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
Article Fingerprint
ReserarchID
Q2TQH
This article explores migration as a livelihood option in one of the emerging cities in a region that is considered as a development corridor in Ethiopia, Wolaita Sodo. In doing so, it shades light on the major forces behind Rural to Urban migration, migrants’ access to livelihood resources, and major livelihood activities, coping mechanisms, and outcomes achieved. Concurrent mixed research design was used to generate data both from primary and secondary sources. Mix of migration theories from three different perspectives were reviewed and Sustainable Livelihood Framework was applied as an analytical framework to critically examine the problem in its context. Results show that the main factors behind Rural-Urban migration were, poverty and unemployment (95.7%); intermittent income and limited job opportunities (93.2%), limited mobility (80.9%), poor health facilities (80%), shortage of cheap energy sources like electricity (79.1%), seasonality of agricultural employment (74%), and insecurity of asset ownership (73.4%); on the other hand, 100% of surveyed migrants reported that “better outlook and hope for the future,” “hope that there are no poverty and unemployment challenges”, and “hope for better health, education and other services” were the major pull factors; migrants’ vulnerabilities to shocks, trends, and seasonality were highly determined by their available and accessible assets, context within which they are operating and transforming structures which determine their access.
Befikadu Esayas Amphune. 2018. \u201cMigration and Urban Livelihoods A Quest for Sustainability in Southern Ethiopia\u201d. Global Journal of Human-Social Science - B: Geography, Environmental Science & Disaster Management GJHSS-B Volume 18 (GJHSS Volume 18 Issue B3): .
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: 101
Country: Unknown
Subject: Global Journal of Human-Social Science - B: Geography, Environmental Science & Disaster Management
Authors: Befikadu Esayas Amphune (PhD/Dr. count: 0)
View Count (all-time): 181
Total Views (Real + Logic): 3112
Total Downloads (simulated): 1519
Publish Date: 2018 08, Thu
Monthly Totals (Real + Logic):
Neural Networks and Rules-based Systems used to Find Rational and
A Comparative Study of the Effeect of Promotion on Employee
The Problem Managing Bicycling Mobility in Latin American Cities: Ciclovias
Impact of Capillarity-Induced Rising Damp on the Energy Performance of
This article explores migration as a livelihood option in one of the emerging cities in a region that is considered as a development corridor in Ethiopia, Wolaita Sodo. In doing so, it shades light on the major forces behind Rural to Urban migration, migrants’ access to livelihood resources, and major livelihood activities, coping mechanisms, and outcomes achieved. Concurrent mixed research design was used to generate data both from primary and secondary sources. Mix of migration theories from three different perspectives were reviewed and Sustainable Livelihood Framework was applied as an analytical framework to critically examine the problem in its context. Results show that the main factors behind Rural-Urban migration were, poverty and unemployment (95.7%); intermittent income and limited job opportunities (93.2%), limited mobility (80.9%), poor health facilities (80%), shortage of cheap energy sources like electricity (79.1%), seasonality of agricultural employment (74%), and insecurity of asset ownership (73.4%); on the other hand, 100% of surveyed migrants reported that “better outlook and hope for the future,” “hope that there are no poverty and unemployment challenges”, and “hope for better health, education and other services” were the major pull factors; migrants’ vulnerabilities to shocks, trends, and seasonality were highly determined by their available and accessible assets, context within which they are operating and transforming structures which determine their access.
We are currently updating this article page for a better experience.
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo.