IDEAS home Printed from https://ideas.repec.org/a/ags/gjagec/270173.html
   My bibliography  Save this article

Das Risikoreduzierungspotenzial von Wetterindexversicherungen im Agribusiness – Die Bedeutung des Aggregationsniveaus von Ertragszeitreihen

Author

Listed:
  • Pelka, Niels
  • Mußhoff, Oliver

Abstract

Wetterindexversicherungen werden in der Landwirt-schaft bisher nur verhalten eingesetzt. Als ein wesentlicher Grund hierfür werden Basisrisiken angesehen, die bei der Anwendung beim Landwirt verbleiben. Wetterindexversicherungen können allerdings auch für Unternehmen des Agribusiness interessant sein, die Erträge mehrerer landwirtschaftlicher Betriebe in sich aggregieren. Dieser Beitrag untersucht am Beispiel eines Zucker verarbeitenden Unternehmens die Bedeutung des Aggregationsniveaus von Ertrags-zeitreihen für das Risikoreduzierungspotenzial von Wetterindexversicherungen. Die Grundlage hierfür bilden die einzelbetrieblichen Zuckerertragszeitreihen von 40 Zuckerrüben produzierenden Betrieben sowie die aggregierte Zuckerertragszeitreihe aller rund 5 000 Zuckerrüben produzierenden Betriebe in Nord-deutschland, die ihre Zuckerrüben an das betreffende Zucker verarbeitende Unternehmen liefern. Diese hoch aggregierte Zuckerertragszeitreihe beschreibt gleichzeitig das Mengenrisiko des Zucker verarbeitenden Unternehmens. Unsere Ergebnisse belegen empirisch, dass eine Hedgingeffektivität von Wetterindexversicherungen auf unterschiedlichen Aggregationsniveaus vorhanden ist und das infolge des Aggregierens der Zuckerertragszeitreihen das Basisrisiko bei der Anwendung von Wetterindexversicherungen geschmälert und das Risikoreduzierungspotenzial gesteigert wird. Wenn das Risikoreduzierungspotenzial von Wetterindexversicherungen aus Wirksamkeitsanalysen abgeleitet wird, die mit Ertragszeitreihen einzelner landwirtschaftlicher Betriebe arbeiten, kann es für Unternehmen des Agribusiness daher unterschätzt werden. Die hier behandelte Fragestellung ist sowohl für Unternehmen des Agribusiness als auch für potenzielle Anbieter von Wetterindexversicherungen relevant. Weather index-based insurance is not sufficiently used in agriculture as of yet. Basis risks are considered to be a major reason for this. By the use of weather index-based insurance, basis risks remain with the farmer. However, weather index-based insurance can be interesting for agribusiness companies, specifically those which aggregate yields of several farms amongst themselves. This paper investigates the importance of the aggregation level of yield time series for the hedging effectiveness of weather index-based insurance following the example of a sugar processing company. This investigation is based on empirical sugar beet yield data from 40 sugar beet producing farms in Northern Germany. Furthermore, we work with the aggregated sugar yield time series of roughly 5,000 farms, which account for sugar beets used in the sugar processing company in question. At the same time, this highly aggregated yield time series describes the quantity risk of the sugar processing company. Our results empirically show that in consequence of aggregating the sugar yield time series, basis risk is diminished and risk reduction potential is raised through the use of weather index-based insurance. The risk reduction potential of weather index-based insurance can, therefore, be underestimated if it is derived from studies pertaining to yield time series at the individual farm level. The focus of the present study may be relevant for agribusiness companies, as well as for potential providers of weather derivatives.

Suggested Citation

  • Pelka, Niels & Mußhoff, Oliver, 2015. "Das Risikoreduzierungspotenzial von Wetterindexversicherungen im Agribusiness – Die Bedeutung des Aggregationsniveaus von Ertragszeitreihen," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 64(02), June.
  • Handle: RePEc:ags:gjagec:270173
    DOI: 10.22004/ag.econ.270173
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/270173/files/2_Pelka.pdf
    Download Restriction: no

    File URL: https://ageconsearch.umn.edu/record/270173/files/2_Pelka.pdf?subformat=pdfa
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.270173?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
    ---><---

