环境监管如何影响低碳转型?证据来自中国的钢铁行业

IF 4.5 3区 管理学 Q1 OPERATIONS RESEARCH & MANAGEMENT SCIENCE Annals of Operations Research Pub Date : 2023-07-24 DOI:10.1007/s10479-023-05480-6
Xiaoling Wang, Yu Chen, Yizhe Dong, Tianyue Zhang, Baofeng Shi
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引用次数: 0

摘要

综合评价和识别碳排放效率的关键监管决定因素对中国的低碳转型非常重要。因此,本文首先采用非期望的全球超混合度量方法来计算中国钢铁工业的CEE (ISI)。然后,我们进一步使用空间误差和阈值回归模型分别研究了异质性环境法规对中东欧的空间和非线性影响。实证结果表明:(1)中国地区间差异显著,东部地区得分最高,其次是西部和中部地区,东北地区得分最低;(2)命令与控制和市场激励监管都促进了企业的绩效提升,而公众参与方式对绩效提升的贡献并不显著;(3)三种环境法规对中东欧均表现出非线性阈值效应;(4)开放水平、技术进步和产业集中度对效率增益有促进作用,城镇化水平对效率增益有负向影响。我们的研究结果对环境法规的设计具有重要意义。
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How does environmental regulation impact low-carbon transition? Evidence from China’s iron and steel industry

Comprehensive evaluation and identification of the critical regulatory determinants of carbon emission efficiency (CEE) are very important for China’s low-carbon transition. Accordingly, this paper first employs an undesirable global super-hybrid measure approach to calculate the CEE of China’s iron and steel industry (ISI). We then further use spatial error and threshold regression models to examine the spatial and non-linear effects of heterogeneous environmental regulations on CEE, respectively. Our empirical results show that (1) CEE varies significantly across China’s regions, with the eastern region having the highest CEE score, followed by the western and central regions, with the northeast region ranking the lowest; (2) command-and-control and market-incentive regulations both promote CEE, whereas the public participation approach does not significantly contribute to performance gains; (3) all three types of environmental regulations exhibit a non-linear threshold effect on CEE; (4) openness level, technological progress, and industrial concentration enhance efficiency gains, while urbanization level exerts a negative impact on CEE. Our findings have important implications for the design of environmental regulations.

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来源期刊
Annals of Operations Research
Annals of Operations Research 管理科学-运筹学与管理科学
CiteScore
7.90
自引率
16.70%
发文量
596
审稿时长
8.4 months
期刊介绍: The Annals of Operations Research publishes peer-reviewed original articles dealing with key aspects of operations research, including theory, practice, and computation. The journal publishes full-length research articles, short notes, expositions and surveys, reports on computational studies, and case studies that present new and innovative practical applications. In addition to regular issues, the journal publishes periodic special volumes that focus on defined fields of operations research, ranging from the highly theoretical to the algorithmic and the applied. These volumes have one or more Guest Editors who are responsible for collecting the papers and overseeing the refereeing process.
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