A Study on the Contribution of 12 Key-Factors to the Growth Rates of the Region of the East Macedonia-Thrace EMTH by Using a Neural Network Model

Authors:
E. Stathakis;M. Hanias;P. Antoniades;L. Magafas;D. Bandekas
Affiliations:
Kavala Institute of Technology, Greece;University of Athens, Greece;Kavala Institute of Technology, Greece;Kavala Institute of Technology, Greece;Kavala Institute of Technology, Greece
Venue:
International Journal of Productivity Management and Assessment Technologies
Year:
2012

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Abstract

This study gives a new methodological framework regarding the measuring of the contribution of some key-factors on the regional growth rate and forecasting the future development rates, based on Neural Network Models NN Models. It's a serious attempt to study the contribution of twelve key-factors to the change of the Regional Gross Domestic Product of the Region of East Macedonia -Thrace during a long-term of growth process, by creating and using a suitable Neural Network Model. Specifically, twelve key-factors, time functioned in the period 1991-2008, are studied for the first time, in order to be investigated, scientifically, firstly their % contribution to growth of the regional economy and secondly, to be predicted how much the Regional Growth Domestic Product RGDP-under certain conditions-will be changed. It's a NN Model with inputs the twelve key-factors in order to be evaluated and measured, at the best precise, their percentage contribution to the RGDP. The model and results can be found further into the article.