IDEAS home Printed from https://ideas.repec.org/a/ags/aareaj/161974.html
   My bibliography  Save this article

Effect of yield and price risk on conversion from conventional to organic farming

Author

Listed:
  • Acs, Szvetlana
  • Berentsen, Paul B.M.
  • Huirne, Ruud
  • van Asseldonk, Marcel

Abstract

Although the benefits of organic farming are already well known, the conversion to organic farming does not proceed as the Dutch government expected. In order to investigate the conversion decisions of Dutch arable farms, a discrete stochastic dynamic utility-efficient programming (DUEP) model is developed with special attention for yield and price risk of conventional, conversion and organic crops. The model maximizes the expected utility of the farmer depending on the farmer’s risk attitude. The DUEP model is an extension of a dynamic linear programming model that maximized the labour income of conversion from conventional to organic farming over a 10 year planning horizon. The DUEP model was used to model a typical farm for the central clay region in the Netherlands. The results show that for a risk-neutral farmer it is optimal to convert to organic farming. However, for a more risk-averse farmer it is only optimal to fully convert if policy incentives are applied such as taxes on pesticides or subsidies on conversion, or if the market for the organic products becomes more stable.

Suggested Citation

  • Acs, Szvetlana & Berentsen, Paul B.M. & Huirne, Ruud & van Asseldonk, Marcel, 2009. "Effect of yield and price risk on conversion from conventional to organic farming," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 53(3), pages 1-19.
  • Handle: RePEc:ags:aareaj:161974
    DOI: 10.22004/ag.econ.161974
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/161974/files/j.1467-8489.2009.00458.x.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.161974?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
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. James A. Langley & Earl O. Heady & Kent D. Olson, 1982. "Macro Implications of a Complete Transformation of U.S. Agricultural Production to Organic Farming Practices," Food and Agricultural Policy Research Institute (FAPRI) Publications (archive only) 82-wp9, Center for Agricultural and Rural Development (CARD) at Iowa State University.
    2. David K. Lambert & Bruce A. McCarl, 1985. "Risk Modeling Using Direct Solution of Nonlinear Approximations of the Utility Function," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 67(4), pages 846-852.
    3. Lien, Gudbrand & Hardaker, J. Brian & Asseldonk, Marcel A.P.M. van & Richardson, James W., 2009. "Risk programming and sparse data: how to get more reliable results," Agricultural Systems, Elsevier, vol. 101(1-2), pages 42-48, June.
    4. Harwood, Joy L. & Heifner, Richard G. & Coble, Keith H. & Perry, Janet E. & Somwaru, Agapi, 1999. "Managing Risk in Farming: Concepts, Research, and Analysis," Agricultural Economic Reports 34081, United States Department of Agriculture, Economic Research Service.
    5. Pannell, David J. & Malcolm, Bill & Kingwell, Ross S., 2000. "Are we risking too much? Perspectives on risk in farm modelling," Agricultural Economics, Blackwell, vol. 23(1), pages 69-78, June.
    6. Flaten, O. & Lien, G., 2007. "Stochastic utility-efficient programming of organic dairy farms," European Journal of Operational Research, Elsevier, vol. 181(3), pages 1574-1583, September.
    7. Martin, Sandra, 1996. "Risk Management Strategies in New Zealand Agriculture and Horticulture," Review of Marketing and Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 64(01), pages 1-14, April.
    8. Allan N. Rae, 1971. "Stochastic Programming, Utility, and Sequential Decision Problems in Farm Management," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 53(3), pages 448-460.
    9. G Lien & JB Hardaker, 2001. "Whole-farm planning under uncertainty: impacts of subsidy scheme and utility function on portfolio choice in Norwegian agriculture," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 28(1), pages 17-36, March.
    10. Richardson, James W. & Klose, Steven L. & Gray, Allan W., 2000. "An Applied Procedure For Estimating And Simulating Multivariate Empirical (Mve) Probability Distributions In Farm-Level Risk Assessment And Policy Analysis," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 32(2), pages 1-17, August.
    11. J. Brian Hardaker & Louise H. Patten & David J. Pannell, 1988. "Utility‐Efficient Programming For Whole‐Farm Planning," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 32(2-3), pages 88-97, 08-12.
    12. K. D. Cocks, 1968. "Discrete Stochastic Programming," Management Science, INFORMS, vol. 15(1), pages 72-79, September.
    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. Flaten, O. & Lien, G., 2007. "Stochastic utility-efficient programming of organic dairy farms," European Journal of Operational Research, Elsevier, vol. 181(3), pages 1574-1583, September.
