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Instruments Reducing Climatic Risk for Russian Agriculture

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  • Sannikova, Marina
  • Bukusheva, Raushan

Abstract

The paper evaluates technical solutions and two main tapes of index-based insurance: area yield insurance and weather-based index insurance regarding their efficiency in reducing climatic risks of Russian farms in the steppes zone. The analysis considers area yield insurance at two levels of aggregation - oblast and rayon (county) level. Weather-based index insurance products are drawn up by combining two weather parameters - daily precipitation and daily average air temperature. We employ yield and weather data of an experimental station in the Central Volga Russia for the period from 1979 to 2000. In addition experts' assessments are used to specify alternative levels of production technology and respective yield distributions for the considered region. To assess utilityefficiency of the defined insurance products a programming model were formulated for 22 states of nature and 3 levels of the decision-maker risk aversion. The model estimation results show that area yield insurance based on oblast and rayon yields stabilize farm income mostly efficiently. The weather-based index insurance follows immediately after. So, both index-based insurance types provide the considered farm with a higher utility than farm yield insurance with deductibles. This points at a high potential of index-based insurance as an instrument reducing climatic risk of Russian farms situated in the steppes zone.

Suggested Citation

  • Sannikova, Marina & Bukusheva, Raushan, 2007. "Instruments Reducing Climatic Risk for Russian Agriculture," 101st Seminar, July 5-6, 2007, Berlin Germany 9271, European Association of Agricultural Economists.
  • Handle: RePEc:ags:eaa101:9271
    DOI: 10.22004/ag.econ.9271
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    References listed on IDEAS

    as
    1. Raushan Bokusheva & Heinrich Hockmann, 2006. "Production risk and technical inefficiency in Russian agriculture," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 33(1), pages 93-118, March.
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    3. Anderson, Jock R. & Feder, Gershon, 2007. "Agricultural Extension," Handbook of Agricultural Economics, in: Robert Evenson & Prabhu Pingali (ed.), Handbook of Agricultural Economics, edition 1, volume 3, chapter 44, pages 2343-2378, Elsevier.
    4. 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.
    5. Bokusheva, Raushan & Breustedt, Gunnar & Heidelbach, Olaf, 2006. "Measurement and Comparison of Risk Reduction by Means of Farm Yield, Area Yield, and Weather Index Crop Insurance Schemes - The Case of Kazakhstani Wheat Farms," 2006 Annual Meeting, August 12-18, 2006, Queensland, Australia 25523, International Association of Agricultural Economists.
    6. Bokusheva, Raushan & Heidelbach, Olaf, 2004. "Актуальные Аспекты Страхования В Сельском Хозяйстве [Current factors of insurance in agriculture]," IAMO Discussion Papers 57, Leibniz Institute of Agricultural Development in Transition Economies (IAMO).
    7. Karuaihe, Raphael N. & Wang, H. Holly & Young, Douglas L., 2006. "Weather-Based Crop Insurance Contracts for African Countries," 2006 Annual Meeting, August 12-18, 2006, Queensland, Australia 25378, International Association of Agricultural Economists.
    8. Mario J. Miranda, 1991. "Area-Yield Crop Insurance Reconsidered," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 73(2), pages 233-242.
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