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Public R&D, Private R&D, and U.S. Agricultural Productivity Growth: Dynamic and Long-Run Relationships

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  • Sun Ling Wang
  • Paul W. Heisey
  • Wallace E. Huffman
  • Keith O. Fuglie

Abstract

If accelerated productivity growth is to be an effective policy response for reducing greenhouse gas emissions from agriculture, the appropriate means for raising productivity needs to be addressed. Previous research has shown a close correlation between investments in public agricultural research and total factor productivity (TFP) growth in agriculture (Huffman and Evenson 2006; Alston et al. 2010; Wang et al. 2012, among the most recent, comprehensive studies). Largely neglected from this framework, however, has been the role of the private sector. Private sector spending on agricultural research and development (R&D) has grown more rapidly than public agricultural R&D and is now greater than that of the public sector (Fuglie et al. 2011). While it is widely perceived that both public and private R&D make significant contributions to agricultural productivity growth, private R&D (because of data limitations) has rarely been included in empirical models of agricultural TFP growth.
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Suggested Citation

  • Sun Ling Wang & Paul W. Heisey & Wallace E. Huffman & Keith O. Fuglie, 2013. "Public R&D, Private R&D, and U.S. Agricultural Productivity Growth: Dynamic and Long-Run Relationships," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 95(5), pages 1287-1293.
    • Handle: RePEc:oup:ajagec:v:95:y:2013:i:5:p:1287-1293
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    1. repec:oup:apecpp:v:40:y:2018:i:3:p:421-444. is not listed on IDEAS
    2. Viaggi, Davide, 2015. "Research and innovation in agriculture: beyond productivity?," Bio-based and Applied Economics Journal, Italian Association of Agricultural and Applied Economics (AIEAA), vol. 4(3), pages 1-22, December.
    3. Njuki, E. & Bravo-Ureta, B., 2018. "Accounting for the Impacts of Changing Configurations in Temperature and Precipitation on U.S. Agricultural Productivity," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277140, International Association of Agricultural Economists.
    4. Stéphane Lemarié & Valérie Orozco & Jean-Pierre Butault & Antonio Musolesi & Michel Simioni & Bertrand Schmitt, 2020. "Assessing the long-term impact of agricultural research on productivity: evidence from France," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 47(4), pages 1559-1586.
    5. Yang, Sansi & Shumway, C. Richard, 2014. "Dynamic Adjustment in U.S. Agriculture under Climate Uncertainty," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 170609, Agricultural and Applied Economics Association.
    6. Eric Njuki & Boris E. Bravo-Ureta, 2019. "Examining irrigation productivity in U.S. agriculture using a single-factor approach," Journal of Productivity Analysis, Springer, vol. 51(2), pages 125-136, June.
    7. Matthew Clancy & Paul Heisey & Yongjie Ji & GianCarlo Moschini, 2020. "The Roots of Agricultural Innovation: Patent Evidence of Knowledge Spillovers," NBER Chapters, in: Economics of Research and Innovation in Agriculture, pages 21-75, National Bureau of Economic Research, Inc.
    8. Jules-Daniel Wurlod & Derek Eaton, 2015. "Chasing After the Frontier in Agricultural Productivity," FOODSECURE Working papers 36, LEI Wageningen UR.
    9. Jin, Yu & Huffman, Wallace E., 2013. "Reduced U.S. funding of public agricultural research and extension risks lowering future agricultural productivity growth prospects," ISU General Staff Papers 201312180800001053, Iowa State University, Department of Economics.
    10. Anderson Jock R. & Birner Regina & Nagarajan Latha & Naseem Anwar & Pray Carl E., 2021. "Private Agricultural R&D: Do the Poor Benefit?," Journal of Agricultural & Food Industrial Organization, De Gruyter, vol. 19(1), pages 3-14, May.
    11. Yu Jin & Wallace E. Huffman, 2016. "Measuring public agricultural research and extension and estimating their impacts on agricultural productivity: new insights from U.S. evidence," Agricultural Economics, International Association of Agricultural Economists, vol. 47(1), pages 15-31, January.
    12. Shayegh, Soheil & Sanchez, Daniel L. & Caldeira, Ken, 2017. "Evaluating relative benefits of different types of R&D for clean energy technologies," Energy Policy, Elsevier, vol. 107(C), pages 532-538.
    13. Ryota Nakatani, 2024. "Food companies' productivity dynamics: Exploring the role of intangible assets," Agribusiness, John Wiley & Sons, Ltd., vol. 40(1), pages 185-226, January.
    14. Wang, Sun Ling & Heisey, Paul & Schimmelpfennig, David & Ball, Eldon, 2015. "Agricultural Productivity Growth in the United States: Measurement, Trends, and Drivers," Economic Research Report 207954, United States Department of Agriculture, Economic Research Service.
    15. Sansi Yang & C Richard Shumway, 2018. "Asset fixity under state-contingent production uncertainty," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 45(5), pages 831-856.
    16. Clancy, Matthew S., 2018. "How deep are the roots of agricultural innovation? Evidence from patents," 2018 Annual Meeting, August 5-7, Washington, D.C. 274377, Agricultural and Applied Economics Association.

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