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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This study aimed at examining the prevalence of under financing in Local Government Authorities of Tanzania, taking Bahi District Council as a case study. Specifically, the study intended to examine the causes, extent of under financing and effects associated with under financing in LGAs. The study adopted cross sectional design. The case study was also used to get an in-depth data on under financing. Questionnaires were used during survey of 115 heads of households. The documentary review and Focus group discussion were used to collect secondary data and primary data related to under financing respectively. The analysis of data was done using SPSS. The findings of this study revealed that, first, under financing in LGA was triggered by fraud, delay in reporting and heavily depending on donors; second, under financing resulted into a number of negative effects such as inability to provide optimal social and economic services.
Pius Chaya. 1970. \u201cUnder Financing in Local Government Authorities of Tanzania: Causes and Effects: A Case of Bahi District Council\u201d. Global Journal of Human-Social Science - E: Economics GJHSS-E Volume 13 (GJHSS Volume 13 Issue E1): .
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: 108
Country: Tanzania
Subject: Global Journal of Human-Social Science - E: Economics
Authors: Dr. Ahmed Ame, Pius Chaya, Pius John (PhD/Dr. count: 1)
View Count (all-time): 135
Total Views (Real + Logic): 20934
Total Downloads (simulated): 11045
Publish Date: 1970 01, Thu
Monthly Totals (Real + Logic):
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This study aimed at examining the prevalence of under financing in Local Government Authorities of Tanzania, taking Bahi District Council as a case study. Specifically, the study intended to examine the causes, extent of under financing and effects associated with under financing in LGAs. The study adopted cross sectional design. The case study was also used to get an in-depth data on under financing. Questionnaires were used during survey of 115 heads of households. The documentary review and Focus group discussion were used to collect secondary data and primary data related to under financing respectively. The analysis of data was done using SPSS. The findings of this study revealed that, first, under financing in LGA was triggered by fraud, delay in reporting and heavily depending on donors; second, under financing resulted into a number of negative effects such as inability to provide optimal social and economic services.
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