Iskanje po katalogu digitalne knjižnice

Opis: Purpose: This paper aims to analyse the main variables and causal relationships in the system structure of the diversification of non-agricultural activities on agricultural holdings using system dynamics (SD) modelling. The SD model aims to simulate depictions of the behaviour of the real system while testing the effects of alternative decisions over time. Design/methodology/approach: An SD methodology was chosen to model diversification in farm tourism. Findings: A system approach increases the authors’ understanding of the transition of agricultural holdings to farm tourism. The results indicate that the transition to farm tourism depends on the level of tourism development in a certain area. The system is influenced by subsidies allocated by authorities to expand primary agricultural activities. The model describes a situation in which the tourism and agricultural industries have been affected by the COVID-19 pandemic. Research limitations/implications: The research is limited by the small set of available data due to the limited number of farms in Slovenia. One major problem is the difference in statistical data on the same activity collected from different institutions in Slovenia. Practical implications: The paper includes implications for understanding the transition process to farm tourism, allowing policymakers to experiment with subsidies and promotion to explore the efficacy and efficiency of proposed policies. Originality/value: This study provides a structured, systemic view of the diversification of non-agricultural activities on agricultural holdings, where the simulation results are a reliable reflection of the behaviour of the actual system being modelled.
Ključne besede: system dynamics, modelling, simulation, diversification, farm tourism, farm policy, Slovenia, simulation scenarious
Objavljeno v DKUM: 11.12.2024; Ogledov: 0; Prenosov: 0
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Opis: The content of this paper presents the research results of a three-year research project in which a multi-criteria evaluation model (according to the DEX methodology) was developed for the evaluation of three different food sectors (represented by a cattle breeding chain, a pig farming chain, and a milk production chain) with added value in Slovenia. Indicators for the assessment of the economically, socially, and environmentally sustainable development of food chains were taken into account. The data for the analysis, such as prices and costs of food, wage levels by sector, food miles and others, were obtained from various public services between 2020 and 2023. The final qualitative assessment of the food sectors was uniform (“average”), while the longest analysis of the results using the plus-minus-1 analysis method showed the reasons for such an assessment in individual sectors (such as the ratio between the price of agricultural products and the price of agricultural inputs is poor, the ratio between average gross salary in the individual food sector and gross salary in the agricultural sector is poor, etc.). In addition to the results already mentioned, recommendations or suggestions for building a sustainable food chain were made using the results of the modelling. The research results contributed to a better understanding of the importance of stable relationships between different groups of indicators and later showed their importance for improving the functioning of agri-food chains. The results of the research will help various stakeholders (such as the agricultural advisory service, decision-makers at the level of agricultural policy, researchers in further analyses, and especially the international professional public interested in various case studies from EU countries) to further analyse and plan for the organisation of the agricultural sector.
Ključne besede: food sectors, value added, DEX methodology, plus-minus-1 analysis, Slovenia
Objavljeno v DKUM: 29.11.2024; Ogledov: 0; Prenosov: 4
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Opis: Program Farm Manager je spletno orodje, ki se osredotoča na optimizacijo kmetijske proizvodnje v Sloveniji in omogoča kmetom boljše načrtovanje, optimizacijo proizvodnih procesov in enostavnejše upravljanje kmetijskih gospodarstev s centralizacijo ključnih podatkov. Cilj naloge je raziskati uporabo programa, identificirati njegove pomanjkljivosti in predlagati možne izboljšave. S SWOT analizo smo preučili prednosti, slabosti, priložnosti in nevarnosti sistema. Program izstopa zaradi tehnične naprednosti, vsestranskosti in podpore kmetijskim svetovalcem. Vključuje podatkovno podprto odločanje, kar povečuje konkurenčnost kmetij. Uvedba programa na srednje veliki poljedelski kmetiji s pridelavo ekološke pire je pokazala, da program omogoča natančno spremljanje finančnih kazalnikov in izboljšanje produktivnosti. Ekološka pridelava pire, ki vključuje predelavo v izdelke, kot so pirina polnozrnata moka, povečuje dodano vrednost pridelka in ciljne skupine kupcev. Raziskava poudarja pomen tehnoloških inovacij za trajnostno kmetijstvo in zmanjšanje negativnega vpliva na okolje. Pričakujemo nadaljnjo rast digitalizacije v kmetijstvu, kar bo kmetom omogočilo izboljšano upravljanje njihovih gospodarstev in prilagajanje sodobnim izzivom. Ugotavljam, da je Farm Manager ključno orodje za digitalizacijo kmetijstva, saj omogoča optimizacijo proizvodnje, centralizacijo podatkov in s tem povečuje konkurenčnost kmetijskih gospodarstev. Predvidevam, da bo program Farm Manager v prihodnosti postal nepogrešljiv del kmetijskega sektorja, saj bo z nadaljnjim razvojem digitalnih tehnologij še bolj učinkovito podpiral kmete pri optimizaciji njihovih proizvodnih procesov in upravljanju virov.
