Modeling and Simulation Software for Determining Optimal Sectoral Incentive Policies and Increasing Strategic Competitiveness During the COVID-19 Outbreak Process

Economic activities that have slowed down due to the COVID-19 epidemic negatively affect many sectors in our country, and sectoral incentives are applied by the government in order to eliminate these effects. With this project, it is aimed to develop a user-friendly software that will enable the prioritization of sectors according to various factors and that can be easily used by policy makers and all other researchers, in order to support the decisions in question. The most important finding / output of the project is the development of a software program that takes into account the different economic priorities of the policy makers with the weights they will determine and calculates the resource allocation in the sectoral incentives with the limited resources of the government in the most efficient way. Thanks to this software, policy makers and researchers will be able to run complex algorithms written in an advanced programming language using only a simple interface, without any programming knowledge. With this software, it is possible to determine the centrality / criticality degrees in the economic operation in the context of input-output relations between the sectors; In addition to this finding, sectors can be evaluated and graded multidimensionally, together with their degree of impact from the crisis such as turnover and loss of workforce. The developed software reveals the findings regarding which sectors should be prioritized and for how long, in accordance with the priorities of the decision maker and the conditions of the period / up-to-date data. This project prioritizes optimal sectoral incentives according to the economic priorities of policy makers, health and economic conjuncture of Turkey, and therefore offers different optimal results and suggestions according to different criteria and conditions, rather than presenting a single proposal thanks to the software output that comes out. In summary, in the project, a structure that can adapt the economic policy decisions to be taken according to the conditions that may change has been created and it has been suggested that such a structure be used in optimal incentive policies.