IDEAS home Printed from https://ideas.repec.org/a/caa/jnlage/v55y2009i3id588-agricecon.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: http://agricecon.agriculturejournals.cz/doi/10.17221/588-AGRICECON.html
    Download Restriction: free of charge

    File URL: http://agricecon.agriculturejournals.cz/doi/10.17221/588-AGRICECON.pdf
    Download Restriction: free of charge

    File URL: https://libkey.io/10.17221/588-AGRICECON?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    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. Lee, J H, 1983. "The Measurement and Sources of Technological Change Biases, with an Application to Postwar Japanese Agriculture," Economica, London School of Economics and Political Science, vol. 50(198), pages 159-173, May.
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Liu, Qinghua & Shumway, C. Richard, 2003. "Induced Innovation Tests On Western American Agriculture: A Cointegration Analysis," 2003 Annual meeting, July 27-30, Montreal, Canada 22237, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    2. Pardey, Philip G. & Alston, Julian M. & Ruttan, Vernon W., 2010. "The Economics of Innovation and Technical Change in Agriculture," Handbook of the Economics of Innovation, in: Bronwyn H. Hall & Nathan Rosenberg (ed.), Handbook of the Economics of Innovation, edition 1, volume 2, chapter 0, pages 939-984, Elsevier.
    3. Fernando S. Machado, 1995. "Testing The Induced Innovation Hypothesis Using Cointegration Analysis," Journal of Agricultural Economics, Wiley Blackwell, vol. 46(3), pages 349-360, September.
    4. Benson, Aaron & Shumway, C. Richard, 2005. "Induced Innovation or a Paradox of Environmental Regulation?," 2005 Annual meeting, July 24-27, Providence, RI 19450, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    5. Yucan Liu & C. Richard Shumway, 2009. "Induced Innovation in U.S. Agriculture: Time-series, Direct Econometric, and Nonparametric Tests," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 91(1), pages 224-236.
    6. Shumway, C. Richard & Liu, Yucan, 2006. "Induced Innovation in the Agricultural Sector: Evidence From a State Panel," 2006 Annual meeting, July 23-26, Long Beach, CA 21089, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    7. Baldi, Lucia & Casati, Dario, 2005. "Induced Innovation in Italy: An Error Correction Model for the Period 1968-2002," 2005 International Congress, August 23-27, 2005, Copenhagen, Denmark 24590, European Association of Agricultural Economists.
    8. Liu, Yucan & Shumway, C. Richard, 2009. "Induced innovation and marginal cost of new technology," Economics Letters, Elsevier, vol. 105(1), pages 106-109, October.
    9. Nafeesa Yunus & J. Hansz & Paul Kennedy, 2012. "Dynamic Interactions Between Private and Public Real Estate Markets: Some International Evidence," The Journal of Real Estate Finance and Economics, Springer, vol. 45(4), pages 1021-1040, November.
    10. JEAN-PAUL CHAVAS & Michael Aliber & THOMAS L. COX, 1994. "A Nonparametric Analysis of the Source and Nature of Technical Change: the Case of U.S. Agriculture," Wisconsin-Madison Agricultural and Applied Economics Staff Papers 373, Wisconsin-Madison Agricultural and Applied Economics Department.
    11. Alston, Julian M. & Chalfant, James A. & Pardey, Philip G., 1993. "Structural Adjustment In Oecd Agriculture: Government Policies And Technical Change," Working Papers 14473, University of Minnesota, Center for International Food and Agricultural Policy.
    12. Esposti, Roberto, 2002. "Public agricultural R&D design and technological spill-ins: A dynamic model," Research Policy, Elsevier, vol. 31(5), pages 693-717, July.
    13. Nafeesa Yunus & Peggy Swanson, 2007. "Modelling Linkages between US and Asia‐Pacific Securitized Property Markets," Journal of Property Research, Taylor & Francis Journals, vol. 24(2), pages 95-122.
    14. Queiroz, P. & Silva, F.D.F. & Fulginiti, L., 2018. "How did technical change affect land use in Brazilian agriculture?," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277318, International Association of Agricultural Economists.
    15. Orachos Napasintuwong Artachinda, 2011. "Modeling Directions of Technical Change in Agricultural Sector," Working Papers 201101, Kasetsart University, Department of Agricultural and Resource Economics.
    16. Tang, Chor Foon, 2010. "The determinants of health expenditure in Malaysia: A time series analysis," MPRA Paper 24356, University Library of Munich, Germany.
    17. Levent, Korap, 2007. "Modeling purchasing power parity using co-integration: evidence from Turkey," MPRA Paper 19584, University Library of Munich, Germany.
    18. Vassilis Monastiriotis & Cigdem Borke Tunali, 2020. "The Sustainability of External Imbalances in the European Periphery," Open Economies Review, Springer, vol. 31(2), pages 273-294, April.
    19. Zamani, Mehrzad, 2007. "Energy consumption and economic activities in Iran," Energy Economics, Elsevier, vol. 29(6), pages 1135-1140, November.
    20. Muhammad Zia Ullah Khan & Muhammad Illyas & Muqqadas Rahman & Chaudhary Abdul Rahman, 2015. "Money Monetization and Economic Growth in Pakistan," International Journal of Economics and Empirical Research (IJEER), The Economics and Social Development Organization (TESDO), vol. 3(4), pages 184-192, April.

    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:caa:jnlage:v:55:y:2009:i:3:id:588-agricecon. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: Ivo Andrle (email available below). General contact details of provider: https://www.cazv.cz/en/home/ .

    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.