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Spatial network analysis of green electricity efficiency dynamics in the Yellow River Basin cities

by Chen, Tingwei , Yang, Feng , Li, Yujie , Zhang, Zongbin

in 704/844 / 704/844/4066 / 704/844/685 / 704/844/843 / Agricultural production / Alternative energy / Carbon / Cities / Clean technology / Coal / Cooperation / Developing countries / Economic development / Efficiency / Electric power / Electricity / Electricity distribution / Environmental impact / Environmental regulations / Green electricity efficiency / Humanities and Social Sciences / LDCs / multidisciplinary / Quadratic assignment procedure / River basins / Rivers / Science / Science (multidisciplinary) / Social network analysis / Social networks / Social organization / Spatial analysis / Super-SBM model / Sustainable development / Yellow River Basin

2024

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Spatial network analysis of green electricity efficiency dynamics in the Yellow River Basin cities

by Chen, Tingwei , Yang, Feng , Li, Yujie , Zhang, Zongbin

2024

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Spatial network analysis of green electricity efficiency dynamics in the Yellow River Basin cities

by Chen, Tingwei , Yang, Feng , Li, Yujie , Zhang, Zongbin

2024

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Journal Article

Spatial network analysis of green electricity efficiency dynamics in the Yellow River Basin cities

Chen, Tingwei,

Yang, Feng,

Li, Yujie,

Zhang, Zongbin

2024

Overview

Improving the green electricity efficiency (GEE), is an important issue for China's high-quality economic development. This study presents a spatial correlation network of urban GEE in the Yellow River Basin from 2012 to 2021, constructed using an improved gravity model. Social network analysis and the quadratic assignment procedure method are employed to analyze the spatial correlation characteristics and influencing factors. The findings indicate that urban GEE in the Yellow River Basin exhibits complex and stable network characteristics. The spatial network analysis reveals that Jiayuguan City, Dongying City, Dingxi City, Zibo City, and Shizuishan City occupy central positions within the network. The results indicate that spatial adjacency, GDP per capita, industrial structure, and the level of science and technology expenditure are positively related to urban GEE, while environmental regulation and average temperature are negatively related. The findings of the study have led to policy recommendations aimed at enhancing urban GEE in the Yellow River Basin.

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Publisher

Nature Publishing Group UK,Nature Publishing Group,Nature Portfolio

Subject

/ Agricultural production

/ Alternative energy

/ Carbon