Hybrid predictive decision-making approach to emission reduction policies for sustainable energy industry | |
Zhou, Chao1![]() | |
2020-05-01 | |
发表期刊 | Energies
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EISSN | 1996-1073 |
卷号 | 13期号:9 |
摘要 | Carbon emissions are a prominent issue for sustainable energy production and management. Energy policies under the growing competitive environment could change the priorities of emission reduction and investment decisions. This paper aims to forecast carbon emissions from China and to rank the importance of carbon emissions with interval type 2 (IT2) fuzzy sets (FS) for sustainable energy investments. For this purpose, the quadratic model is applied to measuring emission trends and the Qualitative Flexible Multiple Criteria Method (QUALIFLEX) is used for measuring sustainable energy investment alternatives by the several emission levels. Forecasted values of 29 provinces in China are converted into the linguistic and fuzzy numbers based on IT2 FS respectively to measure the priorities of emission reduction for sustainable economies. The novelty of this paper is to propose a hybrid decision-making approach based on quadratic modeling and the QUALIFLEX method and to discuss the overall energy emission trend and policies for sustainable economic growth. The results demonstrate that emission reduction policies are the most important phenomenon and the environmental factors should be widely considered to construct sustainable energy investments and production. © 2020 by the authors. |
关键词 | Carbon Decision making Economics Emission control Energy conservation Fuzzy sets Sustainable development Competitive environment Emission reduction policies Environmental factors Investment decisions Quadratic modeling Sustainable economic growth Sustainable economy Sustainable energy |
DOI | 10.3390/en13092220 |
收录类别 | EI ; SCIE ; SSCI |
语种 | 英语 |
WOS研究方向 | Energy & Fuels |
WOS类目 | Energy & Fuels |
WOS记录号 | WOS:000535739300098 |
出版者 | MDPI AG |
EI入藏号 | 20202008646876 |
EI分类号 | 451.2 Air Pollution Control ; 525.2 Energy Conservation ; 804 Chemical Products Generally ; 912.2 Management ; 971 Social Sciences |
原始文献类型 | Journal article (JA) |
出版地 | BASEL |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | https://ir.cqcet.edu.cn/handle/39TD4454/3004 |
专题 | 财经管理学院 |
作者单位 | 1.School of Business, Chongqing College of Electronic Engineering, Chongqing; 401331, China; 2.School of Economics and Business Administration, Chongqing University, Chongqing; 400030, China; 3.School of Economics and Management, Chongqing Normal University, Chongqing; 401331, China; 4.School of Geography and Tourism, Chongqing Normal University, Chongqing; 401331, China; 5.School of Business, Istanbul Medipol University, Istanbul; 34810, Turkey |
第一作者单位 | 重庆电子科技职业大学 |
推荐引用方式 GB/T 7714 | Zhou, Chao,Liu, Dongyu,Zhou, Pengfei,et al. Hybrid predictive decision-making approach to emission reduction policies for sustainable energy industry[J]. Energies,2020,13(9). |
APA | Zhou, Chao,Liu, Dongyu,Zhou, Pengfei,Luo, Jie,Yuksel, Serhat,&Dincer, Hasan.(2020).Hybrid predictive decision-making approach to emission reduction policies for sustainable energy industry.Energies,13(9). |
MLA | Zhou, Chao,et al."Hybrid predictive decision-making approach to emission reduction policies for sustainable energy industry".Energies 13.9(2020). |
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文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
Zhou-2020-Hybrid Pre(1224KB) | 期刊论文 | 出版稿 | 开放获取 | CC BY-NC-SA | 浏览 下载 | |
Zhou-2020-Hybrid pre(1224KB) | 期刊论文 | 出版稿 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
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