Open AccessResearch on R&D Efficiency Evaluation of Chinese Seed Industry Listed Companies Based on Three-Stage DEA Model
Author(s) -
Linnan Yan
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1549/4/042040
Subject(s) - scale (ratio) , business , china , industrial organization , redundancy (engineering) , capital (architecture) , government (linguistics) , order (exchange) , environmental economics , economics , finance , computer science , linguistics , philosophy , physics , archaeology , quantum mechanics , political science , law , history , operating system
In this paper, we measure and analyze the R&D efficiency of 19 seed listed enterprises in China. In order to make the measurement more accurate, We used a three-stage DEA model to exclude the influence of environment variables. After removing the environmental factors, the R&D efficiency and scale efficiency decreased significantly than before, while the pure technical efficiency increased as a whole. This show that the R&D efficiency of seed industry in China is low, mainly affected by the efficiency of scale, and 63% of enterprises are in the state of increasing scale returns. But enterprise scale, the government support, ownership concentration and economic environment for research and development personnel and R&D capital has positive influence on redundancy, which are not conducive to R&D efficiency. Therefore, enterprises should pay attention to the influence of environmental factors, by improving the environmental factors to expand the scale of research and development, and improve the efficiency of its R&D to a certain extent.