Distribution dynamics of alternative productivity measures: An empirical analysis
• The paper presents a novel indicator of total labour productivity which takes imported inputs into consideration. • We evaluate productivity convergence across 61 countries using the newly developed metric, alongside apparent labour and total factor productivity, applying the distribution dynamics approach. • Our results indicate polarisation for both measures of labour productivity, and convergence for total factor productivity. This paper revisits the productivity convergence debate from the perspective of Structural Economic Dynamics. Building on a novel indicator of total labour productivity, we provide a comprehensive analysis of productivity convergence across 61 economies over the period 1995–2019. Instead of using regression methods, we make use of the distribution dynamics approach which captures the full evolution of productivity distributions over time. Our results reveal contrasting patterns of convergence depending on the measure chosen. While total factor productivity suggests reduced dispersion and a tendency toward homogeneity, apparent labour productivity and our measure indicate persistent polarisation, with countries clustering into high- and low-productivity groups.
Authors
- Gabriel Brondino (ORCID: https://orcid.org/0000-0002-7674-2911)
- Miguel Ángel Casaú-Guirao
- Facund Fora-Alcalde
Institutions
- Università Cattolica del Sacro Cuore (IT)
- Universitat Autònoma de Barcelona (ES)
- Universitat de les Illes Balears (ES)
- Universidad Autónoma de Madrid (ES)
Publication Details
- Journal
- Structural Change and Economic Dynamics
- Published
- 2025-03-18
- DOI
- https://doi.org/10.1016/j.strueco.2025.03.008
- Primary Topic
- Economic Growth and Productivity
- Type
- article
- Field-Weighted Citation Impact
- 0.00