Dynamic Interactions of Urban Land Use Efficiency, Industrial Structure, and Carbon Emissions Intensity in Chinese Cities: A Panel Vector Autoregression (PVAR) Approach
Climatic and environmental issues have attracted considerable attention worldwide. Clarifying the interactions between urban land use efficiency (ULUE), industrial structure (IS), and carbon emissions intensity (CEI) is of considerable importance in promoting resource–economy–environment coordinatio...
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MDPI AG
2024-12-01
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| Series: | Land |
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| Online Access: | https://www.mdpi.com/2073-445X/14/1/57 |
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| author | Guihong Yang Xuxi Wang Li Peng Xinyue Zhang |
| author_facet | Guihong Yang Xuxi Wang Li Peng Xinyue Zhang |
| author_sort | Guihong Yang |
| collection | DOAJ |
| description | Climatic and environmental issues have attracted considerable attention worldwide. Clarifying the interactions between urban land use efficiency (ULUE), industrial structure (IS), and carbon emissions intensity (CEI) is of considerable importance in promoting resource–economy–environment coordination. The temporal and spatial characteristics of ULUE, IS, and CEI were analyzed based on panel data from 309 cities in China from 2006 to 2021. A PVAR model was established to analyze the long-term and short-term dynamic and causal relationships among the three variables. ULUE, IS, and CEI showed an upward trend, but significant spatial heterogeneity existed. The three variables had a long-term cointegration relationship. Overall, ULUE had a positive effect on IS, and IS had a promotional effect on ULUE. ULUE and IS had bidirectional inhibitory effects on CEI. This indicates that improving ULUE, upgrading IS, improving energy efficiency, and reducing CEI may be necessary measures to mitigate the environmental impact of human activities. These research results can provide theoretical and policy support for promoting the coordination of resources, the economy, and the environment, and for achieving the promotion of urban high-quality green and sustainable development. |
| format | Article |
| id | doaj-art-8cdf72d8da344e41af03aca539fa52f6 |
| institution | Kabale University |
| issn | 2073-445X |
| language | English |
| publishDate | 2024-12-01 |
| publisher | MDPI AG |
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| series | Land |
| spelling | doaj-art-8cdf72d8da344e41af03aca539fa52f62025-01-24T13:37:43ZengMDPI AGLand2073-445X2024-12-011415710.3390/land14010057Dynamic Interactions of Urban Land Use Efficiency, Industrial Structure, and Carbon Emissions Intensity in Chinese Cities: A Panel Vector Autoregression (PVAR) ApproachGuihong Yang0Xuxi Wang1Li Peng2Xinyue Zhang3College of Geography and Resources, Sichuan Normal University, Chengdu 610101, ChinaSichuan Institute of Urban and Rural Construction, Chengdu 610000, ChinaCollege of Geography and Resources, Sichuan Normal University, Chengdu 610101, ChinaCollege of Geography and Resources, Sichuan Normal University, Chengdu 610101, ChinaClimatic and environmental issues have attracted considerable attention worldwide. Clarifying the interactions between urban land use efficiency (ULUE), industrial structure (IS), and carbon emissions intensity (CEI) is of considerable importance in promoting resource–economy–environment coordination. The temporal and spatial characteristics of ULUE, IS, and CEI were analyzed based on panel data from 309 cities in China from 2006 to 2021. A PVAR model was established to analyze the long-term and short-term dynamic and causal relationships among the three variables. ULUE, IS, and CEI showed an upward trend, but significant spatial heterogeneity existed. The three variables had a long-term cointegration relationship. Overall, ULUE had a positive effect on IS, and IS had a promotional effect on ULUE. ULUE and IS had bidirectional inhibitory effects on CEI. This indicates that improving ULUE, upgrading IS, improving energy efficiency, and reducing CEI may be necessary measures to mitigate the environmental impact of human activities. These research results can provide theoretical and policy support for promoting the coordination of resources, the economy, and the environment, and for achieving the promotion of urban high-quality green and sustainable development.https://www.mdpi.com/2073-445X/14/1/57urban land use efficiencyindustrial structurecarbon emissions intensitypanel vector autoregressionChina |
| spellingShingle | Guihong Yang Xuxi Wang Li Peng Xinyue Zhang Dynamic Interactions of Urban Land Use Efficiency, Industrial Structure, and Carbon Emissions Intensity in Chinese Cities: A Panel Vector Autoregression (PVAR) Approach Land urban land use efficiency industrial structure carbon emissions intensity panel vector autoregression China |
| title | Dynamic Interactions of Urban Land Use Efficiency, Industrial Structure, and Carbon Emissions Intensity in Chinese Cities: A Panel Vector Autoregression (PVAR) Approach |
| title_full | Dynamic Interactions of Urban Land Use Efficiency, Industrial Structure, and Carbon Emissions Intensity in Chinese Cities: A Panel Vector Autoregression (PVAR) Approach |
| title_fullStr | Dynamic Interactions of Urban Land Use Efficiency, Industrial Structure, and Carbon Emissions Intensity in Chinese Cities: A Panel Vector Autoregression (PVAR) Approach |
| title_full_unstemmed | Dynamic Interactions of Urban Land Use Efficiency, Industrial Structure, and Carbon Emissions Intensity in Chinese Cities: A Panel Vector Autoregression (PVAR) Approach |
| title_short | Dynamic Interactions of Urban Land Use Efficiency, Industrial Structure, and Carbon Emissions Intensity in Chinese Cities: A Panel Vector Autoregression (PVAR) Approach |
| title_sort | dynamic interactions of urban land use efficiency industrial structure and carbon emissions intensity in chinese cities a panel vector autoregression pvar approach |
| topic | urban land use efficiency industrial structure carbon emissions intensity panel vector autoregression China |
| url | https://www.mdpi.com/2073-445X/14/1/57 |
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