References
- Agasisti, T., Catalano, G., Landoni, P., & Verganti, R. (2012). Evaluating the performance of academic departments: An analysis of research-related output efficiency. Research Evaluation, 21(1), 2–14. https://doi.org/https://doi.org/10.1093/reseval/rvr001
- Agasisti, T., & Haelermans, C. (2016). Comparing efficiency of public universities among European countries: Different incentives lead to different performances. Higher Education Quarterly, 70(1), 81–104. https://doi.org/https://doi.org/10.1111/hequ.12066
- Agasisti, T., & Johnes, G. (2009). Beyond frontiers: Comparing the efficiency of higher education decision-making units across more than one country. Education Economics, 18(1), 59–79. https://doi.org/https://doi.org/10.1080/09645290701523291
- Agasisti, T., & Pérez-Esparrells, C. (2010). Comparing efficiency in a cross-country perspective: The case of Italian and Spanish state universities. Higher Education, 59(19), 85–103. https://doi.org/https://doi.org/10.1007/s10734-009-9235-8
- Agasisti, T., & Wolszczak-Derlacz, J. (2014). Exploring universities’ efficiency differentials between countries in a multi-year perspective: An application of bootstrap DEA and Malmquist index to Italy and Poland, 2001–2011. IRLE Working Paper No. 113–14.
- Agrell, P., & Niknazar, P. (2014). Structural and behavioral robustness in applied best-practice regulation. Socio-Economic Planning Sciences, 48(1), 89–103. https://doi.org/https://doi.org/10.1016/j.seps.2013.12.004
- Andersson, C., Antelius, J., Månsson, J., & Sund, K. (2017). Technical efficiency and productivity for higher education institutions in Sweden. Scandinavian Journal of Educational Research, 61(2), 205–223. https://doi.org/https://doi.org/10.1080/00313831.2015.1120230
- Banker, R., & Chang, H. (2006). The super-efficiency procedure for outlier identification, not for ranking efficient units. European Journal of Operational Research, 175(2), 1311–1320. https://doi.org/https://doi.org/10.1016/j.ejor.2005.06.028
- Banker, R., Chang, H., & Zheng, Z. (2017). On the use of super-efficiency procedures for ranking efficient units and identifying outliers. Annals of Operations Research, 250(1), 21–35. https://doi.org/https://doi.org/10.1007/s10479-015-1980-8
- Banker, R., & Gifford, J. (1988). A relative efficiency model for the evaluation of public health nurse productivity. Carnegie Mellon University.
- Bogetoft, P., & Otto, L. (2011). Benchmarking with DEA, SFA, and R. Springer-Verlag.
- Bonaccorsi, A., & Daraio, C. (2007). Universities and strategic knowledge creation: Specialization and performance in Europe. Edward Elgar.
- Charnes, A., Cooper, W., & Rhodes, E. (1978). Measuring the efficiency of decision making units. European Journal of Operational Research, 2(6), 429–444. https://doi.org/https://doi.org/10.1016/0377-2217(78)90138-8
- Conway, J., & Lance, C. (2010). What reviewers should expect from authors regarding common method bias in organizational research. Journal of Business and Psychology, 25(3), 325–334. https://doi.org/https://doi.org/10.1007/s10869-010-9181-6
- Daghbashyan, Z., Deicao, E., & McKelvey, M. (2014). How and why does cost efficiency of universities differ across European countries? An explorative attempt using new microdata. In A. Bonaccorsi (Ed.), Knowledge, diversity and performance in European higher education: A changing landscape (pp. 267–291). Edward Elgar.
