The thesis adopts the principal component analysis and entropy method to set up a model for calculating and carrying out a statistical analysis of the financing efficiency of listing companies within the jurisdiction of Shangdong Province. First, the thesis sets up a financing efficiency evaluation indicator system according to financing theories. Next, it adopts the principal component analysis to abstract five principal factors influencing the financing efficiency. Later, the thesis adopts the entropy method to analyze the total score of each sample. Later, it draws the conclusion that the listing companies within the jurisdiction of Shandong Province universally have a low financing efficiency. Lastly, the thesis analyzes the reason for drawing the conclusion and proposes relevant countermeasures.

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According to the listed companies of China's manufacturing enterprises and the analysis of the data of industry breakdown in 2013, the study finds: The lower asset-liability ratio is, the greater its R&D intensity will be. Corporate profitability and market competition situation have a weak influence on R&D intensity. High-tech enterprise identity is a critical factor influencing enterprise R&D intensity.