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Understanding Productivity Changes in Public Universities: Evidence from Spain

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Understanding Productivity Changes in Public Universities: Evidence from Spain

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dc.contributor.author Garcia Aracil, Adela es_ES
dc.date.accessioned 2016-01-29T11:55:17Z
dc.date.available 2016-01-29T11:55:17Z
dc.date.issued 2013-12
dc.identifier.issn 0958-2029
dc.identifier.uri http://hdl.handle.net/10251/60363
dc.description.abstract This paper describes the dynamic changes in productivity in Spanish public universities (SPU) in the period 1994 to 2008. The Malmquist index is used to illustrate the contribution of efficiency and technological change to changes in the productivity of university activities. The results indicate that annual productivity growth is attributable more to efficiency improvements than technological progress. Gains in scale efficiency appear to play only a minor role in productivity gains. The fact that technical efficiency contributes more than technological progress suggests that most universities are not operating close to the best-practice frontier. es_ES
dc.language Inglés es_ES
dc.publisher Oxford University Press (OUP): Policy F - Oxford Open Option D es_ES
dc.relation.ispartof Research Evaluation es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Productivity Change es_ES
dc.subject Malmquist es_ES
dc.subject Spanish Public Universities es_ES
dc.subject Public universities es_ES
dc.subject Productivity es_ES
dc.subject Technical and scale efficiency es_ES
dc.subject Technological change es_ES
dc.title Understanding Productivity Changes in Public Universities: Evidence from Spain es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1093/reseval/rvt009
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Instituto de Gestión de la Innovación y del Conocimiento - Institut de Gestió de la Innovació i del Coneixement es_ES
dc.description.bibliographicCitation Garcia Aracil, A. (2013). Understanding Productivity Changes in Public Universities: Evidence from Spain. Research Evaluation. 22(5):351-368. doi:10.1093/reseval/rvt009 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion http://dx.doi.org/10.1093/reseval/rvt009 es_ES
dc.description.upvformatpinicio 351 es_ES
dc.description.upvformatpfin 368 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 22 es_ES
dc.description.issue 5 es_ES
dc.relation.senia 258125 es_ES
dc.description.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. doi:10.1093/reseval/rvr001 es_ES
dc.description.references Agasisti, T., & Pérez-Esparrells, C. (2009). Comparing efficiency in a cross-country perspective: the case of Italian and Spanish state universities. Higher Education, 59(1), 85-103. doi:10.1007/s10734-009-9235-8 es_ES
dc.description.references ARCELUS‡, F. J., & Coleman‡§, D. F. (1997). An efficiency review of university departments. International Journal of Systems Science, 28(7), 721-729. doi:10.1080/00207729708929431 es_ES
dc.description.references Athanassopoulos, A. D., & Shale, E. (1997). Assessing the Comparative Efficiency of Higher Education Institutions in the UK by the Means of Data Envelopment Analysis. Education Economics, 5(2), 117-134. doi:10.1080/09645299700000011 es_ES
dc.description.references Attewell, P., Heil, S., & Reisel, L. (2012). What Is Academic Momentum? And Does It Matter? Educational Evaluation and Policy Analysis, 34(1), 27-44. doi:10.3102/0162373711421958 es_ES
dc.description.references Balk, B. M. (1993). Malmquist Productivity Indexes and Fisher Ideal Indexes: Comment. The Economic Journal, 103(418), 680. doi:10.2307/2234540 es_ES
dc.description.references Beasley, J. E. (1990). Comparing university departments. Omega, 18(2), 171-183. doi:10.1016/0305-0483(90)90064-g es_ES
