IDEAS home Printed from https://ideas.repec.org/p/isu/genstf/201301010800001355.html
   My bibliography  Save this paper

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

Author

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

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.

Suggested Citation

  • Wang, Sun Ling & Heisey, Paul W. & Huffman, Wallace E. & Fuglie, Keith O., 2013. "Public R&D, Private R&D, and U.S. Agricultural Productivity Growth: Dynamic and Long-Run Relationships," ISU General Staff Papers 201301010800001355, Iowa State University, Department of Economics.
  • Handle: RePEc:isu:genstf:201301010800001355
    as

    Download full text from publisher

    File URL: https://dr.lib.iastate.edu/server/api/core/bitstreams/48a9f89e-32e5-464d-8a90-c252417b880e/content
    Download Restriction: no
    ---><---

    Other versions of this item:

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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.
    2. 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.
    3. Jules-Daniel Wurlod & Derek Eaton, 2015. "Chasing After the Frontier in Agricultural Productivity," FOODSECURE Working papers 36, LEI Wageningen UR.
    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. 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.
    6. Jin, Yu & Huffman, Wallace E., 2013. "Reduced U.S. Funding of Public Agricultural Research and Extension Risks Lowering Future Agricultural Productivity Growth Prospects," Staff General Research Papers Archive 36796, Iowa State University, Department of Economics.
    7. 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.
    8. 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.
    9. 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.
    10. repec:oup:apecpp:v:40:y:2018:i:3:p:421-444. is not listed on IDEAS
    11. 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.
    12. 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.
    13. 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.
    14. 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.
    15. 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.
    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.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:isu:genstf:201301010800001355. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Curtis Balmer (email available below). General contact details of provider: https://edirc.repec.org/data/deiasus.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.