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Whether crop diversification is a desired strategy for agricultural growth in Bangladesh?

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  • Rahman, Sanzidur

Abstract

This study aimed at examining the merit of crop diversification as a strategy for agricultural growth in Bangladesh. Specifically, the existence of economies of diversification, scale economies and diversification efficiencies at the farm level were examined using a stochastic input-distance function approach. The results reveal strong evidence of diversification economies amongst most crop enterprises except the combination of modern rice and modern wheat enterprises. Ray economies of scale exist in Bangladeshi cropping system. Also, significant are efficiency gains made from diversification among cropping enterprises. The key policy implication is that crop diversification should be a desired strategy for agricultural growth in Bangladesh. Development of the rural infrastructure is also essential as this will not only improve technical efficiency but may also synergistically promote crop diversification by opening up opportunities for technology diffusion, marketing, storage and resource supplies.

Suggested Citation

  • Rahman, Sanzidur, 2009. "Whether crop diversification is a desired strategy for agricultural growth in Bangladesh?," Food Policy, Elsevier, vol. 34(4), pages 340-349, August.
  • Handle: RePEc:eee:jfpoli:v:34:y:2009:i:4:p:340-349
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    More about this item

    Keywords

    Diversification economies Diversification efficiencies Stochastic input distance function Crop diversification Bangladesh;

    JEL classification:

    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • Q18 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agricultural Policy; Food Policy; Animal Welfare Policy
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models

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