Further mitigating carbon footprint pressure in urban agglomeration by enhancing the spatial clustering

Liang，Dongzhe1,2; Lu，Hongwei2; Guan，Yanlong3; Feng，Liyang4; Chen，Yizhong5; He，Li4

2023-01-15

10.1016/j.jenvman.2022.116715

JOURNAL OF ENVIRONMENTAL MANAGEMENT   Impact Factor & Quartile

0301-4797

1095-8630

The increasing environmental pressure of anthropogenic CO emissions is impeding the sustainability of urban agglomerations (UAs). Recent research has shown that the spatial clustering of UA elements reduces CO emissions but underestimates its impact on vegetation carbon sequestration. Using an extended IPAT equation analysis framework and the Logarithmic Mean Divisia Index decomposition approach, this study revealed the positive effects of the economy and population spatial clustering on carbon footprint pressure (CFP) mitigation. Specifically, improving economic spatial clustering mitigated the rise in UA's CFP caused by affluence and population growth. Furthermore, population clustering in core cities effectively mitigated CFP in neighboring cities. Additionally, we found that the efficiency improvement, i.e., the decrease in the ratio of carbon emissions and gross domestic product, should be the dominant driver of CFP mitigation, followed by improved vegetation carbon sequestration. However, these drivers have limited future potential. We believe that by improving UA's spatial clustering of the economy and population, future urban environmental pressures and climate risks will be mitigated.

Carbon footprint pressure Decoupling analysis Drivers Spatial clustering Urban agglomeration

SCI

English

Others

National Key Research and Development Program of China[2019YFC0507801];National Natural Science Foundation of China[41890824];Chinese Academy of Sciences[JCTD-2019-04];

Environmental Sciences & Ecology

Environmental Sciences

WOS:000889841800007

ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD

ENVIRONMENT/ECOLOGY

2-s2.0-85142206168

Scopus

1.School of Water Conservancy and Hydropower Engineering,North China Electric Power University,Beijing,102206,China
2.Key Laboratory of Water Cycle and Related Land Surface Processes,Institute of Geographic Science and Natural Resources Research,Chinese Academy of Sciences,Beijing,100101,China
3.School of Environmental Science and Engineering,Southern University of Science and Technology,Shenzhen,518055,China
4.State Key Laboratory of Hydraulic Engineering Simulation and Safety,Tianjin University,Tianjin,300392,China
5.School of Economics and Management,Hebei University of Technology,Tianjin,300401,China

Liang，Dongzhe,Lu，Hongwei,Guan，Yanlong,et al. Further mitigating carbon footprint pressure in urban agglomeration by enhancing the spatial clustering[J]. JOURNAL OF ENVIRONMENTAL MANAGEMENT,2023,326.

Liang，Dongzhe,Lu，Hongwei,Guan，Yanlong,Feng，Liyang,Chen，Yizhong,&He，Li.(2023).Further mitigating carbon footprint pressure in urban agglomeration by enhancing the spatial clustering.JOURNAL OF ENVIRONMENTAL MANAGEMENT,326.

Liang，Dongzhe,et al."Further mitigating carbon footprint pressure in urban agglomeration by enhancing the spatial clustering".JOURNAL OF ENVIRONMENTAL MANAGEMENT 326(2023).