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Hybrid Predictive Decision-Making Approach to Emission Reduction Policies for Sustainable Energy Industry

Author

Listed:
  • Chao Zhou

    (School of Business, Chongqing College of Electronic Engineering, Chongqing 401331, China)

  • Dongyu Liu

    (School of Economics and Business Administration, Chongqing University, Chongqing 400030, China)

  • Pengfei Zhou

    (School of Economics and Management, Chongqing Normal University, Chongqing 401331, China)

  • Jie Luo

    (School of Geography and Tourism, Chongqing Normal University, Chongqing 401331, China)

  • Serhat Yuksel

    (School of Business, Istanbul Medipol University, 34810 Istanbul, Turkey)

  • Hasan Dincer

    (School of Business, Istanbul Medipol University, 34810 Istanbul, Turkey)

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.

Suggested Citation

  • Chao Zhou & Dongyu Liu & Pengfei Zhou & Jie Luo & Serhat Yuksel & Hasan Dincer, 2020. "Hybrid Predictive Decision-Making Approach to Emission Reduction Policies for Sustainable Energy Industry," Energies, MDPI, vol. 13(9), pages 1-21, May.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:9:p:2220-:d:353535
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    Cited by:

    1. Zhou, Pengfei & Luo, Jie & Cheng, Fei & Yüksel, Serhat & Dinçer, Hasan, 2021. "Analysis of risk priorities for renewable energy investment projects using a hybrid IT2 hesitant fuzzy decision-making approach with alpha cuts," Energy, Elsevier, vol. 224(C).

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