[Spatial Correlation Network Structure and Driving Factors of Carbon Emission Intensity in the Manufacturing Industry of the Yangtze River Economic Belt].

Abstract

Carbon emissions reduction in the manufacturing industry of the Yangtze River Economic Belt is crucial for green development， addressing climate change， optimizing industries， improving energy efficiency， and achieving economic sustainability. It is the key to achieving the goal of ecological civilization construction. Based on provincial panel data from 2011 to 2021， the carbon emission intensity of the manufacturing industry in the Yangtze River Economic Belt was calculated， and the spatial correlation network of carbon emission intensity of the manufacturing industry was constructed using the modified gravity model. The overall characteristics， individual characteristics， and spatial clustering characteristics of the spatial correlation network of carbon emission intensity of the manufacturing industry were investigated using the social network analysis method. Finally， the driving factors of network formation were dynamically analyzed based on the QAP model. The results of the study follow： ① The carbon emission intensities of the Yangtze Economic Belt in each province and city clearly decreased， and the structure of the space-related network was clear； however， the space isolation and the stability of the network structure remained poor. ② The cities of Jiangsu， Shanghai， and Zhejiang Provinces play a long-term role in the spatial network， and the northwestern area of Sichuan Province， Yunnan Province， etc.， is located in an edge position in the long term， but the role in the network gradually strengthened through the research period. ③ During the study period， the factions of Shanghai， Jiangsu， and Zhejiang were leading factions， and the mutual exchanges of Hubei and Hunan Provinces were limited. The frequency of this interchange must be improved. ④ The geographical proximity， resource distribution， property rights structure， environmental regulation， and enterprise scale between provinces and cities have a significant impact on the formation of spatial connectivity networks.