IDEAS home Printed from https://ideas.repec.org/a/spr/annopr/v315y2022i2d10.1007_s10479-020-03793-4.html
   My bibliography  Save this article

Satellite big data analytics for ethical decision making in farmer’s insurance claim settlement: minimization of type-I and type-II errors

Author

Listed:
  • Narayan Prasad Nagendra

    (Friedrich Alexander University Erlangen-Nuremberg)

  • Gopalakrishnan Narayanamurthy

    (University of Liverpool Management School)

  • Roger Moser

    (Macquarie University)

Abstract

Farmers submit claims to insurance providers when affected by sowing/planting risk, standing crop risk, post-harvest risk, and localized calamities risk. Decision making for settlement of claims submitted by farmers has been observed to comprise of type-I and type-II errors. The existence of these errors reduces confidence on agri-insurance providers and government in general as it fails to serve the needy farmers (type-I error) and sometimes serve the ineligible farmers (type-II error). The gaps in currently used underlying data, methods and timelines including anomalies in locational data used in crop sampling, inclusion of invalid data points in computation, estimation of crop yield, and determination of the total sown area create barriers in executing the indemnity payments for small and marginal farmers in India. In this paper, we present a satellite big data analytics based case study in a region in India and explain how the anomalies in the legacy processes were addressed to minimize type-I and type-II errors and thereby make ethical decisions while approving farmer claims. Our study demonstrates what big data analytics can offer to increase the ethicality of the decisions and the confidence at which the decision is made, especially when the beneficiaries of the decision are poor and powerless.