Ključne besede: Farm Manager, optimizacija kmetijske proizvodnje, digitalizacija kmetijstva, centralizacija podatkov, konkurenčnost kmetij.
Objavljeno v DKUM: 10.10.2024; Ogledov: 0; Prenosov: 12
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Opis: In this work, a new multi-criteria model for the evaluation of traditional and indigenous horse breeds, the HORQUAL model, was developed by applying the DEX (Decision Expert) method. The idea for this study culminated from brainstorming among researchers who had the importance of conserving traditional and indigenous horse breeds in Slovenia and their universal uses (recreative and sport) in mind. The conservation of native domestic animal breeds is one of the important indicators of sustainable agricultural development in particular countries. Here, the assessment process considered the horse breeds in terms of lifestyle, expectations, requirements and experiences. The development process was based on the multi-criteria decision analysis approach, and it was applied to seven traditional and indigenous Slovenian horse breeds. The horse breeds were classified into four groups of breed ratings according to the chosen criteria. The horse breeds were categorised as follows: “does not correspond to the criteria”, “less correspondence with the criteria”, “corresponds to the criteria” and “completely corresponds to the criteria”. The results of the HORQUAL model clearly show that it is easier and more effective to choose the most suitable breeds for specific purposes (i.e., recreative/sport horses with the potential for breeding along with acceptable costs, favourable temperament and suitable price) as they can easily be analysed or compared with each other, according to the criteria chosen in this paper. The rating by group takes the criteria for the multi-attribute evaluation that were identified by an expert group into account and balances between the assessment of recreational and sports needs for riders and the life expectancy for breeders. Additionally, incorporating the Plus-minus-1 analysis proved to be a useful support tool to analyse the assessments and to further improve horse breeding plans.
Ključne besede: traditional horse breeds, indigenous horse breeds, multi-criteria model, DEX-model
Objavljeno v DKUM: 02.07.2024; Ogledov: 132; Prenosov: 31
Celotno besedilo (5,85 MB)
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Opis: This paper examines the efficiency of tourist farms in Slovenia by adopting an approach using a framework of non-parametric programming—Data Envelopment Analysis (DEA) and Analytic Hierarchy Process (AHP), combining the two because the DEA analysis by itself does not take into account all attributes, especially qualitative ones. The beforementioned two methods rank the farm tourism units with respect to their efficiency. By using the DEA method, an input- and output-oriented BCC and CCR model were introduced to upgrade the criteria by including the additional non-numerical criteria of the AHP. The results of the models showed that there are possible improvements on all levels of efficiency, as well as on the criteria of the additional offer of tourist farms, which were analyzed in the AHP model with additional criteria. According to the estimated efficiency, the ranking of tourist farms differed according to the two methods. Within the group of farms assessed as efficient by DEA, the AHP model allowed a more accurate ranking.
Ključne besede: farm tourism, tourist farms, efficiency, data envelopment analysis (DEA), analytic hierarchy process (AHP), Slovenia
Objavljeno v DKUM: 09.04.2024; Ogledov: 281; Prenosov: 19
Celotno besedilo (1,06 MB)
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