This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.
Agasisti, T. (2011). Performances and spending efficiency in higher education: A European comparison. Social Science Electronic Publishing, 19(2), 199–224.AgasistiT.2011Performances and spending efficiency in higher education: A European comparisonSocial Science Electronic Publishing192199224Search in Google Scholar
Agasisti, T., & Bianco, A.D. (2009). Measuring efficiency of higher education institutions. International Journal of Management & Decision Making, 10(5–6), 443–465(23).AgasistiT.BiancoA.D.2009Measuring efficiency of higher education institutionsInternational Journal of Management & Decision Making105–64434652310.1504/IJMDM.2009.026687Search in Google Scholar
Agasisti, T., & Johnes, G. (2009). Beyond frontiers: Comparing the efficiency of higher education decision-making units across more than one country. Education Economics, 17(1), 59–79.AgasistiT.JohnesG.2009Beyond frontiers: Comparing the efficiency of higher education decision-making units across more than one countryEducation Economics171597910.1080/09645290701523291Search in Google Scholar
Agasisti, T., & Pohl, C. (2012). Comparing German and Italian public universities: Convergence or divergence in the higher education landscape? Managerial & Decision Economics, 33(2), 71–85.AgasistiT.PohlC.2012Comparing German and Italian public universities: Convergence or divergence in the higher education landscape?Managerial & Decision Economics332718510.1002/mde.1561Search in Google Scholar
Asmild, M., Paradi, J.C., Aggarwall, V., & Schaffnit, C. (2004). Combining DEA window analysis with the Malmquist index approach in a study of the Canadian banking industry. Journal of Productivity Analysis, 21(1), 67–89.AsmildM.ParadiJ.C.AggarwallV.SchaffnitC.2004Combining DEA window analysis with the Malmquist index approach in a study of the Canadian banking industryJournal of Productivity Analysis211678910.1023/B:PROD.0000012453.91326.ecSearch in Google Scholar
Avkiran, N.K. (2001). Investigating technical and scale efficiencies of Australian Universities through data envelopment analysis. Socio-Economic Planning Sciences 35, 57–80.AvkiranN.K.2001Investigating technical and scale efficiencies of Australian Universities through data envelopment analysisSocio-Economic Planning Sciences35578010.1016/S0038-0121(00)00010-0Search in Google Scholar
Barra, C., Lagravinese, R., & Zotti, R. (2018). Does econometric methodology matter to rank universities? An analysis of Italian higher education system. Socio-Economic Planning Sciences, 62, 104–120.BarraC.LagravineseR.ZottiR.2018Does econometric methodology matter to rank universities? An analysis of Italian higher education systemSocio-Economic Planning Sciences6210412010.1016/j.seps.2017.09.002Search in Google Scholar
Barra, C., & Zotti, R. (2016). Measuring efficiency in higher education: An empirical study using a bootstrapped data envelopment analysis. International Advances in Economic Research, 22(1), 11–33.BarraC.ZottiR.2016Measuring efficiency in higher education: An empirical study using a bootstrapped data envelopment analysisInternational Advances in Economic Research221113310.1007/s11294-015-9558-4Search in Google Scholar
Barros, C.P., Guironnet, J.P., & Peypoch, N. (2011). Productivity growth and biased technical change in French higher education. Economic Modelling, 28(1–2), 641–646.BarrosC.P.GuironnetJ.P.PeypochN.2011Productivity growth and biased technical change in French higher educationEconomic Modelling281–264164610.1016/j.econmod.2010.06.005Search in Google Scholar
Caves, D.W., Christensen, L.R., & Diewert, W.E. (1982). The economic theory of index numbers and the measurement of input output, and productivity. Econometrica, 50, 1393–1414.CavesD.W.ChristensenL.R.DiewertW.E.1982The economic theory of index numbers and the measurement of input output, and productivityEconometrica501393141410.2307/1913388Search in Google Scholar
