Impact of Population Income on the Number of Forest Fires: a Case Study
| Parent link: | International Review on Modelling and Simulations (IREMOS) Vol. 15, № 1.— 2022.— [P. 36-46] |
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| מחבר תאגידי: | |
| מחברים אחרים: | , , , , |
| סיכום: | Title screen In the regions of Siberia and the Far East of Russia, anthropogenic causes of forest fires reach 80-93%. The article examines the change in the number of fires in an environment of deteriorating financial conditions of the population. Statistical analysis of panel data is used as a research approach. The following models have been considered and evaluated: linear regression, Fixed Effects model (FE-model), and random effects model (RE-model). Almost all the models have showed good results related to the influence of socio-economic factors on the number of forest fires. The dynamics of real monthly wages has turned out to be statistically significant in influencing the dynamics of the number of forest fires. The Poisson RE-model is the most adequate, since visits to the forest that affect the occurrence of forest fires are often accidental. Режим доступа: по договору с организацией-держателем ресурса |
| שפה: | אנגלית |
| יצא לאור: |
2022
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| נושאים: | |
| גישה מקוונת: | https://doi.org/10.15866/iremos.v15i1.21777 |
| פורמט: | אלקטרוני Book Chapter |
| KOHA link: | https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=668676 |