State capitalism, economic systems and the performance of state owned firms
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 paper, we pursue two related research questions. First, we enquire whether state owned enterprises (SOEs) perform better than privately owned firms in a large variety of emerging markets. To test this, we develop a unique dataset using firm-level data from the World Bank Enterprise Survey (WBES), resulting in a sample of over 50,000 firms from 57 understudied countries including emerging capitalist, former socialist and state capitalist ones. Our results suggest that SOEs do display productivity advantages over private firms in these understudied economies. Our second research question asks whether the performance of state owned firms in these understudied countries is context specific, namely whether performance depends on the institutional system into which a country is classified. We refer to these systems as configurations. In particular, we are interested in whether state owned firms perform better in “state capitalist” countries including China and Vietnam. We find empirical support for the argument that the “state-led” configuration provides better institutional support for the ownership advantages of SOEs than others.
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 | 0.000 |
| 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