{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T01:36:45Z","timestamp":1760146605402,"version":"build-2065373602"},"reference-count":58,"publisher":"MDPI AG","issue":"12","license":[{"start":{"date-parts":[[2024,11,25]],"date-time":"2024-11-25T00:00:00Z","timestamp":1732492800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"National Social Science Foundation of China (Youth Fund)","award":["19CGL042","T2021032"],"award-info":[{"award-number":["19CGL042","T2021032"]}]},{"name":"Hubei Provincial Outstanding Young Science and Technology Innovation Team Project","award":["19CGL042","T2021032"],"award-info":[{"award-number":["19CGL042","T2021032"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Systems"],"abstract":"<jats:p>In this study, we utilized multi-regional input\u2013output (MRIO) tables from 2012 to 2017 to determine the spatiotemporal characteristics of CO2 emissions, air pollutant emissions, and value added associated with trade in different regions and industries, as well as the level of coupling coordination among them. Secondly, structural decomposition analysis (SDA) was used to identify the drivers of changes in the above indicators at the regional level. The results show that consumption-based emissions exceeded those based on production in developed regions such as Jing-Jin and the eastern coastal regions, while the opposite occurred in energy hubs such as the northern coastal and central regions; the results of the value added show higher levels in production areas than in consumption areas in the eastern coastal regions, while the opposite trend was observed in the northwestern regions. In different industries, energy production and heavy manufacturing contributed significantly to CO2, PM2.5, and SO2 emissions, while the service industry contributed more to NOx and VOC emissions and value added. The relationships among the changes in the three consumption-based indicators were divided into four categories: positive synergies, negative synergies, trade-offs A, and trade-offs B. Recommendations for targeted collaborative management strategies were delineated based on a regional resource-driven classification.<\/jats:p>","DOI":"10.3390\/systems12120520","type":"journal-article","created":{"date-parts":[[2024,11,25]],"date-time":"2024-11-25T08:38:24Z","timestamp":1732523904000},"page":"520","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Spatiotemporal Synergistic Effect and Categorized Management Policy of CO2 and Air Pollutant Reduction and Economic Growth Under China\u2019s Interregional Trade"],"prefix":"10.3390","volume":"12","author":[{"given":"Luzhen","family":"Bai","sequence":"first","affiliation":[{"name":"School of Management, Wuhan University of Science and Technology, Wuhan 430065, China"},{"name":"Research Center for Environment and Health, Zhongnan University of Economics and Law, Wuhan 430073, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Long","family":"Dong","sequence":"additional","affiliation":[{"name":"Research Center for Environment and Health, Zhongnan University of Economics and Law, Wuhan 430073, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qian","family":"Li","sequence":"additional","affiliation":[{"name":"Central and Southern China Municipal Engineering Design & Research Institute Co., Ltd., Wuhan 430010, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2869-764X","authenticated-orcid":false,"given":"Zhiguang","family":"Qu","sequence":"additional","affiliation":[{"name":"Research Center for Environment and Health, Zhongnan University of Economics and Law, Wuhan 430073, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4791-3264","authenticated-orcid":false,"given":"Fei","family":"Li","sequence":"additional","affiliation":[{"name":"Research Center for Environment and Health, Zhongnan University of Economics and Law, Wuhan 430073, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2024,11,25]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"275","DOI":"10.1016\/j.rser.2018.03.065","article-title":"Potential of solar energy in developing countries for reducing energy-related emissions","volume":"90","author":"Shahsavari","year":"2018","journal-title":"Renew. 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