CELEBRATING Celebrating 50
Public Sector Economics

1936
Views



223
Downloads

Productivity and efficiency of central government departments: a mixed-effect model applied to Dutch data in the period 2012-2019



Jos L. T. Blank*
   
Alex A. S. van Heezik *
   
Bas Blank*
Article   |   Year:  2023   |   Pages:  335 - 351   |   Volume:  47   |   Issue:  3
Received:  September 21, 2022   |   Accepted:  April 4, 2023   |   Published online:  September 4, 2023
Download citation        https://doi.org/10.3326/pse.47.3.2       


  1. Alvarez, A. [et al.], 2006. Interpreting and testing the scaling property in models where inefficiency depends on firm characteristics. Journal of Productivity Analysis, 25(3), pp. 201-212 [CrossRef]

  2. Archibald, R. B. and Feldman, D. H., 2008. Explaining Increases in Higher Education Costs. The Journal of Higher Education, 79(3), pp. 268-295 [CrossRef]

  3. Barton, L. and Barton, H., 2011. Challenges, issues and change: what’s the future for UK policing in the twenty-first century? Article in International Journal of Public Sector Management, 25(3), pp. 415-433 [CrossRef]

  4. Bikker, J. and van der Linde, D., 2016. Scale economies in local public administration. Local Government Studies, 42(3), pp. 441-463 [CrossRef]

  5. Blank, J. L. T. [et al.], 2009. Beleidsdruk gemeten. Delft: TU Delft.

  6. Blank, J. L. T. and Lovell, C., 2000. Performance assessment in the public sector: contributions from efficiency and productivity measurement. In J. L. T. Blank (ed.). Public provision and performance. Amsterdam: Elsevier.

  7. Blank, J. L. T. and Niaounakis, T. K., 2019. Managing Size of Public Schools and School Boards : A Multi-Level Cost Approach Applied to Dutch Primary Education [CrossRef]

  8. Blank, J. L. T. and Valdmanis, V. G., 2019. Principles of productivity measurement; an elementary introduction to quantative research on the productivity, efficiency, effectiveness and quality of the public sectoritle. Delft: IPSE Studies.

  9. Blank, J. L. T., 2020. The use of the scaling property in a frontier analysis of a system of equations. Applied Economics, 52(49), pp. 5364-5374 [CrossRef]

  10. Blank, J. L. T., Enserink, B. and Van Heezik, A. A. S., 2019. Policy Reforms and Productivity Change in the Dutch Drinking Water Industry: A Time Series Analysis 1980-2015. Sustainability, 11(12), 3463 [CrossRef]

  11. Bowen, H. R., 1980. The Costs of Higher Education: How much do colleges and universities spend per student and how much should they spend? San Francisco: Jossey-Bass.

  12. Collewet, M. and Sauermann, J., 2017. Working hours and productivity. Labour Economics, 47, pp. 96-106 [CrossRef]

  13. Fried, H. O., Lovell, C. A. K. and Schmidt, S. S., 2008. The measurement of productive efficiency and productivity growth. New York: Oxford University Press [CrossRef]

  14. Goede, M. de [et al.], 2016. Drivers for performance improvement originating from the Dutch drinking water benchmark. Water Policy, 18(5), pp. 1247-1266 [CrossRef]

  15. Haelermans, C. and Blank, J. L. T., 2012. Is a schools performance related to technical change? a study on the relationship between innovations and secondary school productivity. Computers & Education, 59, pp. 884-892 [CrossRef]

  16. Haelermans, C., De Witte, K. and Blank, J. L. T., 2012. On the allocation of resources for secondary schools. Economics of Education Review, 31(5), pp. 575-586 [CrossRef]

  17. Hollingsworth, B., 2008. The measurement of efficiency and productivity of health care delivery. Health Economics, 17(10), pp. 1107-1128 [CrossRef]

  18. Hood, C. and Dixon, R., 2015. A Government that Worked Better and Cost Less? Evaluating Three Decades of Reform and Change in UK Central Government. Oxford, UK : Oxford University Press [CrossRef]

  19. Kumbhakar, C. and Lovell, C., 2000. Stochastic frontier analysis. New York: Cambridge University Press [CrossRef]

  20. Kumbhakar, S. C., Parmeter, C. F. and Zelenyuk, V., 2020. Stochastic Frontier Analysis: Foundations and Advances I. In: C. Ray et al. (ed.). Handbook of production economics. Springer Nature Singapore Pte Ltd [CrossRef]

  21. Künn-Nelen, A., De Grip, A. and Fouarge, D., 2013. Is Part-Time Employment Beneficial For Firm Productivity? ILR Review, 66(5), pp. 1172-1191 [CrossRef]

  22. Lindstrom, M. J. and Bates, D. M., 1990. Nonlinear Mixed Effects Models for Repeated Measures Data. Biometrics, 46(3), pp. 673-687 [CrossRef]

  23. Lopez, M., Dollery, B. and Byrnes, J., 2009. An empirical evaluation of the relative efficiency of roads to recovery expenditure in New South Wales local government, 2005/06. Australasian Journal of Regional Studies, 15(3), 311-328.

  24. Ministerie van Binnenlandse Zaken, 2009. Beleidsdruk in beeld: een kwantitatieve vergelijking van directoraten-generaal. Den Haag: Ministerie van Binnenlandse Zaken.

  25. Niaounakis, T. K. and van Heezik, A. A. S., 2019. Op afstand de beste? Een analyse van de productiviteitsontwikkeling bij IND, CJIB, SVB, RDW en het Kadaster. Delft: IPSE Studies.

  26. Niskanen, W. A., 1968. The Peculiar Economics of Bureaucracy. American Economic Review, 57(2), 293-321.

  27. Parmeter, C. F., 2018. Estimation of the two-tiered stochastic frontier model with the scaling property. J Prod Anal, 49, pp. 37-47 [CrossRef]

  28. ROA, 2011. De arbeidsmarkt naar opleiding en beroep tot 2016. Reports. Maastricht: Researchcentrum voor Onderwijs en Arbeidsmarkt/Maastricht University.

  29. Wang, H. J. and Schmidt, P., 2002. One-step and two-step estimation of the effects of exogenous variables on technical efficiency levels. Journal of Productivity Analysis, 18(2), pp. 129-144 [CrossRef]

  30. Weber, M., 1922. Economy and Society.

  September, 2023
III/2023

In order to give you a better user experience, cookies have been stored on your computer.
Accept cookie     More information