Abstract
In recent years, most of the research efforts on performance evaluation of higher education in China are barely based on the financial data, but lack of considering the non-financial data. However, evaluating the performance from non-financial perspective will be an interesting yet challenging task, due in large part to the complexity and qualitative property of the non-financial data. In this paper, we employ the multiple linear regression model for incorporating the non-financial data into the performance evaluation. Our results show that institutes of high education can increase the utilization efficiency of financial capital and thus improve the performance by controlling the scale of the school as well as optimizing both human and material resources. Therefore, our results imply that colleges and universities should pay attention to the management of human resources, the degree of utilization of material resources, and the proper control of the scale, in order to construct a better performance evaluation system at the university level.
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References
Zongjun, W., Yingping, X., Xiaolan, D.: Non-financial Information and Financial Warning. Value Engineering (2006) (in Chinese)
Weihua, Z.: Research on Non-financial Information and Enterprise Value Relevance, Hu Nan University (2007) (in Chinese)
Marshall, A.: The Principles of Economics (1890)
Koos, L.V.: The Junior-College Movement. Ginn and Company (1925)
Colegrave, A.D., Giles, M.J.: School Cost Functions: A Meta-Regression Analysis. Economics of Education 6 (2008)
Rui, W.: Thought on Scale Efficiency of Chinese University. Information Technology (2007) (in Chinese)
Weiqiao, L.: Research on Use Efficiency of Human Resouce of Higher Education in Liao Ning Province. Journal of An Shan Normal College (2007) (in Chinese)
Schultz, T.W.: Reflections on Investment in Man. Journal of Political Economy 70 (1962)
Schultz, T.W.: Resources for Higher Education: An Economist View. Journal of Political Economy 76 (1968)
Maishan, W.: Education Investment and Research Output. He Bei Science and Education Press (1996) (in Chinese)
Ming, Z., Bihui, Z.: Empirical Research on Financial Performance Evaluation of Chinese University on the Basis of Non-financial Information. Educational Technology (2008) (in Chinese)
Chunhui, W.: The Analysis of Improving the Access to Material Resource Use in the University of Inner Mongolia. Journal of Inner Mongolia Institute of Finance and Economics (2011) (in Chinese)
Jihong, B., Lei, Z.: The Construction of Performance Budget System of University Human Resource. Communication of Finance and Accounting (2009) (in Chinese)
Zhiang, W., Junjie, W., Jie, C., Dacheng, T.: HySAD: A Semi-Supervised Hybrid Shilling Attack Detector for Trustworthy Product Recommendation. In: The 18th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2012), Beijing, China, pp. 985–993 (August 2012)
Jie, C., Zhiang, W., Junjie, W., Hui, X.: SAIL: Summation-bAsed Incremental Learning for Information-Theoretic Text Clustering. IEEE Transactions on Cybernetics 43(2), 570–584 (2013)
Weifang, H., Xiaohao, D.: Scale Profit Theory and Education Structure Adjustment. Journal of Higher Education (1997) (in Chinese)
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Yao, W., Xu, X., Chen, W. (2014). Towards Evaluating the Performance of Higher Education: From a Non-financial Perspective. In: Huang, Z., Liu, C., He, J., Huang, G. (eds) Web Information Systems Engineering – WISE 2013 Workshops. WISE 2013. Lecture Notes in Computer Science, vol 8182. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-54370-8_10
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DOI: https://doi.org/10.1007/978-3-642-54370-8_10
Publisher Name: Springer, Berlin, Heidelberg
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