ORIGINAL RESEARCH
Intelligent Effects and Green Development in China: Evidence from Energy-Growth Nexus
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1
Economics and Trade College, Fujian Jiangxia University, Fuzhou Fujian 350108,China
 
2
Fujian Polytechnic Normal University, Fuqing Fuzhou, 350008, China
 
3
Zhejiang College, Shanghai University of Finance and Economics, Jinhua Zhejiang 321013, China
 
 
Submission date: 2023-05-16
 
 
Final revision date: 2023-07-04
 
 
Acceptance date: 2023-07-10
 
 
Online publication date: 2023-09-15
 
 
Publication date: 2023-10-25
 
 
Corresponding author
Wenjin Zuo   

Zhejiang College, Shanghai University of Finance and Economics, China
 
 
Pol. J. Environ. Stud. 2023;32(6):5425-5432
 
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ABSTRACT
Intelligence relieving energy consumption and economic growth nexus is important for green development. To explore the potential power for sustainability, this paper uses entropy weight method to measure the intelligent level, adopts decoupling indicator between energy consumption and economic growth for green growth performance, and builds a spatial model to diagnose the mechanism of decoupling system. The results show that the achievements of intelligent development in the three regions are remarkable, and the intelligent level in the eastern region is the most prominent of all. Regardless of regional differences, intelligence is the main and stable driver deepening decoupling indicator; Notable pushing-out or pushing-in spilling power on regional decoupling through many channels can be identified, namely urbanization, income and FDI. Clean energy can help promote the driving effects of intelligence on decoupling and is not confined by regions. The fierce green competition race in the form of "anti-typicality" mode exists in various regions, especially in the Western region; only in the Middle region, the intelligent spatial spillover effect can form the driving force for decoupling. Accelerating the intelligent development and the application of clean energy is an effective measure to achieve the green environmental targets.
eISSN:2083-5906
ISSN:1230-1485
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