Using a country-industry panel dataset (EUKLEMS) we uncover a robust empirical regularity, namely that high-risk innovative sectors are relatively smaller in countries with strict employment protection legislation (EPL). To understand the mechanism, we develop a two-sector matching model where...

Selvitystä varten kartoitettiin Suomen kannalta keskeisiä, Suomen ulkopuolella laadittuja globaaleja skenaarioita. Tavoitteena oli mm. tuottaa tausta-aineistoa Suomen talouden tulevaisuutta koskevaa laajempaa projektia varten (Kansantalous 2026). Maailmantalouden globaali hallinta (global...

Using a country-industry panel dataset (EUKLEMS) we uncover a robust empirical regularity, namely that high-risk innovative sectors are relatively smaller in countries with strict employment protection legislation (EPL). To understand the mechanism, we develop a two-sector matching model where...

We show empirically that high-risk innovative sectors are relatively small in countries with strict employment protection legislation (EPL). To understand the mechanism, we develop a two-sector matching model where firms endogenously choose between safe and risky technology. Simulations with our...

We analyse the clustering of European ICT activities. Our focus is primarily on the ICT manufacturing industries in the EU countries. We find a clear and intensifying concentration tendency of ICT-related production and R&D. As a rule, originally specialized countries have become more so. In...