2017
DOI: 10.1016/j.proeng.2017.06.055
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Statistical Learning as a Tool for Optimizing the Level of Excise Tax of Mineral Oils in Slovakia

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Cited by 2 publications
(1 citation statement)
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“…Due to this, the output of fuel oil decreased at the refinery, and the output of motor fuels increased (Leontieva and Maiburov, 2015). The meaning of the innovation was obvious: companies modernize factories (Holkova et al, 2017), improve the quality of motor fuels produced on the domestic market and receive a discount in the form of a reduction in excise taxes (Ponkratov and Pozdnyaev, 2016), which partially covers costs (Kosov et al, 2017).…”
Section: Figure 3 Share Of Aggregated Components Of the Ai-95-k5 Autmentioning
confidence: 99%
“…Due to this, the output of fuel oil decreased at the refinery, and the output of motor fuels increased (Leontieva and Maiburov, 2015). The meaning of the innovation was obvious: companies modernize factories (Holkova et al, 2017), improve the quality of motor fuels produced on the domestic market and receive a discount in the form of a reduction in excise taxes (Ponkratov and Pozdnyaev, 2016), which partially covers costs (Kosov et al, 2017).…”
Section: Figure 3 Share Of Aggregated Components Of the Ai-95-k5 Autmentioning
confidence: 99%