Skill up: smart work, occupational mix and regional productivity

B-Tier
Journal: Journal of Economic Geography
Year: 2019
Volume: 19
Issue: 5
Pages: 1049-1075

Authors (2)

Mariachiara Barzotto (not in RePEc) Lisa De Propris (University of Birmingham)

Score contribution per author:

1.009 = (α=2.02 / 2 authors) × 1.0x B-tier

α: calibrated so average coauthorship-adjusted count equals average raw count

Abstract

New technologies and sector imbalances due to manufacturing hollowing out have dented the regional stock of competencies in the European Union (EU) labour markets. This raises concerns over the sustainability of the EU’s competitiveness in the longer term. The present study explore on what occupational mix might be able to deliver greater regional productivity in the light of emerging industrial dynamics. We estimate panel regression models using regional data from the EU Labour Force Survey and Eurostat regional statistics. Our results show that regional gross value added (GVA) is significantly improved if regions have a mix of occupations that includes what we define as smart workers: these are workers employed in advanced manufacturing and knowledge-based production-support activities. We also test interactions amongst production and production-support occupations as well as the nonlinear effect between smart workers and regional GVA. Policy implications are discussed.

Technical Details

RePEc Handle
repec:oup:jecgeo:v:19:y:2019:i:5:p:1049-1075
Journal Field
Urban/Geographic
Author Count
2
Added to Database
2026-01-25