UFV - Teses
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Item A shot of resilience: evaluating the potential of parametric drought insurance for non irrigated coffee crops in southern Minas Gerais(Universidade Federal de Viçosa, 2024-02-22) Schmidt, Luís Alberto Campos; Braga, Marcelo José; Lavorato, Mateus PereiraCoffee production in Brazil, particularly in the South/Southwest region of Minas Gerais, faces challenges due to increasing drought frequency and severity. This study investigates the feasibility of parametric drought insurance as a risk management tool for non-irrigated coffee growers in this region. We analyze historical coffee yield data and weather data to assess the effectiveness of parametric drought insurance in reducing risk exposure. Different payout structures are proposed, considering trigger levels, payout intervals, and the unique biennial bearing cycle of coffee trees. The performance of these contracts is evaluated under different scenarios to account for premium loading and government subsidies. Results demonstrate the potential of parametric drought insurance to mitigate income volatility during dry years. The financial safety net provided by the insurance can be particularly beneficial for risk-averse coffee growers. Furthermore, our findings suggest that parametric insurance might require continued subsidies to achieve widespread adoption, especially considering risk-averse farmers who are more sensitive to basis risk. By estimating the relationship between drought indices and yields across different yield distribution quantiles for various municipalities over time, this study provides a more robust understanding of how droughts affect yields at different points in the distribution. Subsequently, this study evaluates the effectiveness of the proposed insurance product from the perspective of coffee farmers through efficiency analysis. First, we compare the final wealth trajectories of farmers with and without insurance, considering downside risks measured by mean-semivariance. Second, we evaluate whether the insurance offers an attractive risk-return trade-off for different risk aversion profiles using Stochastic Efficiency with Respect to a Function (SERF). This study contributes to advancements in agricultural risk management strategies by offering a comprehensive analysis of parametric drought insurance for tree crops, particularly coffee. It offers valuable insights for policymakers and insurance providers seeking to enhance risk management strategies for coffee growers in Brazil. Keywords: Parametric drought insurance. Coffee production. Agricultural risk manage- ment. Basis risk. Panel Quantile Regression. Efficiency analysis.