Determination of Effective Policies for Ecological Agriculture Development with System Dynamics and Agent Based Models – Case Study in Slovenia - Efficient Decision Support Systems: Practice and Challenges from Current to Future - page 361

“organic_farms”. The prosperity of the “organic farms” therefore depends on the
“support_resources” which are not only financial means; here the social impact of organic
farming represents the supportive environment which should sustain such an activity which
is in the world of consumption counterintuitive (Forrester, 1961).

Organic_farms

concentration_of_potentional_farms communication information_sprea spread_factor

cum_number_of_farms

ansition_F_based_on_production

comm_successucces_factor

Organic_farms

Population_size

Transitions

Conv_farms

organic_farming_goal
res_per_unit

Whole_production

trans_const

R_of_self_supply Food_demand Ratio

k

Prod_o

Prod_c

development_limit

Organic_farms

Conv_farms

ratio_conv_org

Production_factor_conv Produkcijski_factor_org

application

support_resources

Self_org_support_res

RAPU

addition_to_the_support_resources

Addition_to_self_organization_resources

self_org_spread_DLY

delay initial promotion_factor

Fig. 3. System Dynamics model of Organic Farming Development
Figure 4 shows model examples of model equations. There are 77,000 conventional farms
initially and 1,728 organic farms. The model is realized in Powersim. By the following
equations the model could easily be transformed to other SD tools such as Vensim, iThink,
Stella etc.