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Does the Urban Agglomeration Policy Reduce Energy Intensity? Evidence from China
With the expansion of the scale of China’s economy and the acceleration of urbanization, energy consumption is increasing, and environmental degradation and other problems have arisen. In order to solve such prominent problems, China proposed the “carbon peak” and “carbon neutral” targets in 2020. A...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9690510/ https://www.ncbi.nlm.nih.gov/pubmed/36429482 http://dx.doi.org/10.3390/ijerph192214764 |
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author | Ding, Rui Zhou, Tao Yin, Jian Zhang, Yilin Shen, Siwei Fu, Jun Du, Linyu Du, Yiming Chen, Shihui |
author_facet | Ding, Rui Zhou, Tao Yin, Jian Zhang, Yilin Shen, Siwei Fu, Jun Du, Linyu Du, Yiming Chen, Shihui |
author_sort | Ding, Rui |
collection | PubMed |
description | With the expansion of the scale of China’s economy and the acceleration of urbanization, energy consumption is increasing, and environmental degradation and other problems have arisen. In order to solve such prominent problems, China proposed the “carbon peak” and “carbon neutral” targets in 2020. Although there are research conclusions about the impact of urbanization on energy intensity (EI), conclusions about the impact of the urban agglomeration policy (UAP) on EI are still unclear. Therefore, the article studies the impact of the urban agglomeration policy on EI in 279 prefecture-level cities by constructing a Difference-In-Differences (DID) model and mediating effect model. The results show that UAP has a significant effect on reducing EI, but their effects are different with the impact of urban heterogeneity, and the urban agglomeration policy of “Core” cities is less effective than those of “Edge” cities. From the perspective of the influencing mechanism, UAP takes green innovation capability as the intermediary variable to influence EI. The placebo test, PSM-DID regression, counterfactual test, and instrumental variable method all reflect the robustness of the research conclusions. Based on this, the paper puts forward some suggestions for urban agglomeration planning and green technology innovation. |
format | Online Article Text |
id | pubmed-9690510 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-96905102022-11-25 Does the Urban Agglomeration Policy Reduce Energy Intensity? Evidence from China Ding, Rui Zhou, Tao Yin, Jian Zhang, Yilin Shen, Siwei Fu, Jun Du, Linyu Du, Yiming Chen, Shihui Int J Environ Res Public Health Article With the expansion of the scale of China’s economy and the acceleration of urbanization, energy consumption is increasing, and environmental degradation and other problems have arisen. In order to solve such prominent problems, China proposed the “carbon peak” and “carbon neutral” targets in 2020. Although there are research conclusions about the impact of urbanization on energy intensity (EI), conclusions about the impact of the urban agglomeration policy (UAP) on EI are still unclear. Therefore, the article studies the impact of the urban agglomeration policy on EI in 279 prefecture-level cities by constructing a Difference-In-Differences (DID) model and mediating effect model. The results show that UAP has a significant effect on reducing EI, but their effects are different with the impact of urban heterogeneity, and the urban agglomeration policy of “Core” cities is less effective than those of “Edge” cities. From the perspective of the influencing mechanism, UAP takes green innovation capability as the intermediary variable to influence EI. The placebo test, PSM-DID regression, counterfactual test, and instrumental variable method all reflect the robustness of the research conclusions. Based on this, the paper puts forward some suggestions for urban agglomeration planning and green technology innovation. MDPI 2022-11-10 /pmc/articles/PMC9690510/ /pubmed/36429482 http://dx.doi.org/10.3390/ijerph192214764 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Ding, Rui Zhou, Tao Yin, Jian Zhang, Yilin Shen, Siwei Fu, Jun Du, Linyu Du, Yiming Chen, Shihui Does the Urban Agglomeration Policy Reduce Energy Intensity? Evidence from China |
title | Does the Urban Agglomeration Policy Reduce Energy Intensity? Evidence from China |
title_full | Does the Urban Agglomeration Policy Reduce Energy Intensity? Evidence from China |
title_fullStr | Does the Urban Agglomeration Policy Reduce Energy Intensity? Evidence from China |
title_full_unstemmed | Does the Urban Agglomeration Policy Reduce Energy Intensity? Evidence from China |
title_short | Does the Urban Agglomeration Policy Reduce Energy Intensity? Evidence from China |
title_sort | does the urban agglomeration policy reduce energy intensity? evidence from china |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9690510/ https://www.ncbi.nlm.nih.gov/pubmed/36429482 http://dx.doi.org/10.3390/ijerph192214764 |
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