    References listed on IDEAS

    as
    1. Skees, Jerry R., 2000. "A role for capital markets in natural disasters: a piece of the food security puzzle," Food Policy, Elsevier, vol. 25(3), pages 365-378, June.
    2. Leland L. Johnson, 1960. "The Theory of Hedging and Speculation in Commodity Futures," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 27(3), pages 139-151.
    3. 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.
    4. 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.
    5. Linda L. Golden & Mulong Wang & Chuanhou Yang, 2007. "Handling Weather Related Risks Through the Financial Markets: Considerations of Credit Risk, Basis Risk, and Hedging," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 74(2), pages 319-346, June.
    6. Hirschauer, Norbert & Mußhoff, Oliver, 2008. "Zu welchem Preis können Versicherer "ineffektive" Risikomanagementinstrumente anbieten? Zur Effizienz von Wetterderivaten," German Risk and Insurance Review (GRIR), University of Cologne, Department of Risk Management and Insurance, vol. 4(1), pages 1-27.
    7. Keith H. Coble & Thomas O. Knight & Rulon D. Pope & Jeffery R. Williams, 1997. "An Expected-Indemnity Approach to the Measurement of Moral Hazard in Crop Insurance," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 79(1), pages 216-226.
    8. Michael T. Norton, 2013. "Quantifying spatial basis risk for weather index insurance," Journal of Risk Finance, Emerald Group Publishing, vol. 14(1), pages 20-34, February.
    9. Barry K. Goodwin, 2001. "Problems with Market Insurance in Agriculture," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 83(3), pages 643-649.
    10. Olivier Mahul & Dominique Vermersch, 2000. "Hedging crop risk with yield insurance futures and options [Contrats à terme et options comme couverture de risques sur récoltes]," Post-Print hal-02690691, HAL.
    11. Pelka, Niels & Mußhoff, Oliver, 2013. "Das Risikoreduzierungspotenzial von Wetterderivaten im Ackerbau: Einfachindizes versus Mischindizes," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 62(04), pages 1-13, November.
    12. I Mahul & D Vermersch, 2000. "Hedging crop risk with yield insurance futures and options," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 27(2), pages 109-126, June.
    13. Gunnar Breustedt & Raushan Bokusheva & Olaf Heidelbach, 2008. "Evaluating the Potential of Index Insurance Schemes to Reduce Crop Yield Risk in an Arid Region," Journal of Agricultural Economics, Wiley Blackwell, vol. 59(2), pages 312-328, June.
    14. Berg, Ernst & Schmitz, Bernhard & Starp, Michael & Trenkel, Hermann, 2005. "Wetterderivate: Ein Instrument im Risikomanagement für die Landwirtschaft?," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 54(03), pages 1-13.
    15. Pelka, Niels & Mußhoff, Oliver, 2013. "Das Risikoreduzierungspotenzial von Wetterderivaten im Ackerbau: Einfachindizes versus Mischindizes," Journal of International Agricultural Trade and Development, Journal of International Agricultural Trade and Development, vol. 62(4).
    16. 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.
    17. 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).
    18. Martin Odening & Oliver Musshoff & Wei Xu, 2007. "Analysis of rainfall derivatives using daily precipitation models: opportunities and pitfalls," Agricultural Finance Review, Emerald Group Publishing Limited, vol. 67(1), pages 135-156, May.
    19. Ernst Berg & Bernhard Schmitz, 2008. "Weather‐based instruments in the context of whole‐farm risk management," Agricultural Finance Review, Emerald Group Publishing Limited, vol. 68(1), pages 119-133, May.
    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. Pelka, Niels & Mußhoff, Oliver, 2013. "Das Risikoreduzierungspotenzial von Wetterderivaten im Ackerbau: Einfachindizes versus Mischindizes," Journal of International Agricultural Trade and Development, Journal of International Agricultural Trade and Development, vol. 62(4).
    2. Pelka, Niels & Mußhoff, Oliver, 2013. "Das Risikoreduzierungspotenzial von Wetterderivaten im Ackerbau: Einfachindizes versus Mischindizes," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 62(04), pages 1-13, November.
