Abstract
In this paper, we analyze whether structured PhD programs operate at optimal size and whether there are differences between different disciplinary fields. Theoretically, we postulate that the relation between the size of a PhD program and program performance is hump shaped. For our empirical analysis, we use hand-collected data on 86 Research Training Groups (RTGs) funded by the German Research Foundation (DFG). As performance indicators, we use (a) the number of completed PhDs and (b) the number of publications by RTG students (PhD students and postdoctoral researchers). Applying DEA with constant and variable returns to scale, we find that the optimal team size varies between 10 and 16 RTG students in the humanities and social sciences. In contrast, our empirical analysis does not uncover a systematic relation between size and performance for RTGs in the natural and life sciences.
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Notes
When including further performance dimensions, the latter, however, do find a significant link between size and performance.
All of the RTGs are based at German universities. Four of them are located at more than one German university (“Gemeinschaftskollegs”), 20 are part of an international cooperation network (“internationale Kollegs”).
It is important to note that we cannot compare the efficiency values of RTGs in the humanities and social sciences with those of RTGs in the natural and life sciences since the number of units included in the analysis influences the efficiency values and since there are more observations from the natural and life sciences in our data set (58 as opposed to 28 from the humanities and social sciences).
References
Abbott, Malcolm, and Chris Doucouliagos. 2003. The efficiency of Australian universities: a data envelopment analysis. Economics of Education Review 22:89–97.
Ahn, Heinz, Harald Dyckhoff, and Roland Gilles. 2007. Datenaggregation zur Leistungsbeurteilung durch Ranking: Vergleich der CHE- und DEA-Methodik sowie Ableitung eines Kompromissansatzes. Schmalenbachs Zeitschrift für betriebswirtschaftliche Forschung 77:615–643.
Albers, Sönke. 2015. What drives publication productivity in German business faculties? Schmalenbach Business Review 67:6–33.
Athanassopoulos, Antreas D., and Estelle Shale. 1997. Assessing the comparative efficiency of higher education institutions in the UK by means of data envelopment analysis. Education Economics 5:117–134.
Audretsch, David B., Erik E. Lehmann, and Susanne Warning. 2004. University spillovers: does the kind of science matter? Industry and Innovation 11:193–205.
Banker, Rajiv D., Abraham Charnes, and William W. Cooper. 1984. Some models for estimating technical and scale inefficiencies in data envelopment analysis. Management Science 30:1078–1092.
Bedeian, Arthur G., et al, 2010. Doctoral degree prestige and the academic marketplace: a study of career mobility within the management discipline. Academy of Management Learning and Education 9:11–25.
Biglan, Anthony. 1973. Relationships between subject matter characteristics and the structure and output of university departments. Journal of Applied Psychology 57:204–213.
Black, Grant C., and E. Stephan Paula. 2010. The economics of university science and the role of foreign graduate students and postdoctoral scholars. American universities in a global market., 129–161. Chicago: University of Chicago Press.
Bonaccorsi, Andrea, and Cinzia Daraio. 2005. Exploring size and agglomeration effects on public research productivity. Scientometrics 63:87–120.
Bowen, William G., and Neil L. Rudenstine. 1992. In pursuit of the Ph.D. Princeton: Princeton University Press.
Brandt, Tasso, and Torben Schubert. 2013. Is the university model an organizational necessity? Scale and agglomeration effects in science. Scientometrics 94:541–565.
Breneman, David W. 1976. The Ph.D. production process. In Education as an industry, ed. Joseph T. Froomkin, Dean T. Jaminson, and Roy Radner, 3–52. Cambridge: Ballinger.
Breuninger, Susanne, Kerstin Pull, and Birgit Pferdmenges. 2012. Like father(s), like son(s) – does the relation between advisor and student productivity persist on group level? German Journal of Research in Human Resource Management – Zeitschrift für Personalforschung 26:331–345.
Brown, Kathryn S. 1996. The key to Academic bliss can be found in large or small departments. The Scientist 10(1996):15–16.
Carayol, Nicolas, and Mireille Matt. 2004. Does research organization influence academic production? Laboratory level evidence from a large European university. Research Policy 33:1081–1102.
Charnes, Abraham, William W. Cooper, and Edward Rhodes. 1978. Measuring the efficiency of decision making units. European Journal of Operational Research 2:429–444.
Cherchye, Laurens, and Piet Vanden Abeele. 2005. On research efficiency. A micro-analysis of Dutch university research in economics and business management. Research Policy 34:495–516.
Clermont, Marcel, Alexander Dirksen, and Harald Dyckhoff. 2015. Returns to scale of business administration research performance in Germany. Scientometrics 103:583–614.
Cohen, Joel E. 1981. Publication rate as a function of laboratory size in a biomedical research institution. Scientometrics 3:467–487.
Cohn, Elchanan, Sherry L.W. Rhine, and Maria C. Santos. 1989. Institutions of higher education as multi-product forms: economies of scale and scope. Review of Economics and Statistics 71:284–290.
Cooper, William W., Lawrence M. Seiford, and Kaoru Tone. 2006. Introduction to data envelopment analysis and its uses. New York: Springer.
Dundar, Halil, and Darrell R. Kaoru. 1998. Determinants of research productivity in higher education. Research in Higher Education 39:607–631.
Dyckhoff, Harald, et al, 2013. Measuring balanced effectiveness and efficiency of German business schools’ research performance. Zeitschrift für Betriebswirtschaft 2013(Special Issue 3):39–60.
