Author
Listed:
- Dinghua Ou
(College of Resources, Sichuan Agricultural University, Chengdu 611130, China
Key Laboratory of Investigation, Monitoring, Protection and Utilization of Cropland Resources, Ministry of Natural Resources, Chengdu 611130, China
Observation and Research Station of Land Ecology and Land Use in Chengdu Plain, Ministry of Natural Resources, Chengdu 610045, China)
- Jiayi Wu
(College of Resources, Sichuan Agricultural University, Chengdu 611130, China)
- Qingyan Huang
(College of Resources, Sichuan Agricultural University, Chengdu 611130, China)
- Chang Shu
(College of Resources, Sichuan Agricultural University, Chengdu 611130, China)
- Tianyi Xie
(College of Resources, Sichuan Agricultural University, Chengdu 611130, China)
- Chunxin Luo
(College of Resources, Sichuan Agricultural University, Chengdu 611130, China)
- Meng Zhao
(Faculty of Public Administration, Sichuan Agricultural University, Yaan 625014, China)
- Jiani Zhang
(College of Resources, Sichuan Agricultural University, Chengdu 611130, China)
- Jianbo Fei
(College of Resources, Sichuan Agricultural University, Chengdu 611130, China
Key Laboratory of Investigation, Monitoring, Protection and Utilization of Cropland Resources, Ministry of Natural Resources, Chengdu 611130, China)
Abstract
County-level administrative areas serve as fundamental components in China’s territorial spatial governance, and the precision and consistency of their carbon emission reduction policies are directly linked to the efficacy of the “dual-carbon” strategy’s execution. However, the spatiotemporal evolution characteristics, future trends, and driving factors of carbon emissions from territorial spatial function (TSF) utilisation at the county level remain unclear, posing a fundamental theoretical issue that local governments urgently need to address when formulating carbon reduction policies. This study developed a framework to simulate the spatial distribution of carbon emissions resulting from land use at the county level. It simulated the carbon emissions in Qionglai City from 2009 to 2023, analysed the spatial-temporal evolution characteristics and future trends using global Moran’s I, the Getis-Ord
Suggested Citation
Dinghua Ou & Jiayi Wu & Qingyan Huang & Chang Shu & Tianyi Xie & Chunxin Luo & Meng Zhao & Jiani Zhang & Jianbo Fei, 2025.
"Spatiotemporal Continuity and Spatially Heterogeneous Drivers in the Historical Evolution of County-Scale Carbon Emissions from Territorial Function Utilisation in China: Evidence from Qionglai City,"
Land, MDPI, vol. 14(10), pages 1-37, October.
Handle:
RePEc:gam:jlands:v:14:y:2025:i:10:p:1981-:d:1762974
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