Coupling and coordinated evolution characteristics of regional economy-energy-carbon emission multiple systems: A case study of main China's Basin.

J Environ Sci (China)

SDU Life Cycle Engineering, Department of Green Technology, University of Southern Denmark, 5230 Odense, Denmark. Electronic address:

Published: June 2024

Comprehensive analysis of the Economy-Energy-Carbon Emission (EECE) system is beneficial for promoting sustainable social development. This study analyzes the system development of major watersheds in China from 2010 to 2019. The research fully considers the system's internal and external inputs and outputs and proposes an evaluation index system for regional EECE coupling and coordinated development. Then, using the difference in system weight allocation to improve the coupling and coordination model, the study explores the dynamic system's coupling and coordination. The results show that (1) The development of the system structure is relatively stable, but the overall development status is not ideal; (2) The downstream of China's main river basins has obvious economic advantages, while the energy system fluctuates greatly. The efficiency of the carbon emission system will decrease in areas with rapid economic development. The coupling and coordination level of the EECE system is better in the Yangtze River Basin than in the Yellow River Basin; (3) From the perspective of dynamic coordinated development, the main river basins have been divided into two states since 2012, but it is relatively stable overall. Regional dynamic coordination is often at a disadvantage in regions with rapid economic and energy development; (4) The coupling coordination degree of the two river basins has significant positive spatial autocorrelation. Most provinces' significant spatial clustering characteristics of the coupling coordination degree are High-High type. Low-Low type provinces are mainly concentrated downstream. The research process has certain reference significance for the collaborative governance of complex regional systems.

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http://dx.doi.org/10.1016/j.jes.2023.07.007DOI Listing

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