School of Business, East China University of Science and Technology, Meilong Road 130, Shanghai, 200237, China.
School of Business, East China University of Science and Technology, Meilong Road 130, Shanghai, 200237, China.
J Environ Manage. 2022 Aug 15;316:115285. doi: 10.1016/j.jenvman.2022.115285. Epub 2022 May 16.
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 high-resolution 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, CO 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.
在保持经济增长的同时保护环境，需要在相互关联的可持续发展政策之间取得微妙的平衡。在本文中，我们利用基于投入产出分析的多目标优化模型，考察了中国的经济产业，包括 2020-2030 年期间该国电力部门的高分辨率。该模型调查了在最大限度地增加就业和 GDP 的同时，最小化能源和水消耗、二氧化碳排放以及五种主要污染物的可持续发展目标的协同作用和权衡取舍，以推进中国可持续的产业结构调整途径。我们的研究结果表明，多个目标之间存在协同作用和权衡取舍，例如，在最小化空气污染物排放的目标之间存在协同作用，而在最小化能源消耗和最大化就业之间存在权衡取舍。通过规划的产业结构调整期（2020-2030 年），GDP、就业、碳排放和能源消耗将分别增长 96.1%、7.2%、16.8%、16.8%和 6.3%，同时污染物排放将减少。此外，我们的研究表明，在产业结构调整战略和政策中应优先考虑能源和水资源节约。我们的模型展示了多个政策目标之间的协同作用和权衡取舍如何使决策者，特别是发展中国家的决策者能够制定更明智和优化的产业结构调整政策，以实现可持续发展。
