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Optimization of the Beijing Economy-Energy-Emissions System 2021–2035: A Scenario Simulation Analysis Based on a System Dynamics Model

This paper constructs an Economy-Energy-Emissions (3E) System Dynamics Model using the megacity of Beijing, China, as an example, to estimate the effects of different policy scenarios (including three single-policy scenarios and four combined-policy scenarios) on the core variables of Beijing's...

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Autores principales: Zhu, Anfeng, Wang, Daojuan, Chen, Yinghan, Guo, Zhengquan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10358702/
https://www.ncbi.nlm.nih.gov/pubmed/35975589
http://dx.doi.org/10.1177/00368504221118231
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author Zhu, Anfeng
Wang, Daojuan
Chen, Yinghan
Guo, Zhengquan
author_facet Zhu, Anfeng
Wang, Daojuan
Chen, Yinghan
Guo, Zhengquan
author_sort Zhu, Anfeng
collection PubMed
description This paper constructs an Economy-Energy-Emissions (3E) System Dynamics Model using the megacity of Beijing, China, as an example, to estimate the effects of different policy scenarios (including three single-policy scenarios and four combined-policy scenarios) on the core variables of Beijing's 3E system from 2021 to 2035. The results suggest two main points. (1) Following the current development trend, the proportion of the GDP represented by the added value of advanced high-precision industries (Gao Jing Jian in Chinese) will only be 43% in 2035, implying a limited role in promoting economic growth. Despite effective control of total energy consumption, fossil energy's share of total consumption will reach 57% by 2035, hindering the process of making the energy consumption structure cleaner and leading to failure to achieve the targeted inflection point in CO(2) emissions by 2025. PM(2.5) control shows some successful results and will decrease to 19 μg/m(3) in 2035. However, a gap compared to other world-class cities remains. (2) The implementation of a single policy for either industrial structure optimization, energy structure transformation, or emissions control cannot simultaneously meet the goal of high-quality coordinated development of Beijing's 3E system, whereas the comprehensive implementation of policies in all three dimensions is demonstrably effective.
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spelling pubmed-103587022023-08-09 Optimization of the Beijing Economy-Energy-Emissions System 2021–2035: A Scenario Simulation Analysis Based on a System Dynamics Model Zhu, Anfeng Wang, Daojuan Chen, Yinghan Guo, Zhengquan Sci Prog Low-carbon generation for the restoration of our ecosystems: technology, strategy, and policy This paper constructs an Economy-Energy-Emissions (3E) System Dynamics Model using the megacity of Beijing, China, as an example, to estimate the effects of different policy scenarios (including three single-policy scenarios and four combined-policy scenarios) on the core variables of Beijing's 3E system from 2021 to 2035. The results suggest two main points. (1) Following the current development trend, the proportion of the GDP represented by the added value of advanced high-precision industries (Gao Jing Jian in Chinese) will only be 43% in 2035, implying a limited role in promoting economic growth. Despite effective control of total energy consumption, fossil energy's share of total consumption will reach 57% by 2035, hindering the process of making the energy consumption structure cleaner and leading to failure to achieve the targeted inflection point in CO(2) emissions by 2025. PM(2.5) control shows some successful results and will decrease to 19 μg/m(3) in 2035. However, a gap compared to other world-class cities remains. (2) The implementation of a single policy for either industrial structure optimization, energy structure transformation, or emissions control cannot simultaneously meet the goal of high-quality coordinated development of Beijing's 3E system, whereas the comprehensive implementation of policies in all three dimensions is demonstrably effective. SAGE Publications 2022-08-17 /pmc/articles/PMC10358702/ /pubmed/35975589 http://dx.doi.org/10.1177/00368504221118231 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by-nc/4.0/This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Low-carbon generation for the restoration of our ecosystems: technology, strategy, and policy
Zhu, Anfeng
Wang, Daojuan
Chen, Yinghan
Guo, Zhengquan
Optimization of the Beijing Economy-Energy-Emissions System 2021–2035: A Scenario Simulation Analysis Based on a System Dynamics Model
title Optimization of the Beijing Economy-Energy-Emissions System 2021–2035: A Scenario Simulation Analysis Based on a System Dynamics Model
title_full Optimization of the Beijing Economy-Energy-Emissions System 2021–2035: A Scenario Simulation Analysis Based on a System Dynamics Model
title_fullStr Optimization of the Beijing Economy-Energy-Emissions System 2021–2035: A Scenario Simulation Analysis Based on a System Dynamics Model
title_full_unstemmed Optimization of the Beijing Economy-Energy-Emissions System 2021–2035: A Scenario Simulation Analysis Based on a System Dynamics Model
title_short Optimization of the Beijing Economy-Energy-Emissions System 2021–2035: A Scenario Simulation Analysis Based on a System Dynamics Model
title_sort optimization of the beijing economy-energy-emissions system 2021–2035: a scenario simulation analysis based on a system dynamics model
topic Low-carbon generation for the restoration of our ecosystems: technology, strategy, and policy
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10358702/
https://www.ncbi.nlm.nih.gov/pubmed/35975589
http://dx.doi.org/10.1177/00368504221118231
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