## 4 Discussion  
The aim was to identify variables that influenced pro-environmental behavior and the need to customize energy and environmental development programs for Arctic regions. Previous studies have demonstrated a correlation to exist between awareness of renewable energy sources (RES) and pro-environmental behavior [22; 43]. The results of our survey confirmed the following correlation: People in the study area had low awareness of RES and were little involved in pro-environmental activities. We also show that the degree of involvement in green practices depends on the level of environmental concern, which corroborates previous research results [14; 44], and on the place of residence [45]. A direct relationship was found between the degree of involvement in green practices and \begin{table}
\begin{tabular}{c c c} \hline \hline
**Type of Model** & **Akaike info Criterion** & **Schwarz Criterion** \\ \hline Linear & 0.78 & 0.81 \\ Quadraticfunction & 0.78 & 0.81 \\ Cubicfunction & 0.78 & 0.81 \\ Logarithmicfunction & 2.34 & 2.37 \\ \hline \hline \end{tabular}
\end{table} 
Table 6: Results of regression analysis. \begin{table}
\begin{tabular}{c c c c c} \hline \hline  & **Coefficient** & **Standard Error** & \(\boldsymbol{t}\) **Statistic** & \(\boldsymbol{p}\) **Value** \\ \hline C & 0.279 & 0.055 & 5.11 & 0.0000 \\ Age & 0.002 & 0.0008 & 2.64 & 0.0080 \\ Education & 0.016 & 0.008 & 1.98 & 0.0470 \\ Household & \(1.52\times 10^{-6}\) & \(2.10\times 10^{-7}\) & 7.233 & 0.000 \\ income & \(-0.00095\) & 0.0005 & \(-1.89\) & 0.059 \\ Waste generated & \(-4.32\times 10^{-5}\) & \(1.23\times 10^{-5}\) & \(-3.52\) & 0.0004 \\ \hline \hline \end{tabular}
\end{table} 
Table 5: Results of regression analysis. the household's income (agrees with conclusions in [24]; as applied to RES, the relationship between the scope of their use and income is shown in [20; 22]). The positive dependence of pro-environmental behavior on age corroborates [46] and disproves [47]; the existence of statistically non-significant differences in age effect was demonstrated in [48]; and the lack of correlation was declared in [49]. The controversial conclusions regarding the effect of age and no individual's tendency to implement green practices may indicate that the direction of age effects vary among the practices. This is probably why the most and least pro-environmentally behaving individuals belong to the same age group of 30 to 54 years, although our survey has corroborated a positive correlation to exist between age and pro-environmental behavior. Similarly, the survey has demonstrated that both the highest and the lowest involvements in green practices are exhibited by men and by persons with higher education (in the context of a general positive correlation between education and involvement in pro-environmental behavior). At the same time, a majority of studies report a greater involvement of women [23; 24; 48; 50; 51] and persons with higher education [24; 48; 49] in green practices, although men are said to be more sensitive to programs that attempt to change their behavior [52]. One can suppose that women on average are more willing to practice pro-environmental behaviors, but they spend more time at home [53] and more often demonstrate a moderate level of involvement in green practices. Men's motivation to behave pro-environmentally is lower on average, which is why their pro-environmental activity is the lowest. That said, there are also environmentally concerned men, who have more possibilities to implement green practices outside of home compared to women [53], and their involvement in the practices is, therefore, high rather than moderate. The fact that people with higher education are among both the least and the most environmentally active individuals can be explained by differences in education itself. In the past, little attention was paid to environmental problems; thus, older people with higher education may stick to traditional, non-environmental behaviors.