文献类型：期刊文献

英文题名：Quantifying the synergy and trade-offs among economy-energy-environment-social targets: A perspective of industrial restructuring

作者：Zhang, Shuo[1];Yu, Yadong[1];Kharrazi, Ali[2,3,4];Ren, Hongtao[1];Ma, Tieju[1,2]

机构：[1]East China Univ Sci & Technol, Sch Business, Meilong Rd 130, Shanghai 200237, Peoples R China;[2]Int Inst Appl Syst Anal, Schlosspl 1, A-2361 Laxenburg, Austria;[3]Cafoscari Univ Venice, CMCC Fdn, Euro Mediterranean Ctr Climate Change, I-30175 Venice, Italy;[4]Akita Int Univ, Fac Int Liberal Arts, Global Studies Program, Yuwa City, Akita 0101292, Japan

年份：2022

卷号：316

外文期刊名：JOURNAL OF ENVIRONMENTAL MANAGEMENT

收录：;EI(收录号：20233214523220);WOS:【SCI-EXPANDED(收录号:WOS:000806516900002)】；

基金：Acknowledgements The authors would like to acknowledge the financial support of the National Natural Science Foundation of China (72074077, 71704055, 71961137012, 72140006, 72131007) .

语种：英文

外文关键词：Synergy; Trade-offs; Carbon emission; Pollutant emissions; Multi-objective optimization; Input-output analysis

摘要：Protecting our environment while maintaining economic growth, requires a delicate balance among interlinked sustainable development policies. In this paper, we examine China's economic industries, including a highresolution of the country's electricity sector during 2020-2030, using a multi-objective optimization model based on Input-Output analysis. This model, investigates the synergy and trade-offs of sustainable development goals in maximizing employment and GDP while minimizing energy and water consumption, CO2 emissions, and five major pollutants to advance a sustainable industrial structure adjustment pathway for China. Our results reveal that there exists both synergies and trade-offs among multiple objectives, e.g., synergy among goals of minimizing air pollutant emissions and trade-offs between minimizing energy consumption and maximizing employment. Through the planned industrial restructuring period (2020-2030), the GDP, employment, carbon emission, and energy consumption will increase respectively by, 96.1%, 7.2%, 16.8%, 16.8%, and 6.3%, while pollutant emissions would decrease. Moreover, our research indicates that energy and water conservation should be prioritized in industrial structure adjustment strategies and policies. Our model demonstrates how the synergies and trade-offs among multiple policy targets can empower policy-makers, especially in developing nations, to make more informed and optimized industrial structure adjustment policies for sustainable development.