Ziyuan Kexue (Jun 2023)
Regional differences, dynamic changes, and influencing factors of carbon emissions from industrial production energy consumption in China
Abstract
[Objective] Carbon emissions from industrial production are the most important source of carbon emissions from production activities in China. The purpose of this study was to measure the carbon emission quantity and intensity of industrial production energy consumption, explore their regional differences and influencing factors, and provide corresponding policy recommendations for carbon emission reduction to help achieve carbon peak and carbon neutrality. [Methods] The regional differences, dynamic changes, and influencing factors of national and regional carbon emissions from 2005 to 2019 were analyzed using carbon emission classification, Dagum Gini coefficient, kernel density estimation, and spatial econometric models. [Results] (1) The quantity of carbon emissions from industrial energy consumption showed an increasing trend from 2005 to 2019. Carbon emission quantity was eastern region>central region>western region, then changed to eastern region>western region>central region. Carbon emission intensity showed a downward trend. The order of carbon emission intensity from high to low was always the western region, the central region, and the eastern region. (2) The overall differences of carbon emission quantity and intensity across the country were large and showed an upward trend, among which, the overall Gini coefficient of carbon emission quantity increased from 0.3793 in 2005 to 0.3861 in 2019, and the overall Gini coefficient of carbon emission intensity increased from 0.3160 in 2005 to 0.3990 in 2019. The eastern region had the largest intra-regional difference in carbon emission quantity, and the average Gini coefficient was 0.4119. The western region had the largest intra-regional difference in carbon emission intensity, and the average Gini coefficient was 0.3175. (3) Carbon emission quantity of industrial production energy consumption was mainly affected by industrial structure and foreign direct investment, and carbon emission intensity was mainly affected by foreign direct investment and scientific and technological innovation. In addition, high urbanization rate significantly increased carbon emissions in the eastern region, while significantly reduced carbon emissions in the western region, showing regional differences. [Conclusion] There were significant regional differences in carbon emissions from industrial production energy consumption, and there were obvious differences in the dynamic change characteristics of regional carbon emissions. The use of spatial econometric model can better identify the influencing factors and spatial effects of carbon emissions in the country and the three regions, which is of great significance for taking corresponding measures to reduce carbon emissions according to local conditions.
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