Analysis of the Characteristics and Driving Mechanisms of Carbon Emission Decoupling in the Hu-Bao-O-Yu City Cluster under the “Double Carbon” Target DOI Open Access

Mengting Zhou,

Jingran Yang,

Xuanwei Ning

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(17), P. 7290 - 7290

Published: Aug. 24, 2024

The Hu-Bao-O-Yu urban area is a major source of carbon emissions in China. It also energy exports and high-end chemicals Reaching peak early especially important for meeting the national goal. For areas that rely on natural resources, we need to make it clearer how economic growth affect each other slowly break strong link between two. Therefore, this paper, based data emissions, decoupling state driving mechanism City group are researched by using Tapio model GDIM method. A new index constructed combining traditional model. main findings as follows: (1) agglomeration, Ordos City, Baotou Yulin have significant trends annual with being most agglomeration its contribution whole efficient. (2) Hu-Bao-O-Yu, Huhhot dominated expansionary negative decoupling, whereas has decoupling. (3) cluster mainly affects intensity fixed asset investments output intensity, which key part separation process. scale structure play process over time. (4) Changes GDP per capita bigger changes agglomeration. These determine direction In future, needs coordinate growth. speed up optimisation transformation their structures. push low-carbon industries. do more research sequestration technology spend environmental protection. This will resource-saving improve ability reduce emissions.

Language: Английский

Spatiotemporal heterogeneity of the influence of industrial linkage on building carbon emission DOI

Weimin Xiang,

Ting Liu, Lei Gan

et al.

Journal of Building Engineering, Journal Year: 2025, Volume and Issue: 100, P. 111772 - 111772

Published: Jan. 5, 2025

Language: Английский

Citations

1

Research on the Carbon Emission Reduction Effect of the Dual Pilot Policy of Low-Carbon Cities and New Energy Demonstration Cities DOI Open Access
Y. Li,

Jingjing Zhang

Sustainability, Journal Year: 2024, Volume and Issue: 16(21), P. 9572 - 9572

Published: Nov. 3, 2024

Achieving the “double carbon” goal and optimizing energy structure necessitates strategic deployments such as low-carbon cities (LCCs) new demonstration (NEDCs). Prior research has primarily examined effectiveness of these two policies when implemented independently. Despite overlapping scopes, there remains a need for definitive conclusion regarding whether concurrent implementation will yield synergistic effect, thereby further reducing carbon emissions. Employing panel data spanning 2007–2021 from 280 Chinese cities, this study investigates emission reduction (CER) effect dual pilot policy (DPP), focusing specifically on LCCs NEDCs through multi-period difference-in-differences (DID) analysis. The findings reveal significant between CER, with sequence playing crucial role in determining CER. Notably, first become subsequently transition into LCCs, demonstrating more pronounced CER effect. Further analysis impact mechanism underscores that DPP fosters urban by elevating inventive improved green technology innovation. Among these, contribution innovation is particularly prominent, accounting much 24%, far surpassing 20% A heterogeneity indicates DPP’s western non-resource-based cities. Given China’s status one world’s foremost emitters, exploring pathways holds profound practical significance offers invaluable empirical insights advancing global efforts.

Language: Английский

Citations

3

Analysis of the Characteristics and Driving Mechanisms of Carbon Emission Decoupling in the Hu-Bao-O-Yu City Cluster under the “Double Carbon” Target DOI Open Access

Mengting Zhou,

Jingran Yang,

Xuanwei Ning

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(17), P. 7290 - 7290

Published: Aug. 24, 2024

The Hu-Bao-O-Yu urban area is a major source of carbon emissions in China. It also energy exports and high-end chemicals Reaching peak early especially important for meeting the national goal. For areas that rely on natural resources, we need to make it clearer how economic growth affect each other slowly break strong link between two. Therefore, this paper, based data emissions, decoupling state driving mechanism City group are researched by using Tapio model GDIM method. A new index constructed combining traditional model. main findings as follows: (1) agglomeration, Ordos City, Baotou Yulin have significant trends annual with being most agglomeration its contribution whole efficient. (2) Hu-Bao-O-Yu, Huhhot dominated expansionary negative decoupling, whereas has decoupling. (3) cluster mainly affects intensity fixed asset investments output intensity, which key part separation process. scale structure play process over time. (4) Changes GDP per capita bigger changes agglomeration. These determine direction In future, needs coordinate growth. speed up optimisation transformation their structures. push low-carbon industries. do more research sequestration technology spend environmental protection. This will resource-saving improve ability reduce emissions.

Language: Английский

Citations

0