The Contribution of Chinese FDI to Africa's Pre Crisis Growth Surge
Bibliographic record
Abstract
In the 3 years before the 2008 Financial Crisis, GDP growth in sub Saharan Africa (averaged over individual economies) was around 6%, or 2 percentage points above mean growth rates for the preceding 10 years. This period also coincided with significant Chinese FDI flows into these countries, accounting for up to 10% of total inward FDI flows for certain countries in these years. We use growth accounting methods to assess what portion of this elevated growth can be attributed to Chinese inward FDI. We follow Solow (1957), Dennison (1962), and others and use data for individual economies between 1990 and 2008 to calculate Solow residuals for these years for individual economies. We use capital stock data, workforce, and factor share data by country. Capital stock data is unavailable directly, and so we use perpetual inventory methods to construct the data. Factor shares come from UN National Accounts data. We then run counterfactual growth accounting experiments for thirteen Sub-Saharan African countries excluding Chinese FDI inflows for 2005-2007 and also 2003-2009. Our individual results vary by year and country, but there are several year/country combinations where Chinese FDI contributed to an additional one half of a percentage point or above to GDP growth. These results suggest that a significant, even if in some cases small, portion of the elevated growth in sub Saharan Africa in the three years before the Financial Crisis and also in the two years afterwards (2008-2009) can be attributed to Chinese inward investment.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
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 | 0.004 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".