Suggested Citation

  • Narayan Prasad Nagendra & Gopalakrishnan Narayanamurthy & Roger Moser, 2022. "Satellite big data analytics for ethical decision making in farmer’s insurance claim settlement: minimization of type-I and type-II errors," Annals of Operations Research, Springer, vol. 315(2), pages 1061-1082, August.
    • Handle: RePEc:spr:annopr:v:315:y:2022:i:2:d:10.1007_s10479-020-03793-4
    DOI: 10.1007/s10479-020-03793-4
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10479-020-03793-4
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s10479-020-03793-4?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. K.P. Krishnan & Venkatesh Panchapagesan & Madalasa Venkataraman, 2016. "Distortions in Land Markets and their Implications to Credit Generation in India," Working Papers id:10562, eSocialSciences.
    2. Olivier Mahul & Charles J. Stutley, 2010. "Government Support to Agricultural Insurance : Challenges and Options for Developing Countries," World Bank Publications - Books, The World Bank Group, number 2432, December.
    3. Ana Marr & Anne Winkel & Marcel van Asseldonk & Robert Lensink & Erwin Bulte, 2016. "Adoption and impact of index-insurance and credit for smallholder farmers in developing countries," Agricultural Finance Review, Emerald Group Publishing Limited, vol. 76(1), pages 94-118, May.
    4. Chandra S. Kumar & Calum G. Turvey & Jaclyn D. Kropp, 2013. "The Impact of Credit Constraints on Farm Households: Survey Results from India and China," Applied Economic Perspectives and Policy, Agricultural and Applied Economics Association, vol. 35(3), pages 508-527.
    5. Elabed, Ghada & Carter, Michael R., 2015. "Compound-risk aversion, ambiguity and the willingness to pay for microinsurance," Journal of Economic Behavior & Organization, Elsevier, vol. 118(C), pages 150-166.
    6. Sudha Narayanan, 2016. "The productivity of agricultural credit in India," Agricultural Economics, International Association of Agricultural Economists, vol. 47(4), pages 399-409, July.
    7. Shawn Cole, 2009. "Fixing Market Failures or Fixing Elections? Agricultural Credit in India," American Economic Journal: Applied Economics, American Economic Association, vol. 1(1), pages 219-250, January.
    8. Ulf Römer & Oliver Musshoff, 2017. "Can agricultural credit scoring for microfinance institutions be implemented and improved by weather data?," Agricultural Finance Review, Emerald Group Publishing Limited, vol. 78(1), pages 83-97, December.
    9. Harold G. Halcrow, 1949. "Actuarial Structures for Crop Insurance," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 31(3), pages 418-443.
    10. Katie Shilton & Daniel Greene, 2019. "Linking Platforms, Practices, and Developer Ethics: Levers for Privacy Discourse in Mobile Application Development," Journal of Business Ethics, Springer, vol. 155(1), pages 131-146, March.
    11. Pan Liu & Shu-ping Yi, 2018. "Investment decision-making and coordination of a three-stage supply chain considering Data Company in the Big Data era," Annals of Operations Research, Springer, vol. 270(1), pages 255-271, November.
    12. Wolfert, Sjaak & Ge, Lan & Verdouw, Cor & Bogaardt, Marc-Jeroen, 2017. "Big Data in Smart Farming – A review," Agricultural Systems, Elsevier, vol. 153(C), pages 69-80.
    13. Mario J. Miranda & Katie Farrin, 2012. "Index Insurance for Developing Countries," Applied Economic Perspectives and Policy, Agricultural and Applied Economics Association, vol. 34(3), pages 391-427.
    14. Eliane Gomes & Marcos Lins, 2002. "Integrating Geographical Information Systems and Multi-Criteria Methods: A Case Study," Annals of Operations Research, Springer, vol. 116(1), pages 243-269, October.
    15. Bauhoff, Sebastian & Busch, Jonah, 2020. "Does deforestation increase malaria prevalence? Evidence from satellite data and health surveys," World Development, Elsevier, vol. 127(C).
    16. Foltz, Jeremy D., 2004. "Credit market access and profitability in Tunisian agriculture," Agricultural Economics, Blackwell, vol. 30(3), pages 229-240, May.
    17. Salvatore Di Falco & Felice Adinolfi & Martina Bozzola & Fabian Capitanio, 2014. "Crop Insurance as a Strategy for Adapting to Climate Change," Journal of Agricultural Economics, Wiley Blackwell, vol. 65(2), pages 485-504, June.
    18. de Nicola, Francesca, 2015. "Handling the weather : insurance, savings, and credit in West Africa," Policy Research Working Paper Series 7187, The World Bank.
    19. Raymond Fisman & Daniel Paravisini & Vikrant Vig, 2017. "Cultural Proximity and Loan Outcomes," American Economic Review, American Economic Association, vol. 107(2), pages 457-492, February.
    20. Gill, Anita & Singh, Lakhwinder, 2006. "Farmers’ Suicides and Response of Public Policy: Evidence, Diagnosis and Alternatives from Punjab," MPRA Paper 146, University Library of Munich, Germany.
    21. Pan Liu & Shu-ping Yi, 2018. "A study on supply chain investment decision-making and coordination in the Big Data environment," Annals of Operations Research, Springer, vol. 270(1), pages 235-253, November.
    22. Anita Gill, 2016. "Agricultural Credit in Punjab: Have Policy Initiatives Made a Dent in Informal Credit Markets?," India Studies in Business and Economics, in: Lakhwinder Singh & Nirvikar Singh (ed.), Economic Transformation of a Developing Economy, edition 1, chapter 0, pages 165-182, Springer.
    23. Isabelle Gu�rin & Bert D'Espallier & Govindan Venkatasubramanian, 2013. "Debt in Rural South India: Fragmentation, Social Regulation and Discrimination," Journal of Development Studies, Taylor & Francis Journals, vol. 49(9), pages 1155-1171, September.
    24. Kumar, Sunil Mitra, 2013. "Does Access to Formal Agricultural Credit Depend on Caste?," World Development, Elsevier, vol. 43(C), pages 315-328.
