Research Article
Research on the Efficiency of Shared Bicycle Enterprises Based on Network DEA
@INPROCEEDINGS{10.4108/eai.19-5-2023.2334214, author={Yijie Zheng}, title={Research on the Efficiency of Shared Bicycle Enterprises Based on Network DEA}, proceedings={Proceedings of the 2nd International Conference on Bigdata Blockchain and Economy Management, ICBBEM 2023, May 19--21, 2023, Hangzhou, China}, publisher={EAI}, proceedings_a={ICBBEM}, year={2023}, month={7}, keywords={shared bike enterprise network dea efficiency}, doi={10.4108/eai.19-5-2023.2334214} }- Yijie Zheng
Year: 2023
Research on the Efficiency of Shared Bicycle Enterprises Based on Network DEA
ICBBEM
EAI
DOI: 10.4108/eai.19-5-2023.2334214
Abstract
This article uses the Data Envelopment Analysis (DEA) model to evaluate the effi-ciency of bike-sharing companies with market share in the forefront of the industry. The research in this paper finds that the overall efficiency of the bicycle sharing in-dustry in China is relatively low, and there is greater room for improvement in the two stages of production maintenance and capital operation. At the same time, the bicycle sharing companies have the problems of low efficiency in the capital operation stage of large-scale enterprises and low efficiency in the production and maintenance stage of small-scale enterprises. Regarding this situation, the state can introduce corresponding policies to regulate the shared bicycle market and limit the number and quality of bi-cycles put by enterprises, thereby indirectly improving the system efficiency in the production and maintenance phase of the industry.