While European integration has substantially contributed to economic convergence between the member states of the EU, the diverging development of highly developed metropolitan regions and lagging rural areas has become a growing challenge especially for the new member states in Central and...

Urban competitiveness is commonly attributed to necessitating particular types of socio‐spatial frameworks such as clustering on the basis of models of Marshall-Arrow-Romer (MAR), Porter, or Jacobs, since proximity is known as a key perquisite for knowledge spillover, innovation, and hence...

This chapter is concerned with methods for analyzing spatial data. After initial discussion of the nature of spatial data, including the concept of randomness, we focus most of our attention on linear regression models that involve interactions between agents across space. The introduction of...

Who's your city? For companies in the developing world, this question determines their market sizes, access to innovative ideas, regulatory environment and proximity to innovative staff. In this brief, we identify the most attractive metropolitan areas to locate in to sell in emerging markets....

In this letter I summarise the main results and contributions from my Ph.D. thesis on concentration of resources and economic development. The empirical analysis performed in the thesis, and summarised here, focuses on two mayor world trends in modern economic development, namely increasing...

The literature on the wage curve provides considerable evidence in favor of a negative relationship between unemployment and wages. It is thus often seen as a refutation of the Harris-Todaro model, who point to a positive relationship. This paper shows that both strands of literature are special...