Evidence map›Paper›PMID 36901258›Full record

ArticleInternational journal of environmental research and public health2023

Analysis of Carbon Emission Projections and Reduction Potential of Resource-Dependent Urban Agglomerations from the Perspective of Multiple Scenarios-A Case Study of Hu-Bao-O-Yu Urban Agglomeration.

Xuanwei Ning, Yushuang He, Jiayi Zhang, Chengliang Wu, Yang Zhang

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Article in International journal of environmental research and public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

5 authors.

Xuanwei NingSchool of Economics and Management, Beijing Forestry University, Beijing 100083, China.ORCID 0000-0002-6546-8048
Yushuang HeSchool of Economics and Management, Beijing Forestry University, Beijing 100083, China.
Jiayi ZhangSchool of Economics and Management, Beijing Forestry University, Beijing 100083, China.
Chengliang WuSchool of Economics and Management, Beijing Forestry University, Beijing 100083, China.
Yang ZhangSchool of Economics and Management, Beijing Forestry University, Beijing 100083, China.

Funding

National Natural Science Foundation of China 71573019
6 · The paper itself

Abstract

The Hu-Bao-O-Yu urban agglomeration is an important energy exporting and high-end chemical base in China, and is an important source of carbon emissions in China. The early achievement of peak carbon emissions in this region is particularly crucial to achieving the national carbon emission reduction targets. However, there is a lack of multi-factor system dynamics analysis of resource-dependent urban agglomerations in Northwest China, as most studies have focused on single or static aspects of developed urban agglomerations. This paper analyses the relationship between carbon emissions and their influencing factors, constructs a carbon emission system dynamics model for the Hu-Bao-O-Yu urban agglomeration, and sets up different single regulation and comprehensive regulation scenarios to simulate and predict the carbon peak time, peak value, and emission reduction potential of each city and urban agglomeration under different scenarios. The results show that: (1) Hohhot and Baotou are expected to reach peak carbon by 2033 and 2031 respectively, under the baseline scenario, while other regions and the urban agglomeration will not be able to reach peak carbon by 2035. (2) Under single regulation scenarios, the effect of factors other than the energy consumption varies across cities, but the energy consumption and environmental protection input are the main factors affecting carbon emissions in the urban agglomeration. (3) A combination of the economic growth, industrial structure, energy policy, environmental protection, and technology investment is the best measure to achieve carbon peaking and enhance the carbon emission reduction in each region as soon as possible. In the future, we need to coordinate the economic development, energy structure optimisation and transformation, low-carbon transformation of industry, strengthen research on carbon sequestration technology, and further increase the investment in environmental protection to make the Hu-Bao-O-Yu urban agglomeration a resource-saving urban agglomeration with an optimal emission reduction.

Indexed as

CarbonIndustryCarbon DioxideChinaCitiesEconomic DevelopmentCarbonCarbon Dioxidecarbon emission reductionpeak carbon dioxide emissionscenario predictionsystem dynamicsurban agglomeration

Identifiers

PMID36901258
PMCPMC10002106

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