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Published in: Health Research Policy and Systems 1/2017

Open Access 01-12-2017 | Review

Economies of scale and scope in publicly funded biomedical and health research: evidence from the literature

Authors: Karla Hernandez-Villafuerte, Jon Sussex, Enora Robin, Sue Guthrie, Steve Wooding

Published in: Health Research Policy and Systems | Issue 1/2017

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Abstract

Background

Publicly funded biomedical and health research is expected to achieve the best return possible for taxpayers and for society generally. It is therefore important to know whether such research is more productive if concentrated into a small number of ‘research groups’ or dispersed across many.

Methods

We undertook a systematic rapid evidence assessment focused on the research question: do economies of scale and scope exist in biomedical and health research? In other words, is that research more productive per unit of cost if more of it, or a wider variety of it, is done in one location? We reviewed English language literature without date restriction to the end of 2014. To help us to classify and understand that literature, we first undertook a review of econometric literature discussing models for analysing economies of scale and/or scope in research generally (not limited to biomedical and health research).

Results

We found a large and disparate literature. We reviewed 60 empirical studies of (dis-)economies of scale and/or scope in biomedical and health research, or in categories of research including or overlapping with biomedical and health research. This literature is varied in methods and findings. At the level of universities or research institutes, studies more often point to positive economies of scale than to diseconomies of scale or constant returns to scale in biomedical and health research. However, all three findings exist in the literature, along with inverse U-shaped relationships. At the level of individual research units, laboratories or projects, the numbers of studies are smaller and evidence is mixed. Concerning economies of scope, the literature more often suggests positive economies of scope than diseconomies, but the picture is again mixed. The effect of varying the scope of activities by a research group was less often reported than the effect of scale and the results were more mixed.

Conclusions

The absence of predominant findings for or against the existence of economies of scale or scope implies a continuing need for case by case decisions when distributing research funding, rather than a general policy either to concentrate funding in a few centres or to disperse it across many.
Literature
1.
go back to reference Department for Business, Innovation and Skills (BIS). Strategy for UK Life Sciences. London: BIS – Office for Life Sciences; 2011. Department for Business, Innovation and Skills (BIS). Strategy for UK Life Sciences. London: BIS – Office for Life Sciences; 2011.
2.
go back to reference Department of Health. Best Research for Best Health. A New National Health Research Strategy. London: Department of Health; 2006. Department of Health. Best Research for Best Health. A New National Health Research Strategy. London: Department of Health; 2006.
3.
go back to reference Mestre-Ferrandiz J, Sussex J, Towse A. The R&D cost of a new medicine. London: Office of Health Economics; 2012. Mestre-Ferrandiz J, Sussex J, Towse A. The R&D cost of a new medicine. London: Office of Health Economics; 2012.
4.
go back to reference Varker T, Forbes D, Dell L, Weston A, Merlin T, Hodson S, O’Donnell M. Rapid evidence assessment: increasing the transparency of an emerging methodology. J Eval Clin Pract. 2015;21(6):1199–204.CrossRefPubMed Varker T, Forbes D, Dell L, Weston A, Merlin T, Hodson S, O’Donnell M. Rapid evidence assessment: increasing the transparency of an emerging methodology. J Eval Clin Pract. 2015;21(6):1199–204.CrossRefPubMed
5.
go back to reference Gough D. Weight of evidence: a framework for the appraisal of the quality and relevance of evidence. Res Pap Educ. 2007;22:213–28.CrossRef Gough D. Weight of evidence: a framework for the appraisal of the quality and relevance of evidence. Res Pap Educ. 2007;22:213–28.CrossRef
7.
go back to reference Arora A, Gambardella A, Magazzini L, Pammolli F. A breath of fresh air? Firm type, scale, scope, and selection effects in drug development. Manag Sci. 2009;55:1638–53.CrossRef Arora A, Gambardella A, Magazzini L, Pammolli F. A breath of fresh air? Firm type, scale, scope, and selection effects in drug development. Manag Sci. 2009;55:1638–53.CrossRef
8.
go back to reference Brahm F, Tarziján J. The impact of complexity and managerial diseconomies on hierarchical governance. J Econ Behav Organ. 2012;84:586–99.CrossRef Brahm F, Tarziján J. The impact of complexity and managerial diseconomies on hierarchical governance. J Econ Behav Organ. 2012;84:586–99.CrossRef
9.
go back to reference Plotnikova T. Success in pharmaceutical research: the changing role of scale and scope economies, spillovers and competition. Jena: Friedrich Schiller University and the Max Planck Institute of Economics; 2010. Plotnikova T. Success in pharmaceutical research: the changing role of scale and scope economies, spillovers and competition. Jena: Friedrich Schiller University and the Max Planck Institute of Economics; 2010.
