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作 者:朱婷[1] 李益静 ZHU Ting;LI Yi-jing(School of Economics,Shanghai University,Shanghai 200444)
机构地区:[1]上海大学经济学院,上海200444
出 处:《软科学》2024年第11期112-119,共8页Soft Science
基 金:上海市哲学社会科学项目(2019BGL033)。
摘 要:利用工业企业数据库与工业企业污染数据库跨库匹配的微观数据,基于中国首次实施清洁生产标准这一准自然实验,从污染源头防控视角考察了清洁生产标准实施后制造业企业减污降碳的效果。研究发现:(1)清洁生产标准的实施显著降低了制造业企业的碳排放强度和污染产生强度。(2)要素再配置效应和技术补偿效应是推动制造业企业实现生产端减污降碳的重要机制。(3)运用三重差分模型对样本进行异质性分析的结果表明,制造业企业减污降碳效果因企业外部融资约束、所在地区煤炭资源禀赋和所在地区整体污染治理能力等企业和地区特征而异。This paper utilizes micro-level data obtained from cross-database matching between industrial enterprise databases and industrial pollution databases.Leveraging China's initial implementation of clean production standards as a quasi-natural experiment,this paper examines the effects of these standards on pollution reduction and carbon mitigation in manufacturing enterprises from the perspective of source control.The results show that:(1) The implementation of clean production standards significantly reduces the carbon emission intensity and pollution generation intensity of manufacturing enterprises.(2) Factor reconfiguration effects and technological compensation effects are vital pathways driving manufacturing enterprises toward production-side pollution reduction and carbon mitigation.(3) The application of a triple-difference model for heterogeneous analysis of the sample reveals that the effects of pollution reduction and carbon mitigation in manufacturing enterprises vary depending on enterprise characteristics such as external financing constraints and regional characteristics such as coal resource endowment and overall pollution control capabilities.
分 类 号:X322[环境科学与工程—环境工程] F424[经济管理—产业经济]
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