Divergence – Is it Geography?

Abstract

This paper tests directly a geography and growth model using regional data for Europe, the US, and Japan during di®erent time periods. We set up a standard geography and growth model with a poverty trap and derive a log- linearized growth equation that corresponds directly to a threshold regression technique in econometrics. In particular, we test whether regions with high population density (centers) grow faster and have a permanently higher per capita income than regions with low population density (peripheries). We find geography driven divergence for US states and European regions after 1980. Population density is superior in explaining divergence to initial income which the most important o±cial EU eligibility criterium for regional aid is built on. Divergence is stronger on smaller regional units (NUTS3) than on larger ones (NUTS2). Thus, the wavelength of agglomeration forces seems to be rather small in Europe. Human capital and R&D are transmission channels of divergence processes. Human capital based poverty trap models are an alternative explanation for regional poverty traps.Keywords: threshold estimation, economic geography, regional income convergence, poverty trap, regime shifts, bootstrap