IDEAS home Printed from https://ideas.repec.org/p/isu/genstf/201004240700001128.html
   My bibliography  Save this paper

The impact of public and private R&D on farmers' production decisions: econometric evidence for Midwestern states, 1960-2004

Author

Listed:
  • Fan, Xing
  • Huffman, Wallace E.
  • Schuring, Jessica

Abstract

The objective of this paper is to identify the impact of public and private agricultural research on multi-output multi-input profit maximizing decisions of Midwestern farmers. The main hypothesis is that investments in public and private R&D shift outward the supply curves for crop The objective of this paper is to identify the impact of public and private agricultural research on multi-output multi-input profit maximizing decisions of Midwestern farmers. The main hypothesis is that investments in public and private R&D shift outward the supply curves for crop and livestock outputs and, in some cases, reduce the demand for inputs. The study uses state aggregate data for eight Midwestern states over 1960-2004. The own-price elasticities of demand for all inputs are shown to be negative, being larger for agricultural chemicals and energy that for farm capital services, labor and other materials. Additional public agricultural research increases the supply of crop and livestock outputs but biases revenue shares toward crop output. Additional private R&D as in adoption of GM corn varieties shifts outward the supply curves for crops and livestock outputs but biases revenue shares towards crop output. In contrast, an increase in the adoption of GM soybean varieties increases livestock output and deceases crop output. Public agricultural research reduces the demand for capital services and energy and increases the demand for agricultural chemicals, other materials, and labor. An increase in the availability of GM soybean varieties increases the demand for capital services, agricultural chemicals and other materials and has weak negative effects on the demand for labor and energy. GM corn variety adoption reduces the demand for energy but other effects are quite small.and livestock outputs and, in some cases, reduce the demand for inputs. The study uses state;aggregate data for eight Midwestern states over 1960-2004. The own-price elasticities of demand for;all inputs are shown to be negative, being larger for agricultural chemicals and energy that for farm;capital services, labor and other materials. Additional public agricultural research increases the;supply of crop and livestock outputs but biases revenue shares toward crop output. Additional;private R&D as in adoption of GM corn varieties shifts outward the supply curves for crops and;livestock outputs but biases revenue shares towards crop output. In contrast, an increase in the;adoption of GM soybean varieties increases livestock output and deceases crop output. Public;agricultural research reduces the demand for capital services and energy and increases the demand;for agricultural chemicals, other materials, and labor. An increase in the availability of GM soybean;varieties increases the demand for capital services, agricultural chemicals and other materials and;has weak negative effects on the demand for labor and energy. GM corn variety adoption reduces;the demand for energy but other effects are quite small.

Suggested Citation

  • Fan, Xing & Huffman, Wallace E. & Schuring, Jessica, 2010. "The impact of public and private R&D on farmers' production decisions: econometric evidence for Midwestern states, 1960-2004," ISU General Staff Papers 201004240700001128, Iowa State University, Department of Economics.
  • Handle: RePEc:isu:genstf:201004240700001128
    as

    Download full text from publisher

    File URL: https://dr.lib.iastate.edu/server/api/core/bitstreams/22219005-f9fa-473b-8c66-a4af94c4987d/content
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Fuss, Melvyn & McFadden, Daniel, 1978. "Production Economics: A Dual Approach to Theory and Applications (II): Applications of the Theory of Production," History of Economic Thought Books, McMaster University Archive for the History of Economic Thought, volume 2, number fuss1978a.
    2. Fuss, Melvyn & McFadden, Daniel (ed.), 1978. "Production Economics: A Dual Approach to Theory and Applications," Elsevier Monographs, Elsevier, edition 1, number 9780444850133.
    3. Fuss, Melvyn & McFadden, Daniel, 1978. "Production Economics: A Dual Approach to Theory and Applications (I): The Theory of Production," History of Economic Thought Books, McMaster University Archive for the History of Economic Thought, volume 1, number fuss1978.
    Full references (including those not matched with items on IDEAS)

