Multivariate model for the usage of renewable energies in a rural area

Within Hungary, the Koppányvölgye rural area was chosen due to its unique natural circumstances with its broad green nature, concerning the inhabitants’ habit for the usage and knowledge of renewable energy for residential heating. Through quota-based sampling method we collected the demographic, social and economic variables to examine their level of influence on wood for residential heating usage. We received the Likert scale values through the questionnaire, which had to be recoded for the binomial logistic regression model that we chose to use because of the indicator variable’s trait, and in aim to examine the explanatory variables’ significance. As a result, for the wood indicator variable, the age of the respondent turned out to be a significant variable, the higher age compared to lower age is a chance decreasing category for wood usage, employed compared to unemployed increased the likelihood, thereby rejected the energy ladder phenomenon, as well as more people in one household increased the chance for wood usage. The higher education, environmental awareness and insulation level of a house turned out to be non-significant for wood usage. Therefore, we strengthened those statements from the earlier studies, that in this rural region, the change
of the residential heating technology is more likely to be supply driven than demand driven.