Spatial correlation among cultivated land intensive use and carbon emission efficiency: A case study in the Yellow River Basin, China DOI
Xiao Zhou,

Juan Yu,

Jiangfeng Li

et al.

Environmental Science and Pollution Research, Journal Year: 2022, Volume and Issue: 29(28), P. 43341 - 43360

Published: Jan. 30, 2022

Language: Английский

Exploring the eco-efficiency of cultivated land utilization and its influencing factors in China's Yangtze River Economic Belt, 2001–2018 DOI
Bin Yang, Zhanqi Wang, Lei Zou

et al.

Journal of Environmental Management, Journal Year: 2021, Volume and Issue: 294, P. 112939 - 112939

Published: June 8, 2021

Language: Английский

Citations

152

Exploring the impact of urban form on urban land use efficiency under low-carbon emission constraints: A case study in China's Yellow River Basin DOI

Hui Wu,

Shiming Fang, Can Zhang

et al.

Journal of Environmental Management, Journal Year: 2022, Volume and Issue: 311, P. 114866 - 114866

Published: March 11, 2022

Language: Английский

Citations

125

The impact of land resource mismatch and land marketization on pollution emissions of industrial enterprises in China DOI

Weijian Du,

Mengjie Li

Journal of Environmental Management, Journal Year: 2021, Volume and Issue: 299, P. 113565 - 113565

Published: Aug. 19, 2021

Language: Английский

Citations

124

Spatial correlation evolution and prediction scenario of land use carbon emissions in China DOI Creative Commons

Tianqi Rong,

Pengyan Zhang,

Huiru Zhu

et al.

Ecological Informatics, Journal Year: 2022, Volume and Issue: 71, P. 101802 - 101802

Published: Sept. 5, 2022

Carbon dioxide emissions are the main drivers of global warming and extreme weather disasters caused by have posed a threat to sustainable development even human survival. Land use has an important impact on carbon storage. This study quantified land emissions, constructed emission grid, simulated future patterns under different scenarios in China during 2000–2018. were found increase 400.29% this period higher northeast. We discerned obvious spatial correlations between various provinces thus, recommended stronger inter-provincial cooperation achieve overall reduction country. The correlation network revealed that regions with superior economic geographical location center network. Compared 2018, natural scenario ecological protection indicated China's decreased 2030. Thus, results indicate individual provincial governance mode overlooked across provinces, due which these not effectively reduced. highlighted importance protection, is significant for promoting use, increasing sink, reducing emissions.

Language: Английский

Citations

114

Land-use carbon emissions and built environment characteristics: A city-level quantitative analysis in emerging economies DOI
Yifu Ou, Zhikang Bao, S. Thomas Ng

et al.

Land Use Policy, Journal Year: 2023, Volume and Issue: 137, P. 107019 - 107019

Published: Dec. 9, 2023

Language: Английский

Citations

48

Spatiotemporal evolution characteristics, influencing factors of land use carbon emissions, and low-carbon development in Hubei Province, China DOI Creative Commons

Mengjiao Fan,

Zhanqi Wang,

Zhibin Xue

et al.

Ecological Informatics, Journal Year: 2024, Volume and Issue: 81, P. 102567 - 102567

Published: March 20, 2024

Against the backdrop of global warming, carbon emissions have become a major concern. Carbon from land use (CELU) play significant role in shaping efforts to reduce and achieve neutrality. Using China Land Cover Dataset (CLCD) alongside socioeconomic data, we conducted comprehensive CELU calculations for Hubei Province. Our approach involves integrating Markov time transfer matrix delineate spatiotemporal evolution characteristics CELU, employing Tapio elastic adaptation model analyze decoupling economic development, leveraging geographic detectors identify primary influencing factors their interactions, both internally externally. Subsequently, formulated recommendations low-carbon development response our findings. The key results are as follows. (1) Between 1995 2019, total Province exhibited consistent increase, characterized by an initial acceleration growth followed gradual slowdown. (2) During same period, witnessed multiple types decoupling, with weak emerging prevailing trend. (3) explanatory power (q-values) internal external ranged 0.179 0.935. Moreover, interaction these exceeded 0.5, indicating overall effect. This study presents strategy that offers robust scientific basis government policymakers craft emission reduction strategies. Additionally, it serves valuable reference fostering long-term high-quality development.

Language: Английский

Citations

22

Spatio-temporal impacts of land use change on water-energy-food nexus carbon emissions in China, 2011–2020 DOI
Wenbin Li, Youjia Liang, Lijun Liu

et al.

Environmental Impact Assessment Review, Journal Year: 2024, Volume and Issue: 105, P. 107436 - 107436

Published: Jan. 31, 2024

Language: Английский

Citations

21

Spatiotemporal evolution and multi-scale coupling effects of land-use carbon emissions and ecological environmental quality DOI
Xinmin Zhang, Houbao Fan, Hao Hou

et al.

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 922, P. 171149 - 171149

Published: Feb. 24, 2024

Language: Английский

Citations

21

Spatiotemporal differentiation of carbon budget and balance zoning: Insights from the middle reaches of the Yangtze River Urban Agglomeration, China DOI
Zhengyu Zhang, Gui Jin

Applied Geography, Journal Year: 2024, Volume and Issue: 167, P. 103293 - 103293

Published: May 12, 2024

Language: Английский

Citations

18

Change in land-use structure due to urbanisation in China DOI
Wanxu Chen, Jie Zeng, Na Li

et al.

Journal of Cleaner Production, Journal Year: 2021, Volume and Issue: 321, P. 128986 - 128986

Published: Sept. 10, 2021

Language: Английский

Citations

97