{"title":"排放权交易对企业环境责任影响的实证研究","authors":"Jing Zhao","doi":"10.2478/eces-2023-0027","DOIUrl":null,"url":null,"abstract":"Abstract 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.","PeriodicalId":11395,"journal":{"name":"Ecological Chemistry and Engineering S","volume":"24 1","pages":"259 - 266"},"PeriodicalIF":0.0000,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"An Empirical Study on Emissions Trading Influence for the Enterprise Environmental Responsibility\",\"authors\":\"Jing Zhao\",\"doi\":\"10.2478/eces-2023-0027\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Abstract 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.\",\"PeriodicalId\":11395,\"journal\":{\"name\":\"Ecological Chemistry and Engineering S\",\"volume\":\"24 1\",\"pages\":\"259 - 266\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Ecological Chemistry and Engineering S\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2478/eces-2023-0027\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ecological Chemistry and Engineering S","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2478/eces-2023-0027","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An Empirical Study on Emissions Trading Influence for the Enterprise Environmental Responsibility
Abstract 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.