10.
go back to reference Shakina E, Barajas A. Value creation through intellectual capital in developed European markets. J Econ Stud. 2014;41:272–91.CrossRef Shakina E, Barajas A. Value creation through intellectual capital in developed European markets. J Econ Stud. 2014;41:272–91.CrossRef
11.
go back to reference De PK, Nagaraj P. Productivity and firm size in India. Small Bus Econ. 2014;42:891–907.CrossRef De PK, Nagaraj P. Productivity and firm size in India. Small Bus Econ. 2014;42:891–907.CrossRef
12.
go back to reference Baumol WJ, Panzar JC, Willig RD. Contestable markets and the theory of industry structure. New York: Harcourt Brace Jovanovich, Inc; 1982. Baumol WJ, Panzar JC, Willig RD. Contestable markets and the theory of industry structure. New York: Harcourt Brace Jovanovich, Inc; 1982.
13.
go back to reference Sav GT. Panel data estimates of public higher education scale and scope economies. Atl Econ J. 2011;39:143–53.CrossRef Sav GT. Panel data estimates of public higher education scale and scope economies. Atl Econ J. 2011;39:143–53.CrossRef
14.
go back to reference Agasisti T, Johnes G. Heterogeneity and the evaluation of efficiency: the case of Italian universities. Appl Econ. 2010;42:1365–75.CrossRef Agasisti T, Johnes G. Heterogeneity and the evaluation of efficiency: the case of Italian universities. Appl Econ. 2010;42:1365–75.CrossRef
15.
go back to reference Johnes G, Johnes J. Higher education institutions’ costs and efficiency: taking the decomposition a further step. Econ Educ Rev. 2009;28:107–13.CrossRef Johnes G, Johnes J. Higher education institutions’ costs and efficiency: taking the decomposition a further step. Econ Educ Rev. 2009;28:107–13.CrossRef
16.
go back to reference Johnes G, Schwarzenberger A. Differences in cost structure and the evaluation of efficiency: the case of German universities. Educ Econ. 2011;19:487–99.CrossRef Johnes G, Schwarzenberger A. Differences in cost structure and the evaluation of efficiency: the case of German universities. Educ Econ. 2011;19:487–99.CrossRef
17.
go back to reference Sav GT. Managing public higher education restructuring: understanding college and university cost structures. Management. 2010;15:1–23. Sav GT. Managing public higher education restructuring: understanding college and university cost structures. Management. 2010;15:1–23.
18.
go back to reference Duch-Brown N, Parellada-Sabata M. Economies of scale and scope of university research and technology transfer: a flexible multi-product approach, vol. 2010/51. Barcelona: Institut d’Economia de Barcelona (IEB); 2010. Duch-Brown N, Parellada-Sabata M. Economies of scale and scope of university research and technology transfer: a flexible multi-product approach, vol. 2010/51. Barcelona: Institut d’Economia de Barcelona (IEB); 2010.
19.
go back to reference Mamun SAK. Stochastic estimation of cost frontier: evidence from Bangladesh. Educ Econ. 2012;20:211–27.CrossRef Mamun SAK. Stochastic estimation of cost frontier: evidence from Bangladesh. Educ Econ. 2012;20:211–27.CrossRef
20.
go back to reference Martins R, Coelho F, Fortunato A. Water losses and hydrographical regions influence on the cost structure of the Portuguese water industry. J Prod Anal. 2012;38:81–94.CrossRef Martins R, Coelho F, Fortunato A. Water losses and hydrographical regions influence on the cost structure of the Portuguese water industry. J Prod Anal. 2012;38:81–94.CrossRef
21.
go back to reference Chavas J-P, Barham B, Foltz J, Kim K. Analysis and decomposition of scope economies: R&D at US research universities. Appl Econ. 2012;44:1387–404.CrossRef Chavas J-P, Barham B, Foltz J, Kim K. Analysis and decomposition of scope economies: R&D at US research universities. Appl Econ. 2012;44:1387–404.CrossRef
22.
