Article(id=1321914783385899809, tenantId=1146029695717560320, journalId=1146120045056339983, issueId=1321914766940025468, articleNumber=null, orderNo=null, doi=10.12404/j.issn.1002-980X.J25011012, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1736438400000, receivedDateStr=2025-01-10, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1793098644348, onlineDateStr=2026-10-27, pubDate=1758729600000, pubDateStr=2025-09-25, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1793098644348, onlineIssueDateStr=2026-10-27, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1793098644348, creator=13701087609, updateTime=1793098644348, updator=13701087609, issue=Issue{id=1321914766940025468, tenantId=1146029695717560320, journalId=1146120045056339983, year='2025', volume='44', issue='9', pageStart='1', pageEnd='154', issueExtLink='null', onlineDate='null', pubDate='1758729600000', pubDateStr='2025-09-25', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1793098640427, creator='13701087609', updateTime=1793098979619, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1321916189689889711, tenantId=1146029695717560320, journalId=1146120045056339983, issueId=1321914766940025468, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1321916189689889712, tenantId=1146029695717560320, journalId=1146120045056339983, issueId=1321914766940025468, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=111, endPage=125, ext={EN=ArticleExt(id=1321914784929403682, articleId=1321914783385899809, tenantId=1146029695717560320, journalId=1146120045056339983, language=EN, title=Pilot Zones for Green Finance and Corporate Carbon Emissions: Evidence from Heavy-polluting Enterprises, columnId=1149284496320578211, journalTitle=Journal of Technology Economics, columnName=Enterprise Technology Economics, runingTitle=null, highlight=null, articleAbstract=

Heavy-polluting enterprises are a vital component of China's industrial system, and their low-carbon transition serves as a critical pathway for achieving carbon peaking and carbon neutrality goals. The pilot zones for green finance reform and innovation (PZGFRI) in five provinces and eight cities from 2017 were employed as an exogenous shock, and the data from A-share listed enterprises during the period from 2012 to 2021 were utilized. A difference-in-differences-in-differences model (DDD) was constructed to systematically evaluate the policy's impact on the carbon emissions of heavy-polluting enterprises and its transmission mechanisms. The results reveal that PZGFRI significantly reduces carbon emission among these enterprises. This effect is found to initially strengthen and subsequently weaken post-implementation. Mechanism tests indicate that the policy functions through three channels: fund support, technological innovation, and environmental awareness. At the regional level, the expansion of green credit scale and the further development of green insurance are promoted in the pilot areas. At the enterprise level, the policy is shown to guide improvements in both the quantity and quality of green innovation. It is also found to enhance the environmental protection awareness of senior executives. Heterogeneity analysis indicates more pronounced policy effects in state-owned enterprises, highly financialized firms, and enterprises with superior capital allocation efficiency. This further demonstrates that PZGFRI effectively supports carbon reduction through corporate utilization of financial instruments and rational capital allocation. It provides micro-level evidence for optimizing green finance policy portfolios and establishing differentiated regional promotion mechanisms.

, authors=Shixiong Cheng1, Hui Chen1, Lichen Tang2, Mi Chen3, authorsList=Shixiong Cheng, Hui Chen, Lichen Tang, Mi Chen, authorCompany=null, correspAuthors=null, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=null, pdfFileSize=null, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1321914785256559395, articleId=1321914783385899809, tenantId=1146029695717560320, journalId=1146120045056339983, language=CN, title=绿色金融试点政策与企业碳排放——来自重污染企业的证据, columnId=1148001302262575636, journalTitle=技术经济, columnName=企业技术经济, runingTitle=null, highlight=null, articleAbstract=