    2. Ridier, Aude & Chaib, Karim & Roussy, Caroline, 2016. "A Dynamic Stochastic Programming model of crop rotation choice to test the adoption of long rotation under price and production risks," European Journal of Operational Research, Elsevier, vol. 252(1), pages 270-279.
    3. Lien, Gudbrand & Hardaker, J. Brian & Asseldonk, Marcel A.P.M. van & Richardson, James W., 2009. "Risk programming and sparse data: how to get more reliable results," Agricultural Systems, Elsevier, vol. 101(1-2), pages 42-48, June.
    4. Flaten, Ola & Lien, Gudbrand D., 2005. "Stochastic Utility-Efficient Programming of Organic Dairy Farms," 2005 International Congress, August 23-27, 2005, Copenhagen, Denmark 24743, European Association of Agricultural Economists.
    5. Komarek, Adam M. & MacAulay, T. Gordon, 2013. "Farmer responses to changing risk aversion, enterprise variability and resource endowments," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 57(3).
    6. Gudbrand Lien & J. Hardaker & Marcel Asseldonk & James Richardson, 2011. "Risk programming analysis with imperfect information," Annals of Operations Research, Springer, vol. 190(1), pages 311-323, October.
    7. Torkamani, Javad, 2005. "Using a whole-farm modelling approach to assess prospective technologies under uncertainty," Agricultural Systems, Elsevier, vol. 85(2), pages 138-154, August.
    8. Heidelbach, Olaf, 2007. "Efficiency of selected risk management instruments: An empirical analysis of risk reduction in Kazakhstani crop production," Studies on the Agricultural and Food Sector in Transition Economies, Leibniz Institute of Agricultural Development in Transition Economies (IAMO), volume 40, number 92323.
    9. Torkamani, Javad & Hardaker, J. Brian, 1996. "A study of economic efficiency of Iranian farmers in Ramjerd district: an application of stochastic programming," Agricultural Economics, Blackwell, vol. 14(2), pages 73-83, July.
    10. Ekman, Sone, 2002. "Cost-Effective Farm-Level Nitrogen Abatement in the Presence of Environmental and Economic Risk," 2002 International Congress, August 28-31, 2002, Zaragoza, Spain 24860, European Association of Agricultural Economists.
    11. Apland, Jeffrey & Hauer, Grant, 1993. "Discrete Stochastic Programming: Concepts, Examples And A Review Of Empirical Applications," Staff Papers 13793, University of Minnesota, Department of Applied Economics.
    12. Ridier, Aude & Ben El Ghali, Mohamed & Nguyen, G. & Kephaliacos, Charilaos, 2013. "The role of risk aversion and labor constraints in the adoption of low input practices supported by the CAP green payments in cash crop farms," Review of Agricultural and Environmental Studies - Revue d'Etudes en Agriculture et Environnement (RAEStud), Institut National de la Recherche Agronomique (INRA), vol. 94(2).
    13. Rosa, Franco, 2014. "Evaluation of risk in farm planning: a case study," 2014 Third Congress, June 25-27, 2014, Alghero, Italy 173126, Italian Association of Agricultural and Applied Economics (AIEAA).
    14. Kingwell, Ross, 1996. "Programming models of farm supply response: The impact of specification errors," Agricultural Systems, Elsevier, vol. 50(3), pages 307-324.
    15. Ricome, Aymeric & Chaib, Karim & Ridier, Aude & Kephaliacos, Charilaos & Carpy-Goulard, Francoise, 2016. "The Role of Marketing Contracts in the Adoption of Low-Input Production Practices in the Presence of Income Supports: An Application in Southwestern France," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 41(3), pages 1-29.
    16. Hardaker, J. Brian & Lien, Gudbrand D., 2007. "Rationalising Risk Assessment: Applications to Agricultural Business," Australasian Agribusiness Review, University of Melbourne, Department of Agriculture and Food Systems, vol. 15.
    17. Pannell, David J. & Nordblom, Thomas L., 1998. "Impacts of risk aversion on whole-farm management in Syria," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 42(3), pages 1-21.
    18. Hardaker, J. Brian & Pandey, Sushil & Patten, Louise H., 1991. "Farm Planning under Uncertainty: A Review of Alternative Programming Models," Review of Marketing and Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 59(01), pages 1-14, April.
    19. Jones, Jason P.H. & McCarl, Bruce A., 2016. "Impacts of U.S. Production-Dependent Ethanol Policy on Agricultural Markets," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 236258, Agricultural and Applied Economics Association.
    20. Ricome, Aymeric & Chaib, Karim & Ridier, Aude & Kephaliacos, Charilaos & Carpy-Goulard, Francoise, 2012. "The role of cash crop marketing contracts in the adoption of low-input practices in the presence of risk and income supports," 126th Seminar, June 27-29, 2012, Capri, Italy 126222, European Association of Agricultural Economists.

    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:ags:aareaj:161974. 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: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/aaresea.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.