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1.
A Multi-criteria decision analysis framework tool for the selection of farm business models on organic mountain farms
Karmen Pažek, Črtomir Rozman, Franc Bavec, Andreja Borec, Martina Bavec, 2010, izvirni znanstveni članek

Opis: Mountain regions are important producers of organic food. For them, reliable decision making regarding business planning necessitates different critical support methods. KARSIM 1.0 (DSM) is a methodology based on an integrated deterministic simulation system application for decision-making support, consisting of 74 deterministic production simulation models. DSM enables different types of cost and financial feasibility calculations for organic production and food processing. KARSIM 1.0 was used to simulate three specific business alternatives for mountain organic farms. (Alternative 1: spelt grain, fruit cider, wine and brandy, plum brandy, calves meat and sheep-soft cheese production, Alternative 2: spelt flour, pear and apple juice, plum brandy, veal and sheep's milk, Alternative 3: spelt grain, dried fruit, calves, soft and hard sheep cheese). Simulation model results were compared using two multi-objective analysis methods: the analytical hierarchical process (Expert Choice Decision Support System software) and DEX-i method. the results showed the bigest multi-objective decision evaluation for alternative 2 (Expert Choice = 0.361 and DEX-i evaluation = excellent). We can conclude that the combination of a deterministic cost simulation model and multi-criteria decision analysis present an acceptable decision support tool for mountain organic farms; however, further research is desirable.
Ključne besede: simulation modeling, KARSIM 1.0, MCDA, DEXži, analytical hierarchical process, mountain organic farms
Objavljeno: 05.06.2012; Ogledov: 1407; Prenosov: 76
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The economic viability of value-based food chain for dairy farms in mountain regions
Jernej Prišenk, Andreja Borec, Marjan Janžekovič, Ivo Grgić, Karmen Pažek, Črtomir Rozman, Jernej Turk, 2016, izvirni znanstveni članek

Opis: The attention of this paper is drawn to analyze the economic potential of involvement of farmers into the small-medium sized value-based food chain (VBFC). The survey represents a solid data basis from which econometric modelling approach was further developed. Empirical results reveal the positive economic viability on a general level; this means more stable purchase price of raw milk for dairy farms, which are the part of value-based food chain. Results point at inelastic demand for milk and milk related products. Furthermore, there are some accompanying and underlying indirect social benefits, such as production of high-quality food products, more stable and constant demand for raw milk, steady payments and better social situation. The last one is especially important for the farms operating in less-favored mountain areas where the survey was actually conducted.
Ključne besede: mountain dairy farms, demand for milk, Value-based food chain, econometric modelling
Objavljeno: 10.07.2017; Ogledov: 260; Prenosov: 41
.pdf Celotno besedilo (272,24 KB)
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5.
The effect of factors of the socio-geographic structure of mountain farms on succession on these farms
Boštjan Kefo Kerbler, 2009, pregledni znanstveni članek

Opis: The basic premise of this paper is that certain factors of the socio-geographic structure of mountain farms have an influence upon succession on these farms. The conducted survey confirmed this hypothesis. The most prominent influence that was observed included factors that reflect the tradition and the opinions of the householders, and especially that express the economic power of a farm. In the conclusion of this paper, we offer some solutions regarding the problem of succession in Slovene mountain farms. These solutions are not simple, due to the complex mixed rate of influence with respect to the various factors.
Ključne besede: Slovenia, social geography, agrarian geography, rural geography, mountain farms, succession, rural areas
Objavljeno: 20.03.2018; Ogledov: 226; Prenosov: 56
.pdf Celotno besedilo (141,86 KB)
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