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Nr 1/83 (2025)

Artykuły

Managing catastrophic risks in agriculture

  • Jacek Kulawik
Opublikowane: 26.06.2025

Abstrakt

The article addresses the issue of catastrophic risks in agriculture – that is, events with a low probability of occurrence but with a high potential to cause various types of damage. Its primary aim is to provide an overview of these risks and the instruments available for their management. This objective is pursued through answering four research questions. The aim and the questions serve to support the thesis that catastrophic risks can, to a certain extent, be managed if certain conditions are met. Structurally, the article is closest to a monographic-review study. The set of examined partial problems reflects the author’s accumulated knowledge gained over more than 25 years of work on risk in agriculture and the food sector. The literature was selected using a combination of manual techniques and a simplified snowballing backward technique. The analysis conducted led to three conclusions: (1) instruments for managing catastrophic risks are already potentially available to farmers, for example in the European Union (EU), but their actual use faces a number of barriers; (2) globally, ad hoc disaster assistance is widely applied, although this could be rationalised through the implementation of holistic catastrophic risk management; (3) the development of the insurance and financial markets, along with their integration and globalisation, is constantly expanding the possibilities for commercially insuring catastrophic risks (without budgetary subsidies).

Bibliografia

  1. Albrecher H., Beirlant J., Teugels L.J., Reinsurance: Actuarial and Statistical Aspects, Wiley, Hoboken, Chichester, 2017. [Google Scholar]
  2. Baldwin K., Gray E., Strengthening agricultural resilience in the face of multiple risks, OECD, Paris 2018. [Google Scholar]
  3. Belton K., Dhami K.M., Cognitive biases and debiasing relevant to intelligence analysis [in:] Handbook on Bounded Rationality, ed. R. Viale, New York, Abindoo, Oxon, Routlege, 2022. [Google Scholar]
  4. Bendyk E., Przestrzelona przyszłość, “Polityka” 2024, No. 49. [Google Scholar]
  5. Borch H.K., Economics of Insurance, North-Holland, Amsterdam-London-New York-Tokyo, 1992. [Google Scholar]
  6. Buchner B., COP 29’s climate investment imperative, “Science” 2024, Vol. 386, No. 6722. [Google Scholar]
  7. Cafiero C., Capitanio F., Cioffi A. et al., Risk and Crisis Management in the Reformed European Agricultural Policy, “Canadian Journal of Agricultural Economics” 2007, Vol. 55. [Google Scholar]
  8. Copernicus Climate Change Service (C3S), 2024 is the first year to exceed 1.5°C above pre-industrial level, https://climate.copernicus.eu, access 11.01.2025. [Google Scholar]
  9. Cummins D.J., Barrieu D., Innovations in Insurance Markets: Hybrid and Securitized Risk Transfer [in:] Handbook of Insurance, ed. G. Dionne, Second Edition, New York, Heidelberg, London, Springer, 2013. [Google Scholar]
  10. Danglot B., Vera-Perez O., Yu 2. et al., A snowballing literature study on test amplification, “Journal of Systems and Software” 2019, Vol. 157. [Google Scholar]
  11. De Rosa M., Castelli A., Bartoli N. et al., Sustainable public procurement and constrained agricultural, “Journal of Rural Studies” 2023, “AIMS Agriculture and Food” 2023, Vol. 8, No. 2. [Google Scholar]
  12. Dietrich M.A., Müller J.G., Schoenle S.R., Big news: Climate disaster expectations and business cycle, “Journal of Economic Behavior and Organization” 2024, Vol. 227. [Google Scholar]
  13. El Benni N., Finger R., Meuwissen P.M.M., Potential effects of the income stabilisation tool (IST) in Swiss agriculture, “European Review of Agricultural Economics” 2016, Vol. 43, No. 3. [Google Scholar]
