Stochastic Technology, Risk Preferences, and Adoption of Site‐Specific Technologies

Murat Işık
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引用次数: 170

Abstract

This paper develops a model of farmer decision-making to examine the extent to which uncertainties about the performance of site-specific technologies (SSTs) and about the weather impact the value of these technologies. The model uses the jointly estimated risk and technology parameters to examine the impacts of SSTs on returns and nitrogen pollution. The availability of uncertain soil information and production uncertainty can lead risk-averse farmers to apply more fertilizers and generate more pollution. Ignoring the impact of uncertainty and risk preferences of farmers leads to a significant overestimation of the economic and environmental benefits of SSTs and underestimation of the required subsidy for inducing adoption of SSTs. The model that accounts for uncertainties about soil conditions and production as well as risk preferences of farmers provides an explanation for the low observed adoption rates of SSTs. Improvements in the accuracy of SSTs have the potential to increase the incentives for adoption.
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随机技术、风险偏好和现场特定技术的采用
本文开发了一个农民决策模型,以检验特定地点技术(SSTs)性能的不确定性和天气对这些技术价值的影响程度。该模型使用联合估计的风险和技术参数来检验SSTs对收益和氮污染的影响。不确定的土壤信息和生产的不确定性可能导致不愿承担风险的农民施用更多的肥料,从而产生更多的污染。忽视不确定性和农民风险偏好的影响,导致严重高估了SSTs的经济和环境效益,低估了诱导采用SSTs所需的补贴。该模型考虑了土壤条件和生产的不确定性以及农民的风险偏好,为SSTs的低采用率提供了解释。提高sst的准确性有可能增加采用sst的动机。
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