Partners or Creditors? Attracting Foreign Investment and Productive Development to Central America and Dominican Republic
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Promotion of foreign direct investment (FDI) has been a priority policy goal in Central America, Panama and Dominican Republic for the past twenty years. Fiscal benefits are among the policies that have been used to attract it. At first sight the model followed has been fruitful. In 2013 the eight countries of the region succeeded in attracting US$ 12.7 billion, the highest level of FDI in their history. But there are question marks about how FDI will perform in future and what the incentives to promote it should be now that World Trade Organization rules on the instruments used to promote FDI in the region have changed. The present book analyzes this situation in depth. Firstly, it reviews the importance of FDI in the region as a source of financing for the external deficit. Then it reviews the findings of international economic research on the impact of FDI on growth and the factors that attract it. It highlights that far from being assured, the benefits of FDI depend on complementary factors which are often not present in the region. Subsequently the book analyzes the international evolution of FDI and the growing importance of multinationals of Latin origin. It then tackles the controversial question of the efficacy of fiscal incentives as a means to attract investment, following an innovative technical approach based on firm level data which questions whether the free zones have had a net positive impact on development. This analysis is complemented by a study of investment promotion policies, which focuses particularly on the Investment Promotion Agencies. Finally, the book outlines the prospects for FDI attraction now the sun has set on strategies based on providing fiscal incentives. It argues that a new strategy should be based on the creation of new skills and capacities through instruments designed to complement productive development policies and thereby generate positive spillovers in the economy.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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 it