Abstract
The manufacturing industry directly reflects national productivity, and it is also an industry with high energy consumption and severe carbon emissions. This study decomposes the influential factors on carbon emissions in China's manufacturing industry from 1995 to 2018 into industry value added, energy consumption, fixed asset investment, carbon productivity, energy structure, energy intensity, investment carbon intensity, and investment efficiency by Generalized Divisia Index Model. The decoupling analysis of carbon emissions and industry value added is carried out to investigate the states of the manufacturing industry under the pressure of "low carbon" and "economy." Results show that first, fixed asset investment is the driving force of carbon emissions, followed by industry value added; investment carbon intensity, carbon productivity, investment efficiency, and energy intensity are the mitigating factors; simultaneously, the impacts of energy consumption and energy structure are fluctuating. Second, the decoupling of manufacturing has improved, especially in the light industry. Third, the decoupling of carbon emissions and economic development is mainly dominated by the decoupling of energy consumption and industry added value. Therefore, reducing the proportion of coal consumption and optimizing the energy structure are significant ways to promote the low-carbon development of the manufacturing industry.
Highlights
The greenhouse effect caused by carbon emissions seriously threatens the development of human beings
Where TC stands for carbon emissions; E is energy consumption; IVA represents the industry value added; FAI is fixed asset investment; EC represents the energy structure; CP denotes carbon productivity; ICI is investment carbon intensity; EI indicates energy intensity; IE means investment efficiency
It indicates that China's manufacturing industry has the potential to reduce carbon emissions, especially the heavy industry
Summary
The greenhouse effect caused by carbon emissions seriously threatens the development of human beings. Human activities are vital for the production of carbon emissions. The initial research is basically from the perspective of socio-economic. Decomposition analysis is an analytical framework for studying the characteristics of greenhouse gas emissions, which increasingly apply in the study of environment and economy (Song et al 2011; Yue et al 2013). Greenhouse gas emissions are determined by the technological level, affluence, energy structure, economic structure, population size, etc. The research scopes of decomposition analysis are broad, primarily including countries, regions, and industries (Chen et al 2018; Chai et al 2019; Meng and Zhou 2020)
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