Solyman, A. (2012). A STUDY OF SOME VARIABLES DETERMINE UNEMPLOYMENT RATE IN LIGHT OF HUMAN DEVELOPMENT IN RURAL GOVERNORATES IN EGYPT. Journal of Productivity and Development, 17(2), 171-191. doi: 10.21608/jpd.2012.42463
Ashraf Solyman. "A STUDY OF SOME VARIABLES DETERMINE UNEMPLOYMENT RATE IN LIGHT OF HUMAN DEVELOPMENT IN RURAL GOVERNORATES IN EGYPT". Journal of Productivity and Development, 17, 2, 2012, 171-191. doi: 10.21608/jpd.2012.42463
Solyman, A. (2012). 'A STUDY OF SOME VARIABLES DETERMINE UNEMPLOYMENT RATE IN LIGHT OF HUMAN DEVELOPMENT IN RURAL GOVERNORATES IN EGYPT', Journal of Productivity and Development, 17(2), pp. 171-191. doi: 10.21608/jpd.2012.42463
Solyman, A. A STUDY OF SOME VARIABLES DETERMINE UNEMPLOYMENT RATE IN LIGHT OF HUMAN DEVELOPMENT IN RURAL GOVERNORATES IN EGYPT. Journal of Productivity and Development, 2012; 17(2): 171-191. doi: 10.21608/jpd.2012.42463
A STUDY OF SOME VARIABLES DETERMINE UNEMPLOYMENT RATE IN LIGHT OF HUMAN DEVELOPMENT IN RURAL GOVERNORATES IN EGYPT
Agricultural Extension and Rural Development- Research Institute Agricultural Research Center, Egypt.
Abstract
Unemployment is one of most serious social problems facing Egypt in general and the rural areas in particular. This study aimed to: Identify the difference in the rate of unemployment between 2 groups of rural governments, high level and low level of human development; to identify the effects of education, as intervening variable, on the rate of unemployment; to identify the best causal model explains unemployment which mediated by education index variable. The research depend on available secondary data in Egypt Human development report 2010. Some statistical tools were used as t-test, multiple linear regression, stepwise multiple linear regression and path analysis to determine the best causal model, as well as to determine direct, indirect and total effects on independent and intervening variables The findings revealed that unemployment affected directly by education, and affected indirectly by the percentage of agricultural labor and the population demographic dependency ratio. However, these variables effects on the education index directly and negatively.