Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. Many modern trade and growth models are characterized by multiple equilibria. In theory the analysis of multiple equilibria is possible, but in practice it is difficult to test for the presence of multiple equilibria. Based on the methodology developed by Davis and Weinstein (2004) for the case of Japanese cities and WWII, we look for multiple equilibria in a model of German city growth. The strategic bombing of Germany during WWII enables us to assess the empirical relevance of multiple equilibria in a model of city-growth. In doing so, and in addition to the Davis and Weinstein framework, we look at the spatial inter-dependencies between cities. The main findings are twofold. First, multiple equilibria seem to be present in German city growth. Our evidence supports a model with 2 stable equilibria. Second, the explicit inclusion of geography matters. Evidence for multiple equilibria is weaker when spatial interdependencies are not taken into account. Terms of use: Documents inJEL Code: R11, R12, F12.

For reasons of analytical tractability, new economic geography (NEG) models treat geography in a very simple way, focusing on stylized 'unidimensional' geography structures (e.g. an equidistant or line economy). All the well-known NEG results are based on these simple geography structures. When doing empirical work, these simplifying assumptions become problematic: it may very well be that the main NEG results do not carry over to the heterogeneous geographical setting faced by the empirical researcher, making it inherently difficult to relate empirical results back to NEG theory. This article tries to bridge this gap by proposing an empirical strategy that combines estimation and simulation. First, we show by extensive simulation that many, but not all, conclusions from the simple unidimensional NEG models carry over when using more realistic geography structures. Second, we illustrate our proposed empirical strategy using a sample of European regions, combining estimation of structural NEG parameters with simulation of the underlying NEG model.

Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. The physical or absolute geography of Sub-Saharan Africa (SSA) is often blamed for its poor economic performance. A country's location however not only determines its absolute geography, it also pins down its relative position on the globe vis-à-vis other countries. This paper assesses the importance of relative geography, and access to foreign markets in particular, in explaining the substantial income differences between SSA countries. We base our empirical analysis on a new economic geography model. We first construct a measure of each SSA country's market access based on bilateral trade flows and then assess the relevance of market access for economic development. In doing so, we explicitly distinguish between the importance of access to other SSA markets and to the rest of world respectively. We find that market access, and notably intra-SSA market access, has a significant positive effect on GDP per capita. This indicates that improving SSA market access (e.g. by investing in intra-SSA infrastructure or through increased SSA integration) will have substantial positive effects on its future economic development. Terms of use: Documents inJEL Code: O10, O19, O55, F1.

No abstract

South Africa is one of the wealthiest countries on the African continent. The high national level (and growth) of GDP per capita, however, masks significant differences in economic performance across South Africa's regions. This paper uses (spatial) Markov chain techniques to describe the evolution of the entire cross-section regional income distribution in terms of its intra-distributional characteristics during the post-Apartheid period. The results indicate a heavily diverging regional income distribution. Relatively poor regions are likely to remain poor or become even poorer and the richest regions will maintain their lead in terms of income levels. Explicitly taking account of space furthermore shows that these high-income regions are acting as local growth poles, absorbing economic activity from their immediate surroundings. Location, trade, education, and the variable fortune of the gold mining industry seem to be important determinants of the observed evolution. Copyright (c) Blackwell Publishing, Inc. 2008