The employment–population nexus and implications for sustainable economic development: insights from Irish regions using a partial adjustment model
Justin Doran,
Noirin McCarthy and
Marie O’Connor
Authors registered in the RePEc Author Service: Mari O' Connor
International Review of Applied Economics, 2017, vol. 31, issue 4, 508-526
Abstract:
In this paper, we use a partial adjustment model to analyse the relationship between employment and population growth in Irish district electoral divisions. We employ a spatial estimator to augment our partial adjustment model with a spatial lag and spatial error process. Our results indicate a dual relationship between employment and population growth, suggesting that not only do people follow jobs but also jobs follow people. This finding has implications for economic development policies, which typically focus solely on attracting jobs to a location. The results suggest that a dual-pronged approach to policy may be necessary including developing a region’s amenities to ensure that it is attractive to people and to stimulate population growth. We highlight how our analysis can be used to inform policy through the lenses of place-based and smart specialisation strategies.
Date: 2017
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://hdl.handle.net/10.1080/02692171.2016.1263608 (text/html)
Access to full text is restricted to subscribers.
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:taf:irapec:v:31:y:2017:i:4:p:508-526
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/CIRA20
DOI: 10.1080/02692171.2016.1263608
Access Statistics for this article
International Review of Applied Economics is currently edited by Professor Malcolm Sawyer
More articles in International Review of Applied Economics from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().