How does FDI transmit into domestic investment? Exploring intra-industry and financial channels
Bibliographic record
Abstract
Foreign direct investment (FDI) is often seen as a means to boost domestic investment and, hence, capital accumulation. Yet, the empirical support for such a positive investment effect of FDI is inconclusive. A possible reason is that FDI is often directed towards the financial sector, where capital investment tends to be low. In this paper, we first explore the within-industry relationship between FDI and domestic investment. We then use a novel approach to analyse how FDI into the financial sector transmits into domestic investment by non-financial industries. Using industry-level FDI and investment data from 12 Central and Eastern European countries between 1997 and 2019, we find that about a quarter of FDI into an industry results in domestic investment. Additionally, we document that industries with close links to the financial sector increase domestic investment in the presence of financial FDI, particularly manufacturing, trade and real estate.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".