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Impact of infestation by parasitic weeds on rice farmers’ productivity and technical efficiency in sub-Saharan Africa

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  • N'cho, Simon Akahoua
  • Mourits, Monique
  • Demont, Matty
  • Adegbola, Patrice Y.
  • Lansink, Alfons Oude

Abstract

Rice production is crucial for food security and income generation in sub-Saharan Africa. However, productivity and technical efficiency levels in rice production systems are severely constrained by biotic constraints such as parasitic weeds. This paper assesses the impact of infestation by parasitic weeds on rice farmers’ technical efficiency and examines the potential role of managerial factors in improving technical efficiency. Household and field survey data were collected from rice farmers in Cote d’Ivoire and Benin in West Africa. A stochastic frontier production function was estimated, which allows for identifying the levels of exogenous factors that prevent farmers from improving technical efficiency levels. The results suggest that farmers cope with parasitic weeds through learning from experiencing infestations by parasitic weed. The results will assist national extension in designing segmented training programmes that are better tailored to rice farmers’ needs and preventing food security from being jeopardised by parasitic weeds.

Suggested Citation

  • N'cho, Simon Akahoua & Mourits, Monique & Demont, Matty & Adegbola, Patrice Y. & Lansink, Alfons Oude, 2017. "Impact of infestation by parasitic weeds on rice farmers’ productivity and technical efficiency in sub-Saharan Africa," African Journal of Agricultural and Resource Economics, African Association of Agricultural Economists, vol. 12(1), March.
    • Handle: RePEc:ags:afjare:258598
    DOI: 10.22004/ag.econ.258598
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    1. Anil Bera & Subhash Sharma, 1999. "Estimating Production Uncertainty in Stochastic Frontier Production Function Models," Journal of Productivity Analysis, Springer, vol. 12(3), pages 187-210, November.
    2. Kumbhakar, Subal C. & Sun, Kai, 2013. "Derivation of marginal effects of determinants of technical inefficiency," Economics Letters, Elsevier, vol. 120(2), pages 249-253.
    3. Nakano, Yuko & Bamba, Ibrahim & Diagne, Aliou & Otsuka, Keijiro & Kajisa, Kei, 2011. "The possibility of a rice green revolution in large-scale irrigation schemes in Sub-Saharan Africa," Policy Research Working Paper Series 5560, The World Bank.
    4. Federico Belotti & Silvio Daidone & Giuseppe Ilardi & Vincenzo Atella, 2013. "Stochastic frontier analysis using Stata," Stata Journal, StataCorp LP, vol. 13(4), pages 718-758, December.
    5. Sherlund, Shane M. & Barrett, Christopher B. & Adesina, Akinwumi A., 2002. "Smallholder technical efficiency controlling for environmental production conditions," Journal of Development Economics, Elsevier, vol. 69(1), pages 85-101, October.
    6. 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.
    7. Martin van Ittersum & Ada Wossink, 2006. "Integrating Agronomic Principles into Production Function Specification: A Dichotomy of Growth Inputs and Facilitating Inputs," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 88(1), pages 203-214.
    8. Wilson, Paul & Hadley, David & Asby, Carol, 2001. "The influence of management characteristics on the technical efficiency of wheat farmers in eastern England," Agricultural Economics, Blackwell, vol. 24(3), pages 329-338, March.
    9. Hung-Jen Wang, 2002. "Heteroscedasticity and Non-Monotonic Efficiency Effects of a Stochastic Frontier Model," Journal of Productivity Analysis, Springer, vol. 18(3), pages 241-253, November.
    10. Stevenson, Rodney E., 1980. "Likelihood functions for generalized stochastic frontier estimation," Journal of Econometrics, Elsevier, vol. 13(1), pages 57-66, May.
    11. 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.
    12. Hung-jen Wang & Peter Schmidt, 2002. "One-Step and Two-Step Estimation of the Effects of Exogenous Variables on Technical Efficiency Levels," Journal of Productivity Analysis, Springer, vol. 18(2), pages 129-144, September.
    13. Chen, Adam Zhuo & Huffman, Wallace E. & Rozelle, Scott, 2003. "Technical Efficiency Of Chinese Grain Production: A Stochastic Production Frontier Approach," 2003 Annual meeting, July 27-30, Montreal, Canada 22116, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    14. Demont, Matty & Jouve, Philippe & Stessens, Johan & Tollens, Eric, 2007. "Boserup versus Malthus revisited: Evolution of farming systems in northern Cote d'Ivoire," Agricultural Systems, Elsevier, vol. 93(1-3), pages 215-228, March.
    15. Carin W. Rougoor & Ger Trip & Ruud B.M. Huirnc & Jan A. Renkema, 1998. "How to define and study farmers' management capacity: theory and use in agricultural economics," Agricultural Economics, International Association of Agricultural Economists, vol. 18(3), pages 261-272, May.
    16. Asfaw, Abay & Admassie, Assefa, 2004. "The role of education on the adoption of chemical fertiliser under different socioeconomic environments in Ethiopia," Agricultural Economics, Blackwell, vol. 30(3), pages 215-228, May.
    17. 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 325-332.
    18. N’cho, Simon Akahoua & Mourits, Monique & Rodenburg, Jonne & Demont, Matty & Oude Lansink, Alfons, 2014. "Determinants of parasitic weed infestation in rainfed lowland rice in Benin," Agricultural Systems, Elsevier, vol. 130(C), pages 105-115.
    19. Martine Audibert, 1997. "Technical Inefficiency Effects Among Paddy Farmers in the Villages of the ‘Office du Niger’, Mali, West Africa," Journal of Productivity Analysis, Springer, vol. 8(4), pages 379-394, November.
    20. Rougoor, Carin W. & Trip, Ger & Huirne, Ruud B. M. & Renkema, Jan A., 1998. "How to define and study farmers' management capacity: theory and use in agricultural economics," Agricultural Economics, Blackwell, vol. 18(3), pages 261-272, May.
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