Data Mining and Statistical Measurement of R&D Investment in Energy Industry in Jiangsu Province

This paper uses data mining and statistical analysis to mine the data related to research and development (R&D) investment in the energy industry in Jiangsu Province to study the current situation of R&D investment in the energy industry in prefecture-level cities in Jiangsu Province. Firstly, the data on the main indicators of R&D and related activities in the energy industry in the fourth national economic census data of Jiangsu Province are organized and mined. Secondly, the entropy method is used to select indicators to analyze the input structure of energy industry, and then Jiangsu Province is empirically analyzed with Zhejiang Province, Shandong Province and other eastern coastal provinces. Finally, data envelopment analysis (DEA) is used to make a comprehensive evaluation of the efficiency of energy industry R&D investment in Jiangsu Province. The results show that: oil, electricity, gas have reached the DEA effective, but there is also the problem of energy development investment is small, resource dependence on foreign countries, Jiangsu Province still need to pay attention to investment in energy industry R& D.