Studie von: Österreichisches Institut für Wirtschaftsforschung – Centraal Bureau voor de Statistiek – Istituto Nazionale di Statistica – Lunaria Associazione di Promozione Sociale e Impresa Sociale – United Nations University – Maastricht Economic and Social Research Institute on Innovation and Technology – Fondation Nationale des Sciences Politiques – Scuola superiore Sant'Anna – Statistik Austria – University College London – Universität Bielefeld – Universität Ljubljana – Universität Tartu – Zentrum für Europäische Wirtschaftsforschung – Katholieke Universiteit Leuven (Belgium)
We use the supply tables that underlie WIOT data to explore the provision of services by manufacturing sectors. The value-added
shares generated by services differ substantially across countries and sectors, while they remain largely stable over time.
A Bayesian classification assigns broadly defined manufacturing sectors to economy-wide growth models. It differentiates between
service- and manufacturing driven models in catching up and developed economies. Servitization increase with labour productivity.
The service intensities in the sectoral production mix are lower in countries with higher manufacturing shares. This holds
for both catching up and developed economies. However, servitization is largely unrelated to productivity and employment growth.
Hence, we argue that the degree of servitization is contingent on and an attribute of the respective economic model in which
a sector operates.
JEL-Codes:L60, P51, O14
Keywords:Servitiziation, employment, productivity, latent class analysis, WIOD
Forschungsbereich:Industrie-, Innovations- und internationale Ökonomie