Analysis and validation of energy-conservation and emission-reduction effects of economic agglomeration

doi:10.1007/s10668-024-04509-5

	Analysis and validation of energy-conservation and emission-reduction effects of economic agglomeration
	Kang, Weiyi 1; Guo, Jingjun1,2 ; Chen, Suisui3
	2024-04-26
在线发表日期	2024-04
发表期刊	ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY
摘要	Economic agglomeration, as a key factor of China's economic transformation and development, offers great potential for both global and Chinese carbon reduction. This study explores the pathways and principles of economic agglomeration on CO2 emissions by applying the framework of spatial economic theory. The proposed theoretical model considers the stage of economic development, categorizes carbon emissions into productive and nonproductive activities, extends the production function to construct a carbon emissions function and reasoning, and analyzes the influence of the mechanism of economic resource aggregation on CO2 emissions at various phases of development. For the empirical analysis, a spatial panel model of 30 provincial districts in China is proposed and combined with a machine learning method to examine the nonlinear relationships between economic resource gathering and carbon release intensity. The results show a typical N curve relationship between economic agglomeration and CO2 emissions. When the thresholds exceed 175.573 and 333.333, the impact of economic agglomeration on emission-reduction changes from inhibition to promotion. In addition, energy consumption can act as a mediating variable for economic agglomeration to affect CO2 emissions, and there is a typical inverted U curve relationship. The N curve between economic aggregation and CO2 emissions with multiple inflection points is validated using machine learning. Accordingly, this study proposes that significant attention should be paid to the energy-conservation and emission-reduction mechanism of economic agglomeration. Furthermore, the linkage mechanism of energy-saving and emissions reduction between regions with complementary advantages is essential.
关键词	Economic agglomeration CO2 emissions Energy consumption Spatial econometrics Machine learning
DOI	10.1007/s10668-024-04509-5
收录类别	SCIE
ISSN	1387-585X
语种	英语
WOS研究方向	Science & Technology - Other Topics ; Environmental Sciences & Ecology
WOS类目	Green & Sustainable Science & Technology ; Environmental Sciences
WOS记录号	WOS:001208740800002
出版者	SPRINGER
原始文献类型	Article ; Early Access
EISSN	1573-2975
引用统计	被引频次[WOS]：0 [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.lzufe.edu.cn/handle/39EH0E1M/36170
专题	统计与数据科学学院
通讯作者	Guo, Jingjun
作者单位	1.Lanzhou Univ Finance & Econ, Sch Data Sci & Stat, Lanzhou 730020, Peoples R China; 2.Lanzhou Univ Finance & Econ, Ctr Quantitat Anal Gansu Econ Dev, Lanzhou 730020, Peoples R China; 3.Ocean Univ China, Sch Econ, Qingdao 266100, Peoples R China
第一作者单位	兰州财经大学
通讯作者单位	兰州财经大学
推荐引用方式 GB/T 7714	Kang, Weiyi,Guo, Jingjun,Chen, Suisui. Analysis and validation of energy-conservation and emission-reduction effects of economic agglomeration[J]. ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY,2024.
APA	Kang, Weiyi,Guo, Jingjun,&Chen, Suisui.(2024).Analysis and validation of energy-conservation and emission-reduction effects of economic agglomeration.ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY.
MLA	Kang, Weiyi,et al."Analysis and validation of energy-conservation and emission-reduction effects of economic agglomeration".ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY (2024).