Trade-linked pandemic, enforcement gap, and pollution

IF 5.2 1区 经济学 Q1 ECONOMICS
Huanhuan Wang , Zhiqiang Zhang , Xiaoxue Zhao
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引用次数: 0

Abstract

This paper theoretically and empirically investigates the economic and environmental impact of the global COVID-19 pandemic propagated through trade linkages. Exploiting variation in country-month-specific coronavirus infection rates and heterogeneity in Chinese counties' pre-existing trade networks, we estimate a significant negative effect of foreign trading partners' coronavirus infection rate on Chinese counties' trade volumes and economic output, especially among counties specializing in producing non-stay-at-home and non-medical goods. However, counter-intuitively, the negative output effect of trade contraction during the pandemic is not accompanied by a corresponding decline in pollutant emission or improvement in air quality among Chinese counties. We show evidence that the non-effect of trade contraction on the environment arises because local governments, especially those not well monitored by central government on environmental indicators or facing a less binding environmental target, have intentionally relaxed their environmental regulation enforcement on local firms to spur production and mitigate the negative economic shock of the global trade contraction on local GDP during the pandemic.
与贸易有关的流行病、执法差距和污染
本文从理论和实证两方面考察了通过贸易联系传播的全球COVID-19大流行对经济和环境的影响。我们利用国别月特异性冠状病毒感染率的差异和中国各县现有贸易网络的异质性,估计外国贸易伙伴的冠状病毒感染率对中国各县的贸易额和经济产出产生了显著的负面影响,特别是在专门生产非居家用品和非医疗用品的县里。然而,与直觉相反的是,疫情期间贸易收缩的负产出效应并没有伴随着中国各县污染物排放的相应下降或空气质量的改善。我们提供的证据表明,贸易收缩对环境没有影响的原因是,地方政府,特别是那些没有得到中央政府对环境指标的良好监测或面临约束性较低环境目标的地方政府,故意放松了对当地公司的环境监管执法,以刺激生产,减轻疫情期间全球贸易收缩对当地GDP的负面经济冲击。
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
中国经济评论
中国经济评论 ECONOMICS-
CiteScore
10.60
自引率
4.40%
发文量
380
期刊介绍: The China Economic Review publishes original works of scholarship which add to the knowledge of the economy of China and to economies as a discipline. We seek, in particular, papers dealing with policy, performance and institutional change. Empirical papers normally use a formal model, a data set, and standard statistical techniques. Submissions are subjected to double-blind peer review.
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