工业水污染与农民适应:来自中国江苏水稻种植的证据

IF 4 3区 经济学 Q1 AGRICULTURAL ECONOMICS & POLICY
Sébastien Marchand, Maimouna Barro, Hang Xiong, Huanxiu Guo
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引用次数: 0

摘要

工业化过程中工业水污染从城市向农村的转移会影响农业生产,刺激农民的适应行为。本研究以江苏省为例,探讨制造业企业的工业水污染对稻米生产的影响。本文结合中国农村定点调查数据和中国环境统计数据库数据,采用扩展的超对数生产函数来区分工业水污染对农民适应行为的影响。结果表明,工业化学需氧量(COD)对水稻生长具有直接的生物学效应,使水稻产量降低3.76% ~ 4.17%。这种有害影响在距离村庄中心5公斤的半径范围内最为明显。此外,农民增加经营投入,以减轻工业水污染的不利影响。这些调查结果强调需要在农村地区制订严格的环境条例和加强环境教育,以促进发展中国家制造业和农业的可持续发展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Industrial water pollution and farmer adaptation: Evidence from rice farming in Jiangsu, China

The shift of industrial water pollution from urban to rural areas during industrialization can impact agricultural production and stimulate farmers’ adaptive behavior. As an illustration, this study examines the impact of industrial water pollution from manufacturing firms on rice production in Jiangsu, China. By combining data from the China Rural Fixed Point Survey with the China Environmental Statistics Database, we employ an extended translog production function to distinguish between the effects of industrial water pollution and farmers’ adaptation behaviors. Our results demonstrate that industrial chemical oxygen demand (COD) has a direct biological effect on paddy rice growth, reducing rice yields by 3.76 to 4.17 percent. This detrimental effect is most pronounced within a radius of 5 kg from the village center. Additionally, farmers increase their operating inputs to mitigate the adverse effects of industrial water pollution. These findings underscore the need for stringent environmental regulations and enhanced environmental education in rural areas to promote the sustainable development of both manufacturing industry and agriculture in developing countries.

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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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