The Pathway to China's Carbon Neutrality Based on an Endogenous Technology CGE Model.

carbon neutral carbon tax carbon trading computable general equilibrium analysis economic development endogenous technological progress

Journal

International journal of environmental research and public health
ISSN: 1660-4601
Titre abrégé: Int J Environ Res Public Health
Pays: Switzerland
ID NLM: 101238455

Informations de publication

Date de publication:
20 05 2022
Historique:
received: 26 03 2022
revised: 17 05 2022
accepted: 18 05 2022
entrez: 28 5 2022
pubmed: 29 5 2022
medline: 1 6 2022
Statut: epublish

Résumé

Global warming resulting from greenhouse gas emissions has been a worldwide issue facing humanity. Simultaneously, governments have the challenging task of striking a judicious balance between increased economic growth and decreased carbon emissions. Based on the energy-environment-economy triple coupling (3E-CGE) model, we endogenously integrate climate-friendly technologies into the model's analysis framework through logic curves and refine and modify the CGE model's energy use and carbon emission modules. We conduct a scenario simulation and sensitivity analysis on carbon tax, carbon-trading, and climate-friendly technological progress, respectively. The results reveal that carbon tax and carbon trading contribute to reducing carbon emissions in the short-term but achieving the goals of peak carbon and carbon neutrality will cause the collapse of the economic system. In the long-term, climate-friendly technologies are key to achieving the dual carbon goal; the development of such technologies can also stimulate economic development. The best path for China to achieve its dual carbon goals and economic development in the next 40 years involves effectively combining the carbon tax, carbon trading, and a climate-friendly technological progress. Specifically, China can begin trading carbon in high-emissions industries then impose industry-wide carbon taxes.

Identifiants

pubmed: 35627787
pii: ijerph19106251
doi: 10.3390/ijerph19106251
pmc: PMC9141939
pii:
doi:

Substances chimiques

Greenhouse Gases 0
Carbon 7440-44-0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Références

J Environ Manage. 2020 Sep 15;270:110901
pubmed: 32721336
Technol Forecast Soc Change. 2020 Sep;158:120178
pubmed: 32834135

Auteurs

Shuang Liang (S)

School of Economics and Resource Management, Beijing Normal University, Beijing 100875, China.
Center for Innovation and Development Studies, Beijing Normal University, Zhuhai 519087, China.

Xinyue Lin (X)

School of Economics and Resource Management, Beijing Normal University, Beijing 100875, China.
Center for Innovation and Development Studies, Beijing Normal University, Zhuhai 519087, China.

Xiaoxue Liu (X)

School of Economics, Beijing Technology and Business University, Beijing 100048, China.

Haoran Pan (H)

School of Economics and Resource Management, Beijing Normal University, Beijing 100875, China.
Center for Innovation and Development Studies, Beijing Normal University, Zhuhai 519087, China.

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Classifications MeSH