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Abstract

Warehouses are a fundamental element for the supply chain and, consequentially, provide resources for people to perform their daily tasks. Their location determines the type of goods movements that will be performed in the city area. Knowing their location is essential to define public policies applied to urban freight transport, city livability and economic development. In the search to make a better diagnosis of its area, the Belo Horizonte City Hall developed the urban quality-of-life index (UQLI) and the local supply index (LSI). This article used linear regression to identify the correlation amongst the UQLI, the LSI and the location of the logistics warehouses in urban areas. The best model obtained from the econometric analysis is the one that correlates warehouses with supermarkets, bookstores and stationery, residential area, quality of the house, bank and gas station. The results obtained were confirmed with spatial analysis. This result allows concluding that the warehouses are influenced by the favourable zoning, low land cost, proximity of regional and main streets of the city and high population and retailer density.

these gains. Na- tional level data are used to document the extent of convergence across nations in sulfur dioxide and carbon dioxide emissions. Based on a panel data set from the Czech Republic, Hungary and Poland, ambient sulfur dioxide levels have fallen both because of composition and technique effects. The incidence of this local public good improvement is analyzed. KEYWORDS: Eastern Europe, Air Pollution, Urban Quality of Life Eastern Europe’s cities have featured much higher pollution levels than the rest of Europe. In 1985, Prague’s average annual sulfur

Abstract

This article contributes to the rural-urban quality of life comparison issue by investigating territorial differences in quality of life using indices of poverty, satisfaction and opportunity deprivation. The article introduces three innovative elements. First, rural-urban differences are analysed alongside with the within-rural differentiation; second, two distinct spatial patterns of different forms of rural territorial disadvantage are introduced; third, the net-effect of the residential environment is assessed. Empirical results, based on survey data, show increased opportunity deprivation in rural areas, which however is not accompanied by decreased community satisfaction. For the most indices, within-rural differences proved larger than the difference between urban and rural areas.

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