    25. Birthal, Pratap S. & Roy, Devesh & Negi, Digvijay S., 2015. "Assessing the Impact of Crop Diversification on Farm Poverty in India," World Development, Elsevier, vol. 72(C), pages 70-92.
    26. Subhendu Datta & Aviral Kumar Tiwari & C.S. Shylajan, 2018. "An empirical analysis of nature, magnitude and determinants of farmers’ indebtedness in India," International Journal of Social Economics, Emerald Group Publishing Limited, vol. 45(6), pages 888-908, June.
    27. Jean-Pierre Brans & Giorgio Gallo, 2007. "Ethics in OR/MS: past, present and future," Annals of Operations Research, Springer, vol. 153(1), pages 165-178, September.
    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. Cariappa, A. G. Adeeth & Sendhil, R, 2021. "Does Institutional Credit Induce on-Farm Investments? Evidence from India," 2021 Conference, August 17-31, 2021, Virtual 315221, International Association of Agricultural Economists.
    2. Turvey, C. G., 2017. "IFAD RESEARCH SERIES 10 - Inclusive finance and inclusive rural transformation," IFAD Research Series 280048, International Fund for Agricultural Development (IFAD).
    3. Carter, Michael R. & Cheng, Lan & Sarris, Alexandros, 2016. "Where and how index insurance can boost the adoption of improved agricultural technologies," Journal of Development Economics, Elsevier, vol. 118(C), pages 59-71.
    4. Khushbu Mishra & Richard A. Gallenstein & Mario J. Miranda & Abdoul G. Sam & Patricia Toledo & Francis Mulangu, 2021. "Insured Loans and Credit Access: Evidence from a Randomized Field Experiment in Northern Ghana," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(3), pages 923-943, May.
    5. Eusébio, Gabriela Dos Santos & Gori-Maia, Alexandre & Silveira, Rodrigo Lanna F., 2017. "Measuring the Farm Level Impact of Rural Credit: A Two-stage Approach," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258551, Agricultural and Applied Economics Association.
    6. Tesfaye, Wondimagegn & Tirivayi, Nyasha, 2020. "Crop diversity, household welfare and consumption smoothing under risk: Evidence from rural Uganda," World Development, Elsevier, vol. 125(C).
    7. Ashimwe, Olive, 2016. "An Economic Analysis Of Impact Of Weather Index-Based Crop Insurance On Household Income In Huye District Of Rwanda," Research Theses 265675, Collaborative Masters Program in Agricultural and Applied Economics.
    8. Singh, Nirvikar, 2018. "Financial Inclusion: Concepts, Issues and Policies for India," MPRA Paper 91047, University Library of Munich, Germany.
    9. Quentin Stoeffler & Michael Carter & Catherine Guirkinger & Wouter Gelade, 2022. "The Spillover Impact of Index Insurance on Agricultural Investment by Cotton Farmers in Burkina Faso," The World Bank Economic Review, World Bank, vol. 36(1), pages 114-140.
    10. Glauber, Joseph W., 2017. "Agricultural insurance and the WTO:," IFPRI book chapters, in: Bouët, Antoine & Laborde Debucquet, David (ed.), Agriculture, development, and the global trading system: 2000– 2015, chapter 10, International Food Policy Research Institute (IFPRI).
    11. F. G. Santeramo & B. K. Goodwin & F. Adinolfi & F. Capitanio, 2016. "Farmer Participation, Entry and Exit Decisions in the Italian Crop Insurance Programme," Journal of Agricultural Economics, Wiley Blackwell, vol. 67(3), pages 639-657, September.
    12. Zareh Asatryan & Annika Havlik, 2020. "The political economy of multilateral lending to European regions," The Review of International Organizations, Springer, vol. 15(3), pages 707-740, July.
    13. Smith, Vincent H. & Glauber, Joseph & Dismukes, Robert, 2016. "Rent Dispersion in the US Agricultural Insurance Industry:," IFPRI discussion papers 1532, International Food Policy Research Institute (IFPRI).
    14. Dougherty, John P. & Flatnes, Jon Einar & Gallenstein, Richard A. & Miranda, Mario J. & Sam, Abdoul G., 2020. "Climate change and index insurance demand: Evidence from a framed field experiment in Tanzania," Journal of Economic Behavior & Organization, Elsevier, vol. 175(C), pages 155-184.
    15. Reboul, E. & Guérin, I. & Nordman, C.J., 2021. "The gender of debt and credit: Insights from rural Tamil Nadu," World Development, Elsevier, vol. 142(C).
    16. Apurba Shee & Calum G. Turvey & Ana Marr, 2021. "Heterogeneous Demand and Supply for an Insurance‐linked Credit Product in Kenya: A Stated Choice Experiment Approach," Journal of Agricultural Economics, Wiley Blackwell, vol. 72(1), pages 244-267, February.
    17. Petraud, Jean & Boucher, Stephen & Carter, Michael, 2015. "Competing theories of risk preferences and the demand for crop insurance: Experimental evidence from Peru," 2015 Conference, August 9-14, 2015, Milan, Italy 211383, International Association of Agricultural Economists.
    18. Paramasivam Ramasamy & Umanath Malaiarasan, 2023. "Agricultural credit in India: determinants and effects," Indian Economic Review, Springer, vol. 58(1), pages 169-195, June.
    19. Kemeze, Francis H. & Miranda, Mario J. & Kuwornu, John & Amin-Somuah, Henry, 2016. "Optimal Management of Runoff Reservoir Supply: The Case of Tono Reservoir in Northern Ghana," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 236030, Agricultural and Applied Economics Association.
    20. Muhammad Yasir Yusuf & Rahmat Fadhil & T. Saiful Bahri & Hafiizh Maulana, 2021. "Comparison study of agricultural insurance government subsidy and farmers? self-subsistent premium in Indonesia," Economia agro-alimentare, FrancoAngeli Editore, vol. 23(2), pages 1-24.

    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:spr:annopr:v:315:y:2022:i:2:d:10.1007_s10479-020-03793-4. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.