ArticleInternational journal of environmental research and public health2022
A Heterogeneity Study of Carbon Emissions Driving Factors in Beijing-Tianjin-Hebei Region, China, Based on PGTWR Model.
Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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6 citing papers in PubMed.
- Revealing the network structure characteristics and driving factors of carbon-emission spillovers in the greater bay area of China: a coupled multi-scenario analytical framework.Carbon balance and management · 2026Article
- Carbon reduction strategies for logistics based on emission prediction under multi-scenarios in coastal developed region.Carbon balance and management · 2025Article
- Investigating spatio-temporal variations and contributing factors of land use-related carbon emissions in the Beijing-Tianjin-Hebei Region, China.Scientific reports · 2024Article
- Efficiency and Potential Evaluation to Promote Differentiated Low-Carbon Management in Chinese Counties.International journal of environmental research and public health · 2023Article
- Spatiotemporal Evolution of Carbon Emissions According to Major Function-Oriented Zones: A Case Study of Guangdong Province, China.International journal of environmental research and public health · 2023Article
- The Impact Relationships between Scientific and Technological Innovation, Industrial Structure Advancement and Carbon Footprints in China Based on the PVAR Model.International journal of environmental research and public health · 2022Article
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6 authors.
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Abstract
The Beijing-Tianjin-Hebei region is an important economic growth pole in China and achieving carbon emission reduction in the region is of great practical significance. Studying the heterogeneity of the influencing factors of carbon emission in this region contributes to formulating targeted regional carbon emission reduction policies. Therefore, this paper adopted thirteen cities as individuals of cross-section and conducted spatial and temporal heterogeneity analysis of the influencing factors of converted carbon emissions in the region with panel data from 2013 to 2018 based on the PGTWR model. From a space-time perspective, the regression coefficient of each influencing factor in this region has obvious heterogeneity, which is mainly reflected in the time dimension. In the study period, the impact of industrial structure, the level of urbanization, energy intensity, and the level of economic growth on carbon emission showed a decline curve, while the impact of the level of opening up and the size of population was on the rise, indicating that more attention should be paid to the latter two factors for the time to come. In terms of space, the differences in the influence of industrial structure and energy intensity on carbon emission vary significantly.
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