Cooper, W.W., Seiford, L.M., & Tone, K. (2007). Data envelopment analysis: A comprehensive text with models, applications, references and DEA-Solver Software (Second Edition). New York: Springer.CooperW.W.SeifordL.M.ToneK.2007Data envelopment analysis: A comprehensive text with models, applications, references and DEA-Solver Software (Second Edition)New YorkSpringer10.1007/978-0-387-45283-8Search in Google Scholar
Edvardsen, D.F., Førsund, F.R., & Kittelsen, S.A.C. (2017). Productivity development of norwegian institutions of higher education 2004–2013. Journal of the Operational Research Society, 68(4), 399–415.EdvardsenD.F.FørsundF.R.KittelsenS.A.C.2017Productivity development of norwegian institutions of higher education 2004–2013Journal of the Operational Research Society68439941510.1057/s41274-017-0183-xSearch in Google Scholar
De França, J.M.F., de Figueiredo, J.N., & dos Santos Lapa, J. (2010). A DEA methodology to evaluate the impact of information asymmetry on the efficiency of not-for-profit organizations with an application to higher education in Brazil. Annals of Operations Research, 173(1), 39–56.De FrançaJ.M.F.de FigueiredoJ.N.dos Santos LapaJ.2010A DEA methodology to evaluate the impact of information asymmetry on the efficiency of not-for-profit organizations with an application to higher education in BrazilAnnals of Operations Research1731395610.1007/s10479-009-0536-1Search in Google Scholar
Development Planning Division (MOE, PRC), China Education Statistical Yearbook, People’s Education Press, Beijing, 2010, 2011, 2012, 2013, 2014.Development Planning Division (MOE, PRC), China Education Statistical Yearbook, People’s Education PressBeijing2010201120122013, 2014Search in Google Scholar
Färe, R., Grosskopf, S., Lindgren, B., & Roos, P. (1989). Productivity developments in Swedish hospitals: A malmquist output index approach. In: Data envelopment analysis: Theory, methodology and applications. Charnes A, Cooper WW, Lewin A, Seiford L (eds.) Quorum Books.FäreR.GrosskopfS.LindgrenB.RoosP.1989Productivity developments in Swedish hospitals: A malmquist output index approach. Data envelopment analysis: Theory, methodology and applicationsCharnesACooperWWLewinASeifordLQuorum BooksSearch in Google Scholar
Färe, R., Grosskopf, S., & Lovell, C.A.K. (1994). Production frontiers. Cambridge, UK: Cambridge University Press.FäreR.GrosskopfS.LovellC.A.K.1994Production frontiersCambridge, UKCambridge University PressSearch in Google Scholar
Färe, R., Grosskopf, S., & Margaritis, D. (2006). Productivity growth and convergence in the European Union. Journal of Productivity Analysis, 25(1–2), 111–141.FäreR.GrosskopfS.MargaritisD.2006Productivity growth and convergence in the European UnionJournal of Productivity Analysis251–211114110.1007/s11123-006-7134-xSearch in Google Scholar
Glass, J.C., McCallion, G., McKillop, D.G., Rasaratnama, S., & Stringer, K.S. (2006). Implications of variant efficiency measures for policy evaluations in UK higher education. Socio-Economic Planning Sciences, 40, 119 -142.GlassJ.C.McCallionG.McKillopD.G.RasaratnamaS.StringerK.S.2006Implications of variant efficiency measures for policy evaluations in UK higher educationSocio-Economic Planning Sciences4011914210.1016/j.seps.2004.10.004Search in Google Scholar
Johnes, G. (2013). Efficiency in English higher education institutions revisited: a network approach. Economics Bulletin, 33, 2698–2706.JohnesG.2013Efficiency in English higher education institutions revisited: a network approachEconomics Bulletin3326982706Search in Google Scholar
Liu, X., & Zhi, T. (2012). China is catching up in science and innovation: the experience of the Chinese academy of sciences. Science & Public Policy, 37(5), 331–342.LiuX.ZhiT.2012China is catching up in science and innovation: the experience of the Chinese academy of sciencesScience & Public Policy37533134210.3152/030234210X501162Search in Google Scholar
