Big Data-Driven Carbon Trading and Industrial Firm Value Based on DEA and DID
Carbon trading has emerged as a critical environmental and economic mechanism for promoting energy conservation and emission reduction among firms in China. Leveraging big data from listed industrial firms participating in carbon trading, this study employs the super-efficiency SBM model and the com...
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MDPI AG
2025-03-01
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| Series: | Journal of Theoretical and Applied Electronic Commerce Research |
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| Online Access: | https://www.mdpi.com/0718-1876/20/1/43 |
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| author | Zhen Peng Yunxiao Zhang Tongtong Sun |
| author_facet | Zhen Peng Yunxiao Zhang Tongtong Sun |
| author_sort | Zhen Peng |
| collection | DOAJ |
| description | Carbon trading has emerged as a critical environmental and economic mechanism for promoting energy conservation and emission reduction among firms in China. Leveraging big data from listed industrial firms participating in carbon trading, this study employs the super-efficiency SBM model and the common frontier model to evaluate firm-level carbon performance. Using carbon performance as a mediating variable, the study investigates the impact of carbon trading on firm value, considering the moderating effects of internal and external governance mechanisms. The findings reveal the following: (1) Carbon trading enhances firm value by improving carbon performance. (2) Internal governance mechanisms strengthen the positive effect of carbon trading on firm value, while government intervention weakens this effect. (3) The value-enhancing effect of carbon trading is more pronounced for firms in China’s central and western regions. (4) Among industrial firms, carbon trading has the strongest impact on the value of manufacturing firms. These results provide valuable insights for policymakers and firms aiming to align environmental and economic objectives through carbon-trading mechanisms. |
| format | Article |
| id | doaj-art-e4be9feaab844dfd8f900d6b719c8a59 |
| institution | Kabale University |
| issn | 0718-1876 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Journal of Theoretical and Applied Electronic Commerce Research |
| spelling | doaj-art-e4be9feaab844dfd8f900d6b719c8a592025-08-20T03:43:31ZengMDPI AGJournal of Theoretical and Applied Electronic Commerce Research0718-18762025-03-012014310.3390/jtaer20010043Big Data-Driven Carbon Trading and Industrial Firm Value Based on DEA and DIDZhen Peng0Yunxiao Zhang1Tongtong Sun2School of Economics and Management, China University of Geosciences Beijing, Beijing 100083, ChinaSchool of Economics and Management, Beijing Institute of Petrochemical Technology, Beijing 102617, ChinaSchool of Economics and Management, Beijing Institute of Petrochemical Technology, Beijing 102617, ChinaCarbon trading has emerged as a critical environmental and economic mechanism for promoting energy conservation and emission reduction among firms in China. Leveraging big data from listed industrial firms participating in carbon trading, this study employs the super-efficiency SBM model and the common frontier model to evaluate firm-level carbon performance. Using carbon performance as a mediating variable, the study investigates the impact of carbon trading on firm value, considering the moderating effects of internal and external governance mechanisms. The findings reveal the following: (1) Carbon trading enhances firm value by improving carbon performance. (2) Internal governance mechanisms strengthen the positive effect of carbon trading on firm value, while government intervention weakens this effect. (3) The value-enhancing effect of carbon trading is more pronounced for firms in China’s central and western regions. (4) Among industrial firms, carbon trading has the strongest impact on the value of manufacturing firms. These results provide valuable insights for policymakers and firms aiming to align environmental and economic objectives through carbon-trading mechanisms.https://www.mdpi.com/0718-1876/20/1/43big datacarbon tradingindustrial firm valuefirm carbon performanceinternal and external governance of firms |
| spellingShingle | Zhen Peng Yunxiao Zhang Tongtong Sun Big Data-Driven Carbon Trading and Industrial Firm Value Based on DEA and DID Journal of Theoretical and Applied Electronic Commerce Research big data carbon trading industrial firm value firm carbon performance internal and external governance of firms |
| title | Big Data-Driven Carbon Trading and Industrial Firm Value Based on DEA and DID |
| title_full | Big Data-Driven Carbon Trading and Industrial Firm Value Based on DEA and DID |
| title_fullStr | Big Data-Driven Carbon Trading and Industrial Firm Value Based on DEA and DID |
| title_full_unstemmed | Big Data-Driven Carbon Trading and Industrial Firm Value Based on DEA and DID |
| title_short | Big Data-Driven Carbon Trading and Industrial Firm Value Based on DEA and DID |
| title_sort | big data driven carbon trading and industrial firm value based on dea and did |
| topic | big data carbon trading industrial firm value firm carbon performance internal and external governance of firms |
| url | https://www.mdpi.com/0718-1876/20/1/43 |
| work_keys_str_mv | AT zhenpeng bigdatadrivencarbontradingandindustrialfirmvaluebasedondeaanddid AT yunxiaozhang bigdatadrivencarbontradingandindustrialfirmvaluebasedondeaanddid AT tongtongsun bigdatadrivencarbontradingandindustrialfirmvaluebasedondeaanddid |