Within research on world cities, much attention has been paid to advanced producer services (APS) and their role within both global urban hierarchies and network formation between cities. What is largely ignored is that these APS provide services to firms operating in a range of different sectors. Does sector-specific specialisation of advanced producer services influence the economic geography of corporate networks between cities? If so, what factors might explain this geographical pattern? This paper investigates these theoretical questions by empirically focusing on those advanced producer services related to the port and maritime sector. The empirical results show that the location of AMPS is correlated with maritime localisation economies, expressed in the presence of shipowners and port-related industry as well as APS in general, but not by throughput flows of ports. Based upon the findings, policy recommendations are addressed. Taylor, 2004;Derudder et al., 2010). The various advanced producer services (APS), finance, insurance, consultancy and so on, are treated as a distinctive sector that serves global production functions and that tends to agglomerate within 'world cities' or 'global

It has been argued that the relationship between knowledge intensive business services (KIBS) and multinational enterprises (MNEs) within the regional economy is advantageous for urban and regional dynamics. It is likely that KIBS aim to locate proximate to (internationally operating) MNEs because of agglomeration externalities. The impact of MNEs on the birth of KIBS has rarely been examined, and the research on the new formation of KIBS has mainly adopted a case study approach, thus limiting the opportunity for generalisation. We have taken a more quantitative approach using a continuous space framework to test whether proximity is important for the co-location of KIBS and MNEs in the metropolitan area of Amsterdam in the Netherlands. Our results, controlled for other location factors, indicate that KIBS are co-agglomerated with MNEs and that the presence of a MNE significantly influences the birth of KIBS nearby, but the effect on such start-ups is considerably smaller than the positive effect of the presence of already established KIBS. We discuss the implications for urban and regional development strategies and policy initiatives.

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SummaryContemporary European urban planning policies aim to mix land uses in compact neighbourhoods. It is presumed that mixing land uses yields socio-economic benefits and therefore has a positive effect on housing values. In this paper, we investigate the impact of mixed land use on housing values using semiparametric estimation techniques. We demonstrate that a diverse neighbourhood is positively valued by households. There are various land use types which positively affect house prices, e.g. business services and leisure. Land uses that are incompatible with residential land use are, among others, manufacturing and wholesale. It appears that households are willing to pay up to 6 percent more for a house in a mixed neighbourhood than for an otherwise comparable house in a monofunctional area. We also show that there is substantial heterogeneity in willingness to pay for mixed land use. For example, apartment occupiers are willing to pay almost 25 percent more for diversity than households living in detached housing.Keywords: Mixed land use; diversity; hedonic price analysis; semiparametric estimation; AcknowledgementsWe would like to thank the NVM and Statistics Netherlands for providing data. The paper has benefited from a NICIS-KEI research grant. We are indebted to Piet Rietveld, Wouter Jacobs and Wendy Tan for valuable comments.

Is the sky the limit? High-rise buildings and office rents * 4.1

We test the impact of historic amenities on house prices and sorting of households within cities. Conservation area boundaries enable us to employ a semiparametric regressiondiscontinuity approach to measure the impact of historic amenities. The approach allows for household-specific preferences. Conditional on neighbour attributes, the price difference at the conservation boundary is about 3 percent. Internal historic amenities are also important, as listed houses are about 6 percent more expensive. It is shown that rich households sort themselves in conservation areas and in listed buildings, because they have a higher willingness to pay for historic amenities. The results contribute to an explanation for the substantial spatial income differences within cities.JEL Classifications: R14, R21, R31, R38

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