Determinants of renewable energy consumption in Madagascar: Evidence from feature selection algorithms

Franck Ramaharo and Michael Fitiavana Randriamifidy ()
Additional contact information
Michael Fitiavana Randriamifidy: Université d'Antananarivo

Working Papers from HAL

Abstract: The aim of this note is to identify the factors influencing renewable energy consumption in Madagascar. We tested 12 features covering macroeconomic, financial, social, and environmental aspects, including economic growth, domestic investment, foreign direct investment, financial development, industrial development, inflation, income distribution, trade openness, exchange rate, tourism development, environmental quality, and urbanization. To assess their significance, we assumed a linear relationship between renewable energy consumption and these features over the 1990-2021 period. Next, we applied different machine learning feature selection algorithms classified as filter-based (relative importance for linear regression, correlation method), embedded (LASSO), and wrapper-based (best subset regression, stepwise regression, recursive feature elimination, iterative predictor weighting partial least squares, Boruta, simulated annealing, and genetic algorithms) methods. Our analysis revealed that the five most influential drivers stem from macroeconomic aspects. We found that domestic investment, foreign direct investment, and inflation positively contribute to the adoption of renewable energy sources. On the other hand, industrial development and trade openness negatively affect renewable energy consumption in Madagascar.

Keywords: Madagascar; renewable energy consumption; machine learning; feature selection algorithm; Renewable energy (search for similar items in EconPapers)
Date: 2023-10-27
Note: View the original document on HAL open archive server: https://hal.science/hal-04262240
References: Add references at CitEc
Citations:

Downloads: (external link)
https://hal.science/hal-04262240/document (application/pdf)

Related works:
Working Paper: Determinants of renewable energy consumption in Madagascar: Evidence from feature selection algorithms (2023)
Working Paper: Determinants of renewable energy consumption in Madagascar: Evidence from feature selection algorithms (2023)
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:hal:wpaper:hal-04262240

Access Statistics for this paper

More papers in Working Papers from HAL
Bibliographic data for series maintained by CCSD ().