重污染企业是中国工业体系的重要组成部分,其低碳转型是实现双碳目标的关键环节。本文以2017年五省八市绿色金融改革创新试验区政策(简称“绿色金融试点政策”)为外生冲击,基于2012—2021年A股上市企业数据构建三重差分模型,系统评估政策对重污染企业碳排放的影响效应及传导路径。研究发现,绿色金融试点政策显著降低重污染企业碳排放量,该效应在政策实施后呈先增强后减弱的趋势。机制检验表明,绿色金融试点政策通过“资金+技术+意识”三轮驱动发挥作用。其中,在区域层面,绿色金融试点政策推动绿色信贷规模扩张与绿色保险进一步发展进而降低碳排放;在企业层面,该试点政策既引导绿色创新的数量质量双提升,又通过增强高管环保意识促进碳减排。异质性分析显示,政策效果在国有企业、高金融化企业及高资本配置效率企业中更为显著,进一步说明绿色金融试点政策可通过企业的金融工具使用和资本合理利用为碳减排提供有效支撑。研究为优化绿色金融政策工具组合、建立差异化区域推广机制提供了微观证据。

, authors=程时雄1, 陈慧1, 汤李琛2, 陈宓3, authorsList=程时雄, 陈慧, 汤李琛, 陈宓, authorCompany=null, correspAuthors=null, authorNote=

程时雄(1984—),博士,湖北大学商学院教授,博士研究生导师,研究方向:技术经济与贸易

陈慧(2000—),湖北大学商学院硕士研究生,研究方向:环境经济与技术经济

汤李琛(1998—),中国人民大学生态环境学院博士研究生,研究方向:环境经济与管理

陈宓(1997—),中国人民大学人口与健康学院博士研究生,研究方向:环境经济与管理。

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程时雄(1984—),博士,湖北大学商学院教授,博士研究生导师,研究方向:技术经济与贸易

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程时雄(1984—),博士,湖北大学商学院教授,博士研究生导师,研究方向:技术经济与贸易

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陈慧(2000—),湖北大学商学院硕士研究生,研究方向:环境经济与技术经济

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陈慧(2000—),湖北大学商学院硕士研究生,研究方向:环境经济与技术经济

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汤李琛(1998—),中国人民大学生态环境学院博士研究生,研究方向:环境经济与管理

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汤李琛(1998—),中国人民大学生态环境学院博士研究生,研究方向:环境经济与管理

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陈宓(1997—),中国人民大学人口与健康学院博士研究生,研究方向:环境经济与管理。

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陈宓(1997—),中国人民大学人口与健康学院博士研究生,研究方向:环境经济与管理。

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绿色金融试点政策与企业碳排放——来自重污染企业的证据
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程时雄 1 , 陈慧 1 , 汤李琛 2 , 陈宓 3
技术经济 | 企业技术经济 2025,44(9): 111-125
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技术经济 |企业技术经济 2025 , 44 (9) : 111 -125
绿色金融试点政策与企业碳排放——来自重污染企业的证据
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程时雄(1984—),博士,湖北大学商学院教授,博士研究生导师,研究方向:技术经济与贸易

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程时雄1, 陈慧1, 汤李琛2, 陈宓3
作者信息
  • 1.湖北大学商学院,武汉 430062
  • 2.中国人民大学生态环境学院,北京 100872
  • 3.中国人民大学人口与健康学院,北京 100872
作者简介:

程时雄(1984—),博士,湖北大学商学院教授,博士研究生导师,研究方向:技术经济与贸易

陈慧(2000—),湖北大学商学院硕士研究生,研究方向:环境经济与技术经济

汤李琛(1998—),中国人民大学生态环境学院博士研究生,研究方向:环境经济与管理

陈宓(1997—),中国人民大学人口与健康学院博士研究生,研究方向:环境经济与管理。

Pilot Zones for Green Finance and Corporate Carbon Emissions: Evidence from Heavy-polluting Enterprises
Shixiong Cheng1, Hui Chen1, Lichen Tang2, Mi Chen3
Affiliations
  • 1.Business School, Hubei University, Wuhan 430062, China
  • 2.School of Ecology & Environment, Renmin University of China, Beijing 100872, China
  • 3.School of Population and Health, Renmin University of China, Beijing 100872, China
出版时间: 2025-09-25 doi: 10.12404/j.issn.1002-980X.J25011012
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重污染企业是中国工业体系的重要组成部分,其低碳转型是实现双碳目标的关键环节。本文以2017年五省八市绿色金融改革创新试验区政策(简称“绿色金融试点政策”)为外生冲击,基于2012—2021年A股上市企业数据构建三重差分模型,系统评估政策对重污染企业碳排放的影响效应及传导路径。研究发现,绿色金融试点政策显著降低重污染企业碳排放量,该效应在政策实施后呈先增强后减弱的趋势。机制检验表明,绿色金融试点政策通过“资金+技术+意识”三轮驱动发挥作用。其中,在区域层面,绿色金融试点政策推动绿色信贷规模扩张与绿色保险进一步发展进而降低碳排放;在企业层面,该试点政策既引导绿色创新的数量质量双提升,又通过增强高管环保意识促进碳减排。异质性分析显示,政策效果在国有企业、高金融化企业及高资本配置效率企业中更为显著,进一步说明绿色金融试点政策可通过企业的金融工具使用和资本合理利用为碳减排提供有效支撑。研究为优化绿色金融政策工具组合、建立差异化区域推广机制提供了微观证据。

