| Summary: | [Purpose/Significance] Comparing and studying the difference between the factors affecting university patent transformation and amount of transformation is the premise of correctly understanding the transformation potential of university patents, predicting the transformation prospects of patents, and conducting scientific classification management in universities, which can improve the efficiency and accuracy of university patent transformation. [Method/Process] Based on the same set of index system, multiple linear regression and binary logistical regression models are built to study the influencing factors between university patent transformation and amount of transformation, using transformation patent sample as research data, which contained actual transaction amount information. [Result/Conclusion] The influencing factors between university patent transformation and amount of transformation are quite different. Only the document pages and the number of patent citations have the same influence relationship, and the other seven indicators are inconsistent. The indicators reflecting the legal stability of the patent have a more significant role in promoting the transformation of university patents, while the indicators reflecting the input of man-power, material resources, financial resources have a stronger role in increasing the amount of patent transformation in universities. The four-quadrant classification management model constructed from the two dimensions of patent transformation probability and transformation amount forecast value make the patent classification management work in universities more targeted.
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