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University of Finance and Economics","award":["NCXWD2419"],"award-info":[{"award-number":["NCXWD2419"]}]},{"name":"Mongolia University of Finance and Economics","award":["SZZL202510"],"award-info":[{"award-number":["SZZL202510"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Systems"],"abstract":"<jats:p>As the largest carbon-emitting industry in China, the power industry has huge potential for carbon emission reductions. It is vital to study the spatial correlation of carbon emission efficiency in the power industry (CEEP) from a system perspective to understand the interaction mechanisms of CEEP in different provinces. This study applies the SBM-undesirable model to measure the CEEP in China, and a modified Gravity model and social network analysis (SNA) method are applied to analyze the interaction mechanism of the CEEP from a system perspective. Finally, the influencing factors of the CEEP\u2019s spatial correlation are investigated using the quadratic allocation procedure (QAP) method. The results show that (1) the national CEEP is gradually increasing, while the CEEP gap between provinces is widening; (2) the overall network size shows an increasing trend, but the hierarchical structure is somewhat fixed; (3) the central province of a network has a high degree of consistency with the geographically central province, but the spatial spillover effect of the central node provinces on the peripheral provinces is not sufficient; and (4) differences in geographic proximity, energy intensity, and technical level of power generation significantly affect the formation of spatially correlated networks in the CEEP.<\/jats:p>","DOI":"10.3390\/systems13010030","type":"journal-article","created":{"date-parts":[[2025,1,3]],"date-time":"2025-01-03T07:10:17Z","timestamp":1735888217000},"page":"30","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Spatially Correlated Network Structure and Influencing Factors of Carbon Emission Efficiency in the Power Industry: Evidence from China"],"prefix":"10.3390","volume":"13","author":[{"given":"Baojun","family":"Sun","sequence":"first","affiliation":[{"name":"School of Computer Information and Management, Inner Mongolia University of Finance and Economics, Hohhot 010070, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1620-7431","authenticated-orcid":false,"given":"Taiwen","family":"Feng","sequence":"additional","affiliation":[{"name":"School of Economics and Management, Harbin Institute of Technology (Weihai), Weihai 264209, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mingjing","family":"Du","sequence":"additional","affiliation":[{"name":"School of Computer Information and Management, Inner Mongolia University of Finance and Economics, Hohhot 010070, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yuqing","family":"Liang","sequence":"additional","affiliation":[{"name":"School of Computer Information and Management, Inner Mongolia University of Finance and Economics, Hohhot 010070, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tianbao","family":"Feng","sequence":"additional","affiliation":[{"name":"School of Computer Information and Management, Inner Mongolia University of Finance and Economics, Hohhot 010070, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2025,1,3]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"182","DOI":"10.1038\/s43247-021-00258-9","article-title":"Provinces with transitions in industrial structure and energy mix performed best in climate change mitigation in China","volume":"2","author":"Mi","year":"2021","journal-title":"Commun. 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