Foreign Direct Investment Spillovers and the Absorption Capabilities of Domestic Firms in the Argentine Manufacturing Sector (1992-2001)
Bibliographic record
Abstract
Argentina received large amounts of FDI inflows during the 90s. At the same time, deep structural reforms were introduced, forcing domestic firms to rapidly undertake restructuring processes in order to adapt to the new economic and institutional environment. This paper explores to what extent FDI helped or hindered those restructuring processes, analyzing whether positive (or negative) productivity spillovers arose from the increasing presence of TNCs affiliates. We found that TNCs affiliates have higher productivity levels than domestic firms and that the latter, on average, received neither positive nor negative horizontal and vertical (backward) spillovers from the growing presence of foreign firms in the local economy. However, we also found that domestic firms with high absorption capabilities reaped positive spillovers from TNCs presence while those with low absorption capabilities were more likely to receive negative spillovers. These findings suggest that those capabilities are key determinants of the possibilities of domestic firms to take advantage of incoming FDI flows into their countries.
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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 | 0.000 | 0.000 |
| 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 | 0.001 |
| 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 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".