Literature DB >> 35682231

A Heterogeneity Study of Carbon Emissions Driving Factors in Beijing-Tianjin-Hebei Region, China, Based on PGTWR Model.

Ting Lou1,2, Jianhui Ma1,2,3, Yu Liu1,2, Lei Yu1,2, Zhaopeng Guo1,2, Yan He1,2.   

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.

Entities:  

Keywords:  Beijing–Tianjin–Hebei region; PGTWR model; carbon emission; city; driving factors; econometrics; heterogeneity

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Substances:

Year:  2022        PMID: 35682231      PMCID: PMC9180098          DOI: 10.3390/ijerph19116644

Source DB:  PubMed          Journal:  Int J Environ Res Public Health        ISSN: 1660-4601            Impact factor:   4.614


  5 in total

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Journal:  Sci Total Environ       Date:  2019-05-22       Impact factor: 7.963

2.  Industrial structure, urban governance and haze pollution: Spatiotemporal evidence from China.

Authors:  Tao Shi; Wei Zhang; Qian Zhou; Kai Wang
Journal:  Sci Total Environ       Date:  2020-05-11       Impact factor: 7.963

3.  Analysis of China's carbon emission driving factors based on the perspective of eight major economic regions.

Authors:  Jingquan Chen; Xinyan Lian; Hanning Su; Ziyan Zhang; Xiaojun Ma; Baishu Chang
Journal:  Environ Sci Pollut Res Int       Date:  2020-10-14       Impact factor: 4.223

4.  Spatiotemporal characteristics and influencing factors of urban resilience efficiency in the Yangtze River Economic Belt, China.

Authors:  Yingzi Lin; Chong Peng; Jianfeng Shu; Wei Zhai; Jianquan Cheng
Journal:  Environ Sci Pollut Res Int       Date:  2022-02-03       Impact factor: 4.223

5.  Spatiotemporal Differentiation and Driving Force Analysis of the High-Quality Development of Urban Agglomerations along the Yellow River Basin.

Authors:  Yu Chen; Qianqian Miao; Qian Zhou
Journal:  Int J Environ Res Public Health       Date:  2022-02-21       Impact factor: 3.390

  5 in total
  1 in total

1.  The Impact Relationships between Scientific and Technological Innovation, Industrial Structure Advancement and Carbon Footprints in China Based on the PVAR Model.

Authors:  Shengli Dai; Yingying Wang; Weimin Zhang
Journal:  Int J Environ Res Public Health       Date:  2022-08-03       Impact factor: 4.614

  1 in total

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