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The European brewing industry has experienced considerable development related to the changes of beer production volume. These trends are generalised by Vernon’s concept of product life-cycle that is already anchored in the economic geography. The differences of its growth, maturity and decline stages are important to study transnational corporations’ (TNC) strategies within the combination of different stages of all European markets. Therefore, the aim of this paper is to verify how the TNCs’ behaviour in individual countries depends on the stages of their beer markets. In the beer life-cycle perspective, Europe can be divided into several regions with a similar stage of development. Expected behaviour of brewing TNCs in the dependence of the countries’ stage in the beer life-cycle have been proved in the large extent. Some interesting differences were, however, also found. The paper finally pointed on the rising beer life-cycle of microbreweries, which could replace the life-cycle of traditional breweries.

This paper examines the patterns of the US and Australian immigration geography and the process of regional population diversification and the emergence of new immigrant concentrations at the regional level. It presents a new approach in the context of human migration studies, focusing on spatial relatedness between individual foreign-born groups as revealed from the analysis of their joint spatial concentrations. The approach employs a simple assumption that the more frequently the members of two population groups concentrate in the same locations the higher is the probability that these two groups can be related. Based on detailed data on the spatial distribution of foreign-born groups in US counties (2000–2010) and Australian postal areas (2006–2011) we firstly quantify the spatial relatedness between all pairs of foreign-born groups and model the aggregate patterns of US and Australian immigration systems conceptualized as the undirected networks of foreign-born groups linked by their spatial relatedness. Secondly, adopting a more dynamic perspective, we assume that immigrant groups with higher spatial relatedness to those groups already concentrated in a region are also more likely to settle in this region in future. As the ultimate goal of the paper, we examine the power of spatial relatedness measures in projecting the emergence of new immigrant concentrations in the US and Australian regions. The results corroborate that the spatial relatedness measures can serve as useful instruments in the analysis of the patterns of population structure and prediction of regional population change. More generally, this paper demonstrates that information contained in spatial patterns (relatedness in space) of population composition has yet to be fully utilized in population forecasting.

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