Luo, L.P., & Wang, D.H. (2007). A review of the Chinese higher education evaluation center. Journal of MultiDisciplinary Evaluation, 4(7), 92–93.LuoL.P.WangD.H.2007A review of the Chinese higher education evaluation centerJournal of MultiDisciplinary Evaluation479293Search in Google Scholar
Malmquist, S. (1953). Index numbers and indifference surfaces. Trabajos de Estadistica, 4, 209–242.MalmquistS.1953Index numbers and indifference surfacesTrabajos de Estadistica420924210.1007/BF03006863Search in Google Scholar
Merton, R.K. (1957). Priorities in scientific discovery: a chapter in the sociology of science. American Sociological Review, 22(6), 635–659.MertonR.K.1957Priorities in scientific discovery: a chapter in the sociology of scienceAmerican Sociological Review22663565910.2307/2089193Search in Google Scholar
Merton, R.K. (1968). The Matthew effect in science. Science, 159, 56–63.MertonR.K.1968The Matthew effect in scienceScience159566310.1126/science.159.3810.56Search in Google Scholar
Odeck, J. (2000). Assessing the relative efficiency and productivity growth of vehicle inspection services: an application of DEA and Malmquist indices. European Journal of Operational Research, 126(3), 501–514.OdeckJ.2000Assessing the relative efficiency and productivity growth of vehicle inspection services: an application of DEA and Malmquist indicesEuropean Journal of Operational Research126350151410.1016/S0377-2217(99)00305-7Search in Google Scholar
OECD (2018), Gross domestic spending on R&D (indicator). DOI: 10.1787/d8b068b4-enOECD2018Gross domestic spending on R&D (indicator)10.1787/d8b068b4-enOpen DOISearch in Google Scholar
Pastor, J.T., & Lovell, C. A.K. (2005). A global Malmquist productivity index. Economic Letter, 88, 266–271.PastorJ.T.LovellC. A.K.2005A global Malmquist productivity indexEconomic Letter8826627110.1016/j.econlet.2005.02.013Search in Google Scholar
Quan, W., Chen, B., & Shu, F. (2017). Publish or impoverish: An investigation of the monetary reward system of science in China (1999–2016). Aslib Journal of Information Management, 69(5), 486–502.QuanW.ChenB.ShuF.2017Publish or impoverish: An investigation of the monetary reward system of science in China (1999–2016)Aslib Journal of Information Management69548650210.1108/AJIM-01-2017-0014Search in Google Scholar
Research group of competitiveness analysis of Chinese basic research of National Science Library. (2015). Blue Book of Basic Research Competitiveness for China in 2015. Beijing. (in Chinese). Retrieved from https://wenku.baidu.com/view/47b52fbf6bd97f192379e964.htmlResearch group of competitiveness analysis of Chinese basic research of National Science Library2015Blue Book of Basic Research Competitiveness for China in 2015Beijing. (in Chinese)Retrieved fromhttps://wenku.baidu.com/view/47b52fbf6bd97f192379e964.htmlSearch in Google Scholar
Rousseau, S., & Rousseau, R. (1997). Data envelopment analysis as a tool for constructing scientometric indicators. Scientometrics, 40(1), 45–56.RousseauS.RousseauR.1997Data envelopment analysis as a tool for constructing scientometric indicatorsScientometrics401455610.1007/BF02459261Search in Google Scholar
Schmoch, U., & Schubert, T. (2009). Sustainability of incentives for excellent research – The German case. Scientometrics, 81, 195–218.SchmochU.SchubertT.2009Sustainability of incentives for excellent research – The German caseScientometrics8119521810.1007/s11192-009-2127-ySearch in Google Scholar
Schmoch, U., Schubert, T., Jansen, D., Heidler, R., & Görtz, R.V. (2010). How to use indicators to measure scientific performance: A balanced approach. Research Evaluation, 19(1), 2–18.SchmochU.SchubertT.JansenD.HeidlerR.GörtzR.V.2010How to use indicators to measure scientific performance: A balanced approachResearch Evaluation19121810.3152/095820210X492477Search in Google Scholar
