Razvoj večkriterijskega modela za oceno načina pridelave zelenjave v zaščitenem prostoru

Pozderec, Silvo

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Title:	Razvoj večkriterijskega modela za oceno načina pridelave zelenjave v zaščitenem prostoru
Authors:	ID Pozderec, Silvo (Author) ID Pažek, Karmen (Mentor) More about this mentor...
Files:	MAG_Pozderec_Silvo_2012.pdf (1,34 MB) MD5: DE4204B2519E2F176B1B4A8AC1DF5D1A PID: 20.500.12556/dkum/08ef5ef5-2a36-4dbd-b4a0-3f4b0cc0f160
Language:	Slovenian
Work type:	Master's thesis
Organization:	FKBV - Faculty of Agriculture and Life Sciences
Abstract:	Raziskava je v prvi vrsti temeljila na razvoju tehnološko-ekonomskega simulacijskega modela za integrirano pridelavo zelenjave, njene preusmeritve ter ekološko pridelavo tržno zanimivih zelenjadnic (paprika, solata, solatne kumare) v zaščitenem prostoru. S pomočjo razvitih simulacijskih modelov so se v nadaljevanju ocenjevali najpomembnejši ekonomski parametri za posamezno zelenjadnico pri različnem načinu pridelave. Rezultati simulacije so bili dovolj kakovostna informacijska osnova za nadaljnji razvoj odločitvenega modela. Parametri, pridobljeni s pomočjo simulacijskega modela, so nadalje predstavljali vhodne podatke za razvoj večkriterijskega odločitvenega modela. Drugi cilj raziskave je bil razvoj večkriterijskega odločitvenega modela za kvalitativno oceno načina pridelave zelenjave tržno zanimivih zelenjadnic v zaščitenem prostoru. Za pomoč pri vrednotenju pridelave zelenjave v zaščitenem prostoru je bil razvit model na podlagi metode DEX. Rezultati vrednotenja kažejo, da so sprejemljivi vsi trije pridelovalni načini. V raziskavi je bilo ugotovljeno, da je integrirana pridelava zelenjave ekonomsko bolj upravičena kot pridelava v času preusmeritve in da je ekološka pridelava ekonomsko bolj upravičena kot integrirana pridelava. Z analizo občutljivosti razvitega modela smo ugotovili, da kmetijske subvencije nimajo velikega vpliva na končni finančni rezultat posameznega pridelovalnega načina v obdobju preusmeritve ter integrirane pridelave.
Keywords:	tehnološko-ekonomski simulacijski modeli, večkriterijska analiza, DEX metodologija
Place of publishing:	Maribor
Year of publishing:	2012
PID:	20.500.12556/DKUM-36744
NUK URN:	URN:SI:UM:DK:MCSAZDXX
Publication date in DKUM:	26.07.2012
Views:	2977
Downloads:	300
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Categories:	FKBV
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Secondary language

Language:	English
Title:	Development of multi-criteria model for the assessment of vegetable production in protected space
Abstract:	This research is primarily based on the development of a techno-economical simulation model for integrated production of vegetables, its reorientation and ecological production of commercially attractive vegetables (growing pepper, lettuce, salad cucumber) in a protected space. Developed simulation models were then used for evaluation of the most important economical parameters for individual vegetables with various production methods. Simulation results provided an information basis of sufficient quality for further development of the decision making model. Parameters obtained with the help of the simulation model were then used as input data for development of a multi-criteria decision making model. The second goal of this research was to develop a multi-criteria decision model for qualitative evaluation of a production method of commercially attractive vegetables in a protected space. A model, based on the method DEX, was developed to help with evaluation of production of vegetables in a protected space. Evaluation results indicate the acceptability of all three production methods. This research lead to the conclusion that integral production of vegetables is economically more justified than production in reorientation period and that ecological production is ecologically more justified than integral production. Analyzing the reactivity of the developed model, we ascertained the low impact of subsidies to agriculture on the final financial result for individual production method in the reorganisation period and integral production.
Keywords:	technological-economic simulation model, multi-criteria analysis, DEX methodology

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