Economic Transition and Cross-border Mergers & Acquisitions: The Indian Experience among BRICs
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This paper analyzes the market for cross-border mergers and acquisitions of Asian emerging economy-India during the period 1991–2010. We compare Indian market performance among BRIC economies (Brazil, Russia, and China) for both inbound and outbound acquisitions. To do so, we use statistical data on overseas investment transactions from the UNCTAD’s World Investment Report-2011, and discuss potential changes in the market tendencies based on inductive/deductive logics and case examples. We check macroeconomic indicators of BRICs in order to support the economic, banking and financial reforms in India. Further, we highlight the internationalization process of Indian firms by supporting the data on parent corporations and foreign affiliates. We draw conclusions from India’s share as a percentage of the world economy, developing economies, BRICs and Asia. Overall, India is next to China for all selected categories.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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