Foreign direct investment, economic growth and environmental quality in Africa: revisiting the pollution haven and environmental Kuznets curve hypotheses
Why this work is in the frame
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Bibliographic record
Abstract
Purpose This study examines the environmental effects of foreign direct investment (FDI) inflows and economic growth by revisiting the pollution haven and EKC hypotheses in the context of Africa. Design/methodology/approach The underlying relationships are unravelled with the help of quantile regressions for a panel of 46 African countries over the 1996–2022 period. Findings The results show that FDI inflows significantly increase CO2 emissions, supporting the pollution haven hypothesis (PHH) in Africa. There is also evidence of the N-shaped EKC hypothesis. When analysing different income groups, PHH and EKC remain consistent, except in low-income countries where only PHH is observed. However, the environmental impact of FDI inflows and economic growth decreases at higher quantiles. These findings suggest that policymakers in Africa should strengthen environmental regulations and adopt common environmental standards that encourage green technologies. Originality/value This study fills an empirical research gap by comprehensively examining the relationship between FDI, economic growth, and environmental degradation in African countries. Unlike previous studies focused on the inverted U-shaped EKC, our research reveals the existence of an N-shaped EKC in Africa.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it