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Evaluating research and education performance in Indian agricultural development

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  • Nicholas Rada
  • David Schimmelpfennig

Abstract

India's agricultural research spending has long been regionally uneven. Regional research intensity ratios, which account for size differences, indicate research spending has consistently favored southern and western states over northern, central, and eastern ones. Farm production patterns have, however, changed in recent years and regional output growth is being driven by new commodity mixes. In this article, we ask which region had the highest factor productivity growth and rate of return to investments in public agricultural research and higher education. Our analysis relies on a 1980–2008 Indian agricultural production and policy data set together with a dual heteroscedastic production frontier to decompose total factor productivity (TFP) growth into formal technical progress and efficiency elements. The model's regional flexibility affords region†to†region comparison of multiple research return rates, TFP growth, and the elements influencing them. Regardless of return†rate measure or allocation scenario evaluated, the North has enjoyed the highest return to research spending, and the Central and East the lowest. Factor productivity growth has however been strongest in the South, primarily on account of efficiency gains. Overall, though, the technical progress and productivity growth easily attributable to government†supported research has accounted for about one†quarter of the sector's TFP growth.

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  • Nicholas Rada & David Schimmelpfennig, 2018. "Evaluating research and education performance in Indian agricultural development," Agricultural Economics, International Association of Agricultural Economists, vol. 49(3), pages 395-406, May.
  • Handle: RePEc:bla:agecon:v:49:y:2018:i:3:p:395-406
    DOI: 10.1111/agec.12424
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    3. Jianxu Liu & Changrui Dong & Shutong Liu & Sanzidur Rahman & Songsak Sriboonchitta, 2020. "Sources of Total-Factor Productivity and Efficiency Changes in China’s Agriculture," Agriculture, MDPI, vol. 10(7), pages 1-18, July.
    4. Hiroyuki Takeshima, 2019. "Geography of plant breeding systems, agroclimatic similarity, and agricultural productivity: evidence from Nigeria," Agricultural Economics, International Association of Agricultural Economists, vol. 50(1), pages 67-78, January.

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