
With the completion of EMU, tax competition and, more in general, locational competition is high on the EU policy agenda. In contrast to the standard neo-classical reasoning, recent advances in the theory of trade and location have shown that tax competition does not necessarily lead to a ‘race to the bottom’. In these recent discussions the relevance of government spending as an instrument for locational competition is unduly neglected. We therefore introduce a more elaborate government sector in a geographical economics model by analyzing government spending and government production. By changing the relative size, direction or efficiency of the production of public goods, our simulation results show that governments can change the equilibrium between agglomerating and spreading forces. In addition, we show analytically that the introduction of public goods fosters agglomeration. Ultimately, our paper shows that by restricting attention to taxes, one ignores that government spending also determines the attractiveness of a country as a location for the mobile factors of production.
ddc:330, F15, Concurrentie, Institutional Shifts in Government and Governance in a Comparative and International Context, Modellen (vorm), Bedrijfsvestiging, Working Paper, Agglomeraties, F10, Overheidsuitgaven, 83.64;, H10, jel: jel:F10, jel: jel:H10, jel: jel:F15
ddc:330, F15, Concurrentie, Institutional Shifts in Government and Governance in a Comparative and International Context, Modellen (vorm), Bedrijfsvestiging, Working Paper, Agglomeraties, F10, Overheidsuitgaven, 83.64;, H10, jel: jel:F10, jel: jel:H10, jel: jel:F15
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 37 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 1% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