    3. Bokusheva, Raushan & Breustedt, Gunnar & Heidelbach, Olaf, 2007. "Ex-ante evaluation of weather-based index insurance and area-yield insurance for reducing crop yield risk," 101st Seminar, July 5-6, 2007, Berlin Germany 9250, European Association of Agricultural Economists.
    4. Bokusheva, R. & Breustedt, G. & Heidelbach, O., 2007. "Reducing asymmetric information by alternative crop insurance schemes – Testing risk reduction of individual and index-based contracts," Proceedings “Schriften der Gesellschaft für Wirtschafts- und Sozialwissenschaften des Landbaues e.V.”, German Association of Agricultural Economists (GEWISOLA), vol. 42, March.
    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. Mußhoff, Oliver & Grüner, Sven & Hirschauer, Norbert, 2014. "Muss man begrenzte Rationalität und heuristisches Entscheiden bei der Erklärung für die Verbreitung von Wetterindexversicherungen in der Landwirtschaft berücksichtigen? – Eine Untersuchung auf d," Journal of International Agricultural Trade and Development, Journal of International Agricultural Trade and Development, vol. 63(2).
    7. Barnett, Barry J. & Barrett, Christopher B. & Skees, Jerry R., 2008. "Poverty Traps and Index-Based Risk Transfer Products," World Development, Elsevier, vol. 36(10), pages 1766-1785, October.
    8. Buchholz, Matthias & Musshoff, Oliver, 2014. "The role of weather derivatives and portfolio effects in agricultural water management," Agricultural Water Management, Elsevier, vol. 146(C), pages 34-44.
    9. Mußhoff, Oliver & Grüner, Sven & Hirschauer, Norbert, 2014. "Muss man begrenzte Rationalität und heuristisches Entscheiden bei der Erklärung für die Verbreitung von Wetterindexversicherungen in der Landwirtschaft berücksichtigen? – Eine Untersuchung auf der Bas," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 63(02), pages 1-14, March.
    10. Castañeda-Vera, Alba & Garrido, Alberto, 2017. "Evaluation of risk management tools for stabilising farm income under CAP 2014-2020," Economia Agraria y Recursos Naturales, Spanish Association of Agricultural Economists, vol. 17(01), June.
    11. 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.
    12. Leif Erec Heimfarth & Oliver Musshoff, 2011. "Weather index‐based insurances for farmers in the North China Plain," Agricultural Finance Review, Emerald Group Publishing Limited, vol. 71(2), pages 218-239, August.
    13. Bokusheva, Raushan & Breustedt, Gunnar, 2012. "The Effectiveness of Weather-Based Index Insurance and Area-Yield Crop Insurance: How Reliable are ex post Predictions for Yield Risk Reduction?," Quarterly Journal of International Agriculture, Humboldt-Universitaat zu Berlin, vol. 51(2), pages 1-22, May.
    14. Geoffroy Enjolras & Robert Kast & Patrick Sentis, 2009. "Diversification in Area-Yield Crop Insurance : The Multi Linear Additive Model," Working Papers 09-15, LAMETA, Universtiy of Montpellier, revised Nov 2009.
    15. Pelka, Niels & Weber, Ron & Musshoff, Oliver, 2015. "Does weather matter? How rainfall shocks affect credit risk in agricultural micro-finance," 2015 Conference, August 9-14, 2015, Milan, Italy 212617, International Association of Agricultural Economists.
    16. Robert Kast, 2011. "Managing financial risks due to natural catastrophes," Working Papers hal-00610241, HAL.
    17. Ranjan Kumar Ghosh & Shweta Gupta & Vartika Singh & Patrick S. Ward, 2021. "Demand for Crop Insurance in Developing Countries: New Evidence from India," Journal of Agricultural Economics, Wiley Blackwell, vol. 72(1), pages 293-320, February.
    18. 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.
    19. CARPENTIER, Alain & GOHIN, Alexandre & SCKOKAI, Paolo & THOMAS, Alban, 2015. "Economic modelling of agricultural production: past advances and new challenges," Review of Agricultural and Environmental Studies - Revue d'Etudes en Agriculture et Environnement (RAEStud), Institut National de la Recherche Agronomique (INRA), vol. 96(1), March.
    20. Bokusheva, Raushan, 2004. "Crop insurance in transition: a qualitative and quantitative assessment of insurance products," IAMO Discussion Papers 76, Leibniz Institute of Agricultural Development in Transition Economies (IAMO).

    More about this item

    Keywords

    Agricultural Finance; Farm Management;

    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:ags:gjagec:270173. 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/iahubde.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.