Literature DB >> 32498168

Economy and carbon dioxide emissions effects of energy structures in the world: Evidence based on SBM-DEA model.

Xiaoyong Lin1, Xiaopeng Zhu1, Yongming Han2, Zhiqiang Geng3, Lin Liu4.   

Abstract

Nowadays, the increasing global warming phenomenon caused by large carbon dioxide (CO2) emissions has a huge impact on the economic and social sustainable development in the world. And CO2 emissions come mainly from the burning of fossil energy, such as oil, natural gas and coal. Therefore, a novel economy and CO2 emissions evaluation model based on the slacks-based measure integrating the data envelopment analysis (SBM-DEA) is proposed to analyze and optimize energy structures of some countries and regions in the world. The consumption of oil, natural gas and coal are inputs of the proposed method. In addition, per capita gross domestic product (GDP) value is the desirable output and CO2 emission is the undesirable output. Then the economy and CO2 emissions evaluation model of some countries and regions in the world is built. The results show that the overall efficiency of developed countries and regions is higher than that of developing countries. Moreover, due to the optimal configuration of slack variables of inputs and the undesirable output, the efficiency values of some inefficient countries and regions can be improved greatly. Furthermore, whether in 2017 or 2018, the average efficiency values of Europe and Oceania are both relatively high, and these two years average efficiency values of Asia are all the lowest among the five continents.
Copyright © 2020 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Carbon dioxide emissions; Countries; Economic improvement; Energy optimization; Energy structure; SBM-DEA

Year:  2020        PMID: 32498168     DOI: 10.1016/j.scitotenv.2020.138947

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  2 in total

1.  A new multivariate grey prediction model for forecasting China's regional energy consumption.

Authors:  Geng Wu; Yi-Chung Hu; Yu-Jing Chiu; Shu-Ju Tsao
Journal:  Environ Dev Sustain       Date:  2022-04-05       Impact factor: 3.219

2.  Spatiotemporal Evolution and Influencing Factors of Carbon Emission Efficiency in the Yellow River Basin of China: Comparative Analysis of Resource and Non-Resource-Based Cities.

Authors:  Yingqi Xu; Yu Cheng; Ruijing Zheng; Yaping Wang
Journal:  Int J Environ Res Public Health       Date:  2022-09-15       Impact factor: 4.614

  2 in total

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