The Impact of FDI Inflows on Poverty Reduction: Empirical Evidence from Egypt
Why this work is in the frame
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Bibliographic record
Abstract
Foreign direct investment (FDI) is a major driver of international economic integration. With the right policy framework, FDI can provide financial stability, promote economic development and enhance the well-being of societies. It is generally considered by many international institutions, politicians and economists, as a factor promoting the economic growth of the recipient/ host country, as well as solving the economic problems of developing countries. This can be achieved through allowing the host country to; improve its competitive position; transfer technology and knowledge between economies; promote its products on a larger scale in international markets. In addition to all these benefits, FDI is considered as an important source of capital for the host country. In the light of this, this paper aims to determine the impact of FDI on poverty in Egypt during the period of 1961 to 2018 using Autoregressive distributive lag model (ARDL) Since there is no single variable that can capture poverty in Egypt, three variables have been used as proxy to poverty which are Household Consumption (POV1), Infant Mortality rate (POV2), and Life Expectancy at birth (POV3). After combining the results, some policy recommendations are proposed to enhance the impact of FDI on poverty reduction in Egypt which in turn affects economic growth.
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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 | 0.000 |
| Open science | 0.001 | 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 it