An empirical study on emissions trading influence for the enterprise environmental responsibility

• Autorzy: Zhao Jing-Xuan

Identyfikatory

DOI

10.2478/eces-2023-0027

• Języki publikacji: EN

Abstrakty

EN

The primary objective of this paper is to address the inherent biases in the calculation of carbon emissions trading (CET) and foster the development of green innovation. By employing panel data from carbon emission trading pilots, the spatial Durbin model (SDID) is applied to assess the impact of CET on corporate environmental responsibility. By integrating CET and corporate environmental responsibility within a unified framework, this paper presents a novel analysis of the influence of environmental regulations on corporate environmental responsibility at the micro-level. Additionally, this study examines the spatial spillover effect of CET, thereby rectifying estimation biases. The model validation results indicate statistical significance below the 1 % level. The findings of this research reveal that it analyses the specific channels through which CET influences corporate environmental responsibility, providing insights that address the limitations of previous studies in mechanism analysis.

Słowa kluczowe

EN

carbon emissions trading; CET; environmental responsibility; spatial Durbin model; SDID; mechanism analysis

PL

handel emisjami gazów cieplarnianych; odpowiedzialność za środowisko; analiza mechanizmu

• Wydawca: Towarzystwo Chemii i Inżynierii Ekologicznej
• Czasopismo: Ecological Chemistry and Engineering. S
• Rocznik: 2023
• Tom: Vol. 30, nr 2
• Strony: 259--266
• Opis fizyczny: Bibliogr. 14 poz., tab.

Twórcy

autor

Zhao Jing-Xuan

• Business School, Hohai University, Nanjing Jiangsu 211100 China
• Business School, Jiangsu Second Normal University, Nanjing Jiangsu 211200 China

• https://orcid.org/0009-0001-4043-1230

Bibliografia

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• [10] Fang GC, Tian LX, Liu MH, Fu M, Sun M. How to optimize the development of carbon trading in China - Enlightenment from evolution rules of the EU carbon price. Appl Energy. 2018; 211:1039-49. DOI: 10.1016/j.apenergy.2017.12.001.
• [11] Li H, Li R, Shang M, Liu Y, Su DD. Cooperative decisions of competitive supply chains considering carbon trading mechanism. Int J Low-Carbon Technologies. 2021;17:102-17. DOI: 10.1093/IJLCT/CTAB085.
• [12] Chai QF, Xiao ZD, Lai KH, Zhou GH. Can carbon cap and trade mechanism be beneficial for remanufacturing? Int J Prod Economics. 2018;203:311-21. DOI: 10.1016/j.ijpe.2018.07.004.
• [13] Yue D, Nan L, Gu RG. Can China’s carbon emissions trading rights mechanism transform its manufacturing industry? Based on the perspective of enterprise behavior. Sustainability. 2018;10(7):22-31. DOI: 10.3390/su10072421.
• [14] Andreas L, Benjamin JL, Shunsuke M. The impacts of the EU ETS on efficiency and economic performance - An empirical analysis for German manufacturing firms. Resource Energy Economics. 2018;56:71-95. DOI: 10.1016/j.reseneeco.2018.03.001.

Uwagi

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).