Digital economy, energy efficiency, and carbon emissions: Evidence from provincial panel data in China

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成果类型：

期刊论文

作者：

Zhang, Lu;Mu, Renyan;Zhan, Yuanfang;Yu, Jiahong;Liu, Liyi;...

通讯作者：

Renyan Mu

作者机构：

[Zhang, Lu; Yu, Yongsheng; Liu, Liyi; Mu, Renyan; Yu, Jiahong] Wuhan Univ Technol, Sch Management, Wuhan 430070, Peoples R China.

[Zhang, Lu] Tohoku Univ, Grad Sch Engn, Sendai 9808579, Japan.

[Zhang, Lu] Hubei Prod Innovat Management Res Ctr, Wuhan 430070, Peoples R China.

[Zhan, Yuanfang] Cent China Normal Univ, Sch Econ & Business Adm, Wuhan 430079, Peoples R China.

[Zhang, Jixin] Hubei Univ Technol, Sch Econ & Management, Wuhan 430068, Peoples R China.

通讯机构：

[Renyan Mu] S

School of Management, Wuhan University of Technology, Wuhan 430070, China

语种：

英文

关键词：

Carbon emissions;Carbon neutrality;Digital economy;Energy efficiency;Mediating effect;Threshold effect

期刊：

Science of The Total Environment

ISSN：

0048-9697

年：

2022

卷：

852

页码：

158403

DOI：

10.1016/j.scitotenv.2022.158403

基金类别：

CRediT authorship contribution statement Lu Zhang: Writing - original draft., Writing - review & editing. Renyan Mu: Writing - review & editing, acquisition. Yuanfang Zhan: Data curation. Jiahong Yu: Formal analysis. Liyi Liu: Formal analysis. Yongsheng Yu: Data curation. Jixin Zhang: Formal analysis, acquisition.

机构署名：

本校为其他机构

院系归属：

经济与工商管理学院

摘要：

Improving energy efficiency and lowering carbon emissions are of great importance to realize the "dual carbon" goal of carbon peak and carbon neutrality. Digital economy is a new engine of economic development, but whether or how it affects energy efficiency and carbon emissions are unclear. Utilizing panel data of China's 30 provinces from 2012 to 2019, this study empirically explores the relationships among digital economy, energy efficiency, and carbon emissions. Meanwhile, from the perspective of energy efficiency, applying mediation models and panel threshold model, it analyzes the direct...

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Digital economy, energy efficiency, and carbon emissions: Evidence from provincial panel data in China

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