dc.description.references Beasley, J. E. (1995). Determining Teaching and Research Efficiencies. Journal of the Operational Research Society, 46(4), 441-452. doi:10.1057/jors.1995.63 es_ES
dc.description.references Bessent, A. M., & Bessent, E. W. (1980). Determining the Comparative Efficiency of Schools through Data Envelopment Analysis. Educational Administration Quarterly, 16(2), 57-75. doi:10.1177/0013161x8001600207 es_ES
dc.description.references Bonaccorsi, A., Daraio, C., & Simar, L. (2006). Advanced indicators of productivity of universitiesAn application of robust nonparametric methods to Italian data. Scientometrics, 66(2), 389-410. doi:10.1007/s11192-006-0028-x es_ES
dc.description.references Bonaccorsi, A., Daraio, C., Lepori, B., & Slipersæter, S. (2007). Indicators on individual higher education institutions: addressing data problems and comparability issues. Research Evaluation, 16(2), 66-78. doi:10.3152/095820207x218141 es_ES
dc.description.references 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(6), 1393. doi:10.2307/1913388 es_ES
dc.description.references Charnes, A., Cooper, W. W., & Rhodes, E. (1978). Measuring the efficiency of decision making units. European Journal of Operational Research, 2(6), 429-444. doi:10.1016/0377-2217(78)90138-8 es_ES
dc.description.references Coelli, T., & Perelman, S. (1999). A comparison of parametric and non-parametric distance functions: With application to European railways. European Journal of Operational Research, 117(2), 326-339. doi:10.1016/s0377-2217(98)00271-9 es_ES
dc.description.references Cohn, E., Rhine, S. L. W., & Santos, M. C. (1989). Institutions of Higher Education as Multi-Product Firms: Economies of Scale and Scope. The Review of Economics and Statistics, 71(2), 284. doi:10.2307/1926974 es_ES
dc.description.references COSTAS, R., & BORDONS, M. (2007). The h-index: Advantages, limitations and its relation with other bibliometric indicators at the micro level. Journal of Informetrics, 1(3), 193-203. doi:10.1016/j.joi.2007.02.001 es_ES
dc.description.references De Groot, H., McMahon, W. W., & Volkwein, J. F. (1991). The Cost Structure of American Research Universities. The Review of Economics and Statistics, 73(3), 424. doi:10.2307/2109566 es_ES
dc.description.references F�re, R., Grosskopf, S., & Lovell, C. A. K. (1992). Indirect productivity measurement. Journal of Productivity Analysis, 2(4), 283-298. doi:10.1007/bf00156471 es_ES
dc.description.references Farrell, M. J. (1957). The Measurement of Productive Efficiency. Journal of the Royal Statistical Society. Series A (General), 120(3), 253. doi:10.2307/2343100 es_ES
dc.description.references Flegg, A. T., & Allen, D. O. (2007). Does Expansion Cause Congestion? The Case of the Older British Universities, 1994–2004. Education Economics, 15(1), 75-102. doi:10.1080/09645290601133928 es_ES
dc.description.references FLEGG, A. T., ALLEN, D. O., FIELD, K., & THURLOW, T. W. (2004). Measuring the efficiency of British universities: a multi‐period data envelopment analysis. Education Economics, 12(3), 231-249. doi:10.1080/0904529042000258590 es_ES
dc.description.references García-Aracil, A., & Palomares-Montero, D. (2009). Examining benchmark indicator systems for the evaluation of higher education institutions. Higher Education, 60(2), 217-234. doi:10.1007/s10734-009-9296-8 es_ES
dc.description.references García-Aracil, A., & Palomares-Montero, D. (2012). Indicadores para la evaluación de las instituciones universitarias: validación a través del método Delphi. Revista española de Documentación Científica, 35(1), 119-144. doi:10.3989/redc.2012.1.863 es_ES
dc.description.references Giménez, V. M., & Martínez, J. L. (2006). Cost efficiency in the university: A departmental evaluation model. Economics of Education Review, 25(5), 543-553. doi:10.1016/j.econedurev.2005.05.006 es_ES