Schubert, T. (2009). Empirical observations on new public management to increase efficiency in public research - Boon or bane? Research Policy, 38, 1225–1234.SchubertT.2009Empirical observations on new public management to increase efficiency in public research - Boon or bane? Research Policy381225123410.1016/j.respol.2009.06.007Search in Google Scholar
Schubert, T. (2014). Are there scale economies in scientific production? On the topic of locally increasing returns to scale. Scientometrics, 99, 393–408.SchubertT.2014Are there scale economies in scientific production? On the topic of locally increasing returns to scaleScientometrics9939340810.1007/s11192-013-1207-1Search in Google Scholar
Shephard, R.W. (1970). Theory of costs and production functions. Princeton, New Jersey: Princeton University Press.ShephardR.W.1970Theory of costs and production functionsPrinceton, New JerseyPrinceton University PressSearch in Google Scholar
Singh, S., & Ranjan, P. (2017). Efficiency analysis of non-homogeneous parallel sub-unit systems for the performance measurement of higher education. Annals of Operations Research, (1), 1–26. doi: 10.1007/s10479-017-2586-0SinghS.RanjanP.2017Efficiency analysis of non-homogeneous parallel sub-unit systems for the performance measurement of higher educationAnnals of Operations Research112610.1007/s10479-017-2586-0Open DOISearch in Google Scholar
Thanassoulis, E., Kortelainen, M., Johnes, G., & Johnes, J. (2011). Costs and efficiency of higher education institutions in England: A DEA analysis. Journal of the Operational Research Society, 62(7), 1282–1297.ThanassoulisE.KortelainenM.JohnesG.JohnesJ.2011Costs and efficiency of higher education institutions in England: A DEA analysisJournal of the Operational Research Society6271282129710.1057/jors.2010.68Search in Google Scholar
Tone, K. (2004). Malmquist productivity index: Efficiency change over time. In: Cooper, W.W., Seiford, L.M., Zhu, J., Handbook on Data Envelopment Analysis, Norwell Mass., Kluwer Academic Publishers.ToneK.2004Malmquist productivity index: Efficiency change over timeCooperW.W.SeifordL.M.ZhuJ.Handbook on Data Envelopment Analysis, Norwell MassKluwer Academic PublishersSearch in Google Scholar
Wolszczak-Derlacz, J. (2017). An evaluation and explanation of (in)efficiency in higher education institutions in Europe and the US with the application of two-stage semi-parametric DEA. Research Policy, 46(9), 1595–1605.Wolszczak-DerlaczJ.2017An evaluation and explanation of (in)efficiency in higher education institutions in Europe and the US with the application of two-stage semi-parametric DEAResearch Policy4691595160510.1016/j.respol.2017.07.010Search in Google Scholar
Worthington, A.C., & Lee, B.L. (2008). Efficiency, technology and productivity in Australian universities, 1998–2003. Economics of Education Review, 27, 285–298.WorthingtonA.C.LeeB.L.2008Efficiency, technology and productivity in Australian universities, 1998–2003Economics of Education Review2728529810.1016/j.econedurev.2006.09.012Search in Google Scholar
Yang, G.L., Rousseau, R., Yang, L.Y., & Liu, W.B. (2014). A study on directional returns to scale. Journal of Informetrics, 8(3), 628–641.YangG.L.RousseauR.YangL.Y.LiuW.B.2014A study on directional returns to scaleJournal of Informetrics8362864110.1016/j.joi.2014.05.004Search in Google Scholar
Yong, S.L. (1996). ‘Technology transfer’ and the research university: A search for the boundaries of university-industry collaboration. Research Policy, 25(6), 843–863.YongS.L.1996‘Technology transfer’ and the research university: A search for the boundaries of university-industry collaborationResearch Policy25684386310.1016/0048-7333(95)00857-8Search in Google Scholar
Zhang, D.Q., Banker, R.D., Li, X.X., & Liu, W.B. (2011). Performance impact of research policy at the Chinese Academy of Sciences. Research Policy, 40, 875–885.ZhangD.Q.BankerR.D.LiX.X.LiuW.B.2011Performance impact of research policy at the Chinese Academy of SciencesResearch Policy4087588510.1016/j.respol.2011.03.010Search in Google Scholar
