The performance implications of patenting – the moderating effect of informal institutions in emerging economies
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
Research has highlighted the role of patenting on firms’ performance without elaborating on how patents can be leveraged to capture value. Drawing on the resource‐based view and institutional theory, this research attempts to extend patenting‐performance debate by examining the moderating effects of informal institutions – or specifically, political ties – on the patenting‐performance relationship. We argue that the leverage of political ties could eliminate uncertainty in patent rights by accessing information, reducing transaction costs, and facilitating bureaucratic arbitration, and therefore leads to better performance. Moreover, considering resource limitations and jurisdictional variations, the benefits of such a moderating approach may be more pronounced in a context characterized by high financial slack or low formal institutional development. Our analysis of panel data from 761 Chinese‐listed companies in the chemical, electronics, and pharmaceutical industries provides supports for both the moderating role of informal institutions on the patenting‐performance relationship and the contingency effects of financial slack and formal institutional development. This paper contributes to patent management literature by elaborating upon the mechanisms of how informal institutions can be leveraged to capture value from firms’ patent portfolios.
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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 | 0.000 |
| 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