go back to reference Schubert T. Are there scale economies in scientific production? On the topic of locally increasing returns to scale. Scientometrics. 2014;99:393–408.CrossRef Schubert T. Are there scale economies in scientific production? On the topic of locally increasing returns to scale. Scientometrics. 2014;99:393–408.CrossRef
23.
go back to reference Pope B, Johnson A. Returns to scope: a metric for production synergies demonstrated for hospital production. J Prod Anal. 2013;40:239–50.CrossRef Pope B, Johnson A. Returns to scope: a metric for production synergies demonstrated for hospital production. J Prod Anal. 2013;40:239–50.CrossRef
24.
go back to reference Ferrier GD, Leleu H, Moises J, Valdmanis V. The size and service offering efficiencies of U.S. hospitals, vol. 2009-ECO-09. Paris: IESEG School of Management; 2009. Ferrier GD, Leleu H, Moises J, Valdmanis V. The size and service offering efficiencies of U.S. hospitals, vol. 2009-ECO-09. Paris: IESEG School of Management; 2009.
25.
go back to reference Ferrier GD, Leleu H, Moises J, Valdmanis VG. The focus efficiency of U.S. hospitals. Atl Econ J. 2013;41:241–63.CrossRef Ferrier GD, Leleu H, Moises J, Valdmanis VG. The focus efficiency of U.S. hospitals. Atl Econ J. 2013;41:241–63.CrossRef
26.
go back to reference De Witte K, Rogge N, Cherchye L, Van Puyenbroeck T. Economies of scope in research and teaching: a non-parametric investigation. Omega. 2013;41:305–14.CrossRef De Witte K, Rogge N, Cherchye L, Van Puyenbroeck T. Economies of scope in research and teaching: a non-parametric investigation. Omega. 2013;41:305–14.CrossRef
28.
go back to reference Cardamone P. A micro-econometric analysis of the role of R&D spillovers using a nonlinear translog specification. J Prod Anal. 2012;37:41–58.CrossRef Cardamone P. A micro-econometric analysis of the role of R&D spillovers using a nonlinear translog specification. J Prod Anal. 2012;37:41–58.CrossRef
29.
go back to reference Hadad Y, Friedman L, Rybalkin V, Sinuany-Stern Z. The relationship between DEA efficiency and the type of production function, the degree of homogeneity, and error variability. CEJOR. 2013;21:595–607.CrossRef Hadad Y, Friedman L, Rybalkin V, Sinuany-Stern Z. The relationship between DEA efficiency and the type of production function, the degree of homogeneity, and error variability. CEJOR. 2013;21:595–607.CrossRef
30.
go back to reference Podinovski VV, Førsund FR. Differential characteristics of efficient frontiers in Data Envelopment Analysis. Oper Res. 2010;58:1743–54.CrossRef Podinovski VV, Førsund FR. Differential characteristics of efficient frontiers in Data Envelopment Analysis. Oper Res. 2010;58:1743–54.CrossRef
31.
go back to reference Spanos YE, Vonortas NS. Scale and performance in publicly funded collaborative research and development. R&D Manag. 2012;42:494–513.CrossRef Spanos YE, Vonortas NS. Scale and performance in publicly funded collaborative research and development. R&D Manag. 2012;42:494–513.CrossRef
32.
go back to reference Kretschmer H. Cooperation structure, group size and productivity in research groups. Scientometrics. 1985;7:39–53.CrossRef Kretschmer H. Cooperation structure, group size and productivity in research groups. Scientometrics. 1985;7:39–53.CrossRef
33.
go back to reference Kenna R, Berche B. Critical mass and the dependency of research quality on group size. Scientometrics. 2011;86:527–40.CrossRef Kenna R, Berche B. Critical mass and the dependency of research quality on group size. Scientometrics. 2011;86:527–40.CrossRef
34.
go back to reference Bauer HPW, Schui G, von Eye A, Krampen G. How does scientific success relate to individual and organizational characteristics? A scientometric study of psychology researchers in the German-speaking countries. Scientometrics. 2013;94:523–39.CrossRef Bauer HPW, Schui G, von Eye A, Krampen G. How does scientific success relate to individual and organizational characteristics? A scientometric study of psychology researchers in the German-speaking countries. Scientometrics. 2013;94:523–39.CrossRef
35.
go back to reference Heale J-P, Shapiro D, Egri CP. The determinants of research output in academic biomedical laboratories. Int J Biotechnol. 2004;6:134–54.CrossRef Heale J-P, Shapiro D, Egri CP. The determinants of research output in academic biomedical laboratories. Int J Biotechnol. 2004;6:134–54.CrossRef
36.
go back to reference Sav GT. Productivity, efficiency, and managerial performance regress and gains in United States universities: a Data Envelopment Analysis. Adv Manag Appl Econ. 2012;2:13–32. Sav GT. Productivity, efficiency, and managerial performance regress and gains in United States universities: a Data Envelopment Analysis. Adv Manag Appl Econ. 2012;2:13–32.
