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| Research on the Efficiency Measurement of the Effect of Science and Technology Project Funding on Output Performance of Paper |
| Wang Feifei,Jia Chenran,Liu Junwan |
| (Research Base of Beijing Modern Manufacturing Development, College of Economics and Management, Beijing University of Technology, Beijing 100124,China) |
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Abstract Based on the papers and scholars in the field of artificial intelligence explores the effect of the funding of science and technology projects on the output performance of paper. Specifically, the use of negative binomial regression analysis of different countries and sub-sectors of the type of funding, intensity, types of funding on the impact of citations and published journal level influence, found that the funding indicators can be positive on the quality of the paper,and there are differences in the effect of scholarship promotion in different regions and research directions.Using the tendency score method and linear regression models to measure the effectiveness of subsidized scholars' output performance improvement from the perspectives of the number of paper, cited and h index, find that funding can significantly improve the overall productivity and academic influence of scholars; and the number and the amount of the subsidized projects by Tobit regression measure have different effects on different different age group scholars,the results show that the increase of the number can improve the output performance of the scholars as a whole, and the increase of the amount can further expand the dynamic increase of output and influence. In view of this, relevant suggestions on funding improvement strategies and evaluation mechanism optimization are proposed.
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Received: 26 March 2019
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