Research on Carbon Emission Efficiency Based on Super-efficiency SBM and Malmquist Model
Year: 2025
Type: conference-paper
Abstract: In the context of global climate change and China's pursuit of the “dual carbon” goals, the urban low-carbon transformation is extremely urgent. This study focuses on this issue and has constructed a comparative research framework for the first and second batch of carbon peak pilot cities in China, using 42 pilot cities from 2010 to 2019 as the research sample. In terms of model construction, given the limitations of the traditional DEA model that only considers the total emissions as the undesired output, this study innovatively constructed an ultra-efficiency SBM - DEA model that integrates carbon intensity constraints. At the same time, combined with the Malmquist index, it deeply reveals the spatio-temporal evolution patterns of carbon emission efficiency from two dimensions: static efficiency decomposition and dynamic evolution. The empirical results show that this model effectively captures the changes in carbon emission efficiency. The average carbon emission efficiency of each city increased from 50.7% in 2010 to 54.2% in 2019, and presented a regional heterogeneity characteristic of “leading in the east, lagging in the central and western regions”, such as the Yangtze River Delta urban agglomeration achieving a steady improvement in efficiency through environmental regulation linkage. Dynamic analysis shows that the average total factor productivity index has grown by 106% annually since 2014, highlighting the significant driving effect of technological progress on the improvement of carbon emission efficiency. The model constructed in this study provides a powerful tool for assessing urban carbon emission efficiency and formulating low-carbon transformation strategies.
Authors: Hongqi Hui, Yingnan Zhao
Institution: Hebei University of Science and Technology
Language: English
Field: Decision Sciences
Domain: Social Sciences
Open Access status: hybrid
OpenAlex ID: W7127572575