Hypercongestion in production correspondences: an empirical exploration

Briec, Walter; Kerstens, Kristiaan; van de Woestyne, Ignace

Type de document :

Compte-rendu et recension critique d'ouvrage

DOI :

10.1080/00036846.2017.1412080

Titre :

Hypercongestion in production correspondences: an empirical exploration

Auteur(s) :

Briec, Walter [Auteur]
Centre de Recherche sur les Sociétés et Environnements en Méditerranées [CRESEM]
LAboratoire de Modélisation Pluridisciplinaire et Simulations [LAMPS]
Kerstens, Kristiaan [Auteur]

Lille économie management - UMR 9221 [LEM]
van de Woestyne, Ignace [Auteur]

Titre de la revue :

Applied Economics

Pagination :

2938 - 2956

Éditeur :

Taylor & Francis (Routledge)

Date de publication :

2017-12-29

ISSN :

0003-6846

Mot(s)-clé(s) en anglais :

nonconvex hull
convex hull
congestion
Nonparametric technology

Discipline(s) HAL :

Sciences de l'Homme et Société/Economies et finances

Résumé en anglais : [en]

This empirical contribution reviews the rather limited existing literature measuring congestion in production. It first compares current ways to measure congestion using nonparametric specifications of technologies. In ...
Lire la suite >This empirical contribution reviews the rather limited existing literature measuring congestion in production. It first compares current ways to measure congestion using nonparametric specifications of technologies. In particular, it focuses on the magnitude and incidence of the congestion detected in empirical studies using traditional radial efficiency measures. Thereafter, it shows the limitations of this radial measurement and how alternative measurement schemes may reveal higher amounts of congestion. Then, the new, more general methodology of measuring S-congestion is presented. In particular, we first present a numerical example to illustrate the way the S-disposable technologies allow to capture more extreme forms of congestion by setting empirically determined upper bounds to the wasting of inputs. Then, an empirical illustration is presented based on an existing sample of data. A final section concludes.Lire moins >

Langue :

Anglais

Vulgarisation :

Non

Collections :

Lille Économie Management (LEM) - UMR 9221

Source :

Harvested from HAL

Hypercongestion in production correspondences: ... BibTeX CSV Excel RIS

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