Artikel

Winners in the urban champions league: A performance assessment of Japanese cities by means of dynamic and super-efficient DEA

This paper aims to provide an advanced dynamic efficiency assessment methodology for city performance strategies in Japan, based on an extended and super-efficient Data Envelopment Analysis (DEA). The use of this novel efficiency-improving approach originates from earlier research based on the so-called Distance Friction Minimisation (DFM) method. In the present study we develop a new multi-period model from a blend of a Target-Oriented (TO) DFM model including a dynamic approach. This new model is able to present a more realistic efficiency improvement projection comprising a dynamic system of target-settings to achieve a target improvement level so as to programme more realistic policy actions. The above-mentioned Dynamic TO-DFM model will be applied to and tested for a multi-dimensional efficiency assessment of several large Japanese cities. In this study, we consider due to comparative data limitations, two inputs (population and city budget) and two outputs (GDP and tax revenues). Based on these items, this study assesses the relative economic performance of 16 Japanese big cities by means of the above described, extended super-efficient DEA model. Finally, we present an efficiency improvement programme based on the Dynamic TO-DFM model for enhancing the position of inefficient cites.

Sprache
Englisch

Erschienen in
Journal: Journal of Urban Management ; ISSN: 2226-5856 ; Volume: 7 ; Year: 2018 ; Issue: 1 ; Pages: 6-20 ; Amsterdam: Elsevier

Klassifikation
Landschaftsgestaltung, Raumplanung
Thema
Data Envelopment Analysis (DEA)
Distance Friction Minimization (DFM)
Dynamic DEA model
Japanese cities
performance assessment
super-efficiency
Target-oriented (TO) model

Ereignis
Geistige Schöpfung
(wer)
Suzuki, Soushi
Nijkamp, Peter
Ereignis
Veröffentlichung
(wer)
Elsevier
(wo)
Amsterdam
(wann)
2018

DOI
doi:10.1016/j.jum.2018.01.001
Handle
Letzte Aktualisierung
20.09.2024, 08:22 MESZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Artikel

Beteiligte

  • Suzuki, Soushi
  • Nijkamp, Peter
  • Elsevier

Entstanden

  • 2018

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