Eesti majapidamiste mootorikütustele tehtavaid kulutusi mõjutavad tegurid aastatel 2010-2016
Laen...
Kuupäev
2019
Kättesaadavus
22.08.2019
Autorid
Ajakirja pealkiri
Ajakirja ISSN
Köite pealkiri
Kirjastaja
Eesti Maaülikool
Abstrakt
Arenenud riikides on üheks tõsiseks probleemiks järjest süvenev autostumine ning sellega
kaasnevad negatiivsed välismõjud ja sõltuvus mootorikütustest. Käesoleva magistritöö
eesmärk on välja selgitada, millised tegurid avaldasid mõju mootorikütustele tehtavatele
kulutustele Eesti majapidamistes aastatel 2010–2016 ning koostada ökonomeetrilised
mudelid, mis selgitavad ära võimalikult suure osa majapidamiste poolt mootorikütustele
tehtavatest kulutustest. Töös on kasutatud algandmetena mitmeid teiseseid andmeallikaid:
Statistikaameti andmebaas, ATKEAS-e erinevad redaktsioonid ja Rahandusministeeriumi
2019. aastal avaldatud raport aktsiisipoliitika riskidest. Töös kasutati korrelatsioon- ja
regressioonanalüüsi, mille tulemusena saadi seitse statistiliselt olulist regressioonimudelit,
mille kõik parameetrite hinnangud on statistiliselt olulised ja teooriale vastavad. Parima
kirjeldatuse tasemega mudeliks osutus nominaalsete kulutuste mudel, mille põhjuslikeks
muutujateks on töötuse määr ja leibkonna keskmine sõidukite arv. Töö tulemused on
rakendatavad edaspidistes leibkondade tarbimiskäitumise, eelkõige transpordi nõudluse ja
sellele tehtavate kulutustega seotud uuringutes. Magistritöö suurimaks piiranguks oli
suhteliselt lühike aegrida ja madal andmete detailsuse aste. Seega võivad detailsema
andmestikuga läbi viidavad tulevased uuringud leida, et statistiliselt olulist mõju kütustele
tehtavatele kulutustele avaldavad teisedki teoorias käsitletud tegurid.
One of the biggest challenges in First World countries is motorization and its negative externalities, as well as dependency on motor fuels. The objective of this Master’s thesis is to determine which factors affected the Estonian households’ expenditure on motor fuels in the years 2010 – 2016 and to compose econometric models that would best describe the variation of the households’ expenditure on motor fuels. In this thesis, secondary data sources such as databases from Statistics Estonia and the Alcohol, Tobacco, Fuel and Electricity Excise Duty Act, as well as a recent report from the Ministry of Finance, were used. The data analysis method used was correlation-regression analysis. As a result of the analysis, seven statistically relevant regression models with statistically relevant parameters corresponding to findings from the literature were found. The model which best fits the data was found to be a nominal expenditure model with the independent variables unemployment rate and average number of vehicles per household. The results found in the thesis can be used in further research in the field of consumer behavior, particularly in research of households’ consumption and expenses on transportation. The biggest limitation of this thesis was the relatively short time series and the level of detail of data used. Further research with a longer time series and more detailed data could reveal that other factors described in the literature and the theoretical part of this thesis are statistically relevant to households’ expenditure on motor fuels.
One of the biggest challenges in First World countries is motorization and its negative externalities, as well as dependency on motor fuels. The objective of this Master’s thesis is to determine which factors affected the Estonian households’ expenditure on motor fuels in the years 2010 – 2016 and to compose econometric models that would best describe the variation of the households’ expenditure on motor fuels. In this thesis, secondary data sources such as databases from Statistics Estonia and the Alcohol, Tobacco, Fuel and Electricity Excise Duty Act, as well as a recent report from the Ministry of Finance, were used. The data analysis method used was correlation-regression analysis. As a result of the analysis, seven statistically relevant regression models with statistically relevant parameters corresponding to findings from the literature were found. The model which best fits the data was found to be a nominal expenditure model with the independent variables unemployment rate and average number of vehicles per household. The results found in the thesis can be used in further research in the field of consumer behavior, particularly in research of households’ consumption and expenses on transportation. The biggest limitation of this thesis was the relatively short time series and the level of detail of data used. Further research with a longer time series and more detailed data could reveal that other factors described in the literature and the theoretical part of this thesis are statistically relevant to households’ expenditure on motor fuels.
Kirjeldus
Magistritöö
Majandusarvestuse ja finantsjuhtimise õppekaval
Märksõnad
magistritööd, leibkonnad, majapidamised, tarbijakäitumine, kulud, mootorikütused, regressioonanalüüs