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Addressing Climate Change Through Risk Mitigation: Welfare Implications of Index Insurance in Northeastern Tanzania

  • Jon Einar Flatnes
  • Michael R. Carter
Chapter

Abstract

While index insurance offers a compelling solution to the problem of covariant risk among smallholder farmers in developing countries, most rainfall-based contracts suffer from poor quality due to a low correlation between the index and farmer losses. Moreover, a lack of historical household-level yield data has made it difficult to quantify the level of basis risk and the impact on farmer welfare. This paper utilizes a unique dataset of plot-level historical rice yields in Northeastern Tanzania to estimate the level of basis risk and the welfare implications of two hypothetical index insurance contracts. One is a standard area-yield contract, while the other uses an index based on publicly available high-resolution satellite data that are mapped to actual yields to minimize basis risk. Our results suggest that the satellite index explains approximately 55 % of the variation in zone-level yields across years. Moreover, despite the presence of large basis risk under both contracts, they are each found to improve the welfare of the average farmer in the sample. Finally, we show that the demand for satellite contracts may be as high as 30 % under reasonable assumptions about loading costs and risk preferences.

Keywords

Agriculture Basis risk Index insurance Microinsurance Remote sensing Tanzania 

JEL Classification

O10 O13 O16 Q14 

Notes

Acknowledgments

We would like to thank Travis Lybbert, Stephen Boucher, Ghada Elabed, Jean Paul Petraud, Isabel Call, Wenbo Zou, Emilia Tjernstrom, Thomas Barre, Eliana Zeballos, Patrick McLaughlin, Jacob Humber, Asare Twum Barima and Abbie Turianski for their insightful comments and feedback. We are also grateful to VisionFund Tanzania and the enumerators, community leaders, and participants in our survey for their time and service. This research was made possible, in part, through funding provided by the U.S. Agency for International Development through the BASIS Assets and Market Access Collaborative Research Support Program.

References

  1. Bhattacharya BK, Mallick K, Nigam R, Dakore K, Shekh AM (2011) Efficiency based wheat yield prediction in semi-arid climate using surface energy budgeting with satellite observations. Agric For Meteorol 151:1394–1408CrossRefGoogle Scholar
  2. Carter MR, Laajaj R (2009) Using satellite imagery as the basis for index insurance contracts in West Africa. http://i4.ucdavis.edu/projects/contracts/files/laajaj-using-satelliteimagery.pdf. Accessed 5 Oct 2012
  3. Clarke DJ (2016) A theory of rational demand for index insurance. Am Econ J Microecon 8(1):283–306CrossRefGoogle Scholar
  4. Clarke DJ, Mahul O, Rao KN, Verma N (2012) Weather based crop insurance in India. Policy research working paper 5985, MarchGoogle Scholar
  5. Cole S, Giné X, Tobacman J, Topalova P, Townsend R, Vickery J (2013) Barriers to household risk management: evidence from India. Am Econ J Appl Econ 5(1):104–135CrossRefPubMedPubMedCentralGoogle Scholar
  6. EARS (2012) Environmental analysis and remote sensing, monitoring and early warning validation results. http://www.earlywarning.nl/frames/Frame_val.htm. (crop yield in Africa link). Accessed 15 May 2015
  7. Giné X, Yang D (2009) Insurance, credit, and technology adoption: field experimental evidence from Malawi. J Dev Econ 89(1):1–11CrossRefGoogle Scholar
  8. Gine X, Menand L, Townsend R, Vickery J (2010) Microinsurance, a case study of the Indian rainfall index insurance market. World Bank policy research working paper no. 5459Google Scholar
  9. Jensen ND, Barrett CB, Mude AG (2014) Basis risk and the welfare gains from index insurance: evidence from Northern Kenya. Working paperGoogle Scholar
  10. Martyniak L (2007) Response of spring cereals to a deficit of atmospheric precipitation in the particular stages of plant growth and development. Agric Water Manag 95(3):171–178CrossRefGoogle Scholar
  11. Merkovich R (2014) Tanzania crop yield study. Internal reportGoogle Scholar
  12. Miranda MJ (1991) Area-yield crop insurance reconsidered. Am J Agric Econ 73:233–242CrossRefGoogle Scholar
  13. Prince SD, Brown de Coltound E, Kravitz LL (1998) Evidence from rain use efficiencies does not indicate extensive Sahelian desertification. Glob Change Biol 4:359–374CrossRefGoogle Scholar
  14. Rosema A (1993) Using METEOSAT for operational evapotranspiration and biomass monitoring in the Sahel region. Remote Sens Environ 46:27–44CrossRefGoogle Scholar
  15. Sims PL, Singh JS (1978) The structure and function of ten Western North American grasslands: intra-seasonal dynamics and primary producer compartments. J Ecol 66:547–572CrossRefGoogle Scholar
  16. Smith V, Watts M (2009) Index based agricultural insurance in developing countries: feasibility, scalability and sustainability. A paper submitted to the bill and Melinda gates foundation. http://www.agecon.ucdavis.edu/research/seminars/files/vsmith-indexinsurance.pdf
  17. Staggenborg SA, Dhuyvettere KC, Gordon WB (2008) Grain sorghum and corn comparisons: yield, economic and environmental responses. Agricultural experiment station working paper, Kansas State University, Manhattan, KansasGoogle Scholar
  18. Woodard JD, Pavlista AD, Schnitkey GD, Burgener PA, Ward KA (2012) Government insurance program design, incentive effects, and technology adoption: the case of skip-row crop insurance. Am J Agric Econ 94:823–837CrossRefGoogle Scholar

Copyright information

© Springer International Publishing AG 2016

Authors and Affiliations

  1. 1.Department of Agricultural, Environmental, and Development EconomicsThe Ohio State UniversityColumbusUSA
  2. 2.Department of Agricultural and Resource EconomicsUniversity of California, DavisDavisUSA

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