Vietnam between economic growth and ethnic divergence: A LASSO examination of income-mediated energy consumption
2022 | journal article. A publication with affiliation to the University of Göttingen.
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- Authors
- Maruejols, Lucie; Höschle, Lisa; Yu, Xiaohua
- Abstract
- Ethnic divergence in energy consumption is a phenomenon that threatens the potential gain in welfare that developing countries can achieve with strong economic growth and rise in income. However, the underlying mechanism preventing ethnic groups from accomplishing a successful transition to modern fuels is not yet well-understood, requiring an in-depth analysis of interaction effects between ethnicity and rise in income. The case of highly ethnically-diverse Vietnam offers an opportunity to examine the role of race on energy transition at the stage when grid electricity is available and income begins to rise. A methodological framework exposes the direct effect of ethnicity as well as the indirect, income-related effect of ethnicity on the ability of rural households to increase their electricity consumption. Using data from Vietnam's 2010 Household Living Standards Survey, feature selection is conducted with a machine learning technique, the least absolute shrinkage and selection operator (LASSO), which allows building robust models in the context of high-dimensionality. Furthermore, a mediation analysis complemented with a non-parametric bootstrap approach shows that income acts as a full mediator of ethnicity with respect to electricity consumption and as partial mediator for electricity expenditure. The results thus reveal a positive interaction effect between income and ethnicity, indicating different effects of rising incomes for Kinh and non-Kinh households, where Kinh are more likely than non-Kinh to translate extra income in higher electricity usage. Our results highlight the immanent need to identify and address non-income barriers that create ethnic disparities in the ability of poor, rural households to increase electricity use.
- Issue Date
- 2022
- Journal
- Energy Economics
- Organization
- Department für Agrarökonomie und Rurale Entwicklung
- ISSN
- 0140-9883
- Language
- English