Is the metabolic efficiency of smart cities higher? Evidence from China
Bibliographic Data
| ID | 21600501 |
|---|---|
| Authors | Bin Liao (0000-0002-7663-6406, Xiangtan University), Lin Li (0000-0003-2896-7988, Hunan University), Cai Hong Tian (Hunan University, corresponding author) |
| Year | 2025 |
| Volume | 68 |
| Issue | 14 |
| Pages | 3464-3486 |
| Publication date | 2025-12-06 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Journal of Environmental Planning and Management (JOURNAL) |
| Journal identifiers | ISSN: 0964-0568 • E-ISSN: 1360-0559 |
| Publisher | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/09640568.2024.2351433 |
| OpenAlex | W4399092166 |
| Language | EN |
| References cited | 76 |
Comprehending how smart city construction (SCM) affects urban metabolic efficiency (UME) is crucial to comprehensively assessing the policy performance of SCM. This study evaluates how SCM affects UME through a double-difference-in-differences (DID) model according to panel data collected between 2004 and 2021 from 284 Chinese cities. It is found that SCM can promote UME, and this effect increases yearly. Meanwhile, the impact of SCM on UME has spillover effects, spatial decay boundaries and heterogeneity characteristics. Moreover, SCM promotes UME through technological innovation effect (TIE), industrial upgrading effect (IUE), energy saving effect (ESE) and spatial structure effect (SSE). Results from the above contribute to better understanding of the impacts of SCM policies and offer recommendations for emerging nations that wish to improve their UME. The SCM policy ought to be further promoted by the Chinese government
Business · China · Economic geography · Economics · Environmental economics · Geography · Natural resource economics · Smart Cities and Technologies · Smart Grid Energy Management · Sustainability and Ecological Systems Analysis
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| Citation velocity | historical |
|---|---|
| Highly cited | No |