Research on the spatial and temporal evolution of CO2 emission efficiency in Shanxi Province based on SBM-DEA model

Huiyu Huang

doi:10.1117/12.2692834

24 October 2023 Research on the spatial and temporal evolution of CO₂ emission efficiency in Shanxi Province based on SBM-DEA model

Huiyu Huang

Author Affiliations +

Proceedings Volume 12804, Second International Conference on Sustainable Technology and Management (ICSTM 2023); 1280416 (2023) https://doi.org/10.1117/12.2692834
Event: 2nd International Conference on Sustainable Technology and Management (ICSTM2023), 2023, Dongguan, China

Abstract

Energy saving and emission reduction has become a must for sustainable development of all countries. Therefore, under the carbon peaking and carbon neutrality goals, it is important to conduct research on CO₂ emission efficiency in regions, especially in high carbon emission regions. As a large coal province, it is necessary for Shanxi Province to transform its high CO₂ emission development mode. Therefore, this paper selects Shanxi Province as the study area and applies the Undesired-Super Efficiency SBM model to measure the carbon emission efficiency of 11 prefectural cities in Shanxi Province from 2011 to 2020., and analyze the factors affecting its CO₂ emission efficiency using a fixed-effects model. The conclusions are as follows: (1) The overall efficiency of CO₂ emissions in Shanxi Province is on a declining trend and the enhancement of CO₂ emissions efficiency is primarily limited by scale efficiency. (2) The CO₂ emission efficiency of Shanxi Province has obvious spatial differentiation. On the whole, it shows stratification from north to south, and the north and central regions have higher CO2 emission efficiency compared to other regions. (3) The scale of CO₂ emission reduction in Shanxi Province is enormous, mainly concentrated in the southeast of Shanxi Province. (4) The main factors of CO₂ emission efficiency in Shanxi Province are economic development level, industrial structure, energy structure and openness. Accordingly, this article provides corresponding policy recommendations.

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Huiyu Huang "Research on the spatial and temporal evolution of CO₂ emission efficiency in Shanxi Province based on SBM-DEA model", Proc. SPIE 12804, Second International Conference on Sustainable Technology and Management (ICSTM 2023), 1280416 (24 October 2023); https://doi.org/10.1117/12.2692834

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KEYWORDS

Energy efficiency

Carbon monoxide

Carbon dioxide

Carbon

Industry

Data modeling

Factor analysis

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