Abstract
In this chapter, first of all the importance of small and medium-sized towns for rural households in relation to shopping, working and living in five European countries will be described. This analysis demonstrates the different functions towns can perform in different European contexts. With the help of a regression analysis we explore the determinants of local orientation in shopping behaviour. We then turn our attention to households in a selection of six Dutch towns and describe their spatial shopping behaviour. A multinomial logit model is used to explain the choice of households to shop in town, or in the direct hinterland, or further away. We relate rural spatial-economic conditions, such as the accessibility and supply of shops, to the local households’ socio-economic characteristics, such as place of work, age, and income. This helps us to understand which factors are important for the households’ choice to use the town, or the hinterland, or a place outside the region for their shopping.
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Notes
- 1.
On average, 70% of T-HH purchases are bought in town, and 30% of H-HH purchases are bought in the hinterland.
- 2.
These vehicles are mostly cars.
- 3.
This share is fairly high because of a relatively large group of farmers in the database, who most of the time work close to their residence.
- 4.
Distance to the nearest place with a shop of considerable size in the zone concerned. For grocery shopping a shop of considerable size was set at a floor space of 60 m2, and for fun and goal shopping it was 160 m2.
- 5.
That is, floor space of shops in the nearest place with a shop of considerable size in the zone concerned.
- 6.
Brown (1993) looked at rural community satisfaction and attachment in mass consumer society, and found that community satisfaction is primarily affected by length of residence. In this analysis he also included age, which was not significant. In many studies, community satisfaction is seen as an important variable for inshopping (e.g. Pinkerton et al. 1995). However, Brown did not find a significant relationship with inshopping.
- 7.
However, the bivariate-correlation is only 0.47.
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van Leeuwen, E.S. (2010). Multifunctionality of Towns: Exploration of the Spatial Behaviour of Households. In: Urban-Rural Interactions. Contributions to Economics. Physica-Verlag HD. https://doi.org/10.1007/978-3-7908-2407-0_3
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