利用灵活的副业生产随机前沿模型衡量农业的技术和环境低效率

IF 3.4 2区 经济学 Q1 AGRICULTURAL ECONOMICS & POLICY
Ioannis Skevas
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引用次数: 0

摘要

鉴于农场迫切需要在保持经济可行性的同时减少温室气体排放,本文基于灵活的多方程分产随机前沿模型,分析了技术和环境效率低下及其决定因素,该模型通过共轭函数考虑了好产出和坏产出之间的随机依赖性。荷兰奶牛场的实证应用说明,如果忽略好产出和坏产出之间的依赖关系,低效率得分及其决定因素的估计值就会发生扭曲。实证结果表明,好的产出(牛奶)和坏的产出(甲烷排放)之间存在很强的正相关性,这在分布的上端尤为明显。值得注意的是,农场在最大化其好产出和最小化其坏产出方面表现出很高的效率。补贴与好产出低效率呈负相关,但与坏产出低效率呈正相关,而存栏密度与两种产出的低效率均呈负相关。忽略产出依赖性会导致低效率估计值失真,特别是影响其决定因素的估计值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Technical and environmental inefficiency measurement in agriculture using a flexible by‐production stochastic frontier model
In light of the urgent need for farms to mitigate greenhouse gas emissions while maintaining economic viability, this paper analyses technical and environmental inefficiencies and their determinants based on a flexible multi‐equation by‐production stochastic frontier model, which accounts for the stochastic dependence between good and bad outputs via a copula function. An empirical application to Dutch dairy farms illustrates the distortions in the inefficiency scores and in the estimates of their determinants that occur when the dependence between good and bad outputs is ignored. The empirical results indicate a strong positive dependence between the good output (milk) and the bad output (methane emissions), which is particularly pronounced in the upper tail of the distribution. Notably, farms exhibit high efficiency in maximising their good output and minimising their bad output. Subsidies are negatively related to good output inefficiency but positively related to bad output inefficiency, while stock density exhibits a negative association with inefficiencies in both outputs. Disregarding output dependence leads to distortions in inefficiency estimates, particularly affecting the estimates for their determinants.
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来源期刊
Journal of Agricultural Economics
Journal of Agricultural Economics 管理科学-农业经济与政策
CiteScore
7.90
自引率
2.90%
发文量
48
审稿时长
>24 weeks
期刊介绍: Published on behalf of the Agricultural Economics Society, the Journal of Agricultural Economics is a leading international professional journal, providing a forum for research into agricultural economics and related disciplines such as statistics, marketing, business management, politics, history and sociology, and their application to issues in the agricultural, food, and related industries; rural communities, and the environment. Each issue of the JAE contains articles, notes and book reviews as well as information relating to the Agricultural Economics Society. Published 3 times a year, it is received by members and institutional subscribers in 69 countries. With contributions from leading international scholars, the JAE is a leading citation for agricultural economics and policy. Published articles either deal with new developments in research and methods of analysis, or apply existing methods and techniques to new problems and situations which are of general interest to the Journal’s international readership.
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