The diffusion of organic farming practices is modeled by a generic agent model ( Borchev and Filippov, 2004) based on Theory of planned behavior for understanding and modeling the farmers decision making process. Hence, the authors ( Kaufmann et al., 2009) adopted the approach of isolating parts of a system and examining it assuming that all other things are equal. However, attempting to consider the complex interactions of all factors in a single model is not a productive approach. There are many factors, such as farm type and soil quality, that might influence farmers' decisions. Their approach is illustrated with a regional model that has been developed to simulate agricultural development in the Koutiala region in the south-western part of Mali. Bontkes and Van Keuler (2003) argue that the study of agricultural systems requires the use of non-linear dynamic models that allow simulation of the system in a qualitative way, based on a description of the underlying processes. maximisation of income and leisure and minimisation of risk) and constraints (e.g. It allows determination of an optimal allocation of land, labour and capital, given a set of goals (e.g. Mathematical programming is frequently applied in farm planning. Although econometric models have a great methodological value and forecasting capabilities the modeler must ensure relatively long and consistent data series that are rarely available. At the national and regional level we often encounter econometric models that can efficiently reflect the situation in agricultural systems and can also be used for forecasting policy consequences ( Akinwumi et al., 2000, Turk (1998)). Boorsma (1990) distinguishes three approaches in modelling the behaviour of the farmer: econometric modelling (based on linear regression equations of a data set) mathematical programming and modelling decision processes based on decision rules. Also, technologic economic simulation at farm level and multicriteria decision analysis are often used for decision support at farm level ( Rozman et al, 2005 Pažek et al, 2006). Organic agriculture represents a complex system at national level ( Shi and Gill, 2005) and different modeling approaches have been described in the literature (farm level, regional level and national level). In this light the conceptual methodological approach for evaluation of development policies for organic farming must be developed. The consequences of policies are long term and irreversible. This alternative agricultural paradigm may provide the link between objectives of sustainable resource use and sustainable regional development. With respect to terms of multifunctionality, organic agriculture is the highest environmentally valuable agricultural system ( Rozman et al., 2007a, 2007), and has strategic importance at national level that goes beyond the interests of agricultural sector. Contemplated as a whole, any sound agricultural reform would entail not only necessary positive shifts in economic efficiency levels concerning the production and processing of food, but should specifically address some key socio-economic issues that are at the core of preserving and maintaining the ecological balances in the Slovene countryside with biodiversity becoming an increasingly important agricultural policy concern ( Ivančič et al., 2003). One way of emulating the prevailing EU policy reform trends is also to support and encourage organic farming, which is gaining in importance in Slovene agricultural production. Agricultural activity, beyond its primary function, can also shape the landscape, provide environmental benefits such as land conservation, sustainable management of renewable natural resources and preservation of biodiversity, and contribute to the socioeconomic viability of many rural areas ( Majkovič et al., 2005).
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