ORIGINAL RESEARCH
An Empirical Examination of the Coupling
Coordination Development of Energy
Environment and Socioeconomic: A Case Study
of the Yangtze River Economic Belt in China
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1
College of Preschool and Primary Education, China West Normal University, Nanchong, 637000,
Sichuan, China
2
School of Marxism, Sichuan University, Chengdu, 610207, Sichuan, China
Submission date: 2023-09-18
Final revision date: 2023-11-13
Acceptance date: 2023-11-23
Online publication date: 2024-02-26
Publication date: 2024-04-09
Corresponding author
Yang Yang
School of Marxism, Sichuan University, Chengdu, 610207, Sichuan, China
Pol. J. Environ. Stud. 2024;33(3):3193-3207
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ABSTRACT
Investigating the degree of coupled energy environment (EE) and socioeconomic (SE) coordination
is becoming a commonly understood necessity in the process of achieving SDGs. The provinces
along the Yangtze River Economic Belt (YREB) in China have significant spatial variations in their
energy endowment, industrial structure, and ecological environment, and assessing the spatiotemporal
evolution and coordination of EE and SE can provide valuable insights into the development trajectory
of the area. This work revealed the interaction mechanism between EE and SE and developed a novel
coupling coordination analysis framework, which integrated the dynamic deviation maximum method
and the improved coupling coordination degree model. The dynamic deviation maximum method
is used to evaluate the performance of the EE subsystem and SE subsystem, while the improved coupling
coordination degree (CCD) model is used to assess the spatiotemporal effect between EE and SE
in the YREB. The results show that the overall development of CCD between EE and SE demonstrated
a growing trend over time and forms a spatial pattern of downstream>midstream>upstream.
Additionally, the investment intensity of industrial structure and environmental management has
a catalytic effect on CCD, whereas industrial pollution emissions, energy consumption, and fixed
asset investment intensity have a suppressive effect. These findings can provide valuable insights
for decision-making in urban planning, large-scale engineering construction, energy structure
transformation, and green low-carbon development.