Roads to Prosperity? Determinants of FDI in China and ASEAN
Bibliographic record
Abstract
Foreign direct investment (FDI) inflows remain an important source of external financing for several countries in the Asian region including China and the Association of South East Asian Nations (ASEAN) bloc of economies. Greenfield FDI inflows particularly have facilitated the development of regional production networks and manufacturing supply chains in Asia. While it is well known that these economies have prioritized infrastructural development as a means of developing their manufacturing prowess, to what degree has the quality of physical infrastructure actually influenced FDI inflows coming into the region? By constructing a panel data for China as well as the ASEAN bloc for two decades from 1995 to 2016, we investigate the importance of infrastructure in determining Greenfield FDI inflows into these economies. Our results strongly suggest that roads emerge as the most robust determinant of Greenfield FDI inflows to China and ASEAN.
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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 | 0.000 |
| 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 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".