37.
go back to reference Sav GT. Higher education costs and scale and scope economies. Appl Econ. 2004;36:607–14.CrossRef Sav GT. Higher education costs and scale and scope economies. Appl Econ. 2004;36:607–14.CrossRef
38.
go back to reference Bonaccorsi A, Daraio C. A robust nonparametric approach to the analysis of scientific productivity. Research Evaluation. 2003;12:47–69.CrossRef Bonaccorsi A, Daraio C. A robust nonparametric approach to the analysis of scientific productivity. Research Evaluation. 2003;12:47–69.CrossRef
40.
go back to reference Rhoten D. A multi-method analysis of the social and technical conditions for interdisciplinary collaboration. San Francisco: The Hybrid Vigor Institute; 2003. Rhoten D. A multi-method analysis of the social and technical conditions for interdisciplinary collaboration. San Francisco: The Hybrid Vigor Institute; 2003.
41.
go back to reference Foltz JD, Barham BL, Kim K. Synergies or trade-offs in university life sciences research. Am J Agric Econ. 2007;89:353–67.CrossRef Foltz JD, Barham BL, Kim K. Synergies or trade-offs in university life sciences research. Am J Agric Econ. 2007;89:353–67.CrossRef
42.
go back to reference Henderson R, Cockburn I. Scale, scope, and spillovers: the determinants of research productivity in drug discovery. RAND J Econ. 1996;27:32–59.CrossRefPubMed Henderson R, Cockburn I. Scale, scope, and spillovers: the determinants of research productivity in drug discovery. RAND J Econ. 1996;27:32–59.CrossRefPubMed
43.
go back to reference Hoare AG. Scale economies in academic excellence: an exploratory analysis of the United Kingdom’s 1992 research selectivity exercise. High Educ. 1995;29:241–60.CrossRef Hoare AG. Scale economies in academic excellence: an exploratory analysis of the United Kingdom’s 1992 research selectivity exercise. High Educ. 1995;29:241–60.CrossRef
44.
go back to reference Kenna R, Berche B. Managing research quality: critical mass and optimal academic research group size. IMA J Manag Math. 2012;23:195–207.CrossRef Kenna R, Berche B. Managing research quality: critical mass and optimal academic research group size. IMA J Manag Math. 2012;23:195–207.CrossRef
45.
go back to reference Glass CJ, Hyndman NS, McKillop DG. UK universities: a time‐series study of economies of scale and scope in the context of the research assessment exercises. Public Money Manage. 1996;16:59–64.CrossRef Glass CJ, Hyndman NS, McKillop DG. UK universities: a time‐series study of economies of scale and scope in the context of the research assessment exercises. Public Money Manage. 1996;16:59–64.CrossRef
46.
go back to reference Cohn E, Sherrie LWR, Santos MC. Institutions of higher education as multi-product firms: economies of scale and scope. Rev Econ Stat. 1989;71:284–90.CrossRef Cohn E, Sherrie LWR, Santos MC. Institutions of higher education as multi-product firms: economies of scale and scope. Rev Econ Stat. 1989;71:284–90.CrossRef
47.
go back to reference Laband DN, Lentz BF. New estimates of economies of scale and scope in higher education. South Econ J. 2003;70:172–83.CrossRef Laband DN, Lentz BF. New estimates of economies of scale and scope in higher education. South Econ J. 2003;70:172–83.CrossRef
48.
go back to reference de Groot H, McMahon WW, Volkwein JF. The cost structure of American research universities. Rev Econ Stat. 1991;73:424–31.CrossRef de Groot H, McMahon WW, Volkwein JF. The cost structure of American research universities. Rev Econ Stat. 1991;73:424–31.CrossRef
49.
