International Journal of Computational Intelligence Systems

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Volume 12, Issue 2, 2019, Pages 1311 - 1322

Regional Input–Output Multiple Choice Goal Programming Model and Method for Industry Structure Optimization on Energy Conservation and GHG Emission Reduction in China

Authors
Ping Ping Lin1, Deng Feng Li2, *, Bin Qian Jiang1, An Peng Wei1, Gao Feng Yu1
1School of Economics and Management, Fuzhou University, No. 2 Xueyuan Road, Da Xue District, Fuzhou 350108, China
2School of Management and Economics, University of Electronic Science and Technology of China, No. 2006 Xiyuan Avenue, West Hi-Tech Zone, Chengdu, Sichuan 611731, China
*Corresponding author. Email: lidengfeng@uestc.edu.cn
Corresponding Author
Deng Feng Li
Received 27 September 2019, Accepted 2 November 2019, Available Online 14 November 2019.
DOI
10.2991/ijcis.d.191104.002How to use a DOI?
Keywords
Industrial restructuring; Energy conservation; Greenhouse gas emission reduction; Big data analysis; Input–output model
Abstract

To assess the potential of China's industrial restructuring on energy conservation and greenhouse gas (GHG) emission reduction in 2020, this study proposes an input–output multi-choice goal programming model and method. In this model, the goals include the maximization of gross domestic product (GDP), minimization of energy consumption and GHG emission. They are subjected to the input–output balance, economy development, energy supply, and industry diversity. And four scenarios with different decision preferences are taken into accounted in the solutions of the industrial structure optimization model. The results demonstrate that industrial restructuring has potential in energy saving and emission reducing. First, after optimization, energy consumption intensity and GHG emission intensity can drop by 13.88246% and 5.33767% over 2012, and GDP can grow up at annual growth rate 6.6% from 2013–2020. Second, promoting the development of the low energy-intensive and low GHG emission intensive sectors is an effective method for energy conservation and emission reduction. Three, compared to energy intensity reduction, GHG emission intensity reduction is less effective for four scenarios. Four, there are several difficulties to achieve the amounts and intensity control targets of energy conservation and GHG emission reduction simultaneously. It is suggested that China had better strive to promote progress of technologies of energy conservation and GHG emission reduction while adjusting the industrial structure.

Copyright
© 2019 The Authors. Published by Atlantis Press SARL.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).

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Journal
International Journal of Computational Intelligence Systems
Volume-Issue
12 - 2
Pages
1311 - 1322
Publication Date
2019/11/14
ISSN (Online)
1875-6883
ISSN (Print)
1875-6891
DOI
10.2991/ijcis.d.191104.002How to use a DOI?
Copyright
© 2019 The Authors. Published by Atlantis Press SARL.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

risenwbib
TY  - JOUR
AU  - Ping Ping Lin
AU  - Deng Feng Li
AU  - Bin Qian Jiang
AU  - An Peng Wei
AU  - Gao Feng Yu
PY  - 2019
DA  - 2019/11/14
TI  - Regional Input–Output Multiple Choice Goal Programming Model and Method for Industry Structure Optimization on Energy Conservation and GHG Emission Reduction in China
JO  - International Journal of Computational Intelligence Systems
SP  - 1311
EP  - 1322
VL  - 12
IS  - 2
SN  - 1875-6883
UR  - https://doi.org/10.2991/ijcis.d.191104.002
DO  - 10.2991/ijcis.d.191104.002
ID  - Lin2019
ER  -