Spatial correlation network structure of carbon emission reduction capacity on urban agglomerations and its driving factors
A perspective of Sustainable Development Goals
Bibliographic Data
| ID | 21231379 |
|---|---|
| Authors | Yi Yang (0000-0002-9729-8522, Xi'an University of Technology, corresponding author), Xiaoyuan Su (Xi'an University of Technology) |
| Year | 2024 |
| Volume | 113 |
| Pages | 105646 |
| Publication date | 2024-10-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Sustainable Cities and Society (JOURNAL) |
| Journal identifiers | ISSN: 2210-6707 • E-ISSN: 2210-6715 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.scs.2024.105646 |
| OpenAlex | W4400402184 |
| Language | EN |
| Citations received | 20 |
| References cited | 55 |
Sustainable Development Goal 7 and Goal 13 are important for evaluating carbon emission reduction capacity in urban agglomerations. Exploring the spatial correlation network structures of carbon emission reduction capacity can help synergize carbon reduction actions between cities. Existing research regarding the urban agglomerations to address carbon emission reduction goals has neglected both coordination with Sustainable Development Goals and the impact of spatial correlation network structures. Based on Sustainable Development Goals, an evaluation system of carbon emission reduction capacity is constructed. The characteristics of spatial correlation network structure for carbon emission reduction capacity are described using the social network analysis method. Its driving factors are described using the quadratic assignment procedure method. The Guanzhong Plain urban agglomeration in China is used for validation. The spatial distribution of carbon emission reduction capacity in urban agglomerations is significantly unbalanced, and the spatial correlation network structure follows a stable core-edge pattern. Factors such as differences in technological level, economic level affect the formation of the spatial correlation, but the differences in urbanization level have no significant impact. Countermeasures are proposed to provide a scientific basis for the collaborative management of carbon emission reduction in urban agglomerations
Economic geography · Geography · Geometry · Political science · Regional science · Spatial correlation · Sustainable development · Telecommunications · Urban agglomeration · Air Quality and Health Impacts · Energy, Environment, Economic Growth · Engineering · Mathematics · Urban Transport and Accessibility
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| Unique citing works | 20 |
|---|---|
| Citations per year | 20 |
| Citation span | 2025 - 2026 (2) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 20 |