go back to reference Wolszczak-Derlacz J, Parteka A. Efficiency of European public higher education institutions: a two-stage multicountry approach. Scientometrics. 2011;89:887–917.CrossRefPubMedPubMedCentral Wolszczak-Derlacz J, Parteka A. Efficiency of European public higher education institutions: a two-stage multicountry approach. Scientometrics. 2011;89:887–917.CrossRefPubMedPubMedCentral
50.
go back to reference King WD. Input and output substitution in higher education. Econ Lett. 1997;57:107–11.CrossRef King WD. Input and output substitution in higher education. Econ Lett. 1997;57:107–11.CrossRef
51.
go back to reference Olivares M, Wetzel H. Competing in the higher education market: empirical evidence for economies of scale and scope in German higher education institutions. CESifo Econ Stud. 2014;60(4):653–80.CrossRef Olivares M, Wetzel H. Competing in the higher education market: empirical evidence for economies of scale and scope in German higher education institutions. CESifo Econ Stud. 2014;60(4):653–80.CrossRef
52.
go back to reference Dundar H, Lewis DR. Departmental productivity in American universities: economies of scale and scope. Econ Educ Rev. 1995;14:119–44.CrossRef Dundar H, Lewis DR. Departmental productivity in American universities: economies of scale and scope. Econ Educ Rev. 1995;14:119–44.CrossRef
53.
go back to reference Hinze S, Calvert J, Reiss T, Senker J, Patel P. International benchmarking of biotech research centres. Res Eval. 2003;12:85–9.CrossRef Hinze S, Calvert J, Reiss T, Senker J, Patel P. International benchmarking of biotech research centres. Res Eval. 2003;12:85–9.CrossRef
54.
go back to reference Cherchye L, De Rock B, Vermeulen F. Analyzing cost-efficient production behavior under economies of scope: a nonparametric methodology. Oper Res. 2008;56:204–21.CrossRef Cherchye L, De Rock B, Vermeulen F. Analyzing cost-efficient production behavior under economies of scope: a nonparametric methodology. Oper Res. 2008;56:204–21.CrossRef
55.
go back to reference Glass JC, McCallion G, McKillop DG, Rasaratnam S, Stringer KS. Best-practice benchmarking in UK higher education: new nonparametric approaches using financial ratios and profit efficiency methodologies. Appl Econ. 2009;41:249–67.CrossRef Glass JC, McCallion G, McKillop DG, Rasaratnam S, Stringer KS. Best-practice benchmarking in UK higher education: new nonparametric approaches using financial ratios and profit efficiency methodologies. Appl Econ. 2009;41:249–67.CrossRef
56.
go back to reference Horta H, Lacy TA. How does size matter for science? Exploring the effects of research unit size on academics’ scientific productivity and information exchange behaviors. Sci Public Policy. 2011;38:449–60.CrossRef Horta H, Lacy TA. How does size matter for science? Exploring the effects of research unit size on academics’ scientific productivity and information exchange behaviors. Sci Public Policy. 2011;38:449–60.CrossRef
58.
go back to reference Fu T-T, Huang CJ, Yang Y-L. Quality and economies of scale in higher education: a semiparametric smooth coefficient estimation. Contemp Econ Policy. 2011;29:138–49.CrossRef Fu T-T, Huang CJ, Yang Y-L. Quality and economies of scale in higher education: a semiparametric smooth coefficient estimation. Contemp Econ Policy. 2011;29:138–49.CrossRef
59.
go back to reference Longlong H, Fengliang L, Weifang M. Multi-product total cost functions for higher education: the case of Chinese research universities. Econ Educ Rev. 2009;28:505–11.CrossRef Longlong H, Fengliang L, Weifang M. Multi-product total cost functions for higher education: the case of Chinese research universities. Econ Educ Rev. 2009;28:505–11.CrossRef
62.
go back to reference Yip TL, Lun YHV, Lau YY. Scale diseconomies and efficiencies of liner shipping. Marit Policy Manag. 2012;39:673–83.CrossRef Yip TL, Lun YHV, Lau YY. Scale diseconomies and efficiencies of liner shipping. Marit Policy Manag. 2012;39:673–83.CrossRef
63.
go back to reference Cho S-H, McCardle KF. The adoption of multiple dependent technologies. Oper Res. 2009;57:157–69.CrossRef Cho S-H, McCardle KF. The adoption of multiple dependent technologies. Oper Res. 2009;57:157–69.CrossRef
64.
