How much does industry matter to firm performance in emerging countries?
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
In this article, we contribute to understanding of country, industry and firm effects on performance by examining heterogeneity in the profitability of corporations from both emerging and developed economies. Using a linear regression method that accounts for cross classifications, mixed effects, and auto correlation, we analyze 137,858 observations on the return on assets of 25,149 firms in 42 sectors of 65 countries during the period from 2000 to 2007. The results indicate that the components of performance in emerging markets differ significantly from developed economies in systematic ways: (1) country effects dominate industry effects on performance; (2) emerging-market corporations face significantly greater volatility in returns, with the temporary components of profitability more significant than the permanent components; and (3) idiosyncratic, firm-specific effects dominate all other effects on performance for emerging-market companies. We interpret these differences to suggest their specific implications for business and public policy.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.004 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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