  14. European Union, EIOPA Staff paper on measures to improve the insurability of business interruption risk in light of pandemics, 2021, https://doi.org/10.2854/293053, access 15.01.2025. [Google Scholar]
  15. Fernández-Villaverde J., Levintal O., Solution methods for models with rare disasters, “Quantitative Economics” 2018, Vol. 9. [Google Scholar]
  16. Fier S.G., Carson J.M., Catastrophes and the demand for life insurance, “Journal of Insurance Issues” 2015, Vol. 38, No. 2. [Google Scholar]
  17. Finaldi-Russo P., Galotto L., Rampazzi C., The Financial Literacy of Micro-entrepreneurs: Evidence from Italy, “Bank of Italy Occasional Paper” 2022, No. 727. [Google Scholar]
  18. Froot K.A., The market for catastrophe risk: a clinical examination, “Journal of Financial Economics” 2001, Vol. 60, No. 2–3. [Google Scholar]
  19. Gallagher J., Learning about an infrequent event: Evidence from flood insurance take-up in the United States, “American Economic Journal: Applied Economics” 2023, Mitigation disaster risks in the age of climate change, “Econometrica” 2023, Vol. 95, No. 5. [Google Scholar]
  20. Gittins P., McElwee G., Constrained entrepreneurship: upland farmer response to the socio-political challenges in England’s beef and sheep sector, “Journal of Rural Studies” 2023, Vol. 104. [Google Scholar]
  21. Gittins P., McElwee G., Farm adaptative business strategies in crisis managemant: Covid-19, “Journal of Rural Studies” 2024, Vol. 111. [Google Scholar]
  22. Gittins P., McElwee G., Lever J., Constrained entrepreneurship in UK agriculture: A Weberian analysis, “Journal of Rural Studies” 2022, Vol. 95. [Google Scholar]
  23. Gleiβner W., Grundlagen das Risikomanagements: Hanbuch für ein Managemant unter Unsicherheit, 4. Aufl, München, Vahlen, 2022. [Google Scholar]
  24. Gondring H., Versicherungswirtschaft. Handbuch für Studium und Prasis, München, Vahlen, 2015. [Google Scholar]
  25. Gründl H., Guxha D., Karatseva A. et al., Insurability of pandemic risks, “Journal of Risk and Insurance” 2021, Vol. 88, No. 4. [Google Scholar]
  26. Hansen E.J., Karecha P., Sato M. et al., Global warning has accelerated: Are the United Nations and the public well-informed?, “Environment: Science and Policy for Sustainable Development” 2025, Vol. 6, No. 1, online, access 3.02.2025. [Google Scholar]
  27. Hartung U., Extremwetterereignisse in der Landwirtschaft: Risikomanagement im Bundesländervergleich, „Berichte über Landwirtschaft“ 2020, Vol. 98, No. 2. [Google Scholar]
  28. Hirschauer N., Mußhoff O., Risikomanagementinstrumente im Vergleich: Sollte man landwirt-schaftliche Ernteversicherungen subventionieren? – Gute alte Argumente in einem neuen Streit [in:] Risiken in der Agrar- und Ernährungswirtschaft und ihre Bewältigung. Schriften der Gesellschaft für Wirtschafts- und Sozialwissenschaften des Landbaues eV., E. Berg, M. Hartmann, T. Heckelei et al., Band 44, Münster-Hiltrup, Landwirtschaftsverlag, 2009. [Google Scholar]
  29. Hohl M.R., Agricultural Risk Transfer. From Insurance to Reinsurance to Capital Market, Wiley, Chichester, 2019. [Google Scholar]
  30. Iwanicz-Drozdowska M. (scientific ed.), Ubezpieczenia, Warsaw, Polskie Wydawnictwo Ekonomiczne, 2018. [Google Scholar]
  31. Jacobs A., Policy Making for the long term in advanced democracies, “Annual Review of Political Science” 2016, Vol. 19, No. 1. [Google Scholar]
  32. Kaas R., Goovaerts M., Dhaene J. et al., Modern Actuarial Risk Theory: Using R, Berlin, Heidelberg, Springer, 2009. [Google Scholar]
  33. Kaczała M., Łyskawa K., Konstrukcja ubezpieczenia indeksowego suszy w zakresie wybranych upraw i jego akceptacja przez rolników w Polsce [in:] Weryfikacja praktyczna proponowanych produktów ubezpieczeniowych i skonstruowanie systemu holistycznego zarządzania ryzykiem (pilotaż), scientific ed. M. Soliwoda, Warsaw, IERiGŻ PIB, 2022. [Google Scholar]
  34. Kaplow L., Incentives and government relief for risk, “Journal of Risk and Uncertainty” 1991, Vol. 4, No. 2. [Google Scholar]
