Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Vincent Fred Ssennono"'
Autor:
Vincent Fred Ssennono, Joseph M. Ntayi, Faisal Buyinza, Francis Wasswa, Muyiwa S. Adaramola, Sylvia Manjeri Aarakit
Publikováno v:
International Journal of Sustainable Energy, Vol 42, Iss 1, Pp 103-127 (2023)
This study examines the effect of climatic shock and women empowerment on multidimensional energy poverty using panel data from Uganda National Panel Surveys from 2013/14–2019/20, complemented by the World Bank African Rainfall Climatology version
Externí odkaz:
https://doaj.org/article/bf216ae330dd476cacb3bfeed0c2fdd5
Publikováno v:
Frontiers in Energy Research, Vol 9 (2021)
With only 28% of the population having access to electricity, Uganda presents a huge market potential for alternative technologies to provide electricity such as solar PV systems. Using a simple statistical method (neighbourhood approach), this study
Externí odkaz:
https://doaj.org/article/3f41c6d1af5847309343473234980ee7
Autor:
Dramane Bako, Marcello D’Orazio, Silvia Missiroli, Vincent Fred Ssennono, Chiara Brunelli, Talip Kilic, Giulia Ponzini, Flavio Bolliger
Publikováno v:
Statistical Journal of the IAOS. 38:97-110
The 50x2030 Initiative proposes an integrated modular agricultural and rural survey program that promotes the integration of traditional socio-economic household surveys and agricultural surveys in beneficiary countries. An integrated sampling design
Autor:
Francis Wasswa, Joseph Mpeera Ntayi, Muyiwa S. Adaramola, Vincent Fred Ssennono, Sylvia Manjeri Aarakit
Publikováno v:
Journal of Cleaner Production. 329:129619
With over 70% of households without access to clean energy, Uganda presents a huge potential for increased adoption of solar photovoltaic (PV) technologies. However, their uptake is relatively low. This study employs a nationally representative data
Autor:
Chris Ndatira Mukiza, Joseph Mpeera Ntayi, Faisal Buyinza, Sylvia Manjeri Aarakit, Francis Wasswa, Vincent Fred Ssennono
Publikováno v:
Energy Economics. 101:105445
Energy poverty measurement has taken various approaches with the most preferred being Multidimensional in nature. This paper augments the multidimensional energy poverty measurement to estimate a national multidimensional energy poverty index for Uga