2023
DOI: 10.1111/rsp3.12597
|View full text |Cite
|
Sign up to set email alerts
|

EU labor policy recommendations drawn from COVID‐driven research attention on cross‐border commuting – A review

Abstract: This paper aims to investigate which EU cross-border labor policy recommendations can be drawn from COVID-driven research attention. For this purpose, a systematic literature review with an in-depth qualitative analysis of selected articles was performed. Overall, three major categories of recommendations were revealed. Besides recommendations on contagion policy and the centrality of decision-making, recommendations on solving the social impact of the pandemic on the reputation of cross-border commuters can b… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2023
2023
2023
2023

Publication Types

Select...
1

Relationship

0
1

Authors

Journals

citations
Cited by 1 publication
(1 citation statement)
references
References 37 publications
(144 reference statements)
0
1
0
Order By: Relevance
“…Exploiting various spatial methods to evaluate regional inequalities and their interaction enables novel contributions to the research. However, the availability of relevant data at the local level is challenging for many countries, and longitudinal analyses would generate significant evidence for policy makers (Trager, 2022), helpful for prioritizing the policy agenda and to evaluate vulnerable groups or regions. New techniques for acquiring relevant datasets could open up relevant research directions and practical conclusions.…”
Section: Final Remarksmentioning
confidence: 99%
“…Exploiting various spatial methods to evaluate regional inequalities and their interaction enables novel contributions to the research. However, the availability of relevant data at the local level is challenging for many countries, and longitudinal analyses would generate significant evidence for policy makers (Trager, 2022), helpful for prioritizing the policy agenda and to evaluate vulnerable groups or regions. New techniques for acquiring relevant datasets could open up relevant research directions and practical conclusions.…”
Section: Final Remarksmentioning
confidence: 99%