Neural Networks and Rules-based Systems used to Find Rational and Scientific Correlations between being Here and Now with Afterlife Conditions
Neural Networks and Rules-based Systems used to Find Rational and
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Loyce V. Omari
This study investigated the effect of sectoral government expenditure on poverty level in Kenya. Private Consumption per capita, a measure of poverty, was the independent variable while education, health, agriculture and infrastructure expenditures were the independent variables. Time series data for the period of 1964-2010 was used and was tested for unit root using Augmented Dickey Fuller test whereby all variables were found to be integrated to I(1). A lag length of three was selected using Vector Autoregressive model. Presence of co-integration was confirmed using the Johansen test which showed there was one co-integrating equation. Vector Error Correction model indicated that there was a stable long run relationship between poverty level and sectoral government expenditure in Kenya. The regression results indicated that agriculture and health expenditures have a positive and significant effect on poverty level while infrastructure expenditure has a negative and significant effect on poverty level. The effect of education expenditure on poverty level was insignificant. It is recommended that the government in Kenya increases expenditure allocation to agriculture and health sectors.
Loyce V. Omari. 2016. \u201cThe Effect of Government Sectoral Expenditure on Poverty Level in Kenya\u201d. Global Journal of Human-Social Science - E: Economics GJHSS-E Volume 16 (GJHSS Volume 16 Issue E2): .
Crossref Journal DOI 10.17406/GJHSS
Print ISSN 0975-587X
e-ISSN 2249-460X
The methods for personal identification and authentication are no exception.
Total Score: 102
Country: Kenya
Subject: Global Journal of Human-Social Science - E: Economics
Authors: Loyce V. Omari, Willy Muturi (PhD/Dr. count: 0)
View Count (all-time): 153
Total Views (Real + Logic): 3891
Total Downloads (simulated): 1850
Publish Date: 2016 07, Fri
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This study investigated the effect of sectoral government expenditure on poverty level in Kenya. Private Consumption per capita, a measure of poverty, was the independent variable while education, health, agriculture and infrastructure expenditures were the independent variables. Time series data for the period of 1964-2010 was used and was tested for unit root using Augmented Dickey Fuller test whereby all variables were found to be integrated to I(1). A lag length of three was selected using Vector Autoregressive model. Presence of co-integration was confirmed using the Johansen test which showed there was one co-integrating equation. Vector Error Correction model indicated that there was a stable long run relationship between poverty level and sectoral government expenditure in Kenya. The regression results indicated that agriculture and health expenditures have a positive and significant effect on poverty level while infrastructure expenditure has a negative and significant effect on poverty level. The effect of education expenditure on poverty level was insignificant. It is recommended that the government in Kenya increases expenditure allocation to agriculture and health sectors.
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