Dyckhoff, Harald, Sylvia Rassenhövel, and Kirsten Sandfort. 2009. Empirische Produktionsfunktion betriebswirtschaftlicher Forschung: Eine Analyse der Daten des Centrums für Hochschulentwicklung. Schmalenbachs Zeitschrift für betriebswirtschaftliche Forschung 61:22–56.
Egghe, Leo, Ronald Rousseau, and Guido van Hooydonk. 2000. Methods for accrediting publications to authors or countries: consequences for evaluation studies. Journal of the American Society for Information Science 51:145–157.
Fandel, Günter. 2007. On the performance of universities in North Rhine-Westphalia, Germany: government’s redistribution of funds judged using DEA efficiency measures. European Journal of Operational Research 176:521–533.
Gellert, Claudius. 1993. The conditions of research and training in contemporary German universities. In The research foundations of graduate education, ed. R. Clark Burton, 45–66. Berkeley: University of California Press.
Groot, Tom, and Teresa García-Valderrama. 2006. Research quality and efficiency. An analysis of assessments and management issues in Dutch economics and business research programs. Research Policy 35:1362–1376.
De Groot, Hans, Walter W. McMahon, and J. Fredericks Volkwein. 1991. The cost structure of American research universities. Review of Economics and Statistics 73:424–451.
Hagstrom, W.O. 1964. Anomy in scientific communities. Social Problems 12:186–195.
Lawrence, Hamilton C. 2006. Statistics with STATA. Belmont: Thomson, Brooks/Cole.
Johnes, Jill, and Geraint Johnes. 1995. Research funding and performance in U.K. university departments of economics: a frontier analysis. Economics of Education Review 14:301–314.
Knorr-Cetina, Karin. 1992. The couch, the cathedral, and the laboratory: on the relationship between experiment and laboratory science. In Science as practice and culture, ed. Andrew Pickering, 113–138. Chicago, London: University of Chicago Press.
Korhonen, Pekka, Risto Tainio, and Jyrki Wallenius. 2001. Value efficiency analysis of academic research. European Journal of Operational Research 130:121–132.
Kyvik, Svein. 1995. Are big university departments better than small ones? Higher Education 30:295–304.
Laband, David N., and Bernard F. Lentz. 2003. New estimates of economies of scale and scope in higher education. Southern Economic Journal 70:172–183.
Laband, David N., and Robert D. Tollison. 2000. Intellectual collaboration. Journal of Political Ecomnomy 108:632–662.
Lloyd, Peter J., Margaret H. Morgan, and Ross A. Williams. 1993. Amalgamations of universities: are there economies of size and scope? Applied Economics 25:1081–1092.
Main, Joyce B. 2014. Gender homophily, Ph.D. completion, and time to degree in the humanities and humanistic social sciences. The Review of Higher Education 37:349–375.
McMillan, Melville L., and Debasish Datta. 1998. The relative efficiencies of Canadian universities: a DEA perspective. Canadian Public Policy – Analyse de Politiques 24:485–511.
Nazarko, Joaniscjusz, and Jonas Saparauskas. 2014. Application of DEA method in efficiency evaluation of public higher education institutions. Technological and Economic Development of Economy 20:25–44.
Ng, Ying Chu, and Sung Ko Li. 2000. Measuring the research performance of Chinese higher education institutions: an application of data envelopment analysis. Education Economics 8:139–156.
Nuijten, E. 2011. Combining research styles of the natural and social sciences in agricultural research. NJAS-Wageningen Journal of Life Sciences 57:197–205.
Powell, Stuart, and Howard Green. 2007. The doctorate worldwide. Maidenhead: Open University Press.
Pull, Kerstin, Birgit Pferdmenges, and Uschi Backes-Gellner. 2016. Composition of junior research groups and PhD completion rate: disciplinary differences and policy implications. Studies in Higher Education 41:2061–2077.
Sadlak, Jan. 2004. Doctoral studies and qualifications in Europe and the United States: Status and prospects. Bukarest: UNESCO-CEPES.
Snow, Charles P. 1964. The two cultures: and a second look. An expanded version of the two cultures and the scientific revolution. Cambridge: University Press.
Stanford University. 2014. “How Is Humanities Research Conducted”. http://shc.stanford.edu/how-humanities-research-conducted. Accessed October 23, 2014.
Stephan, Paula E. 1996. The economics of science. Journal of Economic Literature 34:1199–1235.
Unger, Birgit, Kerstin Pull, and Uschi Backes-Gellner. 2010. The performance of German research training groups in different disciplines: an empirical analysis. In Governance and performance in the German public research sector: disciplinary differences, ed. Dorothea Dordrecht Jansen, 93–106. Heidelberg, Berlin: Springer.
Verbree, Maaike, et al, 2015. Organizational factors influencing scholarly performance: a multivariate study of biomedical research groups. Scientometrics 102:25–49.
Van der Wal, René, et al, 2009. Is bigger necessarily better for environmental research? Scientometrics 78:317–322.
Wanner, Richard A., Lionel S. Lewis, and David I. Gregorio. 1981. Research productivity in academia: a comparative study of the sciences, social sciences and humanities. Sociology of Education 54:238–253.
Warning, Susanne. 2004. Performance differences in German higher education: empirical analysis of strategic groups. Review of Industrial Organization 24:393–408.
Warning, Susanne. 2007. The Economic Analysis of Universities. Strategic Groups and Positioning. Cheltenham, Northhampton: Elgar.
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Pull, K., Pferdmenges, B. & Backes-Gellner, U. Do Research Training Groups Operate at Optimal Size?. Schmalenbach Bus Rev 18, 129–145 (2017). https://doi.org/10.1007/s41464-017-0029-8
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DOI: https://doi.org/10.1007/s41464-017-0029-8