  35. Kartern W., Nell M., Richter A. et al., Risiko und Versicherungstechnik. Eine ökonomische Einführung, Wiesbaden, Springer Gabler, 2018. [Google Scholar]
  36. Keil R., Betriebsunterbrechungsversicherung. Ursachen, Wirkungen und Lösungen, Karlsruhe, VVW, 2019. [Google Scholar]
  37. Kowalczyk P., Poprawska E., Ronka-Chmielowiec W., Metody aktuarialne, Warszawa, Wydawnictwo Naukowe PWN, 2006. [Google Scholar]
  38. Kulawik J. (red.), Kagan A., Klimkowski C. et al., Ryzyko katastroficzne i rezyliencja w gospodarce żywnościowej – implikacje dla polityki rolno-żywnościowej, Warsaw, IERiGŻ PIB, December 2024. [Google Scholar]
  39. Kulawik J. (red.), Luka finansowa w rolnictwie a instrumenty finansowe. Studium przypadku na podstawie PROW 2023–2027, Warsaw, IERiGŻ PIB, 2021. [Google Scholar]
  40. Kulawik J., Fundamentalne problemy zarządzania ryzykiem w rolnictwie. Od ryzyka czystego i spekulatywnego do ERM i ryzyka łańcuchów (sieci) żywnościowych, Warsaw, IERiGŻ PIB, 2022. [Google Scholar]
  41. Kulawik J., Teoretyczne podstawy ubezpieczeń szkód majątkowych w rolnictwie, Warsaw, IERiGŻ PIB, 2020. [Google Scholar]
  42. Kulawik J. (red. nauk.), Ryzyko katastroficzne i rezyliencja w gospodarce żywnościowej, not published, Warsaw, IERiGŻ PIB, 2024. [Google Scholar]
  43. Lien J., Shushi T., Asymptotics of the loss-based tail risk measures in the presence of extreme risks, “European Actuarial Journal” 2024, Vol. 14, No. 1. [Google Scholar]
  44. Louaas A., Picard P., Optimal insurance coverage of low-probability catastrophic risk, “The Geneva Risk and Insurance Review” 2021, Vol. 46, No. 1. [Google Scholar]
  45. Maček A., Gheceva S., Murg M., Impact of natural disaster on the value of (Re)Insurance Companies, “German Journal of Risk and Insurance” 2023, Vol. 112, No. 4. [Google Scholar]
  46. Mao T., Hu J., Liu H., The average risk sharing problem under risk measure and expected utility theory, “Insurance: Mathematics and Economics” 2018, Vol. 83(C). [Google Scholar]
  47. Martin I.W.R., Pindyck S.R., Averting Catastrophes: The Strange Economics of Scylla and Charybdis, “American Economic Review” 2015, Vol. 105, No. 10. [Google Scholar]
  48. Melyukhina O., Yoon W., Producer incentives in livestock disease management: a synthesis of conceptual and empirical studies. Draft Report- OECD Conference Centre, Paris 2017. [Google Scholar]
  49. Meuwissen M.P.M., van Asseldonk M.P.A.M., Huirne M.B.R., Coping with Crisis Risk in European Agriculture, “Eurochoices” 2006, Vol. 5. [Google Scholar]
  50. Mitchell-Wallace K., Jones M., Hillier J. et al., Natural Catastrophe Risk Management and Modelling: A Practitioner’s Guide, Wiley, Chichester, 2017. [Google Scholar]
  51. NAIC (National Association of Insurance Commissioners), Business interruption policies (BOP), 2022, https://policies-boop, access 15.01.2025. [Google Scholar]
  52. OECD, National risk assessment: A cross-country perspective, Paris 2018. [Google Scholar]
  53. Pohl S., Iranya J., The ABC of Reinsurance, Karlsruhe, VVW, 2018. [Google Scholar]
  54. Polska Izba Ubezpieczeń, Klimat rosnących strat. Rola ubezpieczeń w ochronie klimatu i transformacji energetycznej, Warsaw 2013. [Google Scholar]
  55. Priest G.L., The government, the market, and the problem of catastrophic loss, “Journal of Risk and Uncertainty” 1996, Vol. 12, No. 2–3. [Google Scholar]
  56. Refai D., Elkafraui N., Gittins P., Creating a sustainable ripple in rural entrepreneurship – the case of Deserttulip in resource-constrained rural Jordan, “Journal of Entrepreneurial Behavior” 2024, V. 30, No. 1. [Google Scholar]
  57. Rejda E.G., McNamara J.M., Principles of Risk Management and Insurance, London, New York, Pearson, 2017. [Google Scholar]
  58. Ricci O., Santilli G., Exploring the link between financial literacy and business interruption insurance: evidence from Italian micro-enterprises, “The Geneva Papers on Risk and Insurance – Issues and Practice” 2024, Vol. 49, No. 4. [Google Scholar]
