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The Impact Of Conservation Tillage On The Productivity And Stability Of Maize Cropping Systems: A Case Study In Western Mexico

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  • Jourdain, Damien
  • Scopel, Eric
  • Affholder, Francois

Abstract

This paper examines the economics of introducing conservation tillage into maize cropping systems in the state of Jalisco, in the western part of Mexico. A stochastic cost-benefit analysis (SCBA) of introducing conservation tillage in two contrasting agro-climatic zones in the four main maize management systems in the area was carried out. The SCBA takes into account the effects of conservation tillage on average returns and fully evaluates its potential risk-reducing aspect. The SCBA results were then used for a stochastic dominance analysis to evaluate farmers' incentives, characterized by their aversion to risk. The analysis reveals that although conservation tillage is economically viable, cash-constrained farmers, especially in the dry areas, may not readily adopt it. This is because conservation tillage is not adapted to small-scale farmers in Mexico, who lack seeding equipment and need techniques that are less reliant on herbicides. It is suggested that more work should be done with the participation of farmers in the region to attain a conservation tillage system that is better adapted to their circumstances.

Suggested Citation

  • Jourdain, Damien & Scopel, Eric & Affholder, Francois, 2001. "The Impact Of Conservation Tillage On The Productivity And Stability Of Maize Cropping Systems: A Case Study In Western Mexico," Economics Working Papers 46549, CIMMYT: International Maize and Wheat Improvement Center.
  • Handle: RePEc:ags:cimmew:46549
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    References listed on IDEAS

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    1. Meyer, Jack, 1977. "Choice among distributions," Journal of Economic Theory, Elsevier, vol. 14(2), pages 326-336, April.
    2. Sain, Gustavo & Lopez-Pereira, Miguel A., 1999. "Maize Production and Agricultural Policies in Central America and Mexico," Economics Working Papers 7680, CIMMYT: International Maize and Wheat Improvement Center.
    3. Jones, C. A. & Dyke, P. T. & Williams, J. R. & Kiniry, J. R. & Benson, V. W. & Griggs, R. H., 1991. "EPIC: An operational model for evaluation of agricultural sustainability," Agricultural Systems, Elsevier, vol. 37(4), pages 341-350.
    4. Goh, Siew & Shih, Chao-Chyuan & Cochran, Mark J. & Raskin, Rob, 1989. "A Generalized Stochastic Dominance Program for the IBM PC," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 21(02), pages 175-182, December.
    5. Anderson, Jock R. & Feder, Gershon, 2007. "Agricultural Extension," Handbook of Agricultural Economics, Elsevier.
    6. Goh, Siew & Shih, Chao-Chyuan & Cochran, Mark J. & Raskin, Rob, 1989. "A Generalized Stochastic Dominance Program For The Ibm Pc," Southern Journal of Agricultural Economics, Southern Agricultural Economics Association, vol. 21(02), December.
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    Cited by:

    1. Naudin, K. & Bruelle, G. & Salgado, P. & Penot, E. & Scopel, E. & Lubbers, M. & de Ridder, N. & Giller, K.E., 2015. "Trade-offs around the use of biomass for livestock feed and soil cover in dairy farms in the Alaotra lake region of Madagascar," Agricultural Systems, Elsevier, vol. 134(C), pages 36-47.
    2. Hartkamp, A. D. & White, J. W. & Hoogenboom, G., 2003. "Comparison of three weather generators for crop modeling: a case study for subtropical environments," Agricultural Systems, Elsevier, vol. 76(2), pages 539-560, May.

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