Browsing by Author "Eriksson, Jarno"

The study investigated whether energy poverty exists in Finland, and if so, under what conditions. The aim was also to investigate the reasons behind geographical differences. In addition to the geographical analysis, the study focused on the differences in electricity consumption between socio-economic groups. The aim was to investigate the differences in electricity consumption for different variables and how to tackle the globally growing energy poverty in Finland. The study aimed to find out whether energy poverty is associated with inequality in Finland. The research method was statistical analysis of household electricity consumption. The research style was descriptive statistical analysis. The study combined three different datasets and mainly used Excel to process and analyse the data. All Finnish households were used as the observation unit in the analysis of the results. The energy poverty threshold used in the study is 10% of electricity costs as a share of household disposable income. The results highlighted the importance of the type of dwelling when adjusting household electricity costs. The study found a strong correlation between electricity costs and energy poverty. This was also evident when examining regional differences, with low density residential areas emerging significantly as an area at risk of energy poverty. Geographically, these areas were located in Northern and Eastern Finland. Another significant finding from the results was the concentration of energy poverty in the lowest income bracket. However, the other income groups were very evenly distributed, as shown, for example, by the fact that energy poverty was also found in the highest income group. A key finding of the study was that the causes of energy poverty in Finland and around the world are different. In Finland, unlike in other countries, the impact of the type of housing on energy poverty was particularly pronounced. The results of the study suggest that energy poverty will have a multiplier effect on inequality, which will be more pronounced in areas with low population density. Further research on this topic would be important to explore the link between inequality and energy poverty in more detail.