Daniela Olo, Leonida Correia and Maria da Conceição Rego
The purpose of this paper is to analyse whether there is an adjustment between the Portuguese higher education supply and the needs of the labour market.
Abstract
Purpose
The purpose of this paper is to analyse whether there is an adjustment between the Portuguese higher education supply and the needs of the labour market.
Design/methodology/approach
An empirical study is performed, using a quantitative approach, relating the job offers for graduates registered at the employment centres and the number of graduates by higher education institutions (HEIs) in Portugal, at an aggregate level and NUT II regions, by areas of education and training, over the 2003–2018 period. To understand how job offers and graduates are correlated, bilateral Spearman's rank correlation coefficients were calculated.
Findings
The results show that, in large groups of educational areas, exists a match between the higher education supply and the labour market needs, with an emphasis on the fields of “social sciences, business and law”, “engineering, manufacturing and construction” and “health and welfare”. However, at a more disaggregated level, a mismatch in the sub-areas of “teacher training and education science” and “computing” was found since labour market needs are much greater than graduates by HEIs and the two variables are moving in opposite directions.
Practical implications
The study has revealed important aspects that the educational policy should take into account in order to create the conditions for a gradual adjustment to the labour market needs. Also, the results demonstrate that some measures should be taken in short/medium term to avoid problems in the medium/long term.
Originality/value
One implication of this empirical study was the elaboration of a correspondence table to standardise the data analysis units from two different sources. As this correspondence did not exist prior to this study, this output is a relevant contribution to the research field. Another important contribution is the demonstration of a mismatch in some educational sub-areas that deserves special attention from educational policymakers.
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Maria Conceição A. Silva Portela, Ana Santos Camanho, Diogo Queiroz Almeida, Luiz Lopes, Sofia Nogueira Silva and Ricardo Castro
In a context of international economic crisis the improvement in the efficiency and productivity of public services is seen as a way to maintain high-quality levels at lower…
Abstract
Purpose
In a context of international economic crisis the improvement in the efficiency and productivity of public services is seen as a way to maintain high-quality levels at lower costs. Increased productivity can be promoted through benchmarking exercises, where key performance indicators (KPIs), individually or aggregated, are used to compare health units. The purpose of this paper is to describe a benchmarking platform, called Hospital Benchmarking (HOBE), where hospital’s services are used as the unit of analysis.
Design/methodology/approach
HOBE platform includes a set of managerial indicators through which hospital services’ are compared. The platform also benchmarks services through aggregate service indicators, and provides an aggregate measure of hospital’s performance based on a composite indicator of the service’s performances. These aggregate indicators were obtained through data envelopment analysis (DEA).
Findings
Some results are presented for Portuguese hospitals for the trial years of 2008 and 2009, for which data is publicly available. Details for the service-level analysis are provided for a sample hospital, as well as details on the aggregate performance resulting from services performances.
Practical implications
HOBE’s features and outcomes show that the platform can be used to guide management actions and to support the design of health policies by administrative authorities, provided that good quality and timely data are available, and that hospitals are involved in the design of the KPIs.
Originality/value
The platform is innovative in the sense that it bases its analysis on hospital’s services, which are in general more comparable among hospitals than indicators of hospital overall performance. In addition, it makes use of DEA to aggregate performance indicators, allowing for user choice in the inputs and outputs to be aggregated, and it proposes a novel model to aggregate service’s efficiencies into a single measure of hospital performance.