Impact of FDI on Import Demand and Export Supply Functions of Pakistan: An Econometric Approach
Why this work is in the frame
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Bibliographic record
Abstract
FDI tends to increase the host country’s imports, because Multi-National Corporations (MNCs) often have a high tendency to import intermediate inputs, capital goods and services that are not readily available in the recipient countries as well as it also affect exports from the export supply side. We investigated the relationship between foreign direct investment (FDI) and imports demand as well as between foreign direct investment (FDI) and exports supply of Pakistan for the time span of 37 years range from 1973 to 2009. Our analysis emphasized on the existence of long run equilibrium relationship between FDI and imports demand & exports supply of Pakistan using econometric techniques (Co-integration Analysis and Error correction mechanism). The co-integration analysis of import demand showed stable long run equilibrium relation-ship between real import and FDI results of export expressed that FDI has positive relation with real exports in the long run, but the coefficient is statistically insignificant. It suggested that the inflow of FDI has largely been directed toward import-substitution industries or production for the domestic market while little has gone toward export-oriented industries. That is long run policies will be fruitful to be implemented. While the short term dynamics as analyzed by the error correction mechanism (ECM) revealed that the short term discrepancies were significant enough to not to converge toward equilibrium and will require a longer time to adjust back in both model. Unilateral causality was detected between real imports (RIM) and FDI which was established both by theoretic
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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 it