Comparative Study on the Efficiency of Science and Technology Innovation in Various Provinces of China - Calculated through a Two Stage Network DEA Model

In today's highly competitive global economic environment, technological innovation is regarded as one of the engines driving the sustainable development of countries and organizations. This article takes the scientific and technological innovation data of 31 provinces (municipalities, autonomous regions, etc.) in China as the research object, and uses a non radial network DEA model based on SBM to measure the efficiency of scientific and technological innovation. The results show that: (1) the scientific and technological innovation efficiency of the 31 provinces is generally at a medium to low level, and the development between provinces is extremely uneven. (2) Most provinces focus more on the stage of scientific research output and neglect the stage of economic benefits transformation, resulting in lower overall operational efficiency. (3) Most provinces have low overall efficiency due to poor pure technical efficiency; A few provinces have insufficient resource investment. Through the above empirical analysis, corresponding policy recommendations are proposed for improving innovation efficiency in various provinces of China, promoting sustainable social development.