go back to reference Mayer-Haug K, Read S, Brinckmann J, Dew N, Grichnik D. Entrepreneurial talent and venture performance: a meta-analytic investigation of SMEs. Res Policy. 2013;42:1251–73.CrossRef Mayer-Haug K, Read S, Brinckmann J, Dew N, Grichnik D. Entrepreneurial talent and venture performance: a meta-analytic investigation of SMEs. Res Policy. 2013;42:1251–73.CrossRef
65.
go back to reference Nemoto J, Furumatsu N. Scale and scope economies of Japanese private universities revisited with an input distance function approach. J Prod Anal. 2014;41:213–26.CrossRef Nemoto J, Furumatsu N. Scale and scope economies of Japanese private universities revisited with an input distance function approach. J Prod Anal. 2014;41:213–26.CrossRef
66.
go back to reference Oh D, Heshmati A, Lööf H. Technical change and total factor productivity growth for Swedish manufacturing and service industries. Appl Econ. 2012;44:2373–91.CrossRef Oh D, Heshmati A, Lööf H. Technical change and total factor productivity growth for Swedish manufacturing and service industries. Appl Econ. 2012;44:2373–91.CrossRef
67.
go back to reference Saal DS, Arocena P, Maziotis A, Triebs T. Scale and scope economies and the efficient vertical and horizontal configuration of the water industry: a survey of the literature. Rev Netw Econ. 2013;12:93–129.CrossRef Saal DS, Arocena P, Maziotis A, Triebs T. Scale and scope economies and the efficient vertical and horizontal configuration of the water industry: a survey of the literature. Rev Netw Econ. 2013;12:93–129.CrossRef
68.
go back to reference Bonaccorsi A, Daraio C. The organization of science: size, agglomeration and age effects in scientific productivity. SPRU Conference Rethinking Science Policy, March 21–23, Pisa, Italy: Sant’Anna School of Advanced Studies; 2002. Bonaccorsi A, Daraio C. The organization of science: size, agglomeration and age effects in scientific productivity. SPRU Conference Rethinking Science Policy, March 21–23, Pisa, Italy: Sant’Anna School of Advanced Studies; 2002.
69.
go back to reference Bordons M, Zulueta MA. Comparison of research team activity in two biomedical fields. Scientometrics. 1997;40:423–36.CrossRef Bordons M, Zulueta MA. Comparison of research team activity in two biomedical fields. Scientometrics. 1997;40:423–36.CrossRef
70.
go back to reference Bordons M, Zulueta MA, Barrigón S. Scientific activity of the most productive Spanish research teams in pharmacology and pharmacy during the period 1986–1993 as covered by the Science Citation Index (SCI). Medicina Clinica (Barc). 1998;111:489–95. Bordons M, Zulueta MA, Barrigón S. Scientific activity of the most productive Spanish research teams in pharmacology and pharmacy during the period 1986–1993 as covered by the Science Citation Index (SCI). Medicina Clinica (Barc). 1998;111:489–95.
71.
go back to reference Cohen JE. Publication rate as a function of laboratory size in a biomedical research institution. Scientometrics. 1980;2:35–52.CrossRef Cohen JE. Publication rate as a function of laboratory size in a biomedical research institution. Scientometrics. 1980;2:35–52.CrossRef
72.
go back to reference Cohen JE. Publication rate as a function of laboratory size in three biomedical research institutions. Scientometrics. 1981;3:467–87.CrossRef Cohen JE. Publication rate as a function of laboratory size in three biomedical research institutions. Scientometrics. 1981;3:467–87.CrossRef
73.
go back to reference Gomes UE, De Oliveira DL, Berti LC, Amaral O, Souza DO, Wofchuk ST. 37 years of scientific activity in a Biochemistry Department in Brazil: patterns of growth and factors leading to increased productivity. Ann Bras Acad Sci. 2011;83:1121–30.CrossRef Gomes UE, De Oliveira DL, Berti LC, Amaral O, Souza DO, Wofchuk ST. 37 years of scientific activity in a Biochemistry Department in Brazil: patterns of growth and factors leading to increased productivity. Ann Bras Acad Sci. 2011;83:1121–30.CrossRef
74.
go back to reference Johnes G, Johnes J. Measuring the research performance of UK economics departments: an application of data envelopment analysis. Oxf Econ Pap. 1993;45:332–47. Johnes G, Johnes J. Measuring the research performance of UK economics departments: an application of data envelopment analysis. Oxf Econ Pap. 1993;45:332–47.
