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International R&D spillovers and productivity growth in the agricultural sector. A panel cointegration approach

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  • L. Gutierrez
  • M. M. Gutierrez

Abstract

We use the new growth theory framework and panel cointegration techniques to analyse the effect of international agricultural technological spillovers on total factor productivity growth for a sample of 47 countries during the period 1970--1992. The analysis shows that total factor productivity is strongly influenced by domestic as well as foreign public research and development (R&D) spending in the agricultural sector. Geographical factors matter, in that countries located in temperate zones benefit from technological spillovers more than countries located in tropical zones. We find that the rate of return to agricultural R&D spending is higher in tropical countries. This could justify new support and an even greater investment in agricultural R&D for these countries. Copyright 2003, Oxford University Press.

Suggested Citation

  • L. Gutierrez & M. M. Gutierrez, 2003. "International R&D spillovers and productivity growth in the agricultural sector. A panel cointegration approach," European Review of Agricultural Economics, Foundation for the European Review of Agricultural Economics, vol. 30(3), pages 281-303, September.
  • Handle: RePEc:oup:erevae:v:30:y:2003:i:3:p:281-303
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    Cited by:

    1. Luh, Yir-Hueih & Chang, Ching-Cheng, 2004. "Efficiency Change And Productivity Growth In East Asian Agriculture," 2004 Annual meeting, August 1-4, Denver, CO 20220, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    2. Exenberger, Andreas & Pondorfer, Andreas & Wolters, Maik H., 2014. "Estimating the impact of climate change on agricultural production: Accounting for technology heterogeneity across countries," Kiel Working Papers 1920, Kiel Institute for the World Economy (IfW).
    3. Howard, Peter & Sterner, Thomas, 2014. "Raising the Temperature on Food Prices: Climate Change, Food Security, and the Social Cost of Carbon," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 170648, Agricultural and Applied Economics Association.
    4. Derek Headey & Mohammad Alauddin & D.S. Prasada Rao, 2010. "Explaining agricultural productivity growth: an international perspective," Agricultural Economics, International Association of Agricultural Economists, vol. 41(1), pages 1-14, January.
    5. Markus Eberhardt & Francis Teal, 2013. "No Mangoes in the Tundra: Spatial Heterogeneity in Agricultural Productivity Analysis," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 75(6), pages 914-939, December.
    6. Luh, Yir-Hueih & Chang, Ching-Cheng & Huang, Fung-Mey, 2008. "Efficiency change and productivity growth in agriculture: A comparative analysis for selected East Asian economies," Journal of Asian Economics, Elsevier, vol. 19(4), pages 312-324, August.
    7. Gutierrez, Luciano, 2002. "Why is Agricultural Labour Productivity higher in some countries than others?," Agricultural Economics Review, Greek Association of Agricultural Economists, vol. 3(1), January.
    8. Luciano Gutierrez, 2005. "Tests for cointegration in panels with regime shifts," Econometrics 0505007, EconWPA.
    9. Drine, Imed, 2011. "Climate Variability and Agricultural Productivity in MENA region," WIDER Working Paper Series 096, World Institute for Development Economic Research (UNU-WIDER).
    10. Luciano Gutierrez, 2003. "Common and idiosyncratic shocks to labor productivity across sectors and countries: Is climate relevant?," Macroeconomics 0311008, EconWPA.
    11. Markus Eberhardt & Dietrich Vollrath, 2014. "Agricultural Technology and Structural Change," CSAE Working Paper Series 2014-21, Centre for the Study of African Economies, University of Oxford.
    12. Esposti, Roberto, 2008. "Why Should Regional Agricultural Productivity Growth Converge? Evidence from Italian Regions," 2008 International Congress, August 26-29, 2008, Ghent, Belgium 43955, European Association of Agricultural Economists.

    More about this item

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • O30 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - General
    • Q16 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - R&D; Agricultural Technology; Biofuels; Agricultural Extension Services

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