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A Nonparametric Analysis of the Influence of Research on Agricultural Productivity

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  • Jean-Paul Chavas
  • Thomas L. Cox

Abstract

Nonparametric productivity analysis is extended by modeling technical progress as a function of public and private research expenditures. Results indicate that 30-year lags are required to fully capture the effects of public research expenditures on U.S. agricultural productivity. Compared to public research, private research has a stronger influence on farm productivity in the short term but a smaller influence in the longer term. The internal rate of return is 0.28 for public research and 0.17 for private research.

Suggested Citation

  • Jean-Paul Chavas & Thomas L. Cox, 1992. "A Nonparametric Analysis of the Influence of Research on Agricultural Productivity," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 74(3), pages 583-591.
    • Handle: RePEc:oup:ajagec:v:74:y:1992:i:3:p:583-591.
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