暨南学报(哲学社会科学版)

作者：张凯霞, 卜偲琦

单位：西南财经大学经济学院;卜偲琦,西南政法大学经济学院。

关键词：数字化转型,高耗能企业,能源效率,绿色技术创新,能源结构

基金：国家自然科学基金“高耗能企业漂绿行为的识别、负面影响及其长效破解机制研究”(72203180);四川省哲学社会科学基金“双碳目标下气候风险对四川省能源转型的影响及应对策略研究”(SCJJ23ND446);重庆市教委科学技术研究计划青年项目“双碳约束视域下环境信息披露对企业环境治理与经济绩效的影响及机制研究”(KJQN202200304)。

提高企业能源使用效率对于降低碳排放,助推如期实现“双碳3060”目标具有重要意义。文章首次尝试将上市公司数据与中国工业企业污染数据库进行匹配,聚焦于探讨企业数字化转型能否成为高耗能企业能源效率提升的驱动力。研究发现数字化转型对企业能源效率有显著提升作用。此外,这种影响在非国有企业、高耗能企业和位于高市场化地区的企业中更为明显。机制分析表明数字化转型会通过提高企业的绿色创新能力和优化能源结构来提高能源效率。本文的研究结果为优化公司治理、促进环境保护和经济发展的双赢提供了启示,同时拓展了影响企业能源效率因素的文献。"/>template{display:none;}.mag-rich-xref-fn { cursor: pointer;}//长视频$(document).ready(function(){if($("#showLongArticleVideo") && $("#showLongArticleVideo").length && $("#showLongArticleVideo").length>0){mag_ajax_update({ele_id:'showLongArticleVideo',url:mag_currentQikanUrl() + "/CN/article/showLongArticleVideo.do?id="+$("#articleId").val()});}});$(document).ready(function(){window.metaData = {"journal":{"issn":"1000-5072","qiKanMingCheng_CN":"暨南学报（哲学社会科学版）","id":2,"qiKanMingCheng_EN":"Jinan Journal"},"fundList_cn":["国家自然科学基金“高耗能企业漂绿行为的识别、负面影响及其长效破解机制研究”(72203180);四川省哲学社会科学基金“双碳目标下气候风险对四川省能源转型的影响及应对策略研究”(SCJJ23ND446);重庆市教委科学技术研究计划青年项目“双碳约束视域下环境信息披露对企业环境治理与经济绩效的影响及机制研究”(KJQN202200304)。"],"article":{"keywordList_cn":["数字化转型","高耗能企业","能源效率","绿色技术创新","能源结构"],"juan":"46","zhaiyao_cn":"提高企业能源使用效率对于降低碳排放,助推如期实现“双碳3060”目标具有重要意义。文章首次尝试将上市公司数据与中国工业企业污染数据库进行匹配,聚焦于探讨企业数字化转型能否成为高耗能企业能源效率提升的驱动力。研究发现数字化转型对企业能源效率有显著提升作用。此外,这种影响在非国有企业、高耗能企业和位于高市场化地区的企业中更为明显。机制分析表明数字化转型会通过提高企业的绿色创新能力和优化能源结构来提高能源效率。本文的研究结果为优化公司治理、促进环境保护和经济发展的双赢提供了启示,同时拓展了影响企业能源效率因素的文献。","endNoteUrl_en":"https://jnxb.jnu.edu.cn/skb/EN/article/getTxtFile.do?fileType=EndNote&id=6953","reference":"","bibtexUrl_cn":"https://jnxb.jnu.edu.cn/skb/CN/article/getTxtFile.do?fileType=BibTeX&id=6953","abstractUrl_en":"https://jnxb.jnu.edu.cn/skb/EN/10.11778/j.jnxb.20231745","qi":"4","id":6953,"nian":2024,"bianHao":"1715308993299-1053044180","zuoZheEn_L":"ZHANG Kaixia, BU Caiqi","juanUrl_en":"https://jnxb.jnu.edu.cn/skb/EN/Y2024","shouCiFaBuRiQi":"2024-05-10","qiShiYe":"113","qiUrl_cn":"https://jnxb.jnu.edu.cn/skb/CN/Y2024/V46/I4","lanMu_cn":"数学经济","pdfSize":"2091","zuoZhe_CN":"张凯霞, 卜偲琦","risUrl_cn":"https://jnxb.jnu.edu.cn/skb/CN/article/getTxtFile.do?fileType=Ris&id=6953","title_cn":"数字化转型提升了高耗能企业的能源效率吗?","doi":"10.11778/j.jnxb.20231745","jieShuYe":"131","keywordList_en":["digital transformation","high energy-consuming companies","energy efficiency","green technology innovation","energy mix"],"endNoteUrl_cn":"https://jnxb.jnu.edu.cn/skb/CN/article/getTxtFile.do?fileType=EndNote&id=6953","zhaiyao_en":"At the present stage, reducing carbon emissions has become a key factor for enhancing industrial and economic global competitiveness. Improving the energy efficiency of enterprises, the primary driver of economic and social development, serves as the core impetus for reducing carbon emissions. However, there is currently a paucity of literature that delves into the micro-level impacts of digital transformation on energy efficiency. Therefore, this paper aims to supplement this aspect of research and refine the relevant theoretical framework. By conducting an in-depth analysis of the impact of digital transformation on enterprise energy efficiency, this paper aims to provide theoretical support and practical guidance for the development of more effective carbon emission reduction strategies.This paper matches the data of listed companies from 2001 to 2012 with the China Industrial Enterprise Database and the China Industrial Enterprise Pollution Database for the first time. Following the method of Tone (2001), this paper uses the super-efficiency SBM-DEA model to measure the energy efficiency of high energy-consuming listed companies and examine the impact of digital transformation on the energy efficiency of these companies. Empirical research indicates that the digital transformation of listed