    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. Barnett, William A. & Serletis, Apostolos, 2008. "Consumer preferences and demand systems," Journal of Econometrics, Elsevier, vol. 147(2), pages 210-224, December.
    2. Kala Krishna & Marie Thursby, 1994. "Structural Flexibility: A Partial Ordering," NBER Working Papers 4615, National Bureau of Economic Research, Inc.
    3. V. Vandenberghe, 2018. "The Contribution of Educated Workers to Firms’ Efficiency Gains: The Key Role of Proximity to the ‘Local’ Frontier," De Economist, Springer, vol. 166(3), pages 259-283, September.
    4. Matteo G. Richiardi & Luis Valenzuela, 2024. "Firm heterogeneity and the aggregate labour share," LABOUR, CEIS, vol. 38(1), pages 66-101, March.
    5. Sébastien Marchand, 2011. "Technical Efficiency, Farm Size and Tropical Deforestation in the Brazilian Amazonian Forest," CERDI Working papers halshs-00552981, HAL.
    6. Managi, Shunsuke & Opaluch, James J. & Jin, Di & Grigalunas, Thomas A., 2006. "Stochastic frontier analysis of total factor productivity in the offshore oil and gas industry," Ecological Economics, Elsevier, vol. 60(1), pages 204-215, November.
    7. Caroline Khan & Mike G. Tsionas, 2021. "Constraints in models of production and cost via slack-based measures," Empirical Economics, Springer, vol. 61(6), pages 3347-3374, December.
    8. Michaelides, Panayotis G. & Vouldis, Angelos T. & Tsionas, Efthymios G., 2010. "Globally flexible functional forms: The neural distance function," European Journal of Operational Research, Elsevier, vol. 206(2), pages 456-469, October.
    9. Antle, John M. & Aitah, Ali S., 1984. "Egypt'S Multiproduct Agricultural Technology And Agricultural Policy," Working Papers 225790, University of California, Davis, Department of Agricultural and Resource Economics.
    10. Krasachat, W., 2000. "Production Structure and Technical Change in Thai Agriculture, 1972-1994," 2000 Conference (44th), January 23-25, 2000, Sydney, Australia 123688, Australian Agricultural and Resource Economics Society.
    11. T. Gries & R. Grundmann & I. Palnau & M. Redlin, 2017. "Innovations, growth and participation in advanced economies - a review of major concepts and findings," International Economics and Economic Policy, Springer, vol. 14(2), pages 293-351, April.
    12. Renwick, Alan W. & Revoredo-Giha, Cesar & Reader, Mark A., 2005. "Uk Sugar Beet Farm Productivity Under Different Reform Scenarios: A Farm Level Analysis," Environmental Economy and Policy Research Discussion Papers 31936, University of Cambridge, Department of Land Economy.
    13. Bailey, Alastair & Irz, Xavier T. & Balcombe, Kelvin George, 2003. "An Appliation Of The Stochastic Latent Variable Approach To The Correction Of Sector Level Tfp Calculations In The Face Of Biased Technological Change," 2003 Annual Meeting, August 16-22, 2003, Durban, South Africa 25842, International Association of Agricultural Economists.
    14. Julien Daubanes & Pierre Lasserre, 2019. "The supply of non-renewable resources," Canadian Journal of Economics, Canadian Economics Association, vol. 52(3), pages 1084-1111, August.
    15. Arne Henningsen & Christian Henning, 2009. "Imposing regional monotonicity on translog stochastic production frontiers with a simple three-step procedure," Journal of Productivity Analysis, Springer, vol. 32(3), pages 217-229, December.
    16. Moschini, G. & Moro, D., 1993. "A Food demand System for Canada," Papers 1-93, Gouvernement du Canada - Agriculture Canada.
    17. Guenter Lang, 2002. "Innovative Slowdown, Productivity Reversal? - Estimating the Impact of R&D on Technological Change," Discussion Paper Series 218, Universitaet Augsburg, Institute for Economics.
    18. Huiban, Jean-Pierre & Mastromarco, Camille & Musolesi, Antonio & Simioni, Michel, 2016. "The impact of pollution abatement investments on production technology: new insights from frontier analysis," Working Papers MOISA 235162, Institut National de la recherché Agronomique (INRA), UMR MOISA : Marchés, Organisations, Institutions et Stratégies d'Acteurs : CIHEAM-IAMM, CIRAD, INRA, Montpellier SupAgro, Montpellier, France.
    19. Sadorsky, P. A., 1989. "Measuring Resource Scarcity in Non-renewable Resources with Inequality Constrained Estimation," Queen's Institute for Economic Research Discussion Papers 275216, Queen's University - Department of Economics.
    20. Crompton, Paul & Lesourd, Jean-Baptiste, 2008. "Economies of scale in global iron-making," Resources Policy, Elsevier, vol. 33(2), pages 74-82, June.

    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:201004240700001128. 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: 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.