The plant‐level view of Korea's growth miracle and slowdown
Bibliographic record
Abstract
Abstract We analyze the evolution of the plant size distribution, static allocative efficiency and business dynamism of the Korean manufacturing sector during its growth miracle (1967–2000) and the subsequent slowdown since 2000. The average plant size has an inverse‐U pattern over time, with a peak in the late 1970s. The measure of static misallocation decreases modestly until 1983 but increases substantially afterwards. These results are at odds with what one may extrapolate from the existing cross‐country evidence on the positive relationship between plant size and economic development or the negative one between static misallocation and development. We also find that the growth rate of manufacturing productivity is not systematically correlated with either the level or the rate of change of the average plant size or static misallocation. On the other hand, business dynamism, measured by either churning or responsiveness to shocks, diminished significantly since 2000, coinciding with the decline in the growth rate of manufacturing productivity. Our findings call for more systematic research on how economic performance correlates with establishment/firm size distribution and with static and dynamic allocative efficiency.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".