Water Under the Bridge: Determinants of Franchise Renewal in Water Provision
Bibliographic record
Abstract
Williamson’s 1976 study of natural-monopoly franchise bidding launched extensive debate concerning the degree to which transaction-cost problems afflict government franchising. We propose that municipalities vary in ability to discipline franchisees, and that this heterogeneous ability affects franchise renewal patterns and the quasi-rents that franchisees extract. We study provision of municipal water services in France, a setting characterized by both direct public provision and franchised private providers. We find that small municipalities pay a significant price premium for franchisee-provided water when compared with publicly provided water; in contrast, large municipalities do not pay a premium on average. Further, large municipalities are less likely to renew an incumbent franchisee that charges an price, while small municipalities’ renewal patterns are not influenced by franchisees’ excessive pricing. We interpret the results as evidence that although large municipalities can discipline franchisees and thus prevent extraction of quasi-rents, small municipalities are less able to do so due to weaker outside options. (JEL: H0, H7, K00, L33) (This abstract was borrowed from another version of this item.)
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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 | 0.002 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 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".