Madden, G., Savage, S., & Kemp, S. (1997). Measuring public sector efficiency: A study of
economics departments at Australian Universities.Education Economics, 5 (2), 153–168.
Meeusen, W., & van Den Broeck, J. (1977). Efficiency estimation from Cobb-Douglas production
functions with composed error.International economic review, 18(2), 435–444.
National Bureau of Statistics. (2011).China Statistical Yearbook on Science and Technology,
Beijing: China Statistics Press.
Orea, L. (2002). Parametric decomposition of a generalized malmqusit productivity index.Journal
of Productivity Analysis, 18, 5 – 22.
Panzar, J. C., & Willig, R. D. (1981). Economies of scope.American Economic Review, 71,
268 – 272.
Pitt, M. M., & Lee, L. F. (1981). Measurement and sources of technical inefficiency in the
Indonesian weaving industry.Journal of Development Economics, 9, 43 – 64.
Stevens, P. A. (2005). A stochastic frontier analysis of English and Welsh universities.Education
Economics, 13(4), 355–374.
Stevenson, R. E. (1980). Likelihood functions for generalized stochastic frontier estimation.
Journal of Econometrics, 13(1), 57–66.
Tian, D., & Miao, Y. (2006). Efficiency analysis on Chinese key universities: 2001–2003.
Research in Higher Education of Engineering, 4, 83 – 86. (In Chinese).
Wei, Q. (2004).Data envelopment analysis. Beijing: Science Press. (In Chinese).
Xu, J. (2009). An Evaluation of relative input-output efficiency of research in higher education
institutions in China: A data envelopment analysis.Tsinghua Journal of Education, 30(2),
76 – 80. (In Chinese).
Zhang, L., Bao, W., & Sun, L. (2016). Resources and research production in higher education: A
longitudinal analysis of Chinese universities, 2000–2010.Research in Higher Education,
57 (7), 869–891.
References 31