Wang, Z.; Zhou, Y.; Zhao, N.; Wang, T.; Zhang, Z. Spatial Correlation Network and Driving Effect of Carbon Emission Intensity in China’s Construction Industry. Buildings2022, 12, 201.
Wang, Z.; Zhou, Y.; Zhao, N.; Wang, T.; Zhang, Z. Spatial Correlation Network and Driving Effect of Carbon Emission Intensity in China’s Construction Industry. Buildings 2022, 12, 201.
Wang, Z.; Zhou, Y.; Zhao, N.; Wang, T.; Zhang, Z. Spatial Correlation Network and Driving Effect of Carbon Emission Intensity in China’s Construction Industry. Buildings2022, 12, 201.
Wang, Z.; Zhou, Y.; Zhao, N.; Wang, T.; Zhang, Z. Spatial Correlation Network and Driving Effect of Carbon Emission Intensity in China’s Construction Industry. Buildings 2022, 12, 201.
Abstract
To explore the spatial network structure characteristics and driving effects of carbon emission intensity in China's construction industry, the investigation combined the modified gravity model and social network analysis method to deeply analyze the spatially associated network structure characteristics and driving effects of carbon emission intensity in China's construction industry, based on the measurement of carbon emission data of China's construction industry from 2006 to 2017. The results show that the regional differences of carbon emission of construction industry are significant, and the carbon emission intensity of construction industry show a fluctuation trend. The overall network of carbon emission intensity shows an obvious “core-edge” state, the hierarchical network structure is gradually broken. Economically developed provinces generally play a leading role in the network, and play an intermediary role to guide other provinces to develop together with them. Among the network blocks, most of the blocks play the role of “brokers”. The block with the leading economic development has a strong influence on the other blocks. The increase of network density, the decrease of network hierarchy and network efficiency will reduce the construction carbon emission intensity.
Keywords
carbon emission intensity; gravity model; social network; driving effect; sustainable development; Construction industry
Subject
Engineering, Control and Systems Engineering
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
