Inventive concentration in the production of green technology: a comparative analysis of fuel cell patents
Bibliographic record
Abstract
Patterns of ‘inventive concentration’ in green technologies are measured and analysed using patent data on fuel cells — potentially one of the most important ‘green’ technologies. Six measures are described and tested: the coefficient of variation; the Herfindhal index; the 4-firm and 8-firm concentration ratios; the Lotka coefficient; and the Gini coefficient. Initially, the analysis focuses on US firms but becomes comparative to include Japan, Germany, UK, France, Canada, Australia, Switzerland, Italy, Sweden, Netherlands, and Israel. This allows the level of agreement among the various measures to be assessed and the nations to be ranked in terms of the concentration of their fuel cell patent production. This sector is concentrated in all 12 nations with Canada (Sweden) exhibiting high (low) levels of concentration across all measures. These are discussed in the context of recently published international ratings of national innovative capacity along with directions for future research. Copyright , Beech Tree Publishing.
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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 | 0.003 | 0.019 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.015 | 0.018 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".