Abstract
With China’s economy entering the stage of high-quality development, manufacturing energy carbon emission efficiency has become the focus of academic attention. It is of great significance to study the convergence of manufacturing energy carbon emission efficiency for realizing high-quality development of manufacturing in China. Based on the panel data of China’s manufacturing sub-sectors, this paper measures and analyzes the evolution trend of manufacturing energy carbon emission and its efficiency. On this basis, this paper uses the coefficient of variation and convergence model to test the convergence of manufacturing energy carbon emission efficiency. The results show that China’s manufacturing energy carbon emissions and its efficiency demonstrate an increasing trend. Coal was the main source of manufacturing energy carbon emissions. The manufacturing energy carbon emission efficiency does not have σ convergence, but has \(\beta\) convergence, and its convergence has industry heterogeneity. The manufacturing energy carbon emission efficiency exits scale effect and technology effect, but not the effect of opening to the outside world and institutional effect, and its effect exists industry heterogeneity. By reducing carbon emissions, adopting differentiated policies, adjusting the industry scale, and enhancing the industry technology intensity, China’s manufacturing can improve the energy carbon emission efficiency and promote high-quality economic development.
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Notes
Note: The data comes from the National Bureau of Statistics.
Note: The carbon emissions above reflect only those through consumption of oil, gas, and coal for combustion related activities and are based on “Default CO2 Emissions Factors for Combustion” listed by the IPCC in its Guidelines for National Greenhouse Gas Inventories (2006).
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This work is funded by the National Philosophy and Social Science Foundation of China, China (Key Project Grant No. 19XJL006).
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Liu, D. Convergence of energy carbon emission efficiency: evidence from manufacturing sub-sectors in China. Environ Sci Pollut Res 29, 31133–31147 (2022). https://doi.org/10.1007/s11356-022-18503-9
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DOI: https://doi.org/10.1007/s11356-022-18503-9