Noufelie Romus from the World Trade Review Dataverse provides data for a study on the effect of Global Value Chain (GVC) participation and institutional quality on Multidimensional Energy Poverty (MEPI). The dataset covers 51 African countries over the period 1998-2018 and includes indices for GVC, institutional quality, and MEPI, which measures poverty in electricity, clean cooking fuel, and technology. The study employed the DCCE-ARDL approach and robustness checks using quantile regression.
Use Cases
- Modeling the relationship between global trade integration and energy poverty based on GVC and MEPI indices.
- Analyzing the conditional effect of institutional quality on energy poverty outcomes in urban and rural areas.
- Investigating the long-run and short-run dynamics of energy poverty reduction using the DCCE-ARDL methodology.
- Conducting robustness checks on development economics models using alternative measurements of institutional quality and energy poverty.
Strengths
- Data covers 51 African countries, providing a broad regional scope.
- Temporal coverage spans 21 years from 1998 to 2018.
- Analysis employs multiple methodologies including DCCE-ARDL and quantile regression for robustness.
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count is unknown, which may limit suitability assessment.
- Description metadata is limited; actual data quality requires manual inspection after download.
Provenance
- Source
- World Trade Review Dataverse, author Noufelie Romus.
- Collection Method
- Likely contains aggregated country-level indices (GVC, QI, MEPI) for analysis.
- Time Range
- 1998-2018
- Freshness
- Last updated 2026-05-18 14:17:22; freshness should be verified.
- Geography
- 51 African countries