A Genetic-DEA Approach to Reveal Property Rights Priorities
Subject Areas : International Journal of Data Envelopment Analysis
Mehdi
Mehdi Namazi
1
(Department of Progress Engineering, Iran University of Science & Technology,
Tehran, Iran)
Emran
Mohammadi
2
(Department of Industrial Engineering, Iran University of Science & Technology,
Tehran, Iran)
Keywords: Property Rights, DEA, Genetic Algorithm, Fuzzy Clust,
Abstract :
In this paper we have applied Genetic-DEA modelling to help decision makers improve national economic performance through enhancing intellectual property rights indices. We categorized countries applying a novel classification approach and applied genetic algorithm and data envelopment analysis for modelling the relativity of property rights behavior of nations to their economic productivity. We also present a new concept as the uncertainty factor for priority suggestions to have a confidence factor tailored for each specific country for priority recommendations. The results of our research indicate that rich countries shall let people easy access to loans and fight copyright piracy afterwards. Middle income countries have to first enhance the independency of their judicial system and thenceforth respect intellectual property rights. Subsequently, they need to enhance their political stability. Countries that pay few respects to property rights shall boost judicial independence as the first priority and then advance the protection of physical property rights. Poor countries are advised to enhance registering properties and then focus on the rule of law.
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