dc.description.references Glass, J. C., McKillop, D. G., & O’Rourke, G. (1998). Journal of Productivity Analysis, 10(2), 153-175. doi:10.1023/a:1018607223276 es_ES
dc.description.references Grifell-Tatjé, E., & Lovell, C. A. K. (1999). A generalized Malmquist productivity index. Top, 7(1), 81-101. doi:10.1007/bf02564713 es_ES
dc.description.references Grosskopf, S., Margaritis, D., & Valdmanis, V. (1995). Estimating output substitutability of hospital services: A distance function approach. European Journal of Operational Research, 80(3), 575-587. doi:10.1016/0377-2217(94)00138-3 es_ES
dc.description.references Jiménez-Contreras, E., de Moya Anegón, F., & López-Cózar, E. D. (2003). The evolution of research activity in Spain. Research Policy, 32(1), 123-142. doi:10.1016/s0048-7333(02)00008-2 es_ES
dc.description.references Johnes, G. (1988). Determinants of research output in economics departments in British universities. Research Policy, 17(3), 171-178. doi:10.1016/0048-7333(88)90041-8 es_ES
dc.description.references JOHNES, J. (2008). EFFICIENCY AND PRODUCTIVITY CHANGE IN THE ENGLISH HIGHER EDUCATION SECTOR FROM 1996/97 TO 2004/5*. Manchester School, 76(6), 653-674. doi:10.1111/j.1467-9957.2008.01087.x es_ES
dc.description.references 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. doi:10.1080/09645291003726442 es_ES
dc.description.references JOHNES, J., & YU, L. (2008). Measuring the research performance of Chinese higher education institutions using data envelopment analysis. China Economic Review, 19(4), 679-696. doi:10.1016/j.chieco.2008.08.004 es_ES
dc.description.references Koshal, R. K., & Koshal, M. (1999). Economies of scale and scope in higher education: a case of comprehensive universities. Economics of Education Review, 18(2), 269-277. doi:10.1016/s0272-7757(98)00035-1 es_ES
dc.description.references Kortelainen, M. (2008). Dynamic environmental performance analysis: A Malmquist index approach. Ecological Economics, 64(4), 701-715. doi:10.1016/j.ecolecon.2007.08.001 es_ES
dc.description.references Laudel, G. (2005). Is external research funding a valid indicator for research performance? Research Evaluation, 14(1), 27-34. doi:10.3152/147154405781776300 es_ES
dc.description.references Lovell, C. A. K. (2003). Journal of Productivity Analysis, 20(3), 437-458. doi:10.1023/a:1027312102834 es_ES
dc.description.references Lucas, S. R., & Beresford, L. (2010). Naming and Classifying: Theory, Evidence, and Equity in Education. Review of Research in Education, 34(1), 25-84. doi:10.3102/0091732x09353578 es_ES
dc.description.references 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. doi:10.1080/09645299700000013 es_ES
dc.description.references Abbott, M., & Doucouliagos, C. (2001). Total factor productivity and efficiency in Australian colleges of advanced education. Journal of Educational Administration, 39(4), 384-393. doi:10.1108/eum0000000005497 es_ES
dc.description.references Malmquist, S. (1953). Index numbers and indifference surfaces. Trabajos de Estadistica, 4(2), 209-242. doi:10.1007/bf03006863 es_ES
dc.description.references Mamun, S. A. K. (2012). Stochastic estimation of cost frontier: evidence from Bangladesh. Education Economics, 20(2), 211-227. doi:10.1080/09645292.2010.494836 es_ES
dc.description.references Maniadakis, N., & Thanassoulis, E. (2004). A cost Malmquist productivity index. European Journal of Operational Research, 154(2), 396-409. doi:10.1016/s0377-2217(03)00177-2 es_ES
dc.description.references Molinero, C. M. (1996). On the Joint Determination of Efficiencies in a Data Envelopment Analysis Context. Journal of the Operational Research Society, 47(10), 1273-1279. doi:10.1057/jors.1996.154 es_ES
