Analyse des determinants de la demande résidentielle d’électricité à Pointe-Noire au Congo-Brazzaville
- Country : Republic of the Congo
- Subject : Economic Sciences
Keywords : Analysis, Demand, Electricity, Residential, Congo
Abstract
Electrical energy is an essential component of economic and social development in Congo. Significant resources are mobilized for its implementation, which constitutes a heavy burden on public finances. The objective of this article is to analyze the main determinants of residential electricity demand in Pointe-Noire in Congo. To identify its determinants, we estimated a model, called the CDA (conditional demand analysis) model, is used as indicated in the literature (Agbandji et al., 2020), based on data from the Household Electricity Consumption Survey of the city of Pointe-Noire in Congo. The results show that the probability associated with Fisher's F-test is very low (Prob > F = 0.0000), indicating that the model as a whole is statistically significant at the 5% level. The coefficient of determination (R-squared) is 0.6791, which means that the model explains about 67.91% of the total variance of the dependent variable, including the electrical energy demand (Ln Depcons) of Congolese households, so the model is well specified. To this end, the variables, namely electricity price, hot plate, radio, electric iron, freezer, connection, fan, type of housing, ages, number of bedrooms and household size are the main significant determinants of residential electricity demand in Pointe-Noire in Congo.
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