Dissertation Abstract

Modelling Future Demand for Weather Index Insurance as an Adaptation Instrument to Drought Risk Event in Central-West Nigeria

Awolala, David O  2016  

Department of Economics, Universite Chiekh Anta Diop (Senegal), 234 pp.

There has been increase in both the frequency of extreme weather events and the number of vulnerable rural population. Converging results from climate model simulations projected that extreme climatic events will result in a long-term 20-30% loss in crop yields and by 2020, 50% of Nigeria’s agro-ecological zones will be food insecure. Failures of traditional crop insurance programmes to provide financial risk protection and the exclusion from formal financial services have further increased farmers exposures to more severe impact of extreme climate risk events. With ideal levels of adaptation, some residual impacts would still lead to economic losses. Parametric weather insurance is a global consensus to transfer farmers’ risks and increase supports for agricultural lending in developing economies. This study focus on modelling of future demand for weather index insurance as an adaptation instrument to drought risk events in Central-West Nigeria. Results show that monthly rainfall uncertainties keep expanding significantly during the most critical maize growth period threatening crop performance. Radiation index of dryness of 1.394, at an evaporation rate of 949 mm/year and rainfall deficit of 366 mm/year signal that the region is rapidly shifting towards aridity. About 65% of respondents are willing to insure in weather index insurance. The marginal effects from heckman ordered probit selection model indicated that farmers’ experience, farm size cultivated, access to farmers’ groups and linkages, income, extension services and awareness of agricultural insurance will significantly increase farmers’ willingness to insure. Socioeconomic drivers of willingness to buy weather insurance product are access to early seasonal weather forecast, farm income livelihood, and dependence on rain water collection will significantly increase farmers’ decision to buy rainfall insurance product. Interval regression estimated mean WTP as N457.28 per mm of rainfall deficit (std. err. 27.951) per farmer with a significant log pseudolikelihood function of -36.56. The market demand for rainfall index insurance is elastic. Mode of insurance uptake reveals that 72.5% would buy after-harvest lumpsum weather insurance, 55.7% opted for group insurance and after initial take up, only 31.1% would continue if there is no payout for next 5 years. Rainfall index insurance is economically feasible with an annual economic profit of N323million and commercially viable given a sustainability index of 0.19 in expected economic benefit (EEB) at 10% interest rate. Economic loss is triggered at rainfall below 377mm threshold during crop development stage while loss is triggered at below 140 mm rainfall in the reproduction stage of maize growth by crossing these critical thresholds of rainfall requirements. Designed prototype weather insurance contract payout indemnity within the most critical crop growth phases to protect income losses and build farmers’ resilience.