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Understanding Science and Policy Making in Agriculture: A Machine Learning Application for India

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  • SJ, Balaji
  • Babu, Suresh Chandra
  • Pal, Suresh

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  • SJ, Balaji & Babu, Suresh Chandra & Pal, Suresh, 2021. "Understanding Science and Policy Making in Agriculture: A Machine Learning Application for India," 2021 Conference, August 17-31, 2021, Virtual 315227, International Association of Agricultural Economists.
    • Handle: RePEc:ags:iaae21:315227
    DOI: 10.22004/ag.econ.315227
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    4. Alston, Julian M. & Wyatt, T. J. & Pardey, Philip G. & Marra, Michele C. & Chan-Kang, Connie, 2000. "A meta-analysis of rates of return to agricultural R & D: ex pede Herculem?," Research reports 113, International Food Policy Research Institute (IFPRI).
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    6. Helmut K. Anheier, 2019. "On the Future of the Public Policy School," Global Policy, London School of Economics and Political Science, vol. 10(1), pages 75-83, February.
    7. Evenson, Robert E. & Pray, Carl E. & Rosegrant, Mark W., 1999. "Agricultural research and productivity growth in India:," Research reports 109, International Food Policy Research Institute (IFPRI).
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    Keywords

    Agricultural and Food Policy; Research and Development/Tech Change/Emerging Technologies;

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