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Assessment of community sustainable livelihoods capitals for the implementation of alternative energy technologies in Uganda – Africa.

Authors :
Mukisa, Nicholas
Zamora, Ramon
Lie, Tek Tjing
Source :
Renewable Energy: An International Journal. Nov2020, Vol. 160, p886-902. 17p.
Publication Year :
2020

Abstract

Sustainable livelihoods approach is progressively being applied in feasibility assessment for implementation of alternative energy technologies in developing countries. In this study, an evaluation model for assessing the sustainable livelihoods capitals, namely, social, natural, financial, physical and human capitals by utilizing interpretive structural modeling approach and MICMAC analysis is proposed. The study's emphasis was centred on evaluating the current status of the community's sustainable livelihoods capitals and predicting the impact of implementing alternative energy technologies on the community's capitals. The proposed model was used for the case of Uganda, a developing country in Sub-Saharan Africa and the modeling results revealed that currently social capital and financial capital at 0.482 and 0.460, respectively, are the most developed sustainable livelihoods capitals in Uganda. The evaluated average value of 0.401 for the predicted current status of capitals by the proposed model is in close agreement with previous studies' findings. Also, of the evaluated alternative energy technologies for implementation in Uganda, rooftop solar PV systems emerged as the best option followed by ground-mounted solar PV systems. The proposed model is replicable and applicable for any location with the utilization of the appropriate datasets of that location under consideration. • Linked interpretive structural model, MICMAC and sustainable livelihoods framework. • Identified key community capitals' enablers and their interdependence. • Implemented the model to assess the alternative energy technologies in Uganda. • Found out that rooftop solar PV is the best alternative energy for Uganda. • Proposed a general model that is replicable and applicable for any location. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
09601481
Volume :
160
Database :
Academic Search Index
Journal :
Renewable Energy: An International Journal
Publication Type :
Academic Journal
Accession number :
145760082
Full Text :
https://doi.org/10.1016/j.renene.2020.06.132