Evaluation of Local Green Supply Chain Performance Using a Three-Phase Data Envelopment Analysis (DEA) Model and Malmquist Efficiency Framework-

Abstract

Regional synergistic development and lowcarbon economy are China's current themes of regional economic development. Based on the background of lowcarbon development, the relevant data of the Ningbo metropolitan area from 2017 to 2022 are selected, and the three-stage DEA model and Malmquist model are used to measure the low-carbon logistics efficiency of Ningbo metropolitan area region from static and dynamic dimensions, respectively. The results show that regional economic development, residents’ consumption and research and development expenditures have a certain impact on the measurement of low-carbon logistics efficiency in Ningbo metropolitan area. From the static perspective, the low-carbon logistics efficiency of Ningbo metropolitan area has reached the ideal state. Still, the overall lowcarbon logistics efficiency of Ningbo metropolitan area has not reached the optimal state. There is still room for upward mobility, mainly due to the fact that the scale of the logistics industry has room for upgrading. From a dynamic point of view, technological progress promotes the development of low-carbon logistics efficiency.