Research on Evaluation of Scientific and Technological Innovation Efficiency in Chinese Universities-An Analysis Based on Sample Data of 31 Provinces

Xi, Zhao; Chen, Mengyao; Long, Chengming; Zhao, Jiaxing; Wang, Shuangguo

doi:10.1109/access.2023.3241343

Cited by 4 publications

(2 citation statements)

References 14 publications

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“…In terms of empirical analyses, most of the relevant studies [16], [17] measure the impact of technological innovation on patent industrialization from a mesoscopic perspective, which uses the amount of technology research and funding in each university, enterprise, or region as the input indicator and the revenue generated from new products as the output indicator for technological industrialization. The impact is then estimated in terms of technological innovation efficiency using the data envelopment analysis (DEA) model.…”

Section: B Impact Of Technological Innovation Capability On Patent Tr...mentioning

confidence: 99%

Using Machine Learning With Technological Innovation Factors to Predict the Transferability of University Patents

Deng,

Chen

2023

IEEE Access

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We quantify the impact of technological innovation factors on university patent transferability, accurately identify transferable patents, and address the lack of interpretability in existing patent transferability models by applying the latent Dirichlet allocation (LDA) model to conduct text mining and feature extraction on abstracts of university patents in the field of artificial intelligence. We then construct a patent transferability fusion index system that includes technological innovation features and quality features. Four typical machine learning algorithms, namely support vector machine (SVM), random forest (RF), artificial neural network (ANN), and extreme gradient boosting (XGBoost) were used to predict university patent transferability. We use SHapley Additive exPlanations (SHAP) to explore feature importance and interactions based on the model with the strongest performance. Our results show that (1) XGBoost outperforms the other algorithms in predicting university patent transferability; (2) fusion indicators can effectively improve prediction performance with respect to university patent transferability; (3) the importance of technological innovation features generated with XGBoost is generally high; and (4) the impact of both technology innovation and patent quality features on university patent transferability is nonlinear and there are significant positive interaction effects between them.

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Section: B Impact Of Technological Innovation Capability On Patent Tr...mentioning

confidence: 99%

Using Machine Learning With Technological Innovation Factors to Predict the Transferability of University Patents

Deng,

Chen

2023

IEEE Access

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“…Ma Ru [4] analyzed the overall trend of high-quality development of China's regional economy from five aspects of supply, demand, efficiency, operation and opening up. Considering the new development concept, large amounts of scholars [5] build a target system from the five dimensions,namely innovation, coordination, green, openness and sharing.…”

Section: Literature Review and Theoretical Analysis 21 Literature Reviewmentioning

confidence: 99%

Study on the Influence of Logistics Development on High-Quality Economic Development

Huang¹

2023

AEMR

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This paper studies the impact of the logistics development on the high-quality economic development. Firstly, we construct two systematic evaluation index systems of logistics development level and high-quality economic development level on the basis of the data of 31 provinces from 2011 to 2020,which is in order to establish a panel regression model to study its influence and action mechanism. Secondly, the results include: (1) logistics development can promote high-quality economic development.(2) The financial environment positively regulates the impact of logistics level on high-quality economic development. Finally, this paper gives policy suggestions from the prospective of overall logistics, infrastructure construction and scientific and technological development, which provides a new perspective for promoting the high-quality economic development.

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Research efficiency evaluation and regional differences analysis of humanities and social sciences of colleges and universities in China

Wang,

Wang

2024

Soft Comput

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Research on Evaluation of Scientific and Technological Innovation Efficiency in Chinese Universities-An Analysis Based on Sample Data of 31 Provinces

Cited by 4 publications

References 14 publications

Using Machine Learning With Technological Innovation Factors to Predict the Transferability of University Patents

Using Machine Learning With Technological Innovation Factors to Predict the Transferability of University Patents

Study on the Influence of Logistics Development on High-Quality Economic Development

Research efficiency evaluation and regional differences analysis of humanities and social sciences of colleges and universities in China

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