Des déterminants de la dynamique entrepreneuriale dans les régions françaises (1994-2003),
Bibliographic record
Abstract
This research aims at appraising the determinants of entrepreneurship dynamics in the French administrative regions over the period 1993-2004. First, we highlight how the regional territory may be considered in a dualistic manner in order to explain the differentials between the regional activities of entrepreneurs. One may consider a regional territory either as an incentive system or as a cognitive system. By modifying individual trade-offs and/or easing the diffusion of information, the regional atmosphere indeed influences personal choices related to new firm creation. This theoretical approach then leads us to specify a dynamic model of entrepreneurial activity at the regional level. Based on Blundell and Bond’s (1998) methodology and on French regional data, we confirm Holcombe’s assumption (1998) that the creation of firms can be mainly explained by itself and can be viewed as an auto-regressive process. We also deduct from our econometric estimations that the unemployment rate and the available income positively impact entrepreneurship activity. Inversely, the size of existing firms may play the role of a barrier to entry into the regional market. Finally, institutional and cultural factors cannot be neglected as potential determinants of the creation of firms at the regional level, as illustrated by the significance of individual fixed effects.
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How this classification was reachedexpand
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 | 0.006 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".