Abstract:Exploring the overall level, regional differences and sources of loss of standardization efficiency of China’s logistics groups is conducive to improving the group standardization and promoting the high-quality development of logistics industry. From the perspective of technological heterogeneity, a Meta-Frontier DEA model was constructed based on the common frontier theory to estimate the standardization efficiency and regional technology gap of logistics groups in eastern, central, western and northeastern China during 2015-2021. The results show that there are obvious differences in the standardization efficiency of logistics groups among the four regions in China, and the main sources of efficiency loss are different, which can be divided into four types: current level maintaining, overall improving, intra-group learning and cross-group learning. Therefore, different improvement measures should be taken in accordance with different types: the areas that maintain the current level should fine-tune the deficiencies of group standardization on the basis of maintaining the current technical level and management level; The overall improving area should not only improve the technical level through technological innovation but also improve its own management level through learning; The intra-group learning region should not only maintain the standard technical level of the existing logistics group, but also pay attention to improving the internal motivation and focus on learning from the provinces and cities with high management level within the group; The cross-group learning region needs to learn from the technologically advanced provinces and cities outside the group while maintaining the existing management level, so as to promote the efficiency of logistics group standards.
张宝友, 黄妍, 孟丽君, 虎陈霞. 技术异质性视角下中国物流团体标准化效率评估及提升路径研究[J]. 北京交通大学学报(社会科学版), 2023, 22(3): 136-150.
ZHANG Bao-you, HUANG Yan, MENG Li-jun, HU Chen-xia. Study on Efficiency Assessment and Improvement Path of China’s Logistics Group Standardization from the Perspective of Technological Heterogeneity. journal6, 2023, 22(3): 136-150.
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