- De Witte, K., & Hudrlikova, L. (2013). What about excellence in teaching? A benevolent ranking of universities. Scientometrics, 96(1), 337–364. https://doi.org/https://doi.org/10.1007/s11192-013-0971-2
- De Witte, K., & López-Torres, L. (2017). Efficiency in education: A review of literature and a way forward. Journal of the Operational Research Society, 68(4), 339–363. https://doi.org/https://doi.org/10.1057/jors.2015.92
- Edvardsen, D., Førsund, F., & Kittelsen, S. (2017). Productivity development of Norwegian institutions of higher education 2004–2013. Journal of the Operational Research Society, 68(4), 399–415. https://doi.org/https://doi.org/10.1057/s41274-017-0183-x
- European Commission. (2015). ECTS users’ guide. https://op.europa.eu/en/publication-detail/-/publication/da7467e6-8450-11e5-b8b7-01aa75ed71a1
- Färe, R. (1988). Fundamentals of Production Theory. Springer-Verlag Berlin Heidelberg.
- Farrell, M. (1957). The measurement of productive efficiency. Journal of the Royal Statistical Society. Series A (General), 120(3), 253–281. https://doi.org/https://doi.org/10.2307/2343100
- Foley, G., Celis, S., Alshawa, H., Nihan, E. S., Khoshaim, H., & Tanner, J. (2017). Transition from secondary to tertiary education. In: G. Kaiser (eds) Proceedings of the 13th International Congress on Mathematical Education. 24th–31st July 2016, ICME-13 Monographs. Springer, University of Hamburg in Hamburg (Germany).
- Gralka, S., Wohlrabe, K., & Bornmann, L. (2019). How to measure research efficiency in higher education? Research grants vs. publication output. Journal of Higher Education Policy and Management, 41(3), 322–341. https://doi.org/https://doi.org/10.1080/1360080X.2019.1588492
- Johnes, G., & Schwarzenberger, A. (2011). Differences in cost structure and the evaluation of efficiency: The case of German universities. Education Economics, 19(5), 487–499. https://doi.org/https://doi.org/10.1080/09645291003726442
- Johnes, J. (2004). Efficiency measurement. In G. Johnes & J. Johnes (Eds.), International Handbook on the economics of education (pp. 613–742). Edward Elgar.
- Johnes, J. (2018). University rankings: What do they really show? Scientometrics, 115(1), 585–606. https://doi.org/https://doi.org/10.1007/s11192-018-2666-1
- Johnes, J., Portela, M., & Thanassoulis, E. (2017). Efficiency in education. Journal of the Operational Research Society, 68(4), 331–338. https://doi.org/https://doi.org/10.1057/s41274-016-0109-z
- Johnes, J., & Yu, L. (2008). Measuring research performance of Chinese higher education institutions using data envelopment analysis. China Economic Review, 19(4), 679–696. https://doi.org/https://doi.org/10.1016/j.chieco.2008.08.004
- Kao, C., & Hung, H.-T. (2008). Efficiency analysis of university departments: An empirical study. OMEGA, International Journal of Management Science, 36(4), 653–664. https://doi.org/https://doi.org/10.1016/j.omega.2006.02.003
- Kapelko, M., & Oude Lansink, A. (2015). An international comparison of productivity change in the textile and clothing industry: A bootstrapped Malmquist index approach. Empirical Economics, 48(4), 1499–1523. https://doi.org/https://doi.org/10.1007/s00181-014-0835-5
- Korhonen, P., Tainio, R., & Wallenius, J. (2001). Value efficiency analysis of academic research. European Journal of Operational Research, 130(1), 121–132. https://doi.org/https://doi.org/10.1016/S0377-2217(00)00050-3
- Kuah, C., & Wong, K. (2011). Efficiency assessment of universities through data envelopment analysis. Procedia Computer Science, 3, 499–506. https://doi.org/https://doi.org/10.1016/j.procs.2010.12.084
- Malmquist, S. (1953). Index numbers and indifference surfaces. Trabajos De Estatística, 4(2), 209–242. https://doi.org/https://doi.org/10.1007/BF03006863
- Metters, R., Vargas, V., & Whybark, D. (2001). An investigation of the sensitivity of DEA to data errors. Computers & Industrial Engineering, 41(2), 163–171. https://doi.org/https://doi.org/10.1016/S0360-8352(01)00050-X
- Nordforsk. (2017). Comparing research at Nordic higher education institutions using bibliometric indicators covering the years 1999–2014. Policy paper 4/2017. http://norden.diva-portal.org/smash/get/diva2:1115783/FULLTEXT02.pdf
- OECD. (2018). Education at a glance: OECD Indicators.
