IMPACT OF COVID-19 ON INFLOW OF FOREIGN DIRECT INVESTMENT.
Bibliographic record
Abstract
The World investment report focuses on trends in foreign direct investment (FDI) worldwide, at the regional and country levels and emerging measures to improve its contribution to development. It also provides analysis on global value chains and the operations of multinational enterprises, with special attention to their development implications. The covid-19 pandemic has put the global economy into a recession which means the world economy has started shrinking while India has no exception. In recent years Indian has emerged as one of the most favorite destination for foreign investment. The main purpose of this study is to examine the impact of Covid-19 in the Foreign Direct Investment (FDI) in India. A trend of FDI inflow has been observed with the comparison of pre and post Covid-19 pandemic period. The outcomes show the first quarter of 2020 has worst impact, while after that, due the revised FDI policies and India’s internal capabilities to attract foreign investors, a surge in FDI inflow has been observed. FDI being a constructive force of the economic growth could play an important role in supporting the economy during after the crisis.
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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 | 0.000 | 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 | 0.003 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.018 | 0.003 |
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".