Study on the R&D Contribution Rate of Listed Pharmaceutical Enterprises in Southwest China Based on Super-efficiency DEA Model
- VernacularTitle:基于超效率DEA模型的西南地区上市药企研发贡献度研究
- Author:
Dan ZHANG
1
;
Geyao ZHOU
1
;
Haiyu TIAN
1
;
Wenjiao CHEN
1
;
Xiaoxia MENG
1
Author Information
1. School of Medical and Health Management,Guizhou Medical University,Guiyang 550025,China
- Publication Type:Journal Article
- Keywords:
Super-efficiency DEA model;
R&D input;
Southwest China;
Listed pharmaceutical enterprises;
Contri- bution rate of R&D
- From:
China Pharmacy
2019;30(12):1585-1590
- CountryChina
- Language:Chinese
-
Abstract:
OBJECTIVE: To provide reference for pharmaceutical enterprises to enhance the R&D capability and improve the R&D investment strategy. METHODS: The annual report data of 13 listed pharmaceutical enterprises in southwest China were collcted. Taking fixed assets, operating costs, the number of employees in service and the amount of R&D investment as input indicators, net profit, operating income and earnings per share as output indicators, the efficiency values were calculated by using MyDEA 1.0 software based on super-efficiency DEA model. The operating efficiency of enterprises with or without R&D input were compared; the contribution rate of R&D investment to enterprises were calculated. Finally, Wilcoxon symbolic rank test was carried out by using SPSS 20.0 software to compare the difference. RESULTS: From 2013 to 2015, 10 of the 13 listed pharmaceutical enterprises had increased their R&D investment, which indicated that listed pharmaceutical enterprises in southwest China paid more attention to R&D investment. For three consecutive years, the efficiency value of R&D investment of the 13 listed pharmaceutical enterprises was significantly higher than that of the enterprises without R&D investment, and the number of the former reaching DEA efficiency was more, indicating that R&D investment was positively correlated with the operational efficiency of pharmaceutical enterprises. The Wilcoxon symbol rank test also confirmed that R&D investment was an effect input. After three enterprises joined the R&D input index, their operational efficiency was improved, and their R&D contribution was greater. Five enterprises had zero R&D contribution, their efficiency value remained unchanged whether or not they joined R&D input. The R&D contribution of other listed pharmaceutical enterprises varied greatly in each year. CONCLUSIONS: At the overall level of the industry, enterprises should increase their R&D investment and pay attention to improving R&D efficiency, establish a sound R&D innovation system and R&D personnel training mechanism, establish an integrated training mode of production, learning and research; the government should create an environment to support R&D activities of pharmaceutical enterprises. For individual enterprises, different strategies should be adopted based on practical situation in order to improve the pulling effect of R&D input on the operational efficiency of enterprises.