Impact of FDI and Electricity on the Economic Growth of Pakistan: A Long Run Cointegration and Causality Analysis
Bibliographic record
Abstract
Since the 1980s, analysts have been debating the effect of foreign direct investment (FDI) and electricity consumption (EC) on the economic growth (GDP) of developing countries. The purpose of the study is to estimate the long-run relationship between FDI, electricity consumption and GDP of Pakistan for the period of 1971 to 2017, using ARDL bounds testing, FMOLS and Canonicals cointegration regression. For causality analysis, the study uses a VECM approach for short-run causality directions and MWALD/Toda Yamamoto approach for the long-run causality directions. The cointegration results of all the approaches state that there exists a positive and significant long-run relationship between the concerned variables. The impact of electricity consumption on economic growth is very strong as compared to FDI. Moreover, in the short-run, there is a unidirectional causality running from FDI to GDP and GDP to EC. In the long-run causality, the study finds unidirectional causality for FDI and bidirectional causality for EC with GDP.
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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 | 0.001 |
| 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 | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".