75.
go back to reference Mamun SAK. Are public universities of Bangladesh cost efficient? An empirical evidence. South Asia Econ J. 2011;12:221–37.CrossRef Mamun SAK. Are public universities of Bangladesh cost efficient? An empirical evidence. South Asia Econ J. 2011;12:221–37.CrossRef
76.
go back to reference Nag S, Yang H, Buccola S, Ervin D. Productivity and financial support in academic bioscience. Appl Econ. 2013;45:2817–26.CrossRef Nag S, Yang H, Buccola S, Ervin D. Productivity and financial support in academic bioscience. Appl Econ. 2013;45:2817–26.CrossRef
77.
go back to reference Rey-Rocha J, Garzón-García B, Martín-Sempere MJ. Scientists’ performance and consolidation of research teams in biology and biomedicine at the Spanish Council for Scientific Research. Scientometrics. 2006;69:183–212.CrossRef Rey-Rocha J, Garzón-García B, Martín-Sempere MJ. Scientists’ performance and consolidation of research teams in biology and biomedicine at the Spanish Council for Scientific Research. Scientometrics. 2006;69:183–212.CrossRef
78.
go back to reference Stankiewicz R. The size and age of Swedish academic research groups and their scientific performance. In: Andrews FM, editor. Scientific Productivity: The Effectiveness of Research Groups in Six Countries. Paris: UNESCO/Cambridge University Press; 1979. p. 191–222. Stankiewicz R. The size and age of Swedish academic research groups and their scientific performance. In: Andrews FM, editor. Scientific Productivity: The Effectiveness of Research Groups in Six Countries. Paris: UNESCO/Cambridge University Press; 1979. p. 191–222.
79.
go back to reference Cohen JE. Size, age and productivity of scientific and technical research groups. Scientometrics. 1991;20:395–416.CrossRef Cohen JE. Size, age and productivity of scientific and technical research groups. Scientometrics. 1991;20:395–416.CrossRef
80.
go back to reference Heinze T, Shapira P, Rogers JD, Senker JM. Organizational and institutional influences on creativity in scientific research. Res Policy. 2009;38:610–23.CrossRef Heinze T, Shapira P, Rogers JD, Senker JM. Organizational and institutional influences on creativity in scientific research. Res Policy. 2009;38:610–23.CrossRef
81.
go back to reference Johnston R. Effects of resource concentration on research performance. High Educ. 1994;28:25–37.CrossRef Johnston R. Effects of resource concentration on research performance. High Educ. 1994;28:25–37.CrossRef
82.
go back to reference Stokols D, Misra S, Moser RP, Hall KL, Taylor BK. The ecology of team science: understanding contextual influences on transdisciplinary collaboration. Am J Prev Med. 2008;35:S96–S115.CrossRefPubMed Stokols D, Misra S, Moser RP, Hall KL, Taylor BK. The ecology of team science: understanding contextual influences on transdisciplinary collaboration. Am J Prev Med. 2008;35:S96–S115.CrossRefPubMed
84.
go back to reference Carayol N, Matt M. Does research organization influence academic production? Laboratory level evidence from a large European university. Res Policy. 2004;33:1081–102.CrossRef Carayol N, Matt M. Does research organization influence academic production? Laboratory level evidence from a large European university. Res Policy. 2004;33:1081–102.CrossRef
85.
go back to reference von Tunzelmann N, Ranga M, Martin B, Geuna A. The Effects of Size on Research Performance: A SPRU Review. Brighton: SPRU; 2003. von Tunzelmann N, Ranga M, Martin B, Geuna A. The Effects of Size on Research Performance: A SPRU Review. Brighton: SPRU; 2003.
86.
go back to reference Lowry PB, Roberts TL, Romano NC, Cheney PD, Hightower RT. The impact of group size and social presence on small-group communication: does computer-mediated communication make a difference? Small Group Res. 2006;37:631–61.CrossRef Lowry PB, Roberts TL, Romano NC, Cheney PD, Hightower RT. The impact of group size and social presence on small-group communication: does computer-mediated communication make a difference? Small Group Res. 2006;37:631–61.CrossRef
87.
go back to reference Johnes G, Salas-Velasco M. The determinants of costs and efficiencies where producers are heterogeneous: the case of Spanish universities. Econ Bull. 2007;4:1–9.CrossRef Johnes G, Salas-Velasco M. The determinants of costs and efficiencies where producers are heterogeneous: the case of Spanish universities. Econ Bull. 2007;4:1–9.CrossRef
88.
