Hypercongestion in production correspondences: an empirical exploration

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

Document type :

Compte-rendu et recension critique d'ouvrage

DOI :

10.1080/00036846.2017.1412080

Title :

Hypercongestion in production correspondences: an empirical exploration

Author(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]

Journal title :

Applied Economics

Pages :

2938 - 2956

Publisher :

Taylor & Francis (Routledge)

Publication date :

2017-12-29

ISSN :

0003-6846

English keyword(s) :

nonconvex hull
convex hull
congestion
Nonparametric technology

HAL domain(s) :

Sciences de l'Homme et Société/Economies et finances

English abstract : [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 ...
Show more >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.Show less >

Language :

Anglais

Popular science :

Non

Collections :

Lille Économie Management (LEM) - UMR 9221

Source :

Harvested from HAL

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