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The potential of satellite-based data to detect weather extremes and crop yield variation for hedging agricultural weather risks in Central Asia and Mongolia: Three essays

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  • Eltazarov, Sarvarbek

Abstract

The increasing availability of open-source and high-quality satellite data has facilitated market developments in the index insurance sector. However, the suitability of various satellite products for detecting weather extremes and crop yield variations across world regions must be thoroughly assessed. Therefore, this dissertation investigates the feasibility and performance of various satellite and reanalysis-based weather and vegetation data to design index insurance products for agricultural producers. According to the results, the studied satellite-based data could serve as a good source to establish and implement index insurance products in the region. However, careful assessment and selection of index, temporal aggregation, and land use/cover classification remain essential.

Suggested Citation

  • Eltazarov, Sarvarbek, 2023. "The potential of satellite-based data to detect weather extremes and crop yield variation for hedging agricultural weather risks in Central Asia and Mongolia: Three essays," EconStor Theses, ZBW - Leibniz Information Centre for Economics, number 286134, March.
    • Handle: RePEc:zbw:esthes:286134
    DOI: 10.25673/112942
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    References listed on IDEAS

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    1. Benjamin Collier & Jerry Skees & Barry Barnett, 2009. "Weather Index Insurance and Climate Change: Opportunities and Challenges in Lower Income Countries," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 34(3), pages 401-424, July.
    2. Wienand Kölle & Matthias Buchholz & Oliver Musshoff, 2021. "Do high-resolution satellite indices at field level reduce basis risk of satellite-based weather index insurance?," Agricultural Finance Review, Emerald Group Publishing Limited, vol. 82(4), pages 616-640, August.
    3. Eltazarov, Sarvarbek & Bobojonov, Ihtiyor & Kuhn, Lena & Glauben, Thomas, 2021. "Mapping weather risk – A multi-indicator analysis of satellite-based weather data for agricultural index insurance development in semi-arid and arid zones of Central Asia," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 23.
    4. Robert Finger, 2013. "Investigating the performance of different estimation techniques for crop yield data analysis in crop insurance applications," Agricultural Economics, International Association of Agricultural Economists, vol. 44(2), pages 217-230, March.
    5. Florian Schierhorn & Max Hofmann & Taras Gagalyuk & Igor Ostapchuk & Daniel Müller, 2021. "Machine learning reveals complex effects of climatic means and weather extremes on wheat yields during different plant developmental stages," Climatic Change, Springer, vol. 169(3), pages 1-19, December.
    6. Janic Bucheli & Tobias Dalhaus & Robert Finger, 2021. "The optimal drought index for designing weather index insurance," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 48(3), pages 573-597.
    7. Raushan Bokusheva, 2018. "Using copulas for rating weather index insurance contracts," Journal of Applied Statistics, Taylor & Francis Journals, vol. 45(13), pages 2328-2356, October.
    8. Million Tadesse & Bekele Shiferaw & Olaf Erenstein, 2015. "Weather index insurance for managing drought risk in smallholder agriculture: lessons and policy implications for sub-Saharan Africa," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 3(1), pages 1-21, December.
    9. 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.
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