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Technical Change, Land Quality, and Income Distribution: A General Equilibrium Analysis

Author

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  • Ian A. Coxhead
  • Peter G. Warr
  • John Crawford

Abstract

This paper investigates the distributional effects of technical progress in agriculture. A small computable general equilibrium model is developed in which agricultural production occurs in two environments with fixed land resources of different quality. The analytical structure permits not only the rate but also the factor biases of technical change to differ between environments. Distributional results are generated for several classes of households distinguished both by their ownership of factors and by their consumption patterns. The results demonstrate that technical change produces distributional outcomes which are highly sensitive to its factor biases and to prior differences in land quality.

Suggested Citation

  • Ian A. Coxhead & Peter G. Warr & John Crawford, 1991. "Technical Change, Land Quality, and Income Distribution: A General Equilibrium Analysis," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 73(2), pages 345-360.
  • Handle: RePEc:oup:ajagec:v:73:y:1991:i:2:p:345-360.
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    File URL: http://hdl.handle.net/10.2307/1242719
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    Cited by:

    1. Esmedekh Lkhanaajav, 2016. "CoPS-style CGE modelling and analysis," Centre of Policy Studies/IMPACT Centre Working Papers g-264, Victoria University, Centre of Policy Studies/IMPACT Centre.
    2. Erickson, Kenneth W. & Moss, Charles B. & Mishra, Ashok K., 2002. "The Measurement Of Inequality In Canadian And U.S. Agricultural Income By Components Of Net Value Added," 2002 Annual meeting, July 28-31, Long Beach, CA 19866, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    3. David W. Marcouiller & Dean F. Schreiner & David K. Lewis, 1996. "The Impact Of Forest Land Use On Regional Value Added," The Review of Regional Studies, Southern Regional Science Association, vol. 26(2), pages 211-233, Fall.

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