LAPSE:2023.35599
Published Article
LAPSE:2023.35599
Research on the Impact of Energy Efficiency on Green Development: A Case Study of the Yellow River Basin in China
Jianhua Liu, Yingying Zhang, Lingyu Pu, Liangchao Huang, Huiyang Wang, Muddassar Sarfraz
May 23, 2023
In order to achieve China’s carbon peaking and carbon neutrality (double carbon) targets and to advance ecological conservation and high-quality development in the Yellow River Basin, it is essential that China reduces its energy intensity and increases its energy efficiency. This research developed an evaluation index system for energy efficiency and green development in the Yellow River Basin based on panel data collected from 64 of its prefecture-level cities and covering the period from 2011 to 2020. Each city’s energy efficiency and green development level index was calculated, and was analyzed together with the characteristics of its spatial pattern progression. The STIRPAT model was then used to investigate the influence mechanism of energy efficiency on green development. The final step in the analysis was to assess the process by which technical innovation influences the rise in energy efficiency from a green development point of view. The findings of this study indicate that: (1) There was a marked improvement in energy efficiency and green development levels across the Yellow River Basin over the study period of 2011 to 2020, but there are notable disparities among prefecture-level cities, with higher levels found in capital cities and cities in the lower reaches of the basin. (2) The improvement in energy efficiency has had a positive impact on the transition to green development, with factors such as human capital, urbanization levels, and the upgrading of industrial structures contributing significantly, while the level of foreign direct investment has had a limited impact. (3) Technological innovation plays a partial role in mediating the relationship between energy efficiency and green development in the Yellow River Basin, and passes the single-threshold test. When technological innovation surpasses the threshold value, the effect of energy efficiency on green development is significantly strengthened. This study indicates that improving energy efficiency, stimulating emerging industries, and enhancing technological innovation capabilities can significantly promote transformative green and high quality development in the Yellow River Basin of China.
Keywords
Energy Efficiency, green development, green economy, sustainable development, Yellow River Basin
Suggested Citation
Liu J, Zhang Y, Pu L, Huang L, Wang H, Sarfraz M. Research on the Impact of Energy Efficiency on Green Development: A Case Study of the Yellow River Basin in China. (2023). LAPSE:2023.35599
Author Affiliations
Liu J: School of Management, Zhengzhou University, Zhengzhou 450001, China; Yellow River Institute for Ecological Protection & Regional Coordinated Development, Zhengzhou University, Zhengzhou 450001, China
Zhang Y: School of Management, Zhengzhou University, Zhengzhou 450001, China
Pu L: School of Management, Zhengzhou University, Zhengzhou 450001, China
Huang L: School of Management, Zhengzhou University, Zhengzhou 450001, China; Institute of Subsurface Energy Systems, Clausthal University of Technology, 38678 Clausthal Zellerfeld, Germany [ORCID]
Wang H: School of Management, Zhengzhou University, Zhengzhou 450001, China
Sarfraz M: School of Management, Zhejiang Shuren University, Hangzhou 310015, China [ORCID]
Journal Name
Energies
Volume
16
Issue
9
First Page
3660
Year
2023
Publication Date
2023-04-24
Published Version
ISSN
1996-1073
Version Comments
Original Submission
Other Meta
PII: en16093660, Publication Type: Journal Article
Record Map
Published Article

LAPSE:2023.35599
This Record
External Link

doi:10.3390/en16093660
Publisher Version
Download
Files
[Download 1v1.pdf] (5.4 MB)
May 23, 2023
Main Article
License
CC BY 4.0
Meta
Record Statistics
Record Views
130
Version History
[v1] (Original Submission)
May 23, 2023
 
Verified by curator on
May 23, 2023
This Version Number
v1
Citations
Most Recent
This Version
URL Here
https://psecommunity.org/LAPSE:2023.35599
 
Original Submitter
Calvin Tsay
Links to Related Works
Directly Related to This Work
Publisher Version