低碳治理对能源环境效率的影响:来自中国低碳城市试点政策的证据

IF 2.8 3区 经济学 Q2 BUSINESS Emerging Markets Finance and Trade Pub Date : 2023-10-26 DOI:10.1080/1540496x.2023.2267735
Kai Tang, Kun Zhang
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引用次数: 0

摘要

能源环境效率直接关系到全球气候变化和可持续发展。本研究采用交错DiD设计,通过中国284个城市的面板数据估计低碳治理对能源环境效率的影响。结果表明,低碳治理显著提高了统一能源-环境效率和纯粹能源-环境效率。异质性分析表明,中心城市低碳治理对能源环境效率的影响不显著,而外围城市低碳治理对能源环境效率的影响显著,间接印证了规模收益递减规律。同时,资源型和非资源型城市的低碳治理都提高了能源环境效率。然而,在资源型城市中,成长型和成熟型城市的低碳治理有利于提高能源环境效率,而在衰退型和再生型城市中,这种作用消失。机制检验表明,低碳治理通过集约利用能源和碳减排渠道,能立即提高能源环境效率。中间效应渠道主要由财政分权、产业结构升级、产业集聚、创新和市场化驱动,其中财政分权发挥主导作用。关键词:气候政策;低碳治理;能源环境效率[j] [j]感谢张春平对本文早期版本的指导。我们也感谢匿名推荐人提供的有益建议。所有的错误都是我们自己的。披露声明作者未报告潜在的利益冲突。Montinola、Qian和Weingast (Citation1995)认为,“力争上游”是指在合理的财政分权制度下,将一部分独立的财政权责下放给地方政府,以提高地方政府对潜在竞争者的需求和偏好的敏感性,进而激励地方政府竞争性地提高投资效率,直至达到上游。可持续发展要求经济活动尽可能减少污染和温室气体排放。根据Zhang等人(Citation2020)的观点,我们将二氧化碳和所有污染物排放视为非期望输出,以便更精确地衡量能源环境效率。四个直辖市是北京、上海、天津和重庆。15个副省级城市除深圳、大连、青岛、宁波、厦门外,均为省会城市。27个省会城市包括石家庄、沈阳、哈尔滨、杭州、福州、济南、广州、武汉、成都、昆明、兰州、台北、南宁、银川、太原、长春、南京、合肥、南昌、郑州、长沙、海口、贵阳、西安、西宁、呼和浩特、拉萨和乌鲁木齐。此外,台北市因资料不足,不在考虑之列。本研究受国家社会科学基金资助[资助号:21bjy229]。
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The Effects of Low-Carbon Governance on Energy-Environmental Efficiency: Evidence from China’s Low-Carbon City Pilot Policy
ABSTRACTEnergy-environmental efficiency directly relates to global climate change and sustainable development. The research applies a staggered DiD design to estimate the effects of low-carbon governance on energy-environmental efficiency via panel data of 284 cities in China. Results show that low-carbon governance significantly improves both unified energy-environmental efficiency and pure energy-environmental efficiency. Heterogeneity analysis reveals that low-carbon governance in central cities has no significant effect on energy-environmental efficiency, while that in peripheral cities can improve energy-environmental efficiency, which indirectly confirms the law of decreasing returns to scale. At the same time, low-carbon governance in both resource-based and non-resource-based cities improves energy-environmental efficiency. However, among resource-based cities, low-carbon governance in growth and mature cities facilitates energy-environmental efficiency, while this effect disappears in declining and regeneration cities. Mechanism tests suggest that low-carbon governance immediately improves energy-environmental efficiency through intensive energy use and carbon emission reduction channels. The intermediate effect channels are mainly driven by fiscal decentralization, industrial structure upgrading, industrial agglomeration, innovation, and marketization, where fiscal decentralization plays a dominant role.KEYWORDS: Climate policylow-carbon governanceenergy-environmental efficiencyEBMJEL: C61Q43R38 AcknowledgmentsWe are grateful to Chun-Ping Chang for his guidance on an earlier version of this article. We are also grateful to the anonymous referees for helpful suggestions. All errors are our own.Disclosure statementNo potential conflict of interest was reported by the author(s).Notes1. According to Montinola, Qian, and Weingast (Citation1995), “Race to the top” denotes that, under a rational fiscal decentralization regime, a portion of independent fiscal rights and responsibilities are devolved for local governments to increase their sensitivity to the demands and preferences of potential competitors, and then to motivate local governments for competitively improving investment efficiency until the top.2. Sustainable development requires that economic activities reduce pollution and greenhouse gas emissions as much as possible. Following Zhang et al. (Citation2020), we consider CO2 and all pollutant emissions as non-desired outputs in order to measure energy environmental efficiency more precisely.3. The four municipalities directly under the central government are Beijing, Shanghai, Tianjin, and Chongqing. Except for Shenzhen, Dalian, Qingdao, Ningbo, and Xiamen, all of the 15 sub-provincial cities are provincial capitals. The 27 provincial capitals include Shijiazhuang, Shenyang, Harbin, Hangzhou, Fuzhou, Jinan, Guangzhou, Wuhan, Chengdu, Kunming, Lanzhou, Taipei, Nanning, Yinchuan, Taiyuan, Changchun, Nanjing, Hefei, Nanchang, Zhengzhou, Changsha, Haikou, Guiyang, Xi’an, Xining, Hohhot, Lhasa, and Urumqi. In addition, Taipei City is not considered due to the unavailability of data.Additional informationFundingThis work was supported by the National Social Science Foundation of China [Grant No.21BJY229].
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182
期刊介绍: Emerging Markets Finance and Trade publishes research papers on financial and economic aspects of emerging economies. The journal features contributions that are policy oriented and interdisciplinary, employing sound econometric methods, using macro, micro, financial, institutional, and political economy data. Geographical coverage includes emerging market economies of Europe, the Balkans, the Middle East, Asia, Africa, and Latin America. Additionally, the journal will publish thematic issues and occasional special issues featuring selected research papers from major conferences worldwide.
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