Tropical Geography

   

Spatial-Temporal Evolution and Influencing Factors of Synergy in Pollution and Carbon Reduction in China's Coastal Urban Agglomerations

Xiaolong Chen1(), Qianbin Di1,2,3(), Hongyu Wu2   

  1. 1.School of Geography, Liaoning Normal University, Dalian 116029, China
    2.Marine Economies and Sustainable Development Research Center, Liaoning Normal University, Dalian 116029, China
    3.HEKRI of Marine Economy and Coastal Economic Zone, Hebei Normal University of Science and Technology, Qinhuangdao 066004, China
  • Received:2022-08-25 Revised:2022-12-25 Online:2023-09-07
  • Contact: Qianbin Di E-mail:chenxl0313@163.com;dqbwmn@163.com

Abstract:

China has entered a critical period of economic transformation and rapid development. In this context, it is important to promote the coordinated emission reduction of carbon dioxide and environmental pollutants, transformation of the economic growth model, realization of the "double carbon" goal, and high-quality economic development. Within the framework of the synergy of pollution and carbon reduction, we constructed a comprehensive evaluation index system and used the improved TOPSIS model to measure the synergy index of pollution and carbon reduction in urban agglomerations within the period from from 2010 to 2019. Combined with spatial autocorrelation analysis, a composite system synergy model, and a regression model, the spatial and temporal evolution laws and collaborative development level of the synergy of pollution and carbon reduction in urban agglomerations were analyzed, and the factors influencing the synergy between pollution and carbon reduction were explored. Following conclusions were drawn from the results. (1) From 2010 to 2019, the synergistic effect of pollution and carbon reduction in three major urban agglomerations showed a steady growth trend, with different spatial distribution patterns. The synergistic index of pollution and carbon reduction in the Yangtze River Delta urban agglomeration shows an overall upward trend, that in the Beijing–Tianjin–Hebei urban agglomeration shows a steady fluctuation, and that in the Pearl River Delta urban agglomeration shows a slow growth trend. (2) The spatial correlation characteristics of the Beijing–Tianjin–Hebei urban agglomeration change from random to regular distributions, and the synergistic cooperation mechanism of pollution and carbon reduction among cities in the Yangtze River Delta urban agglomeration needs to be strengthened. The radiation and driving effect of the cities in the Pearl River Delta urban agglomeration on the surrounding cities is gradually increasing, and the local spatial agglomeration of these three major urban agglomerations is not evident. (3) From 2010 to 2019, the order degree of the synergistic system of pollution and carbon reduction showed a significant growth trend; the overall synergy degree of the composite system is low, and the growth order of the urban agglomerations is as follows: Yangtze River Delta > Beijing-Tianjin-Hebei > Pearl River Delta. Different evolution and correlation characteristics are observed in space, and no internal coordination of urban agglomerations is seen. (4) Economic development, environmental pollution, environmental governance, ecological protection, and resource utilization are important factors affecting the synergistic evolution of pollution and carbon reduction in the three aforementioned major urban agglomerations. This study analyzed the connotation requirements and specific characteristics of the synergy between pollution and carbon reduction in such agglomerations in the coastal areas of China. Based on the analysis of the spatial and temporal evolution and influencing factors of the synergy of pollution and carbon reduction in these agglomerations, we aim to address the problems existing in the synergy of pollution and carbon reduction in urban agglomerations. Corresponding countermeasures and suggestions are put forward to provide an empirical reference for the realization of comprehensive green and low-carbon transformation and high-quality green development of urban economies and societies.

Key words: Dual-carbon target, synergy in pollution and carbon reduction, collaborative development theory, spatial autocorrelation, panel data regression, urban agglomeration

CLC Number: 

  • F127