8
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Determinants of the incidence of non-academic staff in European and US HEIs

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          In this article, we contribute to the scant literature covering quantitative studies on the determinants of the non-academic staff incidence in higher education institutions by analysing how the proportion of non-academic staff is related to key features such as size, prestige, year of foundation and financial structure of universities. We apply nonlinear regression analysis to compare HEIs across Europe and the USA, taking into account time and cross-country heterogeneity of the two balanced panel datasets concerning European and American universities over a period of 6 years (2011–2016 for Europe and 2012–2017 for the USA). Evidence suggests that in both Europe and the USA, public and larger (if sufficiently large) as well as more research-oriented units are characterised by a higher proportion of non-academic staff. In Europe, we observe an inverted U-shaped effect of the share of non-personnel expenditure and the foundation year on the proportion of non-academic staff, while the proportion of non-academic staff decreases with the share of core and third-party funding. For the USA, we obtain similar findings except that the share of core funding and third-party funding is characterised by a U-shaped effect, and the impact of the share of non-personnel expenditure has no empirical effect on the proportion of non-academic staff. Additionally, we discover that some factors that contribute to the proportion of non-academic staff may constitute indicators of performance, suggesting the need for further research to extend our knowledge on the complex issue of the role played by non-academic staff in university performance.

          Supplementary Information

          The online version contains supplementary material available at 10.1007/s10734-022-00819-7.

          Related collections

          Most cited references60

          • Record: found
          • Abstract: not found
          • Article: not found

          The Discipline of Rankings: Tight Coupling and Organizational Change

            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Dynamic Models for Dynamic Theories: The Ins and Outs of Lagged Dependent Variables

            A lagged dependent variable in an OLS regression is often used as a means of capturing dynamic effects in political processes and as a method for ridding the model of autocorrelation. But recent work contends that the lagged dependent variable specification is too problematic for use in most situations. More specifically, if residual autocorrelation is present, the lagged dependent variable causes the coefficients for explanatory variables to be biased downward. We use a Monte Carlo analysis to assess empirically how much bias is present when a lagged dependent variable is used under a wide variety of circumstances. In our analysis, we compare the performance of the lagged dependent variable model to several other time series models. We show that while the lagged dependent variable is inappropriate in some circumstances, it remains an appropriate model for the dynamic theories often tested by applied analysts. From the analysis, we develop several practical suggestions on when and how to use lagged dependent variables on the right-hand side of a model.
              Bookmark
              • Record: found
              • Abstract: not found
              • Article: not found

              Mapping Academic Resistance in the Managerial University

                Bookmark

                Author and article information

                Contributors
                jwo@zie.pg.gda.pl
                Journal
                High Educ (Dordr)
                High Educ (Dordr)
                Higher Education
                Springer Netherlands (Dordrecht )
                0018-1560
                1573-174X
                17 February 2022
                17 February 2022
                : 1-29
                Affiliations
                [1 ]GRID grid.7841.a, Dipartimento Di Ingegneria Informatica Automatica E Gestionale Antonio Ruberti (DIAG), , Sapienza University of Rome, ; Rome, Italy
                [2 ]GRID grid.6868.0, ISNI 0000 0001 2187 838X, Faculty of Management and Economics, , Gdańsk University of Technology, ; Narutowicza 11/12, 80-233 Gdańsk, Poland
                Author information
                http://orcid.org/0000-0002-3392-5267
                Article
                819
                10.1007/s10734-022-00819-7
                8853347
                35194228
                93340afa-f466-438d-b250-4160e386e8d3
                © The Author(s) 2022

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 24 January 2022
                Funding
                Funded by: Research Infrastructure for and Innovation Policy Studies 2 (RISIS2), funded by the European Union’s Horizon 2020 Research and Innovation programme
                Award ID: 824091
                Award Recipient :
                Funded by: Polish National Agency for Academic Exchange (NAWA)
                Award ID: PPN/BEK/2018/1/00134/U/00001/01
                Award Recipient :
                Categories
                Article

                higher education institutions,proportion of non-academic staff,determinants of non-academic staff,europe,usa,i22,i23,c14

                Comments

                Comment on this article