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

Hongyi Zhang; Hsinghung Chen; Min Zheng

doi:10.1117/12.2628093

18 February 2022 Research on the innovation efficiency of listed companies based on data mining

Hongyi Zhang, Hsinghung Chen, Min Zheng

Proceedings Volume 12162, International Conference on High Performance Computing and Communication (HPCCE 2021); 1216210 (2022) https://doi.org/10.1117/12.2628093
Event: 2021 International Conference on High Performance Computing and Communication, 2021, Guangzhou, China

Abstract

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.

Citation Download Citation

Hongyi Zhang, Hsinghung Chen, and Min Zheng "Research on the innovation efficiency of listed companies based on data mining", Proc. SPIE 12162, International Conference on High Performance Computing and Communication (HPCCE 2021), 1216210 (18 February 2022); https://doi.org/10.1117/12.2628093

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