dc.description.references Molinero, C. M., & Tsai, P. F. (1997). Some mathematical properties of a DEA model for the joint determination of efficiencies. Journal of the Operational Research Society, 48(1), 51-56. doi:10.1057/palgrave.jors.2600327 es_ES
dc.description.references McLendon, M. K., Hearn, J. C., & Deaton, R. (2006). Called to Account: Analyzing the Origins and Spread of State Performance-Accountability Policies for Higher Education. Educational Evaluation and Policy Analysis, 28(1), 1-24. doi:10.3102/01623737028001001 es_ES
dc.description.references Monk, D. H. (1992). Education Productivity Research: An Update and Assessment of Its Role in Education Finance Reform. Educational Evaluation and Policy Analysis, 14(4), 307-332. doi:10.3102/01623737014004307 es_ES
dc.description.references Nishimizu, M., & Page, J. M. (1982). Total Factor Productivity Growth, Technological Progress and Technical Efficiency Change: Dimensions of Productivity Change in Yugoslavia, 1965-78. The Economic Journal, 92(368), 920. doi:10.2307/2232675 es_ES
dc.description.references Rodrı́guez-Álvarez, A., Fernández-Blanco, V., & Lovell, C. A. K. (2004). Allocative inefficiency and its cost: International Journal of Production Economics, 92(2), 99-111. doi:10.1016/j.ijpe.2003.08.012 es_ES
dc.description.references Salerno, C. (2006). Using Data Envelopment Analysis to Improve Estimates of Higher Education Institution’s Per‐student Education Costs1. Education Economics, 14(3), 281-295. doi:10.1080/09645290600777485 es_ES
dc.description.references Sarafoglou, N., & Haynes, K. E. (1996). University productivity in Sweden: a demonstration and explanatory analysis for economics and business programs. The Annals of Regional Science, 30(3), 285-304. doi:10.1007/bf01580523 es_ES
dc.description.references Schmoch, U., Schubert, T., Jansen, D., Heidler, R., & von Görtz, R. (2010). How to use indicators to measure scientific performance: a balanced approach. Research Evaluation, 19(1), 2-18. doi:10.3152/095820210x492477 es_ES
dc.description.references New, B. (1997). The rationing debate: Defining a package of healthcare services the NHS is responsible for The case for. BMJ, 314(7079), 498-498. doi:10.1136/bmj.314.7079.498 es_ES
dc.description.references Sinuany-Stern, Z., Mehrez, A., & Barboy, A. (1994). Academic departments efficiency via DEA. Computers & Operations Research, 21(5), 543-556. doi:10.1016/0305-0548(94)90103-1 es_ES
dc.description.references Tomkins, C., & Green, R. (1988). AN EXPERIMENT IN THE USE OF DATA ENVELOPMENT ANALYSIS FOR EVALUATING THE EFFICIENCY OF UK UNIVERSITY DEPARTMENTS OF ACCOUNTING. Financial Accountability and Management, 4(2), 147-164. doi:10.1111/j.1468-0408.1988.tb00066.x es_ES
dc.description.references Uri, N. D. (2003). Technical efficiency in telecommunications in the United States and the impact of incentive regulation. Applied Mathematical Modelling, 27(1), 53-67. doi:10.1016/s0307-904x(02)00098-7 es_ES
dc.description.references Uri, N. D. (2003). The adoption of incentive regulation and its effect on technical efficiency in telecommunications in the United States. International Journal of Production Economics, 86(1), 21-34. doi:10.1016/s0925-5273(03)00002-1 es_ES
dc.description.references Vidal, J. (2003). Quality Assurance, Legal Reforms and the European Higher Education Area in Spain. European Journal of Education, 38(3), 301-313. doi:10.1111/1467-3435.00149 es_ES
dc.description.references Williams, J. D., & Kerckhoff, A. C. (1995). The Challenge of Developing New Educational Indicators. Educational Evaluation and Policy Analysis, 17(1), 113-131. doi:10.3102/01623737017001113 es_ES
dc.description.references Worthington, A. C., & Lee, B. L. (2008). Efficiency, technology and productivity change in Australian universities, 1998–2003. Economics of Education Review, 27(3), 285-298. doi:10.1016/j.econedurev.2006.09.012 es_ES


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