Knowledge Agora



Similar Articles

Title How ICT capital affects the spatial correlation of energy consumption-a new perspective based on spatially correlation network
ID_Doc 33757
Authors Zhong, MR; Xia, JL; Xu, Q
Title How ICT capital affects the spatial correlation of energy consumption-a new perspective based on spatially correlation network
Year 2023
Published Environmental Science And Pollution Research, 30.0, 58
Abstract ICT has significantly transformed the traditional energy production and service methods, changed the correlation characteristics of energy consumption network, and contributed to the establishment of cross-regional, open, and synergistic energy ecological networks. In this paper, social network analysis (SNA), dynamic SYS-GMM model, and mediating effects model are employed to deliberate on the mechanism of ICT capital's influence on the spatial correlation of energy consumption from 2000 to 2019. Firstly, this study employs an enhanced gravity model to precisely delineate the spatial correlation network of energy consumption in China, further applies the SNA to analyze the network structural characteristics, and then uses the econometric model to investigate the influence mechanism and heterogeneity of ICT capital on the spatial correlation of energy consumption. The study demonstrates a progressive spatial correlation in energy consumption in China, with eastern provinces emerge as the center of the network, assuming the position of the "dominant player." Conversely, the central provinces act as the "bridge," and western provinces are positioned at the periphery, referred to as the "edge" of the network. ICT capital contributes to improving the energy consumption spatial correlation, mainly by stimulating green technology innovation, promoting industrial structure optimization, accelerating human capital accumulation, and reducing income inequality. As ICT capital expands, the eastern region becomes more preeminent as a network hub for energy consumption, the central region increases its dominance slightly, and the western region's marginal position does not change significantly. Furthermore, the presence of ICT capital significantly enhances the intensity of energy consumption spatial correlation more prominently for low-carbon pilot areas and high Internet level areas. This study guides provinces to fully utilize ICT capital to reach collaborative energy-saving goals, and promotes the breaking down of regional competitive barriers in energy systems to build cooperative energy conservation ecological networks.
PDF

Similar Articles

ID Score Article
33533 Sun, ZR; Cheng, XH; Zhuang, YM; Sun, Y Spatial correlation network structure characteristics of carbon emission efficiency and its influencing factors at city level in China(2024)Environment Development And Sustainability, 26.0, 2
32770 Wu, HT; Hao, Y; Ren, SY; Yang, XD; Xie, G Does internet development improve green total factor energy efficiency? Evidence from China(2021)
30804 Sun, HY What are the roles of green technology innovation and ICT employment in lowering carbon intensity in China? A city-level analysis of the spatial effects(2022)
33179 Pang, QH; Zhao, TX; Zhang, LN How does Information and Communication Technology (ICT) industry agglomeration affect carbon emission efficiency? Evidence from China(2023)
33245 Zhuang, H; Lin, HX; Zhong, KY Spatial spillover effects and driving factors of regional green innovation efficiency in china from a network perspective(2022)
35531 Fan, JD; Xiao, ZH Analysis of spatial correlation network of China's green innovation(2021)
62761 Li, XM; Zhang, YC; Zhou, SW; Zhao, ZG; Zhao, YF Exploration and future trends on spatial correlation of green innovation efficiency in strategic emerging industries under the digital economy: A social network analysis(2024)
33407 Liang, DP; Liu, JJ; Liu, MT; Sun, JY Does information infrastructure and technological infrastructure reduce carbon dioxide emissions in the context of sustainable development? Examining spatial spillover effect(2024)Sustainable Development, 32.0, 3
30260 Fan, DC; Wu, XL Spatial Correlation Network Analysis of Industrial Green Technology Innovation Efficiency in China(2023)Systems, 11, 5
32135 Zhou, H; Qu, SJ; Wu, Z; Ji, Y A study of environmental regulation, technological innovation, and energy consumption in China based on spatial econometric models and panel threshold models(2020)Environmental Science And Pollution Research, 27, 30
Scroll