文献类型：期刊文献

英文题名：Carbon emission trading scheme, induced technological change, and green innovation: Evidence from listed companies in China

作者：Tang, Maogang[1];Ma, Weibiao[2];Shao, Shuai[3,4]

机构：[1]East China Univ Sci & Technol, Sch Business, Shanghai 200237, Peoples R China;[2]Anhui Univ Technol, Sch Business, Maanshan 243002, Peoples R China;[3]Tongji Univ, Sch Econ & Management, Shanghai 200092, Peoples R China;[4]Tongji Univ, Lab High Qual Urban Dev & Strateg Decis, Shanghai 200092, Peoples R China

年份：2026

卷号：215

外文期刊名：ENERGY POLICY

收录：;EI(收录号：20261620547547);WOS:【SSCI(收录号:WOS:001755975600001)，SCI-EXPANDED(收录号:WOS:001755975600001)】；

基金：We acknowledge the financial support from the National Natural Science Foundation of China (Nos. 72573116 and 72504004) , the National Social Science Foundation of China (No. 25VRC038) , and the Fundamental Research Funds for the Central Universities (No. 22120250315) .

语种：英文

外文关键词：Green innovation; Carbon emission trading scheme; Price-induced technological change; Learning-induced technological change; Difference-in-differences-in-differences model; R&D-induced technological change

摘要：Carbon emission trading (CET) scheme has the potential to stimulate technological innovation across diverse forms of technological change, including price-induced (P-ITC), R&D-induced (R&D-ITC), and learning-induced (L-ITC) technological changes. While prior research has extensively examined the effects of the CET mechanism on companies' green innovation (GI), a notable gap remains in studies that integrate P-ITC, R&D-ITC, and L-ITC within a cohesive framework to elucidate their underlying mechanisms. This study bridges this gap by integrating these three types of technological change into an integrated modeling framework to systematically investigate the impact mechanism of the CET scheme on companies' GI. Furthermore, we delve into the moderating effects of information asymmetry, transaction costs, marketization degree, and technology diffusion degree. Utilizing data from Chinese A-share listed companies, matched with green patent data sourced from the Chinese Research Data Services platform, we employ the difference-in-differences-in-differences model to control unobservable factors affecting the policy outcomes. The results indicate that the CET policy significantly promotes companies' GI. Mechanism analysis further reveals that the CET policy fosters companies' GI by facilitating P-ITC, R&D-ITC, and L-ITC. Moreover, a well-functioning market system enhances the positive impact of the CET policy in fostering companies' GI. In addition, this effect varies across R&D intensity, company size, ownership structure, region, and financial constraints. We underscore the importance for developing countries' governments to establish a robust market platform for the CET scheme and improve the supporting environment to facilitate GI.