数字全球价值链嵌入对制造业企业碳排放的影响研究

摘要基于中国上市公司数据库、OECD投入产出数据库及中国进出口海关企业数据库匹配的多产品企业面板数据,经验分析数字全球价值链嵌入对制造业企业碳排放的影响。结果表明:数字全球价值链嵌入显著地降低了制造业企业碳排放,且深度参与数字全球价值链有助于实现碳减排目标。机制分析发现:数字全球价值链嵌入通过促进技术多样性、提升能源利用效率和降低贸易成本促进制造业企业碳减排。异质性分析发现:企业核心产品嵌入数字全球价值链的碳减排效应较强;一般贸易企业嵌入数字全球价值链能够显著降低碳排放,而混合贸易企业嵌入数字全球价值链则增加碳排放;高碳密集度企业是推进制造业企业低碳绿色转型的重点对象,而低碳密集度企业嵌入数字全球价值链的碳减排效应最为显著。进一步分析发现,制造业企业以前向参与方式嵌入数字全球价值链能够显著降低碳排放,而以后向参与方式嵌入数字全球价值链增加了企业碳排放;制造业企业数字全球价值链地位越高,碳减排效应越强。

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	武杰

关键词：数字全球价值链制造业企业碳排放跨区域投入产出模型

Abstract： Based on multi-product enterprise panel data matched by China’s listed company database, OECD input-output database and China Import and Export Customs Enterprise Database, the paper empirically analyzes the impact of digital global value chain embedding on manufacturing enterprises’ carbon emissions. The results show that embedding in digital global value chains significantly reduces carbon emissions of manufacturing enterprises, and deep participation in digital global value chains can help achieve carbon emission reduction goals. Mechanism analysis finds that digital global value chain embedding promotes carbon emission reduction in manufacturing companies by promoting technological diversity, improving energy efficiency and reducing trade costs. Heterogeneous analysis reveals that the core products of enterprises embedded in the digital global value chain have a strong carbon emission reduction effect. General trade enterprises that integrate into the digital global value chain can significantly reduce carbon emissions, while mixed trade enterprises that do so can increase carbon emissions. High carbon-intensive enterprises are key targets for promoting the low-carbon and green transformation of manufacturing enterprises, and the carbon emission reduction effect is most significant for low carbon-intensive enterprises when they are integrated into the digital global value chain. Therefore, strengthening the mechanisms for interest linkage and information sharing within the agricultural industry chain, and improving the functions of credit collateral and guarantees are important strategic choices for enhancing rural revitalization financial services in the new era. Further analysis reveals that manufacturing enterprises that integrate into the digital global value chain through forward participation significantly reduce carbon emissions, while those that integrate through backward participation increase their carbon emissions. The higher the position of manufacturing enterprises in the digital global value chain, the better the carbon emission reduction effect.

Keywords： Digital Global Value Chain Manufacturing Enterprises Carbon Emissions Inter-regional Input-output Model

收稿日期 2024-05-26; 接受日期 ;

基金资助:国家社会科学基金项目(21BJL070);山西省高等学校哲学社会科学研究项目(2024W062)

作者简介: 武杰(1991— ),男,山西大同人,博士,讲师,主要从事全球价值链数字化与制造业高质量发展研究。

引用本文:

武杰.数字全球价值链嵌入对制造业企业碳排放的影响研究[J]. 经济经纬, 2024,5: 92-106

WU Jie.A Study on the Impact of Digital Global Value Chain Integration on the Carbon Emissions of Manufacturing Enterprises[J] Economic Survey, 2024,V41(5): 92-106

链接本文:

