Evidence map›Paper›PMID 35677345›Full record

ArticleApplied spatial analysis and policy2022

Human Capital and Labour Market Resilience: A Regional Analysis for Portugal.

Marta Simões, João Sousa Andrade, Adelaide Duarte

Abstract read
In one paragraph

Article in Applied spatial analysis and policy, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Marta SimõesUniv Coimbra, CeBER, Faculty of Economics, Av Dias da Silva 165, 3004-512 Coimbra, Portugal.ORCID 0000-0003-1046-2551
João Sousa AndradeUniv Coimbra, CeBER, Faculty of Economics, Av Dias da Silva 165, 3004-512 Coimbra, Portugal.ORCID 0000-0003-0999-2264
Adelaide DuarteUniv Coimbra, CeBER, Faculty of Economics, Av Dias da Silva 165, 3004-512 Coimbra, Portugal.ORCID 0000-0002-6585-2744

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper investigates labour market resilience for seven Portuguese NUTS-2 regions over the period 1995-2018 detailing its relationship with levels of education and highlighting the period following the 2007-08 financial and economic crisis. We define resilience as the ability of regional employment to recover from a recessionary shock over an entire business cycle. Our results point to the existence of labour market resilience to the different business cycles for the different regions in terms of total hours worked. The same conclusion applies to employment of workers with different levels of educational attainment, low, medium and high, defined according to the highest level of education completed by employees. Investigating in more detail the potential differentiated impact of the Portuguese Great Recession (PGR), covering the period after the 2007-08 crisis, our findings suggest however no resilience in terms of total hours worked and employment of workers with low levels of education, corresponding so far to a situation of jobless economic recovery. The conclusions are mixed for employment of workers with medium levels of education, while we found evidence of labour market resilience to the PGR for employment of workers with high levels of education. The strong negative impact of the PGR at the economic level thus seems to have hindered labour market resilience for employees and regions less endowed with human capital.

Indexed as

EducationEmploymentHuman CapitalNUTS2PortugalResilience

Identifiers

PMID35677345
PMCPMC9162378

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.