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Enregistrement W2281465252 · doi:10.55016/ojs/sppp.v8i1.42546

Optimal Public Infrastructure: Some Guideposts to Ensure we don’t Overspend

2015· article· en· W2281465252 sur OpenAlexaffabout
Philip Bazel, Jack Mintz

Notice bibliographique

RevueThe School of Public Policy Publications · 2015
Typearticle
Langueen
DomaineEconomics, Econometrics and Finance
ThématiqueFiscal Policy and Economic Growth
Établissements canadiensUniversity of Calgary
Organismes subventionnairesnon disponible
Mots-clésBusinessCritical infrastructureComputer scienceEnvironmental planningComputer securityEnvironmental science

Résumé

récupéré en direct d'OpenAlex

It’s time to consider a more economically efficient model for financing roads, bridges and other public infrastructure. It’s true that Canada has become one of the biggest spenders on infrastructure among OECD countries, at four per cent of GDP, but using GDP to measure the share the government should spend on infrastructure is an anachronistic and arbitrary measure. We all know it is important that Canada keep pace with maintaining and building the necessary infrastructure to maximise our productive capacity and economic prosperity. But how do we know if we are on the right track? How much investment is enough, and what is the optimal level of public investment in infrastructure? This paper proposes a framework for evaluating current and future levels of financing for public infrastructure. Rather than relying on arbitrary comparisons with Canadas post war ‘golden age’ of infrastructure investment (an all too common standby in political circles), we propose a standard that is based in economic efficiency and which aims to maximise the public benefits associated with infrastructure investment. We also take a historical look public capital spending in Canada, as well as the trend toward privatization of public infrastructure and core services that began some 30 years ago after the Mulroney government was elected. This trend has seen many core services and assets that were once publicly run transition to outright privatization. It is interesting to note that the most heavily privatized sectors (utilities and communications) are also the sectors most often spared from the label of ‘inadequate’, a label that befalls so much of Canada’s public infrastructure. When infrastructure is financed through taxation, there is a tendency for spending to be discouraged to ease the burden on taxpayers; however, this inevitably leads to infrastructure maintenance and construction being deferred, with a significant deficit inevitably built up. A user-pay model would work to eliminate political influence, create revenue for infrastructure renewal, and facilitate an optimal allocation of infrastructure resources. All of this further helps maximise the benefits derived from public infrastructure. This model of infrastructure finance and provision could be further advanced and reinforced through the creation of provincial and federal bodies whose mandate would be to actively evaluate infrastructure investments in their respective jurisdictions, prioritizing funding for the most meritorious projects, and those offering the highest public return on investment. When projects are funded through taxation and access is not priced, there is often little or no incentive for individuals to make efficient use of them. The lack of direct accountability means individuals fail to use infrastructure judiciously and sparingly to preserve the life of public assets or prevent unnecessary congestion. Moreover, the lack of a clear sense of cost means governments do not know the true value that the public places on one type of infrastructure over another. Thus, government budgeting for such projects remains inefficient and skewed. The best level and mix of public infrastructure can only be determined when government and private providers can reliably establish user demands in a priced (efficient) system. The current model of funding public infrastructure deprives users of infrastructure as well as government planners from vital information they need to make informed and efficient decisions. Both remain unclear on value for money, and costaccountability, but are bound by an innate aversion to increased tax-financing. Governments, fully cognizant of both consumer attitudes and the need to retain vote-getting power, thus swing between funding necessary infrastructure and allowing infrastructure deficits to grow. This paper advocates for a more efficient, accountable system with greater dependence on user-pay models and reinforced by and active arm’s length government agency designed to advance merit based project selection, and maximise public benefit.

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 distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,002
score de la tête « metaresearch » (Gemma)0,006
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict), Charge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Théorique ou conceptuel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,866
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0020,006
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0020,002
Études des sciences et des technologies0,0000,000
Communication savante0,0010,002
Science ouverte0,0020,001
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0010,003

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 Opus0,080
Tête enseignante GPT0,279
Écart entre enseignants0,199 · 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 tête enseignante, pas un consensus.

Devis d'étudeThéorique ou conceptuel
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

Citations4
Publié2015
Routes d'admission2
Résumé présentoui

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