The Climate Challenge for Agriculture and the Value of Climate Services: Application to Coffee-Farming in Peru

F. Lechthaler, A. Vinogradova
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引用次数: 32

Abstract

The use of climate information in economic activities, typically provided by climate services, may serve as a possible adaptation strategy to changing climate conditions. The present paper analyzes the value of climate services which are aimed at improving agricultural productivity through a reduction in weather-associated risks. The first part provides a theoretical foundation for estimating the value of climate services based on a stochastic life-cycle model of a rural household which faces uncertainty with respect to the timing and the size of an adverse weather shock. We subsequently calibrate the model to match the environment of coffee producers in the Cusco region of Peru and provide a range of estimates for the value of climate services for a single average household, the region, and the country as a whole. In the second part of the paper we use empirical data to corroborate the numerical estimates. We assess the value of climate services in the agricultural sector in Cusco based on a choice experiment approach. Data are analyzed using a standard as well as a random parameter logit model allowing for preference heterogeneity. Farmers show a significant willingness-to-pay for enhanced climate services which is particularly related to the service accuracy and geographic resolution. On average, the yearly value of a climate service in the coffee sector is found to be $21 per ha and $8.2 million for Peru as a whole.
农业面临的气候挑战和气候服务的价值:在秘鲁咖啡种植中的应用
在经济活动中利用气候信息(通常由气候服务提供)可作为一种可能的适应气候条件变化的战略。本文分析了旨在通过减少与天气有关的风险来提高农业生产力的气候服务的价值。第一部分为基于农户随机生命周期模型估算气候服务价值提供了理论基础,农户面临不利天气冲击的时间和规模的不确定性。随后,我们对模型进行了校准,使其与秘鲁库斯科地区咖啡生产者的环境相匹配,并对单个普通家庭、该地区和整个国家的气候服务价值提供了一系列估计。在论文的第二部分,我们用实证数据来证实数值估计。我们基于选择实验方法评估库斯科农业部门气候服务的价值。使用标准和随机参数logit模型分析数据,允许偏好异质性。农民表现出极大的意愿为增强的气候服务付费,这尤其与服务的准确性和地理分辨率有关。平均而言,咖啡部门的气候服务每年的价值为每公顷21美元,整个秘鲁的价值为820万美元。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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