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The Effect of Climate Change over Agricultural Factor Productivity: Some Econometric Considerations

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  • McCarl, Bruce A.
  • Villavicencio, Xavier
  • Wu, Ximing

Abstract

This paper examines the role that climate change might be playing in the declining returns to agricultural research. For this purpose, we estimate a cross-section time-series model of agricultural total factor productivity for the U.S. states over the period 1970–1999, with the inclusion of climatic variables, and controlling for non stationarity of the data. Our findings suggest that after controlling for climatic variables and non stationarity, the effect of Public Agricultural Research Capital over Total Factor Productivity is reduced.

Suggested Citation

  • McCarl, Bruce A. & Villavicencio, Xavier & Wu, Ximing, 2009. "The Effect of Climate Change over Agricultural Factor Productivity: Some Econometric Considerations," 2009 Annual Meeting, July 26-28, 2009, Milwaukee, Wisconsin 49452, Agricultural and Applied Economics Association.
  • Handle: RePEc:ags:aaea09:49452
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    File URL: http://purl.umn.edu/49452
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    References listed on IDEAS

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    1. Banerjee, Anindya & Dolado, Juan J. & Galbraith, John W. & Hendry, David, 1993. "Co-integration, Error Correction, and the Econometric Analysis of Non-Stationary Data," OUP Catalogue, Oxford University Press, number 9780198288107.
    2. Phillips, P.C.B., 1986. "Understanding spurious regressions in econometrics," Journal of Econometrics, Elsevier, vol. 33(3), pages 311-340, December.
    3. Kaddour Hadri, 2000. "Testing for stationarity in heterogeneous panel data," Econometrics Journal, Royal Economic Society, vol. 3(2), pages 148-161.
    4. Kao, Chihwa, 1999. "Spurious regression and residual-based tests for cointegration in panel data," Journal of Econometrics, Elsevier, vol. 90(1), pages 1-44, May.
    5. Wallace E. Huffman & Robert E. Evenson, 2006. "Do Formula or Competitive Grant Funds Have Greater Impacts on State Agricultural Productivity?," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 88(4), pages 783-798.
    6. Dinda, Soumyananda & Coondoo, Dipankor, 2006. "Income and emission: A panel data-based cointegration analysis," Ecological Economics, Elsevier, vol. 57(2), pages 167-181, May.
    7. Im, Kyung So & Pesaran, M. Hashem & Shin, Yongcheol, 2003. "Testing for unit roots in heterogeneous panels," Journal of Econometrics, Elsevier, vol. 115(1), pages 53-74, July.
    8. Granger, C. W. J. & Newbold, P., 1974. "Spurious regressions in econometrics," Journal of Econometrics, Elsevier, vol. 2(2), pages 111-120, July.
    9. Pedroni, Peter, 1999. " Critical Values for Cointegration Tests in Heterogeneous Panels with Multiple Regressors," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(0), pages 653-670, Special I.
    10. Levin, Andrew & Lin, Chien-Fu & James Chu, Chia-Shang, 2002. "Unit root tests in panel data: asymptotic and finite-sample properties," Journal of Econometrics, Elsevier, vol. 108(1), pages 1-24, May.
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    Cited by:

    1. Akbar, Muhammad & Jamil, Faisal, 2012. "Monetary and fiscal policies' effect on agricultural growth: GMM estimation and simulation analysis," Economic Modelling, Elsevier, vol. 29(5), pages 1909-1920.

    More about this item

    Keywords

    Climate Change; Factor Productivity; Returns to Research; Panel Data; Environmental Economics and Policy; Research Methods/ Statistical Methods; Resource /Energy Economics and Policy; C33; O13; Q16;

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • O13 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Agriculture; Natural Resources; Environment; Other Primary Products
    • Q16 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - R&D; Agricultural Technology; Biofuels; Agricultural Extension Services

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