Is the Price Right? The Case of the Nutrient Abatement in Chinese Hog Production

IF 4.7 3区 经济学 Q1 AGRICULTURAL ECONOMICS & POLICY
Youpei Yan, Robert G. Chambers
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引用次数: 0

Abstract

Understanding how abatement interacts with production requires a framework that recognizes distinct but interdependent technical processes. This paper applies a full-information maximum likelihood (FIML) system with endogenous regime switching to three groups of Chinese hog farms using different abatement strategies. Each group operates along two separable frontiers (one for production and one for abatement) linked through the shared land input. With a first-stage correction for nonrandom technology choice, the joint FIML estimation identifies the active regime, recovers shadow prices, and distinguishes inefficiency from imbalance within each technological setting. The FIML design shows that this structural approach addresses distortions that arise when production and abatement are evaluated within a single-frontier framework or a two-frontier framework without endogenous-switching. Results reveal systematic differences in land requirements, shadow prices, and regime responses across abatement systems. Ignoring technological heterogeneity risks mispricing pollution control, leading to inefficient or uneven regulatory burdens across farms.

价格合适吗?中国生猪生产中的营养减量化案例
要理解减排如何与生产相互作用,需要一个能够识别不同但相互依存的技术过程的框架。本文将一个具有内生制度转换的全信息最大似然(FIML)系统应用于三组采用不同减排策略的中国养猪场。每个群体都沿着两个可分离的边界(一个用于生产,一个用于减排)运作,这些边界通过共享的土地投入联系在一起。通过对非随机技术选择的第一阶段校正,联合FIML估计确定了活跃机制,恢复了影子价格,并区分了每种技术设置中的低效率和不平衡。FIML设计表明,这种结构方法解决了在没有内生转换的单边界框架或双边界框架内评估生产和减排时出现的扭曲。研究结果揭示了在土地需求、影子价格和治理制度响应方面的系统性差异。忽视技术异质性可能会给污染控制定价不当,导致各个农场的监管负担效率低下或不均衡。
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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来源期刊
Agricultural Economics
Agricultural Economics 管理科学-农业经济与政策
CiteScore
7.30
自引率
4.90%
发文量
62
审稿时长
3 months
期刊介绍: Agricultural Economics aims to disseminate the most important research results and policy analyses in our discipline, from all regions of the world. Topical coverage ranges from consumption and nutrition to land use and the environment, at every scale of analysis from households to markets and the macro-economy. Applicable methodologies include econometric estimation and statistical hypothesis testing, optimization and simulation models, descriptive reviews and policy analyses. We particularly encourage submission of empirical work that can be replicated and tested by others.
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