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The induced innovation test (co-integration analysis) of Iranian agriculture

Author

Listed:
  • F. Shirani Bidabadi

    (Department of Agricultural Economics, Faculty of Agricultural Sciences, Gorgan University of Agricultural Sciences and Natural Resources, Gorgan, Iran)

  • M. Hashemitabar

    (Department of Agricultural Economics, Faculty of Agriculture (Saravan), Sistan and Baluchestan University, Zahedan, Iran)

Abstract

Technological change is a determinant index for agriculture that can lead to the productivity growth by either increasing the total output or increasing the usage of relatively cheap inputs and reducing the relatively expensive inputs. The determination of the magnitude and the direction of technological change in agricultural production has attracted much attention and has become the focal point of intense research efforts over the last couple decades. This topic is frequently studied in two different ways. One is considering the efforts of investment in the research and development technological change. The other is explaining the technological change by testing induced innovation hypothesis that was first proposed by Hicks. Therefore, in this study, with the help of time series by using the cointegration analysis, the induced innovation hypothesis is tested and the effect of investment in agricultural research on technological changing is considered.

Suggested Citation

  • F. Shirani Bidabadi & M. Hashemitabar, 2009. "The induced innovation test (co-integration analysis) of Iranian agriculture," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 55(3), pages 126-133.
    • Handle: RePEc:caa:jnlage:v:55:y:2009:i:3:id:588-agricecon
    DOI: 10.17221/588-AGRICECON
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    References listed on IDEAS

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    1. Binswanger, Hans P, 1974. "The Measurement of Technical Change Biases with Many Factors of Production," American Economic Review, American Economic Association, vol. 64(6), pages 964-976, December.
    2. Hockmann, Heinrich & Kopsidis, Michael, 2005. "The Choice of Technology in Russian Agriculture: An Application of the Induced Innovation Hypothesis," 2005 International Congress, August 23-27, 2005, Copenhagen, Denmark 24652, European Association of Agricultural Economists.
    3. Johansen, Soren & Juselius, Katarina, 1990. "Maximum Likelihood Estimation and Inference on Cointegration--With Applications to the Demand for Money," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 52(2), pages 169-210, May.
    4. Huffman, Wallace E. & Evenson, Robert E., 1993. "Science for Agriculture: A Long Term Perspective," Staff General Research Papers Archive 10997, Iowa State University, Department of Economics.
    5. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 39(3), pages 106-135.
    6. Philip G. Pardey & Barbara Craig, 1989. "Causal Relationships between Public Sector Agricultural Research Expenditures and Output," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 71(1), pages 9-19.
    7. Yoshimi Kuroda, 1987. "The Production Structure and Demand for Labor in Postwar Japanese Agriculture, 1952–82," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 69(2), pages 328-337.
    8. Schlitzer, Giuseppe, 1995. "Testing the stationarity of economic time series: further Monte Carlo evidence," Ricerche Economiche, Elsevier, vol. 49(2), pages 125-144, June.
    9. J. Stephen Clark & Curtis E. Youngblood, 1992. "Estimating Duality Models with Biased Technical Change: A Time Series Approach," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 74(2), pages 353-360.
    10. Shunji Oniki, 2000. "Testing the Induced Innovation Hypothesis in a Cointegrating Regression Model," The Japanese Economic Review, Japanese Economic Association, vol. 51(4), pages 544-554, December.
    11. repec:bla:econom:v:50:y:1983:i:198:p:159-73 is not listed on IDEAS
    12. Kawagoe, Toshihiko & Otsuka, Keijiro & Hayami, Yujiro, 1986. "Induced Bias of Technical Change in Agriculture: The United States and Japan, 1880-1980," Journal of Political Economy, University of Chicago Press, vol. 94(3), pages 523-544, June.
    13. Hayami, Yujiro & Ruttan, V W, 1970. "Factor Prices and Technical Change in Agricultural Development: The United States and Japan, 1880-1960," Journal of Political Economy, University of Chicago Press, vol. 78(5), pages 1115-1141, Sept.-Oct.
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    Cited by:

    1. Zuzana LAJDOVA & Jan LAJDA & Jaroslav KAPUSTA & Peter BIELIK, 2016. "Consequences of maize cultivation intended for biogas production," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 62(12), pages 543-549.

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