Spatial-temporal Evolution and Influencing Factors of Carbon Emissions in China's Manufacturing Industry

Author:

Zeng Qian1,Cao Shuya1,He Jiayi1

Affiliation:

1. Xi’an International Studies University

Abstract

Abstract Manufacturing carbon emissions account for a huge proportion of China 's total carbon emissions, and promoting manufacturing carbon emission reduction will effectively help achieve the ' double carbon ' goal. This paper explores the spatial and temporal evolution characteristics and changing trends of carbon emissions in China 's manufacturing industry by industry and province through exploratory spatial-temporal data analysis method and spatial-temporal transition measurement method, and summarizes the absolute β convergence and conditional β convergence trend of China 's manufacturing industry at the national level and in the eastern, central and western regions. On this basis, the spatial Dubin model is used to analyze the influence degree and spatial effect of economic growth, energy intensity and energy structure on carbon emissions in China 's manufacturing industry. The results show that the emission reduction effect of sub-sectors is not the same. Compared with technology-intensive industries, the carbon reduction effect of resource-intensive industries is poor. From the provincial perspective, the spatial distribution of manufacturing carbon emissions among provinces and cities in China shows the spatial and temporal evolution characteristics of agglomeration and differentiation. There are absolute β convergence and conditional β convergence in the whole country and the eastern, central and western regions From the perspective of convergence speed, the convergence speed of the central region is faster than that of the western region, and the western region is faster than the eastern region ; economic growth, energy intensity, urbanization level, energy structure and openness have a significant positive impact on the level of manufacturing carbon emissions in the province and neighboring provinces and cities, and the degree of influence decreases in turn. Industrial structure has a significant negative impact on the level of manufacturing carbon emissions in the province and neighboring provinces and cities.

Publisher

Research Square Platform LLC

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