Business School, Zhengzhou University, 100 Kexue Avenue, Zhengzhou, 450001, China.
School of Management, Harbin Institute of Technology, 92 West Dazhi Street, Harbin, 150001, Nan Gang District, China.
Environ Sci Pollut Res Int. 2022 Feb;29(9):13466-13477. doi: 10.1007/s11356-021-16689-y. Epub 2021 Sep 30.
Given China's rapid industrial upgrade and economic development process, this study tries to explore the effect of industrial structure transformation on carbon emissions in China and the moderating effect of financial development by employing the traditional OLS model, the dynamic SYS-GMM model, and the dynamic spatial lag model comprehensively. In particular, industrial structure transformation has been divided into two indicators including industrial structure rationalization and industrial structure optimization; carbon emissions are evaluated from the dual perspective of scale and average. The empirical results indicate that only industrial structure optimization has a negative impact on carbon emissions scale in China at the national level. In addition, financial development has merely and positively moderated the nexus between industrial structure rationalization and carbon emissions scale and per capital carbon emission in the southern regions of China, which highlights the establishment of regional heterogeneity and the necessity of formulating policy in line with local conditions. Both theoretical and practical significance have drawn from this study, for the emerging economics and in particular for China, to reduce carbon emissions through industrial structure transformation and financial development and promote high-quality development in the new era.
鉴于中国快速的产业升级和经济发展进程，本研究试图通过综合运用传统的最小二乘法（OLS）模型、动态系统广义矩估计（SYS-GMM）模型和动态空间滞后模型，探讨产业结构转型对中国碳排放的影响，以及金融发展的调节作用。具体而言，产业结构转型被分为两个指标，包括产业结构合理化和产业结构优化；碳排放从规模和平均两个维度进行评估。实证结果表明，在全国层面上，只有产业结构优化对中国的碳排放规模具有负向影响。此外，金融发展仅在南方地区正向调节了产业结构合理化与碳排放规模和人均碳排放之间的关系，这凸显了区域异质性的建立和制定符合当地情况的政策的必要性。本研究具有理论和实践意义，为新兴经济体，特别是中国，提供了通过产业结构转型和金融发展来减少碳排放、促进新时代高质量发展的思路。
