Contribution of foreign trade on domestic income of Labor intensive developing economy- The case of India
Bibliographic record
Abstract
By an estimate of UNDP the total production of three emerging economics (India, China, Brazil) will surpass the total production of six developed countries (US, UK, Canada, France, Germany and Italy) by 2020. The access technology, information and infrastructure in emerging economics like India has enabled the business fertility to be abreast of the changing consumer and producer behavior patterns. It is fair that the changing pattern of international trade is reflected in production of goods and services within the borders open economy. This change in domestic production pattern of goods and services due to change in pattern of foreign trade is the topic of research analysis of this study. The study is done in three parts. Part one focuses on gross domestic product at factor cost of Indian economy and the changing pattern of contribution of three prime sectors namely agriculture, industry and service sector. Part two focus on pattern of foreign trade of Indian economy since 1950. The final part analysis the change in production within Indian economy due to the change foreign trade off the economy itself. The impact of international trade has been interrupted using aggregation analysis on secondary data taken from central banks database. It is found that exports and imports of merchandise have greater and more significant impact on GDPFC the of invisibles. The findings are exceptional for labor intensive economy which advocates improvement in service to focus on strength.
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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 | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 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 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".