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Enregistrement W2498222143 · doi:10.55016/ojs/sppp.v9i1.42578

The Theory and Evidence Concerning Public-Private Partnerships in Canada and Elsewhere

2016· article· en· W2498222143 sur OpenAlexaffabout
Matti Siemiatycki, Aidan R. Vining

Notice bibliographique

RevueThe School of Public Policy Publications · 2016
Typearticle
Langueen
DomaineBusiness, Management and Accounting
ThématiquePublic-Private Partnership Projects
Établissements canadiensSimon Fraser UniversityUniversity of TorontoUniversity of British Columbia
Organismes subventionnairesnon disponible
Mots-clésPolitical sciencePublic administration

Résumé

récupéré en direct d'OpenAlex

The popularity of Public-Private Partnerships (PPPs), as a way for governments to get infrastructure built, continues to grow. But while the public is often led to believe that this is because they result in a more efficient use of taxpayer funds and a more streamlined process, this is not necessarily the case. In fact, the clearest advantage that PPPs offers is to politicians, who are able to transfer to private partners the risks of miscalculated construction costs and revenue projections (as with a toll road, for example). For taxpayers, the deals can often work out worse than if the government had simply pursued a fixedprice design-build Public Sector Alternative (PSA) arrangement. Even from the very start of the process, there are often a limited number of private consortia equipped to bid on major PPPs, which already leads to the potential for bidders to build in higher profits, and thus, higher costs for taxpayers. Nor are these private consortia oblivious to the risks they assume; they must therefore build into their bid an effective “insurance premium” to account for unforeseen delays and increased costs. The use of private debt to finance construction further inflates prices over a government’s lower cost of capital. To an incumbent government, a key advantage of PPPs is the ability to avoid upfront costs, and let the private consortium arrange financing until the project is complete, allowing politicians to take the credit for new infrastructure while passing future maintenance and operating costs off onto future politicians, taxpayers and/or users. This, however, only provides both the incentive and bookkeeping artifice — since costs are incurred off the government’s current balance sheet — for governments to build more infrastructure than might otherwise be justified. Advocates of PPP would argue that one clear benefit PPPs do offer the public is an impressive record of bringing in projects on time and on budget. It is true that the inflexibility of contracts and the financial risk transferred to the private partners have a powerful effect in keeping projects on track. However, the yardsticks by which the on-time and on-budget criteria are measured are typically flawed. The “start dates” of PPPs are marked after the conclusion of a lengthy negotiation and project-planning process between a government and a private consortium, making project completions seem more efficient than they really are. Meanwhile, the estimated cost of a project has a tendency to increase during that preliminary process. In other words, the delay and cost inflation that so often characterize traditional PSAs are not magically eliminated in a PPP: they just tend to occur prior to the first shovel breaking ground, rather than incrementally over the course of the project’s construction. Ultimately, several of the problems common to traditional government PSA projects, and supposedly absent from PPP arrangements, are still there, only much harder to discern. The costs can be just as high, if not higher than with a fixed-price PSA, the timeframes can be just as lengthy, when the entire process is accounted for, and the amount of government resources tied up in the negotiation and planning process will often rival that of traditional procurement methods. Furthermore, all those risks that are supposedly transferred to private players are never truly transferred: The government is always the residual risk holder should the consortium somehow fail. From a policy standpoint, the measure of whether PPPs are worthwhile should be based not on whether they come in on time or on budget, but whether they increase social value relative to a PSA. There is, currently, no convincing evidence that they do.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,006
score de la tête « metaresearch » (Gemma)0,036
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,854
Score d'incertitude au seuil0,990

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0060,036
Méta-épidémiologie (sens strict)0,0000,001
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0050,014
Études des sciences et des technologies0,0170,009
Communication savante0,0110,005
Science ouverte0,0030,005
Intégrité de la recherche0,0030,005
Charge utile insuffisante (le modèle a refusé de juger)0,0210,001

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,111
Tête enseignante GPT0,296
Écart entre enseignants0,186 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations39
Publié2016
Routes d'admission2
Résumé présentoui

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