The DOI matches its Crossref record; 18 of the 18 references it cites were found in a registry or an index.
Is There Too Much Hype about Index-based Agricultural Insurance?
Abstract
Individual crop insurance has been largely abandoned in developing countries and replaced by insurance pilots based on weather indices. These pilot schemes have encountered low demand. Research suggests that better-off farmers may already be insured via income diversification, their assets and social networks, and may achieve profit-maximising portfolios without formal insurance contracts. They would be interested in such contracts only if they reliably reduced their exposure to risk at lower costs than their self-insurance mechanisms. Conversely, poor farmers are not able to self-insure adequately, have to trade-off returns for reduced risk and could, therefore, benefit from a well-designed insurance. But they are cash/credit constrained and, therefore, cannot advance the money before sowing time to buy insurance that pays out only after the harvest. Index insurance, therefore, cannot be scaled up. Even if a few farmers purchase it, governments still will need to run relief programmes for the uninsured. Standard ways suggested to improve the index insurance, such as reducing basis risks, educating farmers and improving weather data, do not improve the ability of small farmers to purchase insurance and may not improve product design sufficiently to be competitive with self-insurance of the better-off farmers.
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Cites
Time Discounting and Time Preference: A Critical Review
Frederick, S., Loewenstein, G. F., & O’Donoghue, T. (2002) · Journal of Economic Literature · doi:10.1257/002205102320161311 · Cited by 6,381
Transforming Traditional Agriculture.
Balogh, T., & Schultz, T. (1964) · The Economic Journal · doi:10.2307/2228861 · Cited by 1,972
Attitudes Toward Risk: Experimental Measurement in Rural India
Binswanger, H. P. (1980) · American Journal of Agricultural Economics · doi:10.2307/1240194 · Cited by 1,619
Wealth, Weather Risk and the Composition and Profitability of Agricultural Investments
Rosenzweig, M. R., & Binswanger, H. P. (1993) · The Economic Journal · doi:10.2307/2234337 · Cited by 1,157
Microeconomics of technology adoption
Foster, A. D., & Rosenzweig, M. R. (2010) · Annual Review of Economics · doi:10.1146/annurev.economics.102308.124433 · Cited by 1,055
Risk and Time Preferences: Linking Experimental and Household Survey Data from Vietnam
Tanaka, T., Camerer, C. F., & Nguyen, Q. (2010) · American Economic Review · doi:10.1257/aer.100.1.557 · Cited by 1,026
Behavioural and material determinants of production relations in agriculture
Binswanger, H. P., & Rosenzweig, M. R. (1986) · Journal of Development Studies · doi:10.1080/00220388608421994 · Cited by 929
Risk and Time Preferences: Linking Experimental and Household Survey Data from Vietnam
Tanaka, T., Camerer, C. F., & Nguyen, Q. (2016) · Behavioral Economics of Preferences, Choices, and Happiness · doi:10.1007/978-4-431-55402-8_1 · Cited by 731
Discount rates and credit markets: Theory and evidence from rural india
Pender, J. L. (1996) · Journal of Development Economics · doi:10.1016/s0304-3878(96)00400-2 · Cited by 342
Risk aversion and credit constraints in farmers' decision‐making: A reinterpretation
Binswanger, H. P., & Sillers, D. A. (1983) · The Journal of Development Studies · doi:10.1080/00220388308421885 · Cited by 299
Cited by
Index Insurance for Developing Countries
Miranda, M. J., & Farrin, K. (2012) · Applied Economic Perspectives and Policy · doi:10.1093/aepp/pps031 · Cited by 310
Blattman, C., & Ralston, L. (2015) · doi:10.2139/ssrn.2622220 · Cited by 187
Metadata
- Authors
- Binswanger-Mkhize, H. P.
- Venue
- Journal of Development Studies
- Publisher
- Informa UK Limited
- Published
- 2012-02
- Volume
- 48
- Issue
- 2
- Pages
- 187-200
- ISSN
- 0022-0388 (ISSN-L)
- 1743-9140
- OpenAlex
- W1985818520
- Cited by
- 289
- References
- 18
- FWCI
- 25.99
- Type
- journal article
- Language
- en
- Open access
- closed
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