IDEAS home Printed from https://ideas.repec.org/a/prg/jnlaop/v2013y2013i2id400p69-87.html
   My bibliography  Save this article

Determinants of the Risk Environment in Agricultural Enterprises in the Czech Republic
[Determinanty rizikového prostředí zemědělských podniků v České republice]

Author

Listed:
  • Jindřich Špička
  • Václav Vilhelm

Abstract

The income of agricultural enterprises has always been influenced by both weather and price volatility. Nevertheless, the risk environment of various farms seems not to be the same. Similarly, risk factors are not independent of each other. The aim of the paper is to assess the spatial and commodity particularities determining the risk environment of agricultural enterprises in the Czech Republic. Within the main objective, the efficiency of crop insurance depending on farm size is also considered. Using calculation of statistical indicators of variability in the panel data, as well as Monte Carlo simulation, differences in farm risk exposure and efficiency of crop insurance between small and large farms were found. It was found that the risk of crop price volatility is generally of a more systemic nature and it is more difficult to diversify than the risk of crop yield volatility. The hypothesis that smaller crop acreage increases the risk of farm crop yield fluctuation was not statistically confirmed within a set of medium and large agricultural enterprises. In the sample of typical farms with specialized crop field types of farming, it was revealed that agricultural insurance is more effective for small farms than for large agricultural enterprises. Based on the main findings, we make some recommendations for the business sector and policy makers.

Suggested Citation

  • Jindřich Špička & Václav Vilhelm, 2013. "Determinants of the Risk Environment in Agricultural Enterprises in the Czech Republic [Determinanty rizikového prostředí zemědělských podniků v České republice]," Acta Oeconomica Pragensia, Prague University of Economics and Business, vol. 2013(2), pages 69-87.
    • Handle: RePEc:prg:jnlaop:v:2013:y:2013:i:2:id:400:p:69-87
    DOI: 10.18267/j.aop.400
    as

