Indicator-based analysis of socially sensitive and territorially sustainable development in relation to household energy consumption
2018
Kazak, J., Wroclaw Univ. of Environmental and Life Sciences (Poland) | Dziezyc, H., Wroclaw Univ. of Environmental and Life Sciences (Poland) | Forys, I., University of Szczecin (Poland) | Szewranski, S., Wroclaw Univ. of Environmental and Life Sciences (Poland)
One of the major fields of actions in sustainable development is energy. The correlation between the number of renewable energy sources and selected socioeconomic variables was already analysed, however, other energy indicators used for sustainable development assessment should be also checked. This issue is especially important outside the biggest cities in Poland due to the different energy use in relation to the density of urban development. The aim of the study is to identify the correlation between the energy use and other factors used to assess the sustainable development on the case of units of rural and semi-rural character. The studies used data from the public statistics system; the objects were NUTS-4 districts, according to the Eurostat classification. Classical statistical methods were used in the causality study: independence tests and correlation and association measures of random variables (Spearman’s rank correlation), and materiality tests of particular variables and their groups in linear econometric models. There was a statistically significant cause and effect relationship between electricity consumption and the amount of mixed municipal waste collected from households during the year, the number of household sewage treatment plants, natural growth per 1000 population, demographic dependency ratio, average usable area of a flat, the number of unemployed registered with higher education in relation to the number of people of working age and the share of the long-term unemployed registered at the age of 55−64 in the total number of unemployed at that age. In addition, a strong non-linear correlation relationship with the usable area of a flat per person was obtained. Subsequent research will concern searching for indicated dependencies in groups of similar objects.
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