The purpose of this paper is to provide a tool to delimit the scope of the hinterland of ports as accurately and simply as possible. To achieve this goal, an adapted version of the Huff model is proposed. In order to verify the validity of the proposal, it was applied to the Spanish case. As repulsion and attraction factors, both key aspects in the Spatial Interaction Models, the province-port travel time along the road network and the container throughput of the ports were considered respectively. The estimated hinterland of the analysed container ports fits well the observed flows. The obtained results confirm that the proposed methodology allows to identify the scope of the hinterland of ports in an effective an easy way, which is of interest both to stakeholders and policy makers.
International trade is one of the key spheres of economic policy. It is crucial for a country to understand the dynamics of its export markets to create a coherent strategy to improve its position in global markets. Research in this field is particularly interesting for both economists and policy makers. However, due to a lack of data, most of the well-established literature is focused on the national level. Therefore, there is little evidence on the influence of local characteristics on export markets. This research aims to evaluate the influence of regional factors on the competitiveness of firms in international markets, focussing on the importance of agglomeration economies and location, among other local factors. To identify this influence, this paper studies the case of Brazil. This country offers rich disaggregated information that allows this type of research and displays enormous differences across rural and urban areas. Given these differences, the assumption of homogeneous effects is too restrictive. Therefore, to study the patterns across different territories around the country, Geographically Weighted Generalized Linear Model (GWGLM) method is applied. The results indicate an interaction between location and the influence of several local characteristics such as human capital, the degree of development and the local economic structure. This relationship creates virtuous circles in a few locations where urban agglomerations create a suitable environment for firms, while opposite patterns appear in other locations. JEL codes: F14, R11 and R12
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