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

Abstract

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.