Determinants of Green Energy Penetration in N-11 Countries: A Machine Learning Analysis
Najabat Ali; Md Reza Sultanuzzaman · 2026 · Energies
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract
This study investigates the determinants of green energy penetration in the Next Eleven (N-11) economies over the period 2000–2022, with a particular focus on the roles of foreign direct investment (FDI), green transition, governance quality, industrial growth, and urbanization. The primary objective of the study is to assess how investment flows, structural transformation, and institutional capacity jointly shape the adoption of renewable energy in fast-growing emerging economies. To achieve this goal, the study employs a second-generation panel econometric and machine-learning framework that
Abstract by Najabat Ali; Md Reza Sultanuzzaman, Energies (2026) — licensed CC BY 4.0.
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Metadata source: OpenAlex · DOI 10.3390/en19020541