Evaluation of high-tech industry innovation performance using a new two-stage network DEA model

Abstract

This article describes a new two-stage network DEA model. This model considers shared input, additional input, and undesirable output on a concept of cooperative game theory. Based on this model, we evaluate the overall and substage innovation performance of China’s high-tech industry from 2006 to 2015. The results display that: (1) the spatial distribution of innovation efficiency of high-tech industry is extremely uneven in China. The efficiency mean value in the south of China for the decade is 0.791, which is the best, and central China performed worst with 0.328 average overall efficiency. (2) Eleven provinces, making up 44% of all provinces, had overall efficiency mean values between 0.3 to 0.6 over the decade. There are six districts with an overall efficiency value above 0.8, including five provinces in the southwest, meanwhile the values in northwestern and central areas of China are below 0.3. (3) the availability of the high-tech industry still depends on the efficiency in the production stage in China, and most Chinese provinces have good substage coordination with low overall efficiency.