DDP - Zverejnená diplomová práca

Ekonomická analýza projektu chovu včiel v oblasti Stropkova v podmienkach špecifického rizika

Autor
Homza, Nikolas
Školiteľ
Holécy, Ján
Oponent
Drábek, Josef
Škola
Technická univerzita vo Zvolene LF KERLH (LF)
Rok odovzdania
2020
Počet strán
40s.. s
Trvalý odkaz - CRZP
https://opac.crzp.sk/?fn=detailBiblioForm&sid=AFB64E0160B4F4E9274AD39F9648
Primárny jazyk
slovenčina

Typ práce
Diplomová práca

Študijný odbor
4219 | *lesníctvo

Dátum zaslania práce do CRZP
26.05.2020

Dátum vytvorenia protokolu
26.05.2020

Dátum doručenia informácií o licenčnej zmluve
24.06.2020

Práca je zverejniteľná od
ihneď

Elektronická verzia
 Prehliadať
AbstractHOMZA, Nikolas: The Economic Analysis of the Project of Beekeeping in the Stropkov Region and its specific risks: Master thesis; [Diploma thesis]. - The Technical University in Zvolen; Study programme: Faculty od Forestry; Department of Forest Economics and Management; Supervisor: prof. Ing. Ján Holécy, CSc.; Zvolen, TU, 2020; 65 pages.This master thesis focuses on economic evaluation of potential investment into beekeeping in Stropkov region considering given natural and economic conditions. Specific goal of the thesis is to calculate a rentability of the project within the context of bee plague risk. Under the above framework, this paper, firstly, using actual market prices for input-output factors evaluates the cost effectiveness of described project abstracting from bee plague risk. Then, the economic analysis in the presence of bee plaque risk was carried out by calculating net cash flows. Among capital budgeting methods applied in the thesis belongs Net Present Value (NPV), Internal Rate of Return (IRR) and Dividend Payback Period (DPP). In financial modelling part, the scenario analysis is performed by considering various feasible results or outcomes in three basic scenarios: base case scenario, best case scenario and worst case scenario. For the sake of estimation of relative abundance of bee plague, beehives in the Stropkov and Prešov regions were monitored. Certainty equivalent factors used as risk proxies in the analysis were determined by estimating probability distribution function which happens to be exponential.

Verzia systému: 6.2.61.5 z 31.03.2023 (od SVOP)