Effects of FDI on the Growth of Agricultural Sector in Côte d'Ivoire: An Empirical Analysis Based on Toda-Yamamoto Causality Tests and ARDL Cointegration
Bibliographic record
Abstract
This paper analyses the contribution of Foreign Direct Investment (FDI) to agricultural growth in Côte d'Ivoire over the period 1980-2021. The data come from World Development Indicators WDI (World Bank). The Toda-Yamamoto causality test and the ARDL cointegration approach are used. The results of the Toda-Yamamoto test show no causal link between FDI and agricultural growth, while those of the ARDL approach indicate that FDI has a negative impact on agricultural growth. There are several reasons for these results: insufficient resources allocated to the agricultural sector and the predominance of FDI in other sectors of activity in Côte d'Ivoire. Our results also show the role that the State must play in building infrastructure and increasing foreign trade.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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".