Research on the spatiotemporal evolution characteristics and driving factors of the spatial connection network of carbon emissions in China: New evidence from 260 cities-Reference-Cited by-同舟云学术

Research on the spatiotemporal evolution characteristics and driving factors of the spatial connection network of carbon emissions in China: New evidence from 260 cities

Published:2024-03 Issue: Volume:291 Page:130448
ISSN:0360-5442
Container-title:Energy
language:en
Short-container-title:Energy

Author:

Wang Longke,Zhang Ming,Song Yan

Funder

Fundamental Research Funds for the Central Universities

Publisher

Elsevier BV

Reference53 articles.

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2. Blue sky defense in low-carbon pilot cities: a spatial spillover perspective of carbon emission efficiency;Du;Sci Total Environ,2022

3. Correlating CO2 emissions of cities with the inter-city carbon compensation mechanism: a regional perspective in the Middle Reaches of the Yangtze River (MRYR), China;Li;Environ Dev Sustain,2023

4. Toward low-carbon development: assessing emissions-reduction pressure among Chinese cities;Cheng;J Environ Manag,2020

5. Towards COP26 targets: characteristics and influencing factors of spatial correlation network structure on U.S. carbon emission;Wang;Resour Pol,2023

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1. Study on carbon emission characteristics and its influencing factors of energy consumption in Sichuan Province, China;Frontiers in Environmental Science;2024-07-22

2. Structural Characteristics and Influencing Factors of Carbon Emission Spatial Association Network: A Case Study of Yangtze River Delta City Cluster, China;Chinese Geographical Science;2024-05-18

3. Analysis of the Driving Mechanism of Urban Carbon Emission Correlation Network in Shandong Province Based on TERGM;Sustainability;2024-05-17

4. Analysis of the Spatial Correlation Network and Driving Mechanism of China’s Transportation Carbon Emission Intensity;Sustainability;2024-04-08