LAPSE:2023.23002
Published Article

LAPSE:2023.23002
Hybrid Predictive Decision-Making Approach to Emission Reduction Policies for Sustainable Energy Industry
March 24, 2023
Abstract
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.
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.
Record ID
Keywords
emission reduction, energy investments, forecasting, IT2 fuzzy sets, QUALIFLEX, Sustainability
Subject
Suggested Citation
Zhou C, Liu D, Zhou P, Luo J, Yuksel S, Dincer H. Hybrid Predictive Decision-Making Approach to Emission Reduction Policies for Sustainable Energy Industry. (2023). LAPSE:2023.23002
Author Affiliations
Zhou C: School of Business, Chongqing College of Electronic Engineering, Chongqing 401331, China
Liu D: School of Economics and Business Administration, Chongqing University, Chongqing 400030, China
Zhou P: School of Economics and Management, Chongqing Normal University, Chongqing 401331, China [ORCID]
Luo J: School of Geography and Tourism, Chongqing Normal University, Chongqing 401331, China
Yuksel S: School of Business, Istanbul Medipol University, 34810 Istanbul, Turkey [ORCID]
Dincer H: School of Business, Istanbul Medipol University, 34810 Istanbul, Turkey [ORCID]
Liu D: School of Economics and Business Administration, Chongqing University, Chongqing 400030, China
Zhou P: School of Economics and Management, Chongqing Normal University, Chongqing 401331, China [ORCID]
Luo J: School of Geography and Tourism, Chongqing Normal University, Chongqing 401331, China
Yuksel S: School of Business, Istanbul Medipol University, 34810 Istanbul, Turkey [ORCID]
Dincer H: School of Business, Istanbul Medipol University, 34810 Istanbul, Turkey [ORCID]
Journal Name
Energies
Volume
13
Issue
9
Article Number
E2220
Year
2020
Publication Date
2020-05-02
ISSN
1996-1073
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Original Submission
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PII: en13092220, Publication Type: Journal Article
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LAPSE:2023.23002
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https://doi.org/10.3390/en13092220
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[v1] (Original Submission)
Mar 24, 2023
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Mar 24, 2023
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