气候变化领域集成服务门户(CCPortal): Forecasting of industrial structure evolution and CO2 emissions in Liaoning Province

CCPortal

DOI	10.1016/j.jclepro.2020.124870
	Forecasting of industrial structure evolution and CO2 emissions in Liaoning Province
	Pan X.; Xu H.; Song M.; Lu Y.; Zong T.
发表日期	2021
ISSN	9596526
卷号	285
英文摘要	A framework for predicting environment should focus on the sources of economic growth, behavioral issues of market participants and the changing structure of the regional economy over time. This paper constructed a multi-agent intertemporal optimization model (MIOM) that include consumer preference, technology input and knowledge accumulation to forecast CO2 emission trends of 13 industrial sectors in Liaoning Province from 2018 to 2030. With the premise of maximizing consumer benefit, the model realizes intertemporal optimization in sector output and investment and obtains the optimal path of economic growth driven by capital. The results show that: (1) Liaoning Province's economy will maintain the abidance growth driven by investment. Before 2030, the economic growth rate of Liaoning Province is on the rise. (2) Departments with higher consumption preferences will account for a higher proportion of total economic output. And the bigger the gap of consumption preference is, the more obvious the change of industrial structure will be. (3) In the current level of R&D investment and economic growth, the energy consumption structure of most energy-intensive industries in Liaoning will continue to decline in the future except oil industry. (4) Under the influence of R&D investment and knowledge accumulation, the emission intensity of most industrial sectors will continue to decline during the simulation period, and the annual growth rate of CO2 emissions is gradually decreasing. © 2020 Elsevier Ltd
英文关键词	CO2 emissions forecasting; Emissions peak; Industrial emissions; MIOM model; Technology progress
scopus关键词	Carbon dioxide; Energy utilization; Forecasting; Growth rate; Industrial emissions; Investments; Multi agent systems; Petroleum industry; Regional planning; Changing structures; Consumer preferences; Economic growth rate; Energy consumption structure; Energy intensive industries; Industrial structures; Intertemporal optimization; Knowledge accumulation; Industrial economics
来源期刊	Journal of Cleaner Production
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/177241
作者单位	Faculty of Management and Economics, Dalian University of Technology, Dalian, 116024, China; School of Statistics and Applied Mathematics, Anhui University of Finance and Economics, Bengbu, 233030, China
推荐引用方式 GB/T 7714	Pan X.,Xu H.,Song M.,et al. Forecasting of industrial structure evolution and CO2 emissions in Liaoning Province[J],2021,285.
APA	Pan X.,Xu H.,Song M.,Lu Y.,&Zong T..(2021).Forecasting of industrial structure evolution and CO2 emissions in Liaoning Province.Journal of Cleaner Production,285.
MLA	Pan X.,et al."Forecasting of industrial structure evolution and CO2 emissions in Liaoning Province".Journal of Cleaner Production 285(2021).