Distinguish regional performance with the use of shift-share analysis and MCDA methods: a gross value added perspective - l'unam - université nantes angers le mans Accéder directement au contenu
Article Dans Une Revue Operational Research Année : 2020

Distinguish regional performance with the use of shift-share analysis and MCDA methods: a gross value added perspective

Fichier non déposé

Dates et versions

hal-02887180 , version 1 (02-07-2020)

Identifiants

Citer

Georgios Xanthos, Constantin Zopounidis, Alexandros Garefalakis, Christos Lemonakis, Ioannis Passas. Distinguish regional performance with the use of shift-share analysis and MCDA methods: a gross value added perspective. Operational Research, 2020, ⟨10.1007/s12351-020-00582-6⟩. ⟨hal-02887180⟩

Collections

AUDENCIA UNAM
36 Consultations
0 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More