companies significantly improves their energy efficiency. After considering the substitution of core variables, adopting instrumental variable analysis, and addressing endogeneity problems, the research findings remain robust. Heterogeneity analysis suggests that the effect of digital transformation on energy efficiency is greater for non-state-owned enterprises, high energy-consuming enterprises, and companies located in regions with higher levels of marketization. Mechanism analysis reveals that enterprise digital transformation enhances the energy efficiency of high energy-consuming enterprises by improving their green innovation capabilities and optimizing energy consumption structures.This paper has two marginal contributions. Firstly, it extends literature on the impact of digital transformation on corporate environmental behavior. Constrained by data at the enterprise level, existing studies mainly focus on the impact of digital economy on national and urban energy efficiency, lacking analysis of energy efficiency at the enterprise level. This paper matches data of listed companies with the China Industrial Pollution Database to analyze the impact of digital transformation on the energy efficiency of listed companies, providing new insights into evaluating the impact of digital transformation. Secondly, it explores the potential mechanisms of the impact of digital transformation on the energy efficiency of high energy-consuming enterprises, revealing the significant importance of emerging drivers represented by digital technologies in optimizing energy structure, improving energy efficiency, and accelerating carbon emission reduction. It also provides support for empowering enterprises' green development through digital transformation.This paper not only enriches relevant literature in the field of enterprise digital transformation but also provides new insights into the green and sustainable development of the economy from the perspective of corporate behavior. Achieving the “dual carbon” goal is a crucial foundation for showcasing China's active assumption of great power responsibility and establishing its image as a major nation. This paper affirms the positive significance of digital technology in improving energy efficiency and provides support for how the government should encourage and assist enterprises in implementing digital transformation.","bibtexUrl_en":"https://jnxb.jnu.edu.cn/skb/EN/article/getTxtFile.do?fileType=BibTeX&id=6953","abstractUrl_cn":"https://jnxb.jnu.edu.cn/skb/CN/10.11778/j.jnxb.20231745","zuoZheCn_L":"张凯霞, 卜偲琦","juanUrl_cn":"https://jnxb.jnu.edu.cn/skb/CN/Y2024","lanMu_en":"","qiUrl_en":"https://jnxb.jnu.edu.cn/skb/EN/Y2024/V46/I4","zuoZhe_EN":"ZHANG Kaixia, BU Caiqi","risUrl_en":"https://jnxb.jnu.edu.cn/skb/EN/article/getTxtFile.do?fileType=Ris&id=6953","title_en":"Does Digital Transformation Improve the Energy Efficiency of High Energy-Consuming Enterprises?","hasPdf":"true"},"authorNotes_cn":["张凯霞,西南财经大学经济学院;卜偲琦,西南政法大学经济学院。"]};if(window.metaData && (!window.metaData.authorNotesCommon_cn && !window.metaData.authorNotesCorresp_cn && window.metaData.authorNotes_cn)){window.metaData.authorNotesCommon_cn = window.metaData.authorNotes_cn;}if(window.metaData && (!window.metaData.authorNotesCommon_en && !window.metaData.authorNotesCorresp_en && window.metaData.authorNotes_en)){window.metaData.authorNotesCommon_en = window.metaData.authorNotes_en;}var _nlmdtdXml = $("#article_nlmdtdXml").val();var magDir = _nlmdtdXml.replace(/\/[^\/]+$/,'');window.metaData.magDir = magDir;new mag_vue({ el: '#metaVue', //dataUrl: mag_currentQikanUrl() + '/EN/article/getRichHtmlJson.do?articleId='+$("#articleId").val(), data:window.metaData, loading:true, doTextFun:function(text){ return doDataJsonText(text); 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来源：2024年第4期

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