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Multidimensional Modeling of Socioeconomic Indicators in Khartoum State Using Factor Analysis Technique, 1990 - 2011
Current Issue
Volume 5, 2018
Issue 2 (June)
Pages: 14-20   |   Vol. 5, No. 2, June 2018   |   Follow on         
Paper in PDF Downloads: 21   Since Jun. 5, 2018 Views: 1064   Since Jun. 5, 2018
Authors
[1]
Mozamel Elnair Somi Kakitla, Economics and Rural Development Department, Dalanj University, Dalanj, Sudan.
[2]
Eissa Abaker Mohammed Elhaj, Peace and Development Center, Dalanj University, Dalanj, Sudan.
[3]
Abdelaziz Sulaiman Mastoor, Economics and Rural Development Department, Dalanj University, Dalanj, Sudan.
Abstract
This paper focuses on utilizing the concept of socioeconomic indicators for expressing its participation in development. Factor analysis through principal component as a statistical technique is used for modeling, it leads to the identification of a small number of socioeconomic dimensions that summarize adequately the information contained in the original set of variables. The new methodology for socioeconomic modeling enables a much more useful characterization of the territory for policy-making purposes. The statistical data of Khartoum State of the Sudan during 1990 – 2011 were used. In this paper 54 variables of seven complex socioeconomic indicators which reduced into three factors using factor analysis technique, these factors are: Multi-indicators factor which, includes natural, health, and demographic indicators. The second is education factor, which explains the impact of education on the agriculture and the livestock. Industry factor, represents the third factor, and clarifies the effectiveness of industry, petroleum and electricity on services.
Keywords
Factor Analysis, Principal Components, Socio-economic Indicators, Modeling, Khartoum State, Sudan
Reference
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