ASEAN and FTAA: External Threats and Internal Institutional Weaknesses
Bibliographic record
Abstract
ASEAN countries perceive the possible formation of the FTAA as a potential threat on the grounds that it may divert export markets and foreign direct investment (FDI) capital to the FTAA region. This effect, together with the “China factor” and the hangover from the 1997 financial crisis, posts a concern to the ASEAN countries' economic growth. We show that, with Singapore as an exception, ASEAN countries are afflicted with state activism, poor property rights protection, and under-developed corporate governance. We argue that a poor institutional environment may exacerbate the effects of an external shock – such as that of FTAA – and thus we need to explicitly incorporate the role of institutional environments in our analysis. We further argue that while FDI flows to locations with market opportunities, a location's institutional environment affects the composition of FDI. Due to ASEAN countries' institutional weakness, its substantial inward FDI has mainly substituted, rather than complemented, local entrepreneurship. As FTAA may divert FDI flows into ASEAN countries, their appropriate response is to improve institutional quality so that the share of the more productive complementary FDI will increase in the total FDI inflows.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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 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".