. 35(4), pages 663-686, April.
    14. Godtland, Erin M & Sadoulet, Elisabeth & De Janvry, Alain & Murgai, Rinku & Ortiz, Oscar, 2004. "The Impact of Farmer Field Schools on Knowledge and Productivity: A Study of Potato Farmers in the Peruvian Andes," Economic Development and Cultural Change, University of Chicago Press, vol. 53(1), pages 63-92, October.
    15. Robert Wilson, 1975. "Informational Economies of Scale," Bell Journal of Economics, The RAND Corporation, vol. 6(1), pages 184-195, Spring.
    16. Shenggen Fan & Connie Chan-Kang, 2005. "Is small beautiful? Farm size, productivity, and poverty in Asian agriculture," Agricultural Economics, International Association of Agricultural Economists, vol. 32(s1), pages 135-146, January.
    17. repec:pri:rpdevs:besley_case_diffusion is not listed on IDEAS
    18. Raghbendra Jha & Puneet Chitkara & Santanu Gupta, 2000. "Productivity, technical and allocative efficiency and farm size in wheat farming in India: a DEA approach," Applied Economics Letters, Taylor & Francis Journals, vol. 7(1), pages 1-5.
    19. Pretty, Jules N., 1995. "Participatory learning for sustainable agriculture," World Development, Elsevier, vol. 23(8), pages 1247-1263, August.
    20. Huanxiu GUO & Mary-Françoise RENARD, 2013. "Social activity and collective action for agricultural innovation: a case study of New Rural Reconstruction in China," Working Papers 201306, CERDI.
    21. Lee, Lung-fei, 2007. "Identification and estimation of econometric models with group interactions, contextual factors and fixed effects," Journal of Econometrics, Elsevier, vol. 140(2), pages 333-374, October.
    22. Jin, Songqing & Huang, Jikun & Rozelle, Scott, 2009. "The Production Performance of China's Transforming Agriculture," Choices, Agricultural and Applied Economics Association, vol. 24(4).
    23. Fang Cai & Meiyan Wang, 2008. "A Counterfactual Analysis on Unlimited Surplus Labor in Rural China," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 16(1), pages 51-65.
    24. 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 435-444, June.
    25. H. Peyton Young, 2009. "Innovation Diffusion in Heterogeneous Populations: Contagion, Social Influence, and Social Learning," American Economic Review, American Economic Association, vol. 99(5), pages 1899-1924, December.
    26. repec:pri:rpdevs:besley_case_diffusion.pdf is not listed on IDEAS
    27. Munshi, Kaivan, 2004. "Social learning in a heterogeneous population: technology diffusion in the Indian Green Revolution," Journal of Development Economics, Elsevier, vol. 73(1), pages 185-213, February.
    28. Mary-Françoise Renard & Huanxiu Guo, 2013. "Social activity and collective action for agricultural innovation: a case study of New Rural Reconstruction in China," Working Papers halshs-00802119, HAL.
    29. Diewert, W E, 1971. "An Application of the Shephard Duality Theorem: A Generalized Leontief Production Function," Journal of Political Economy, University of Chicago Press, vol. 79(3), pages 481-507, May-June.
    30. Stijn Reinhard & C.A. Knox Lovell & Geert Thijssen, 1999. "Econometric Estimation of Technical and Environmental Efficiency: An Application to Dutch Dairy Farms," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 81(1), pages 44-60.
    31. Jikun Huang & Ruifa Hu & Scott Rozelle, 2004. "China's Agricultural Research System and Reforms: Challenges and Implications for Developing Countries," Asian Journal of Agriculture and Development, Southeast Asian Regional Center for Graduate Study and Research in Agriculture (SEARCA), vol. 1(1), pages 107-123, June.
    32. Heltberg, Rasmus, 1998. "Rural market imperfections and the farm size-- productivity relationship: Evidence from Pakistan," World Development, Elsevier, vol. 26(10), pages 1807-1826, October.
    33. 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.
    34. Feder, Gershon, 1985. "The relation between farm size and farm productivity : The role of family labor, supervision and credit constraints," Journal of Development Economics, Elsevier, vol. 18(2-3), pages 297-313, August.
    35. Gershon Feder & Rinku Murgai & Jaime B. Quizon, 2004. "The Acquisition and Diffusion of Knowledge: The Case of Pest Management Training in Farmer Field Schools, Indonesia," Journal of Agricultural Economics, Wiley Blackwell, vol. 55(2), pages 221-243.
    36. Lucas, Robert Jr., 1988. "On the mechanics of economic development," Journal of Monetary Economics, Elsevier, vol. 22(1), pages 3-42, July.
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    China; Smallholder farming; Social learning; Organic farming; Technical efficiency; Environmental efficiency; China.;

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