    Download full text from publisher

    File URL: http://aop.vse.cz/doi/10.18267/j.aop.400.html
    Download Restriction: free of charge
    File URL: http://aop.vse.cz/doi/10.18267/j.aop.400.pdf
    Download Restriction: free of charge
    File URL: https://libkey.io/10.18267/j.aop.400?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. Margot Rudstrom & Michael Popp & Patrick Manning & Edward Gbur, 2002. "Data Aggregation Issues for Crop Yield Risk Analysis," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 50(2), pages 185-200, July.
    2. Michael Popp & Margot Rudstrom & Patrick Manning, 2005. "Spatial Yield Risk Across Region, Crop and Aggregation Method," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 53(2‐3), pages 103-115, June.
    3. Coble, Keith H. & Dismukes, Robert & Thomas, Sarah E., 2007. "Policy Implications of Crop Yield and Revenue Variability at Differing Levels of Disaggregation," 2007 Annual Meeting, July 29-August 1, 2007, Portland, Oregon 9759, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    4. L. M. Eisgruber & L. S. Schuman, 1963. "The Usefulness of Aggregated Data in the Analysis of Farm Income Variability and Resource Allocation," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 45(3), pages 587-591.
    5. Debrah, Siegfried & Hall, Harry H., 1989. "Data aggregation and farm risk analysis," Agricultural Systems, Elsevier, vol. 31(3), pages 239-245.
    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. Finger, Robert, 2012. "Biases in Farm-Level Yield Risk Analysis due to Data Aggregation," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 61(01), pages 1-14, February.
    2. Finger, Robert, 2012. "Biases in Farm-Level Yield Risk Analysis due to Data Aggregation," Journal of International Agricultural Trade and Development, Journal of International Agricultural Trade and Development, vol. 61(1).
    3. Bechtel, Amos I. & Young, Douglas L., 1999. "The Importance Of Using Farm Level Risk Estimates In Crp Enrollment Decisions," 1999 Annual Meeting, July 11-14, 1999, Fargo, ND 35717, Western Agricultural Economics Association.
    4. Zhiwei Shen & Martin Odening, 2013. "Coping with systemic risk in index-based crop insurance," Agricultural Economics, International Association of Agricultural Economists, vol. 44(1), pages 1-13, January.
    5. Severini, Simone & Tantari, Antonella & Di Tommaso, Giuliano, 2016. "The instability of farm income. Empirical evidences on aggregation bias and heterogeneity among farm groups," Bio-based and Applied Economics Journal, Italian Association of Agricultural and Applied Economics (AIEAA), vol. 5(01), pages 1-19, April.
    6. Christopher N. Boyer & B. Wade Brorsen & Emmanuel Tumusiime, 2015. "Modeling skewness with the linear stochastic plateau model to determine optimal nitrogen rates," Agricultural Economics, International Association of Agricultural Economists, vol. 46(1), pages 1-10, January.
    7. Jindřich Špička, 2009. "The Risk Analysis in the Agricultural Enterprises using Earnings at Risk Method," Ekonomika a Management, Prague University of Economics and Business, vol. 2009(3).
    8. Popp, Michael P. & Rudstrom, Margaretha & Manning, Patrick M., 2004. "Spatial Yield Risk Issues: Comparing Yield Risk Across Region, Crop And Aggregation Method," 2004 Annual meeting, August 1-4, Denver, CO 19979, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    9. Lobell, David B. & Ortiz-Monasterio, J. Ivan & Falcon, Walter P., 2007. "Yield uncertainty at the field scale evaluated with multi-year satellite data," Agricultural Systems, Elsevier, vol. 92(1-3), pages 76-90, January.
    10. Peter Slade, 2021. "The impact of price hedging on subsidized insurance: Evidence from Canada," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 69(4), pages 447-464, December.
    11. Baylis, Kathy & Paulson, Nicholas D. & Piras, Gianfranco, 2011. "Spatial Approaches to Panel Data in Agricultural Economics: A Climate Change Application," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 43(3), pages 325-338, August.
    12. Kellner, Ulla & Musshoff, Oliver, 2011. "Precipitation or water capacity indices? An analysis of the benefits of alternative underlyings for index insurance," Agricultural Systems, Elsevier, vol. 104(8), pages 645-653, October.
    13. Claassen, Roger & Carriazo, Fernando & Cooper, Joseph C. & Hellerstein, Daniel & Ueda, Kohei, 2011. "Grassland to Cropland Conversion in the Northern Plains: The Role of Crop Insurance, Commodity, and Disaster Programs," Economic Research Report 262239, United States Department of Agriculture, Economic Research Service.
    14. Hennessy, David A., 2009. "Crop Yield Skewness and the Normal Distribution," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 34(01), pages 1-19, April.
    15. Jones, Rodney & Purcell, Wayne & Driscoll, Paul & Peterson, Everett, 1996. "Issues and Cautions in Employing Behavioral Modeling Approaches to Test for Market Power," Staff Papers 232517, Virginia Polytechnic Institute and State University, Department of Agricultural and Applied Economics.
    16. Pigeon, Mathieu & Frahan, Bruno Henry de & Denuit, Michel, 2012. "Actuarial evaluation of the EU proposed farm income stabilisation tool," 123rd Seminar, February 23-24, 2012, Dublin, Ireland 122485, European Association of Agricultural Economists.
    17. Juan He & Roderick Rejesus & Xiaoyong Zheng & Jose Yorobe, 2018. "Advantageous Selection in Crop Insurance: Theory and Evidence," Journal of Agricultural Economics, Wiley Blackwell, vol. 69(3), pages 646-668, September.
    18. Vieth, Gary R. & Suppapanya, Pramote, 1996. "An Evaluation Of Selected Decision Models: A Case Of Crop Choice In Northern Thailand," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 28(2), pages 1-11, December.
    19. Gary D. Thompson & Paul N. Wilson, 1994. "Common Property As An Institutional Response To Environmental Variability," Contemporary Economic Policy, Western Economic Association International, vol. 12(3), pages 10-21, July.
    20. Schmidt, Lorenz & Odening, Martin & Schlanstein, Johann & Ritter, Matthias, 2021. "Estimation of the Farm-Level Yield-Weather-Relation Using Machine Learning," 61st Annual Conference, Berlin, Germany, September 22-24, 2021 317075, German Association of Agricultural Economists (GEWISOLA).

    More about this item

    Keywords

    agriculture; risk management; risk environment; Monte Carlo simulation; holistic approach;
    All these keywords.

    JEL classification:

    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • M11 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - Production Management
    • Q18 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agricultural Policy; Food Policy; Animal Welfare Policy

    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:prg:jnlaop:v:2013:y:2013:i:2:id:400:p:69-87. 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: Stanislav Vojir (email available below). General contact details of provider: https://edirc.repec.org/data/uevsecz.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.