The political economy of foreign direct investment—Evidence from the Philippines
Bibliographic record
Abstract
Abstract Much of the conventional wisdom about the political economy of foreign direct investment suggests that many developing country governments lower regulatory and/or legislative standards in order to woo potential investors. Using the case of the tobacco industry's efforts to influence excise tax policy reforms in the Philippines, we find a much more complex reality. Over a period of more than 15 years of concerted efforts and significant financial investment, a large multinational tobacco firm was consistently unable to realize its tax policy goals with serious, negative implications for the firm. In the most recent major policy confrontation over excise tax reform that led to one of the largest tax increases on tobacco products ever in a developing country, a number of major variables mitigated the powerful firm's influence. These variables included strong support for tax reform from a number of influential political actors and a well-organized civil society movement, which led to broader public support for both public health and fiscal reasons. Global governance around economic policy and the effects of domestic institutional structures also had marked effects on the outcomes.
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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 | 0.007 |
| 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 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 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".