go back to reference Olson JE. Institutional and technical constraints on faculty gross productivity in American doctoral universities. Res High Educ. 1994;35:549–67.CrossRef Olson JE. Institutional and technical constraints on faculty gross productivity in American doctoral universities. Res High Educ. 1994;35:549–67.CrossRef
89.
go back to reference Seglen PO, Aksnes DW. Scientific productivity and group size: a bibliometric analysis of Norwegian microbiological research. Scientometrics. 2000;49:125–43.CrossRef Seglen PO, Aksnes DW. Scientific productivity and group size: a bibliometric analysis of Norwegian microbiological research. Scientometrics. 2000;49:125–43.CrossRef
90.
go back to reference Vonortas N, Polt W, Fisher R, Spanos Y, Dinges M, Ipektsidis B, Pateraki M. Economies of scale and scope at the research project level. Belgium: Publications Office of the European Union (erascope); 2011. Vonortas N, Polt W, Fisher R, Spanos Y, Dinges M, Ipektsidis B, Pateraki M. Economies of scale and scope at the research project level. Belgium: Publications Office of the European Union (erascope); 2011.
91.
go back to reference Abramovsky L, Harrison R, Simpson H. University research and the location of business R&D. Econ J. 2007;117:C114–41.CrossRef Abramovsky L, Harrison R, Simpson H. University research and the location of business R&D. Econ J. 2007;117:C114–41.CrossRef
92.
go back to reference Atkinson P, Batchelor C, Parsons E. Trajectories of collaboration and competition in a medical discovery. Sci Technol Hum Values. 1998;23:259–84.CrossRef Atkinson P, Batchelor C, Parsons E. Trajectories of collaboration and competition in a medical discovery. Sci Technol Hum Values. 1998;23:259–84.CrossRef
93.
go back to reference Beise M, Stahl H. Public research and industrial innovations in Germany. Res Policy. 1999;28:397–422.CrossRef Beise M, Stahl H. Public research and industrial innovations in Germany. Res Policy. 1999;28:397–422.CrossRef
94.
go back to reference Antonio-García MT, López-Navarro I, Rey-Rocha J. Determinants of success for biomedical researchers: a perception-based study in a health science research environment. Scientometrics. 2014;101:1747–79.CrossRef Antonio-García MT, López-Navarro I, Rey-Rocha J. Determinants of success for biomedical researchers: a perception-based study in a health science research environment. Scientometrics. 2014;101:1747–79.CrossRef
95.
go back to reference Bos N, Olson J, Nan N, Shami NS, Hoch S, Johnston E. Collocation blindness in partially distributed groups: is there a downside to being collocated? Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. Montreal: ACM; 2006. p. 1313–21. Bos N, Olson J, Nan N, Shami NS, Hoch S, Johnston E. Collocation blindness in partially distributed groups: is there a downside to being collocated? Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. Montreal: ACM; 2006. p. 1313–21.
96.
go back to reference Chin-Tsai L, Chang-Tzu C. Weighting of performance measures for evaluating government-sponsored research: case study of the Department of Health in Taiwan. Int J Bus Perform Manag. 2007;9:92–105.CrossRef Chin-Tsai L, Chang-Tzu C. Weighting of performance measures for evaluating government-sponsored research: case study of the Department of Health in Taiwan. Int J Bus Perform Manag. 2007;9:92–105.CrossRef
97.
go back to reference Coen SE, Bottorff JL, Johnson JL, Ratner PA. A relational conceptual framework for multidisciplinary health research centre infrastructure. Health Res Policy Syst. 2010;8:29.CrossRefPubMedPubMedCentral Coen SE, Bottorff JL, Johnson JL, Ratner PA. A relational conceptual framework for multidisciplinary health research centre infrastructure. Health Res Policy Syst. 2010;8:29.CrossRefPubMedPubMedCentral
Metadata
Title
Economies of scale and scope in publicly funded biomedical and health research: evidence from the literature
Authors
Karla Hernandez-Villafuerte
Jon Sussex
Enora Robin
Sue Guthrie
Steve Wooding
Publication date
01-12-2017
Publisher
BioMed Central
Published in
Health Research Policy and Systems / Issue 1/2017
Electronic ISSN: 1478-4505
DOI
https://doi.org/10.1186/s12961-016-0167-3

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