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首页> 外文期刊>Journal of Agricultural and Resource Economics >Estimating Agricultural Pollution Abatement Costs at the Plot Level Using Experimental Data: A Maximum Entropy Approach
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Estimating Agricultural Pollution Abatement Costs at the Plot Level Using Experimental Data: A Maximum Entropy Approach

机译:使用实验数据估算样地的农业污染减排成本:最大熵方法

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摘要

This paper uses a directional output distance function to estimate a multi-output production frontier for a sample of experimental plots grown for the Sustainable Agriculture Farming Systems project at the University of California, Davis. Cross-sectional technical efficiency indices are estimated that take into account two proxies for undesirable output: number of trips across a field as a proxy for air pollution and/ or soil erosion, and pints of pesticides applied to account for potential leachingand/or health risks. Shadow price estimates based on marginal rates of transformation ranged from 8 dollar - 21 dollar for trips, while shadow prices for pints of pesticides averaged 23 dollar - 37dollar.
机译:本文使用方向输出距离函数来估算为加利福尼亚大学戴维斯分校的可持续农业耕作系统项目种植的试验田样的多产出生产边界。估算的横断面技术效率指数考虑到了不良产出的两个代表:代表空气污染和/或水土流失的田野出行次数,以及用于解决潜在浸出和/或健康风险的一品脱农药。根据边际转化率估算的影子价格范围为旅行的8美元至21美元,而一品脱农药的影子价格平均为23美元至37美元。

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