engleski

Residential energy consumption modeling using quantile regression

Using quantile regression, this paper aims to explore the effects of its main determinants for EU countries in year 2016. Understanding the residential final energy consumption determinants is very important. Namely, an increase in the efficiency of its usage and its reduction without jeopardizing the quality of life is desirable not only for households themselves, but also for environment and the whole society. We found statistically significant variances in the significance of the poverty and policy variable as well as the climate condition variable between quantiles. By contrast, energy prices and gross domestic product turned out to be statically significant determinants regardless of the examined quantiles of conditional distribution. Thereby, the rebound effect of gross domestic product on residential final energy consumption was weakened, while the effect of energy prices strengthened across quantiles. The results of the quantile regression analysis provided energy and environmental policy authorities with valuable first information to formulate policies for further promotion of a wise use of energy in the residential sector.

residential final energy consumption, rebound effect, European Union, quantile regression

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