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Research on the innovation efficiency of listed companies based on data mining

In the context of global warming, how to improve the innovation efficiency in China’s renewable energy industry is of great significance. In this paper, we use the panel data of listed companies of China’s renewable energy industry from 2012 to 2018 as a sample and apply the distance output stochastic frontier model to measuring the investment (R&D input) efficiency by considering the factors affecting the innovation efficiency of China’s renewable energy industry. Conclusions show that the innovation capacity of China’s renewable energy industry is negatively correlated with economic development level, and positively correlated with the market structure, ownership structure, and R and D expenditure structure. From 2012 to 2018, the innovation capacity of most listed companies in the renewable energy industry is on the rise.