Indicating the importance of the Time in population policies implementation using dynamic system modeling

One of the government's duties is to explore and measure the population distribution and construction from quantitative and qualitative point of view in order to plan strategic policies to control and managing thesociety. To achieve such goal, future study methods for modeling dynamic systems can be used. The fluctuation of the dynamic model parameters and numerical results can be simulated and visualized usingproper simulation software to provide a clear view of the system for planners and executives. In this paper through such method, the effect of time which is presented as delay and acceleration of population policies implementation, on fertility rate and total population will be studied. The result of comparing three different statuses shows that for each 5 years delay in implementing short term policies, the probability of expected level of effectiveness will be decreased dramatically. Furthermore, the cost of implementing the same policies will be increased. This contrast is due to the effect of fertility factor which is currently estimated in its maximum level and will be declined as the time passes. Hence, the consequent of postponement in changing fertility behavior which is due to deferment in implementation of population policies will cause weaker results.