Comparisons on Science and Technology Innovation Efficiency between Large-sized and Medium-sized Industrial Enterprises in China: Based on DEA Method and Equal Part Linear Regression

This paper constructs an evaluation system for science and technology efficiency of industrial enterprises based on existing research achievements, and implements a comparative analysis on the innovation efficiency of large and medium-sized industrial enterprises by data envelopment analysis (DEA). Further, it discusses the factors influencing the science and technology innovation efficiency of large and medium-sized industrial enterprises by equal part linear regression. The results show that: firstly, the innovation efficiency of large-sized enterprises is equivalent to that of medium-sized ones overall, but both possess their unique advantages in various subdivided industries. Secondly, most of the large-sized and medium-sized industrial enterprises show constant or diminishing returns to scale. Thirdly, in the mining and manufacturing industries, both large and medium-sized enterprises show the highest input redundancy and obvious output insufficiency. Finally, there are different factors influencing the science and technology innovation efficiency of large and medium-sized industrial enterprises.