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Enregistrement W2298954934 · doi:10.14288/1.0058223

The economic evaluation of public investment in transportation in underdeveloped countries

2011· article· en· W2298954934 sur OpenAlexaboutno aff
William Henry Griffiths

Notice bibliographique

RevuecIRcle (University of British Columbia) · 2011
Typearticle
Langueen
DomaineEconomics, Econometrics and Finance
ThématiqueClimate Change Policy and Economics
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésDeveloping countryInvestment (military)Public investmentBusinessEconomic growthEconomicsDevelopment economicsPolitical scienceEconomic policyPublic welfare

Résumé

récupéré en direct d'OpenAlex

Public investment in transportation forms a large part of the capital budget of many developing countries. In view of the scarcity of development capital, it is essential that the available capital be used to the best advantage. This indicates the need for careful analyses of proposed public investments in transportation. Until quite recently, transportation investment evaluation in underdeveloped countries was almost entirely within the preserve of engineers, with economists taking little active interest in the spatial aspects of economic activity. Economists have recently taken a much more active interest, and new methods of evaluation are constantly being developed and older ones improved. However, there are still some unresolved methodological problems in the evaluation of public transportation investment, and a number of deficiencies in the application of the concepts and methods which have been developed. The objective of this thesis is to describe and evaluate the methods of transportation investment analysis now in use, identify the deficiencies in the existing methods and in their applications, and to propose methods of overcoming the deficiencies. The research which has resulted in this thesis has been in three forms. One was a review of the published literature pertaining to public investment in transportation in underdeveloped countries. The second was in the author's experience in transportation investment analysis in Canada and overseas, for agencies such as the Government of Canada and the World Bank. This experience presented the opportunity of reviewing unpublished writings on the subject, and of reviewing the methodology used and results produced by various consultants and study groups in a wide range of transportation investment analyses in underdeveloped countries. Much of this material, particularly the consultants' reports, is held confidential by the World Bank and by the governments of the countries involved, and therefore cannot be specifically cited in references. The third source of information was in discussions with consultants working in this field, both in Canada and abroad; with representatives of the governments receiving foreign aid for transportation investments, and with the personnel of the World Bank. Chapter I of the thesis is a general introduction to the subject. It deals with the relative importance of transportation investment in underdeveloped countries, and states the objective of the thesis. In Chapter II the objective of public transportation analysis is established, and some of the principles which are basic to all analyses of public investment are considered. In considering the principles, some problems in their applications are identified and the recommended procedures are indicated. All acceptable analyses of public transportation investments must ultimately result in some form of comparison of the costs and benefits of the proposed investment or investments. In Chapter III the methods of measuring costs and benefits are described, and deficiencies in the current methods and their applications are identified. In the cases of relatively minor deficiencies, the correct methods and applications are shown in Chapter III. Possible solutions to the major problems identified are proposed in Chapter IV. The major deficiencies noted in Chapter III are the common failure to relate a proposed transportation investment on an individual link of the system, to the system as a whole, and the failure to relate the transportation system to the economy of the country. These deficiencies will almost invariably result in the incorrect measurement of costs and benefits. In Chapter IV, methods of overcoming these deficiencies are described and evaluated. The most recent published method of conducting a comprehensive analysis which takes account of these factors is the Harvard Model, which consists of two parts: a transportation model and a macro-economic model. The difficulty of applying this approach is considered, and it is concluded that, although the Harvard Model is conceptually the best approach which has thus far been developed, it cannot be applied as a practical method of evaluation at this time. An alternative approach is suggested, based on the methodology used in a recent land transportation study of Dahomey, Africa. The analysis of traffic flows is based on the transportation portion of the Harvard Model, while the economic methodology was developed primarily by the author while engaged in the Dahomey study. The conclusions are presented in Chapter V. It is concluded that transportation investment analyses could be greatly improved, and that most of the necessary improvements are incorporated in the Harvard Model. However, the Harvard Model has not yet been applied successfully, and this will probably be the case for at least the next five to ten years. The methodology used in the Dahomey study is recommended for use as a less sophisticated, but workable alternative, which is also more appropriate to the evaluation of specific investment proposals.

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)0,004
score de la tête « metaresearch » (Gemma)0,017
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Simulation ou modélisation · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,029
Score d'incertitude au seuil0,066

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0040,017
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0050,010
Études des sciences et des technologies0,0010,002
Communication savante0,0060,004
Science ouverte0,0000,001
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0020,000

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 Opus0,113
Tête enseignante GPT0,210
Écart entre enseignants0,097 · 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'étudeSimulation ou modélisation
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

Citations0
Publié2011
Routes d'admission1
Résumé présentoui

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