With the deepening of global economic integration and the rapid growth of e-commerce, innovation has become a key driver for Chinese logistics enterprises to enhance competitiveness and modernize operations. This paper analyzes 48 listed logistics enterprises in China from 2015 to 2023, using R&D expenditure, R&D personnel, and total fixed assets as input indicators, and patent applications and intangible asset growth as output indicators, measured by a single-stage SBM-DEA model. The results show that overall innovation performance is relatively low, with a mean of 0.2123, significant structural differences exist, and performance fluctuates without a consistent upward trend. Recommendations are proposed to optimize innovation resource allocation and improve overall performance.

Yingtong Lu, Hao Zhang, Nan Xia. Evaluation of Innovation Performance of Logistics Enterprises Based on DEA Model. Academic Journal of Business & Management (2026), Vol. 8, Issue 3: 134-140. https://doi.org/10.25236/AJBM.2026.080316.

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