绿色金融改革创新试验区  /  重污染企业  /  碳减排  /  三重差分模型

Heavy-polluting enterprises are a vital component of China's industrial system, and their low-carbon transition serves as a critical pathway for achieving carbon peaking and carbon neutrality goals. The pilot zones for green finance reform and innovation (PZGFRI) in five provinces and eight cities from 2017 were employed as an exogenous shock, and the data from A-share listed enterprises during the period from 2012 to 2021 were utilized. A difference-in-differences-in-differences model (DDD) was constructed to systematically evaluate the policy's impact on the carbon emissions of heavy-polluting enterprises and its transmission mechanisms. The results reveal that PZGFRI significantly reduces carbon emission among these enterprises. This effect is found to initially strengthen and subsequently weaken post-implementation. Mechanism tests indicate that the policy functions through three channels: fund support, technological innovation, and environmental awareness. At the regional level, the expansion of green credit scale and the further development of green insurance are promoted in the pilot areas. At the enterprise level, the policy is shown to guide improvements in both the quantity and quality of green innovation. It is also found to enhance the environmental protection awareness of senior executives. Heterogeneity analysis indicates more pronounced policy effects in state-owned enterprises, highly financialized firms, and enterprises with superior capital allocation efficiency. This further demonstrates that PZGFRI effectively supports carbon reduction through corporate utilization of financial instruments and rational capital allocation. It provides micro-level evidence for optimizing green finance policy portfolios and establishing differentiated regional promotion mechanisms.

pilot zones for green finance reform and innovation  /  heavy-polluting enterprises  /  carbon emission reduction  /  difference-in-differences-in-differences model
程时雄, 陈慧, 汤李琛, 陈宓. 绿色金融试点政策与企业碳排放——来自重污染企业的证据. 技术经济, 2025 , 44 (9) : 111 -125 . DOI: 10.12404/j.issn.1002-980X.J25011012
Shixiong Cheng, Hui Chen, Lichen Tang, Mi Chen. Pilot Zones for Green Finance and Corporate Carbon Emissions: Evidence from Heavy-polluting Enterprises[J]. Journal of Technology Economics, 2025 , 44 (9) : 111 -125 . DOI: 10.12404/j.issn.1002-980X.J25011012
  • 国家社会科学基金重点项目“数字贸易促进我国创新体系效能提升的机制及对策研究”(23AJL010)
  • 国家自然科学基金项目“数绿技术融合赋能减污降碳协同增效的机制与福利效应研究”(72404080)
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2025年第44卷第9期
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doi: 10.12404/j.issn.1002-980X.J25011012
  • 接收时间:2025-01-10
  • 首发时间:2026-10-27
  • 出版时间:2025-09-25
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  • 收稿日期:2025-01-10
基金
国家社会科学基金重点项目“数字贸易促进我国创新体系效能提升的机制及对策研究”(23AJL010)
国家自然科学基金项目“数绿技术融合赋能减污降碳协同增效的机制与福利效应研究”(72404080)
作者信息
    1.湖北大学商学院,武汉 430062
    2.中国人民大学生态环境学院,北京 100872
    3.中国人民大学人口与健康学院,北京 100872
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https://castjournals.cast.org.cn/joweb/jsyjj/CN/10.12404/j.issn.1002-980X.J25011012
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2种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)
属
Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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