Public sector capacity to plan and deliver public/private infrastructure partnerships (P3s): a case study of British Columbia’s healthcare sector
Notice bibliographique
Résumé
Sweeping public sector reforms have occurred globally in recent decades. One of the more high profile and contentious strategies pursued in jurisdictions such as Australia, the United Kingdom, and more recently Canada is the radical shift to public-private infrastructure partnerships - commonly referred to in Canada as ‘P3s’. The Government of British Columbia (BC) has emerged as the leading proponent of the P3 model in Canada. The strategic shift in BC to the P3 model was introduced in 2002 by the governing Liberal party. The Liberals created Partnerships BC to spearhead the P3 program, and singled out the healthcare sector to move forward the P3 agenda. The dynamics of delivering a complex and unfamiliar business model like P3s through this new public agency, combined with the unique ecology of the healthcare system, added to the complexity of delivering a central government mandated strategic policy priority like a P3-first agenda, making for a robust case study. Focusing on the issue of public sector capacity to implement policy, this study examines how BC has transitioned from traditional procurement and operation of public infrastructure such as hospitals to the wide-spread use of P3s. The study asks questions about three independent variables of capacity related to implementation of P3 and other cross-cutting programs: governance and oversight; human resources; and, inter-agency collaboration within the public sector. Drawn from an extensive review of scholarly studies and literature, and government and consultant reports examining actual infrastructure P3 experiences and exemplary practices, these variables formed the basis of the study’s analytical model. The study employed the following multi-method (triangulation) research and data collection approach: i) an archival review of text-based government documents; ii) interviews with key public employees either directly or indirectly involved in P3 program implementation; and, iii) field observations of the principal researcher based on first-hand experiences as a senior manager in the BC government during this period. Based on the analytical model developed, the study reveals a capacity deficit in BC to adequately plan and implement a comprehensive P3 program. Based on the literature, the model establishes that central agencies play a critical role in an effective P3 policy program. So what is most noteworthy is the lack of resources and attention given to developing central agency capacity to: advance sound P3 policies; ensure ongoing program oversight and accountability; and, provide necessary guidance and support to agencies tasked with implementing very complex P3 arrangements in a multi-agency domain. For practitioners, the study validates key elements of capacity to be considered when planning and implementing major shifts in public policy. The literature review and the study’s findings also have relevance for the public administration profession through the development of the analytical framework and its application to an important contemporary public policy area. As a contribution to scholarly and academic research, this paper tests the validity and reliability of the analytical model developed and the overall methodology used, and identifies significant areas that merit further study related to the broader phenomenon of P3s and public sector capacity.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi 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.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,003 | 0,007 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,002 |
| Études des sciences et des technologies | 0,016 | 0,005 |
| Communication savante | 0,006 | 0,002 |
| Science ouverte | 0,002 | 0,005 |
| Intégrité de la recherche | 0,003 | 0,003 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,007 | 0,001 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».