Principal component regression analysis of electricity consumption factors in Madagascar

Ramaharo, Franck M. and Rajaonarison, Njakanasandratra R. (2023): Principal component regression analysis of electricity consumption factors in Madagascar.

Abstract

We carry out principal component regression analysis on a dataset consisting of selected relevant economic and energy indicators in order to identify the main driving factors impacting the electricity consumption in Madagascar. Our results show that in accordance with the country's current energy profile, factors related with rural electrification have the most influence on electricity consumption in Madagascar.

• Item Type: MPRA Paper
• Language: English
• Keywords: principal component analysis; principal component regression; electricity consumption
• Subjects: C - Mathematical and Quantitative Methods > C3 - Multiple or Simultaneous Equation Models ; Multiple Variables > C38 - Classification Methods ; Cluster Analysis ; Principal Components ; Factor Models; C - Mathematical and Quantitative Methods > C5 - Econometric Modeling > C51 - Model Construction and Estimation; Q - Agricultural and Natural Resource Economics ; Environmental and Ecological Economics > Q4 - Energy > Q43 - Energy and the Macroeconomy

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