http://www.jjjw.org.cn/CN/ 或 http://www.jjjw.org.cn/CN/Y2024/V41/I5/92

白俊红,余雪微,2022.全球价值链嵌入对节能减排的影响:理论与实证[J].财贸经济(6):144-159.
陈彦斌,林晨,陈小亮,2019.人工智能、老龄化与经济增长[J].经济研究(7):47-63.
杜直前,2023.数字全球价值链参与对经济韧性的增强效应研究[J].经济学家(4):33-43.
费威,于宝鑫,王维国,2022.数字经济发展与碳减排:理论推演与实证检验[J].经济学家(11):74-83.
傅秋子,黄益平,2018.数字金融对农村金融需求的异质性影响:来自中国家庭金融调查与北京大学数字普惠金融研究[J].金融研究(11):68-84.
高鹏,岳书敬,2022.全球价值链嵌入是否降低了中国产业部门隐含碳:兼论产业数字化的调节效应[J].国际贸易问题(7):53-67.
何志伟,孙新波,张明超,2023.数字全球价值链:概念、理论框架与未来展望[J].研究与发展管理(3):1-14.
黄勃,李海彤,刘俊岐,2023.数字技术创新与中国企业高质量发展:来自企业数字专利的证据[J].经济研究(3):97-115.
江艇,2022.因果推断经验研究中的中介效应与调节效应[J].中国工业经济(5):100-120.
焦嶕,郭金花,赵国浩,2023.数字产业集聚、地方政府竞争与城市绿色经济效率[J].经济经纬(6):51-60.
李金昌,连港慧,徐蔼婷,2023.“双碳”愿景下企业绿色转型的破局之道:数字化驱动绿色化的实证研究[J].数量经济技术经济研究(9):27-49.
李磊,蒋沁怡,2023.数字经济发展与我国城市能源效率的提升[J].贵州大学学报(社会科学版) (3):72-83.
刘斌,王乃嘉,余淼杰,2021.制造业服务要素投入与出口中的隐含碳:基于全球价值链环境成本视角的研究[J].中国人民大学学报(2):81-94.
刘斌,甄洋,2022. 数字贸易规则与研发要素跨境流动[J]. 中国工业经济(7):65-83.
刘瑶,张军,耿燕,2023.全球价值链视角下的出口与碳排放:对“倒U型”关系的再检验[J].国际贸易问题(1):90-107.
陆建明,王娟,2022.“绿色悖论”内涵、产生机制与对策:一个文献综述[J].贵州大学学报(社会科学版) (3):23-32.
吕延方,方若楠,王冬,2020.中国服务贸易融入数字全球价值链的测度构建及特征研究[J].数量经济技术经济研究(12):25-44.
孙早,侯玉琳,2021.人工智能发展对产业全要素生产率的影响:一个基于中国制造业的经验研究[J].经济学家(1):32-42.
王浩,刘敬哲,张丽宏,2022.碳排放与资产定价:来自中国上市公司的证据[J].经济学报(2):28-75.
武杰,李丹,赵鲁南,2022.中国制造业融入数字全球价值链的测度构建和特征研究[J].经济问题探索(9):166-190.
武杰,李丹,2024.全球价值链数字化对中国制造业企业国际分工地位的影响[J].国际商务研究(1):95-110.
徐金海,夏杰长,2020.全球价值链视角的数字贸易发展:战略定位与中国路径[J]. 改革(5):58-67.
杨刚强,王海森,范恒山,2023.数字经济的碳减排效应:理论分析与经验证据[J].中国工业经济(5):80-98.
张彧,2024.数字新基建、绿色技术进步与低碳经济转型[J].经济经纬(1):57-69.
周文慧,钞小静,王灿,等,2023.数字贸易与中国制造业企业全球价值链攀升:内在机理和实现条件[J].国际贸易(11):14-24.
ACEMOGLU D,RESTREPO P,2018.The race between man and machine: implications of technology for growth,factor shares and employment[J]. American economic review,108(6):1488-1542.
BALLAND P A,BOSCHMA R,CRESPO J,et al,2019. Smart specialization policy in the european union:relatedness,knowledge complexity and regional diversification[J]. Regional studies,53(9):1252-1268.
FORMAN C,GOLDFARB A,GREENSTEIN S,2016. Agglomeration of invention in the bay area:not just ICT[J]. American economic review,106(5):146-151.
JIANG S,LI Y,LU Q,et al,2021. Policy assessments for the carbon emission flows and sustainability of bitcoin blockchain operation in China[J]. Nature communication,12(1):1-10.
LI Z G,WANG J,2022.The dynamic impact of digital economy on carbon emission reduction: evidence city-level empirical data in China[J].Journal of cleaner production,351:131-145.
SAREEN S,HAARSTAD H,2021.Digitalization as a driver of transformative environmental innovation[J]. Environmental innovation and societal transitions,(41):93-95.
SHAPIRO J S,2021. The environmental bias of trade policy[J]. Quarterly journal of economics,136(2):831-886.
TONG D Q,ZHANG Y,ZHENG K,et al,2019. Committed emissions from existing energy infrastructure jeopardize 1.5 ℃ climate target[J]. Nature,572(7769):373-377.
WANG Z,WEI S J,ZHU K F,2013. Quantifying international production sharing at the bilateral and sector levels[Z]. NBER working paper.
ZHAO Z,YAN Y,2014.Consumption-based carbon emissions and international carbon leakage: an analysis based on the wiod database[J].Social sciences in China,35(3):174-186.