In the context of deepening the investment system reform and transforming the development mode in China, various industries are paying more and more attention to operational efficiency. Zheng Minggui et al. studied the impact of private capital entry on the operating efficiency of energy enterprises based on DEA-Tobit model [2]. Yi Xingfei studied the delisted enterprises of Anhui Province New Third Board to explore the changes of their operational efficiency and successfully identified the reasons for the linear decline of operational efficiency [3]. Wang Jiao et al. studied the efficiency of listed military enterprises in China [4]. Wang Chia Nan et al. evaluated and predicted the performance of listed real estate enterprises in Vietnam based on the data envelopment analysis [5]. José F.M. Pessanha et al. propose a more robust approach to evaluate the regulatory operating expenses of transmission firms, using several different DEA models and then defining a global efficiency score based on the geometric mean of the DEA model [6]. Pablo Coto-Millán et al studied the impact of "cargo effect" on the technical efficiency and scale efficiency of air transportation [7]. However, for small and medium sized technology enterprises, most researchers mainly focus on the study of financing efficiency [8-9], but there are few articles focus on the operational efficiency of small and medium sized technology enterprises after receiving financing and government support. The uniqueness of this paper is to build an evaluation model based on DEA model to study the operating efficiency of small and medium sized technology enterprises, and investigate the main factors affecting the operating efficiency. As a large economic province, Jiangsu Province cannot achieve the cultivation of new dynamic energy and promote industrial transformation and upgrading without the healthy development of the small and medium sized technology enterprises. Therefore, the evaluation can not only provide insight into the current enterprises operational efficiency, speculate on the factors influencing the operational development of Jiangsu small and medium sized technology enterprises, but also provide some reference for the formulation of relevant industrial policies in Jiangsu.
CITATION STYLE
Hu, R. (2022). Evaluation of Operating Efficiency of Small and Medium Sized Technology Enterprises based on DEA Model: A Case Study of Jiangsu Province. In Proceedings of the 2022 2nd International Conference on Enterprise Management and Economic Development (ICEMED 2022) (Vol. 656). Atlantis Press. https://doi.org/10.2991/aebmr.k.220603.084
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