  59. Richardson K., Steffen W. et al., Earth beyond six of nine planetary biundries, “Science Advances” 2023, Vol. 9, No. 37. [Google Scholar]
  60. Rippo R., Cerroni S., Farmers participation in the Income Stabilisation Tool: Evidence from the apple sector in Italy, “Journal of Agricultural Economics” 2022, Vol. 74, No. 1. [Google Scholar]
  61. Rockström J., Steffen W. et al., Planetary Boundaries: Exploring the Safe Operating Space for Humanity, “Ecology and Society” 2009, Vol. 14, No. 2. [Google Scholar]
  62. Rohlfs T., Risikomanagement im Versicherungsunternehemen: Identifizierung, Bewertung und Steuerung, Karlsruhe, Versicherungswirtschaft, 2018. [Google Scholar]
  63. Saldenha I.J., Canne J., Adjudication rather than experience of data abstraction matters more in reducing errors in abstracting data in Systematic review, “Research Synthesis Methods” 2020, Vol. 11, No. 3. [Google Scholar]
  64. Savada Y., The impact of Natural and Manmade Disasters on Household Welfare, Plenary paper prepared for presentation at the International Association of Agricultural Economists Conference, Gold Coast, Australia, 12–18.08.2006. [Google Scholar]
  65. Schwarz S.L., Insuring the “Uninsurable”: Catastrophe bonds, pandemics, and risk securitization, “Washington University Law Review” 2021, Vol. 90. [Google Scholar]
  66. Shojenia K.G., Samson M., How quickly do systematic reviews go out of date? A survival analysis, “Annals of Internal Medicine“ 2007, Vol. 174, No. 4. [Google Scholar]
  67. Siedl M., Regeling K., Schaden – und Krisenmanagement [in:] Betriebliches Risikomanagement und Industrieversicherung. Erfolgreiche Unternehmensteuerung durch ein effektives Risiko-und versicherungsmanagement, Hrsg. A. Mahnte, T. Rohlfs, Wiesbaden, Springer Gabler, 2020. [Google Scholar]
  68. Smith R., McElwee G., Somerville P., Illegal diversification strategies in the farming community from a UK perspective, “Journal of Rural Studies” 2017, Vol. 53. [Google Scholar]
  69. Soliwoda M., Pawłowska-Tyszko J., Juchniewicz M. et al., Instrument stabilizacji dochodów [in:] Weryfikacja praktyczna proponowanych produktów ubezpieczeniowych i skonstruowanie systemu holistycznego zarządzania ryzykiem (pilotaż), scientific ed. Michał Soliwoda, Warsaw, IERiGŻ PIB, 2022. [Google Scholar]
  70. Sommer M., Punkt krytyczny dla klimatu, Dziennik Gazeta Prawna, nr 25, 6.02.2025. [Google Scholar]
  71. Stahl U., Distant relations: business interruption insurance and business closure insurance, “The Geneva Papers on Risk and Insurance – Issue and Practice” 2023, Vol. 48, No. 3. [Google Scholar]
  72. Tang Q., Yang Y., Worst-case moment under partial ambiguity, ASTIN Bulletin: “The Journal of the IAA” 2023, Vol. 53, No. 2. [Google Scholar]
  73. Tse K.Y., Nonlife Actuarial Models Theory, Methods and Evaluation, Cambridge, Cambridge University Press, 2009. [Google Scholar]
  74. Van Voss H.B., Helsloot J., How states deal with long-term destabilizing risks, “Journal of Risk Research” 2023, Vol. 26, No. 10. [Google Scholar]
  75. Vergara O., Zuba G., Doggett T. et al., Modelling the potential impact of catastrophic weather crop insurance industry portfolio losses, “American Journal of Agricultural Economics” 2008, Vol. 90, No. 5. [Google Scholar]
  76. Vrije Universiteit Amsterdam, Snowball method – Research skills – Advanced – LibGuides, https://libguides.vu.nl/c.php, access 7.02.2025. [Google Scholar]
  77. Wnuk K., Garropalli T., Knowledge Management in Software Testing: A Systematic Snowball Literature Review, “e-Informatics Software Engineering Journal” 2018, Vol. 12, No. 1. [Google Scholar]
  78. World Bank, World Development Report 2000/2001, Attacking Poverty, Washington D.C. 2001. [Google Scholar]
  79. World Economic Forum, The Global Risks Report 2025, 20th. Edition, 2025. [Google Scholar]

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