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Posledice cenovnih nihanj na poslovanje izbranih tipov poljedelskih kmetij
ID Šink, Gašper (Author), ID Žgajnar, Jaka (Mentor) More about this mentor... This link opens in a new window

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Abstract
Za poljedelske kmetije je značilna specializirana pridelava poljščin, pri kateri pomembno vlogo igrajo tržne razmere, vremenski pogoji ter razpoložljivost proizvodnih virov. V zadnjih letih so na njihovo uspešnost močno vplivali globalni šoki, zlasti pandemija COVID-19 in vojna v Ukrajini. Pandemija je sprva znižala stroške pridelave, vendar negativno vplivala na trge in distribucijske verige, medtem ko je vojna povzročila izrazit porast stroškov zaradi višjih cen energentov in surovin. Kljub temu so visoke prodajne cene v letu 2022 kmetijam omogočile ugoden poslovni izid, kar pa se v naslednjih letih ni več ponovilo. Poleg tega je v tem obdobju prišlo do sprememb kmetijske politike, med drugim do ukinitve proizvodno vezanih podpor za strna žita, kar je dodatno vplivalo na ekonomsko stanje poljedelskih kmetij. V magistrski nalogi analiziramo vpliv cenovnih nihanj na ekonomsko stanje izbranih tipičnih poljedelskih kmetij v Sloveniji v obdobju 2018–2024. Poseben poudarek namenjamo posledicam dveh ključnih zunanjih dejavnikov: epidemiji COVID-19 in vojni v Ukrajini, ki sta bistveno vplivala na svetovne trge ter s tem tudi na slovensko kmetijstvo, tako na strani proizvodnih virov kot na odkupne cene kmetijskih proizvodov. Z uporabo bioekonomskega kmetijskega modela SiTFarm, ki temelji na metodah matematičnega programiranja, smo na ravni tipičnih kmetijskih gospodarstev proučili spremembe v ekonomskem položaju ter v strukturi stroškov in prihodkov ob različnih scenarijih v opazovanem obdobju. Analiza petih različnih kmetijskih gospodarstev je pokazala, da kmetije z zmogljivejšo opremljenostjo, optimiziranimi procesi ter večjo diverzifikacijo proizvodnje dosegajo boljše ekonomske rezultate in so posledično odpornejše na cenovna nihanja.

Language:Slovenian
Keywords:kmetijstvo, agrarna ekonomika, poljedelske kmetije, cenovna nihanja, poslovanje, ekonomski modeli
Work type:Master's thesis/paper
Typology:2.09 - Master's Thesis
Organization:BF - Biotechnical Faculty
Year:2025
PID:20.500.12556/RUL-171088 This link opens in a new window
COBISS.SI-ID:244948483 This link opens in a new window
Publication date in RUL:02.08.2025
Views:467
Downloads:168
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Secondary language

Language:English
Title:Consequences of price fluctuations on the operations of selected types of agricultural farms.
Abstract:
Arable farms are characterised by specialised crop production in which market conditions, weather factors and the availability of production resources play a decisive role. In recent years, their performance has been significantly affected by global shocks, particularly the COVID-19 pandemic and the war in Ukraine. The pandemic initially reduced production costs, but had a negative impact on markets and distribution chains, while the war led to a sharp increase in costs due to higher energy and raw material prices. Nevertheless, the high sales prices in 2022 enabled the companies to achieve favourable business results, which were not repeated in subsequent years. In addition, there were agricultural policy changes during this period, such as the abolition of coupled support for grain production, which further impaired the economic situation of arable farms. This master's thesis analyses the effect of price volatility on the economic performance of selected typical arable farms in Slovenia in the period 2018–2024. Particular attention is paid to the consequences of two major external shocks: the COVID-19 pandemic and the war in Ukraine, which have significantly affected both global input and output markets and thus also Slovenian agricultural systems. Using the bioeconomic farm model SiTFarm, which is based on mathematical programming methods, we analysed the changes in the economic situation, cost and yield structures under different scenarios at the level of typical farms. The analysis of five different typical agricultural systems shows that farms with better mechanisation, optimised farm management and greater production diversification achieved better economic results and were therefore more resilient to price fluctuations.

Keywords:agriculture, agricultural economics, arable farms, price volatility, management, economic models

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