管理工程学报2011，Vol.25Issue(4)：103-112,10.
企业研发效率测度与比较——以中国各地区大中型工业企业数据为例
A Firm's R&D Productivity: An Analysis of Large and Medium-sized Industrial Enterprises in China based on Province-Level Panel Data
摘要
Abstract
A firm's R&D decisions, and a government's policy-making decisions need to take R&D productivity into consideration.Although the measurement of total factor productivity of R&D activities based on the knowledge production function is an effective and popular method, findings of other estimation methods remain inconsistent and elusive. In order to better understand the rigor of different estimation methods, we use different proxy indicators, such as the number of new product projects, the number of patent applications, and owners. Three estimation methods, including SRA, SFA and DEA, are adopted to analyze the same province-level panel data collected from medium- and large-sized industrial enterprises. These comparisons enable us to objectively evaluate R&D behaviors and efficiency of Chinese enterprises.Our analysis results show that the number of R&D personnel and new products are reliable indicators to address multi-product problems, and so is the DEA measurement of R&D productivity. The trend of changes in the total factor productivity is consistent across different provinces. Results found in different methods are highly correlated with each other. Another finding is that R&D efficiency decreases along with the increased number of new products, but increases with the increased number of patent applications.The most important finding is that the whole R&D efficiency level is low. The productivity gap between different provinces shows that there is room for efficiency promotion. R&D efficiency is reduced when we use the number of new products as R&D outputs. This finding corroborates with the decrease of rankings in Chinese industrial competitiveness this year. As to the contribution of input factors, we find that the human capital's output elasticity is quite lower than the physical capital's. We also find that human capital's output elasticity is much lower than physical capital's. These findings have an important policy implication; that is, an effective method to increase R&D efficiency of industrial enterprises should be adopted to sustain industrial and national economic development.关键词
研发效率/索洛剩余核算/随机前沿分析/数据包络分析Key words
R&D productivity of firms/ solow residuals accounting/ stochastic frontier approach/ data envelopment analysis分类
管理科学引用本文复制引用
傅晓霞..企业研发效率测度与比较——以中国各地区大中型工业企业数据为例[J].管理工程学报,2011,25(4):103-112,10.基金项目
国家自然科学基金资助项目(70902002) （70902002）
北京市自然科学基金资助项目(9102019) （9102019）
中央财经大学“211工程”第三期重点学科建设资助项目 （）
