Rapid Evidence Assessment Protocol for the Meta-Analysis of Initiatives, Interventions and Programmes That Target Rural NEETs
Paul Flynn (),
Veronica McCauley,
Alen Mujčinović,
Vesela Radović,
Stefan Bojnec and
Francisco Simões
Additional contact information
Paul Flynn: School of Education, National University of Ireland, H91 TK33 Galway, Ireland
Veronica McCauley: School of Education, National University of Ireland, H91 TK33 Galway, Ireland
Alen Mujčinović: Faculty of Agriculture and Food Sciences, University of Sarajevo, 71000 Sarajevo, Bosnia and Herzegovina
Vesela Radović: Institute for Multidisciplinary Research, University of Belgrade, 11000 Belgrade, Serbia
Stefan Bojnec: Faculty of Management, University of Primorska, SI-6101 Koper-Capodistria, Slovenia
Francisco Simões: University Institute of Lisbon, 1649-026 Lisbon, Portugal
Social Sciences, 2022, vol. 11, issue 8, 1-7
Abstract:
The acronym NEET refers to youths aged between 15 and 34 years old who are excluded from employment, education or training. However, historically, the NEET demographic has been depicted as a largely homogenous group. Against this backdrop and given the dependency of rural economies on agricultural practices for survival, such practices have been in decline for a number of years, seriously threatening rural communities’ sustainability. While these rural NEETs can present as registered unemployed and also within the reporting statistics of various different state-funded initiatives, interventions and programmes, in the case of Rural NEETs, there is a dearth of reporting categories that highlight the specificity of this group resulting in their presence being largely overlooked within official dissemination. In order to advance this emergent field of research, presented here is a Rapid Evidence Assessment protocol that will aid future work of the authors and for others to adapt and/or adopt.
Keywords: rural NEETs; rapid evidence assessment; protocol (search for similar items in EconPapers)
JEL-codes: A B N P Y80 Z00 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://www.mdpi.com/2076-0760/11/8/362/pdf (application/pdf)
https://www.mdpi.com/2076-0760/11/8/362/ (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:gam:jscscx:v:11:y:2022:i:8:p:362-:d:886636
Access Statistics for this article
Social Sciences is currently edited by Ms. Yvonne Chu
More articles in Social Sciences from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().