- Podsakoff, P., MacKenzie, S., & Podsakoff, N. (2012). Sources of method bias in social science research and recommendations on how to control it. Annual Review of Psychology, 63(1), 539–569. https://doi.org/https://doi.org/10.1146/annurev-psych-120710-100452
- Sant´Ana, T. D., Lopes, A. V., De Araujo Miranda, R. F., De Souza Bermejo, P., & Demo, G. (2020). Scientific research on the efficiency of public expenditures: How and where is it going? International Journal of Public Administration, 43(11), 926–936. https://doi.org/https://doi.org/10.1080/01900692.2019.1660995
- Shephard, R. (1953). Cost and production functions. Princeton University Press.
- Shephard, R. (1970). The theory of cost and production functions. Princeton University Press.
- Simar, L., & Wilson, P. (1998). Sensitivity analysis of efficiency scores: How to bootstrap in non-parametric frontier models. Management Science, 44(1), 49–61. https://doi.org/https://doi.org/10.1287/mnsc.44.1.49
- Simar, L., & Wilson, P. (1999). Estimating and bootstrapping Malmquist indices. European Journal of Operational Research, 115(3), 459–471. https://doi.org/https://doi.org/10.1016/S0377-2217(97)00450-5
- Simar, L., & Wilson, P. (2000). A general methodology for bootstrapping in non-parametric frontier models. Journal of Applied Statistics, 27(6), 779–802. https://doi.org/https://doi.org/10.1080/02664760050081951
- Simar, L., & Wilson, P. (2008). Statistical inference in non-parametric frontier models: Recent developments and perspectives. In H. Fried, K. Lovell, & S. Schmidt (Eds.), The measurement of productive efficiency and productivity change (pp. 421–521). Oxford University Press.
- The Swedish Financial Management Control Authority. (2016). Effektivisering i statsförvaltningen. ESV, 2016(59). https://www.esv.se/contentassets/a77dcfef3ef8444cbaa2c29dd67ec6d5/2016-59-regeringsuppdrag-effektivisering-i-statsforvaltningen.pdf
- The Swedish Higher Education Authority. (2017). Universitet & högskolor Årsrapport 2017(8). https://www.uka.se/download/18.667441fa15af4fb7b21126b3/1497612948871/arsrapport-2017.pdf
- The Swedish Higher Education Authority. (2018). Universitet & högskolor Årsrapport 2018. https://www.uka.se/download/18.661e864c1639ebc31e7750/1556787265197/rapport-2018-05-30-arsrapport-2018.pdf
- The Swedish Research Council. (2018). Lärosäten i Norden 2010–2016 – Underlag till DEA-analys (Dnr. 3.1–2018–03342).
- Veiderpass, A., & McKelvey, M. (2016). Evaluating the performance of higher education institutions in Europe: A non-parametric efficiency analysis of 944 institutions. Applied Economics, 48(16), 1504–1514. https://doi.org/https://doi.org/10.1080/00036846.2015.1102844
- Wolszczak-Derlacz, J. (2017). An evaluation and explanation of (in)efficiency in higher education institutions in Europe and the U.S. with the application of two-stage semi-parametric DEA. Research Policy, 46(9), 1595–1605. https://doi.org/https://doi.org/10.1016/j.respol.2017.07.010
- Wolszczak-Derlacz, J., & Parteka, A. (2011). Efficiency of European public higher education institutions: A two-stage multicountry approach. Scientometrics, 89(3), 887–917. https://doi.org/https://doi.org/10.1007/s11192-011-0484-9
- Worthington, A. (2001). An empirical survey of frontier efficiency measurement techniques in education. Education Economics, 9(3), 245–268. https://doi.org/https://doi.org/10.1080/09645290110086126