AI Chat Paper
Note: Please note that the following content is generated by AMiner AI. SciOpen does not take any responsibility related to this content.
{{lang === 'zh_CN' ? '文章概述' : 'Summary'}}
{{lang === 'en_US' ? '中' : 'Eng'}}
Chat more with AI
Home AIMS Energy Article
PDF (1.8 MB)
Collect
Submit Manuscript AI Chat Paper
Show Outline
Outline
Show full outline
Hide outline
Outline
Show full outline
Hide outline
Research Article | Open Access

Integrated assessment and influencing factor analysis of energy-economy-environment system in rural China

Shi Yin1,2 ( )Yuan Yuan3
College of Humanities and Social Sciences, Hebei Agricultural University, Baoding, 071001, China
School of Economics and Management, Harbin Engineering University, Harbin, 150000, China
College of Economics and Management, University of Science and Technology Beijing, Beijing, 100000, China
Show Author Information

Abstract

With China's economic growth, energy-economy-environment (3E) issues in rural areas have become more prominent. As key areas for energy consumption and environmental protection, analyzing the influencing factors of the 3E system in rural areas is crucial. We constructed and analyzed the rural 3E model using clustering and examined the relationship between scientific and technological talent, the economic level of rural residents, and 3E development through principal component regression. The findings showed: (1) Overall improvement in 3E development, with coastal and non-coastal areas showing significant differences; (2) room for energy improvement, rapid economic growth, and more balanced environmental development in some regions; (3) scientific and technological talent and economic level significantly impacted 3E development; and (4) in coastal areas, talent development had a greater impact, while in non-coastal areas, both talent and economic development had comparable effects. Moreover, 1-unit increase in talent development in coastal areas boosted 3E development by 0.12 units, while in non-coastal areas, talent and economic level increased 3E development by 0.04 and 0.06 units, respectively.

References

【1】
【1】
 
 
AIMS Energy
Pages 1173-1205

{{item.num}}

Comments on this article

Go to comment

< Back to all reports

Review Status: {{reviewData.commendedNum}} Commended , {{reviewData.revisionRequiredNum}} Revision Required , {{reviewData.notCommendedNum}} Not Commended Under Peer Review

Review Comment

Close
Close
Cite this article:
Yin S, Yuan Y. Integrated assessment and influencing factor analysis of energy-economy-environment system in rural China. AIMS Energy, 2024, 12(6): 1173-1205. https://doi.org/10.3934/energy.2024054

1311

Views

70

Downloads

12

Crossref

11

Web of Science

11

Scopus

Received: 07 September 2024
Revised: 13 November 2024
Accepted: 18 November 2024
Published: 27 November 2024
©2024 the Author(s), licensee AIMS Press.

This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0)