Dynamic model for population distribution and optimum immigration and job creation policies

Authors

  • N. U. Ahmed School of Information Technology and Engineering, University of Ottawa, Ottawa Ontario
  • Yongjuan He School of Information Technology and Engineering, University of Ottawa, Ottawa Ontario

DOI:

https://doi.org/10.25336/P63K62

Abstract

In this paper we demonstrate that by use of modern Systems and Optimal Control theory, it is possible to formulate optimum immigration and job creation strategies while maintaining population level close to certain pre-specified targets. With this objective in mind, we consider a simplified dynamic model based on a previous model developed in (Ahmed and Rahim, 2001:325-358) to describe the population distribution in Canada. Numerical results demonstrate that the model population is in close agreement with the actual population. This model was then used to formulate a control problem with immigration and job creation rates being the decision (control) variables. Using optimal control theory, optimum immigration and job creation policies were determined. Results are illustrated by numerical simulation and they are found to be very encouraging.

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Published

2004-12-31

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Section

Articles