Household access to the public electricity grid in Cameroon: Analysis of connection determinants |
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| Affiliation: | 1. Faculty of Economics and Applied Management of University of Douala, Research Group in Economics and Management (GREG), Theoretical and Applied Economics Laboratory (LETA), P.O Box: 4032, Douala, Cameroon;2. ESSEC, Business School of University of Douala, Centre for Agricultural Research, Innovation and Development (CARID), Research Group in Economics and Management (GREG), P.O Box: 1931, Douala, Cameroon;1. Department of Sanitary and Environmental Engineering, Federal University of Minas Gerais, Av. Antônio Carlos 6627, Belo Horizonte, MG, 31270-901, Brazil;2. René Rachou Institute, Oswaldo Cruz Foundation, Av. Augusto de Lima, 1715, Belo Horizonte, MG, 30190-002, Brazil;1. Division TME, Department of Mechanical Engineering, KU Leuven, Celestijnenlaan 300, 3001, Leuven, Belgium;2. EnergyVille, Thor Park 8310 & 8320, 3600, Genk, Belgium;1. University of Verona, Department of Business Administration, Verona, Italy;2. University of Padova, Department of Industrial Engineering, Padova, Italy;1. Department of Natural Resources and Environmental Management, University of Haifa, Israel;2. Department of Geography and Environmental Studies, University of Haifa, Israel;3. Data Scientist, Coliban Water, Bendigo, Australia;1. College of Economics, Shenzhen University, Shenzhen, (518060) Guangdong, PR China;2. Department of Strategic Studies, Faculty of Contemporary Studies, National Defence University, Islamabad, Pakistan;3. Department of Quantitative Methods, Faculty of Management, Rzeszow University of Technology, (35-959) Rzesow, Poland;4. Department of Business Administration, IQRA University, Karachi, (75300) Sindh, Pakistan;5. College of Management, Shenzhen University, Shenzhen, 518060, Guangdong, PR China |
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| Abstract: | This article empirically examines the determinants of household access to the public electricity grid in Cameroon, using data from a survey conducted by NIS (2014) on a sample of 46560 households. The key findings reveal that social class, housing tenure, education level, area of dwelling, and distance to the electric pole all have a substantial (p 0.001) influence on public grid connection. According to multinomial logistic regression estimates, the main significant predictors of individual connection to the public grid are: residing in a villa (43.27%), higher education (34.91%), and home ownership (34.27%). Furthermore, the main significant predictors of connection without a personal subscription or through intermediaries are: residing in a concession area (42.44%), living in the western region (35.13%), and poverty (25.60%). Finally, the male gender (15.55%) and the home's distance from the electric pole of more than 8 m (9.24%) are the primary predictors of direct connections without a meter. Our findings suggest that increasing the household's access to its own housing and increasing educational attainment could raise formal demand for individual grid subscriptions. Increased investment in electricity distribution infrastructure, particularly in outlying areas, would also benefit public authorities. |
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| Keywords: | Electricity grid Household connections Multinomial logit |
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