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

Ting Lou, Jianhui Ma, Yu Liu, Lei Yu, Zhaopeng Guo and Yan He
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Ting Lou: School of Economics, Hebei University, Baoding 071002, China
Jianhui Ma: School of Economics, Hebei University, Baoding 071002, China
Yu Liu: School of Economics, Hebei University, Baoding 071002, China
Lei Yu: School of Economics, Hebei University, Baoding 071002, China
Zhaopeng Guo: School of Economics, Hebei University, Baoding 071002, China
Yan He: School of Economics, Hebei University, Baoding 071002, China

IJERPH, 2022, vol. 19, issue 11, 1-18

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.

Keywords: carbon emission; Beijing–Tianjin–Hebei region; PGTWR model; heterogeneity; driving factors; city; econometrics (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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