Bitte verwenden Sie diesen Link, um diese Publikation zu zitieren, oder auf sie als Internetquelle zu verweisen: https://hdl.handle.net/10419/330652 
Autor:innen: 
Erscheinungsjahr: 
2025
Quellenangabe: 
[Journal:] Journal of Productivity Analysis [ISSN:] 1573-0441 [Volume:] 64 [Issue:] 1 [Publisher:] Springer US [Place:] New York, NY [Year:] 2025 [Pages:] 43-60
Verlag: 
Springer US, New York, NY
Zusammenfassung: 
The paper systematically extends a recently developed general production theory for networks of arbitrarily complex structure by utilising multi-criteria analysis to include undesirable objects as inputs and outputs. By embedding Koopmans' linear activity analysis into the broader framework the approach is generic in that it requires rather weak technological properties, thus allowing non-convex and even discrete production possibilities without any disposability property. The modelling approach can often be more appropriate than conventional ones and can be easily extended to dynamic analyses, since its network flow equations are based on balances that can integrate inventories in cases of material inputs and outputs. Theorems are proved that relate important properties of whole networks (e.g. convexity) or of their activities (e.g. efficiency) to those of their individual production units. Common methods of efficiency measurement are integrated in such a way that network data envelopment analysis for bads as inputs or outputs is embedded as the special case focusing specifically on polyhedral technologies. By applying different types of efficiency measures, a systematic procedure for evaluating the performance of network activities is demonstrated for the example of a two-stage production and abatement network and its subsystem with parallel units.
Schlagwörter: 
Network production theory
Undesirable object
Efficiency analysis
Network DEA
Environmental performance assessment
JEL: 
C14
C67
D24
Q56
Persistent Identifier der Erstveröffentlichung: 
Creative-Commons-Lizenz: 
cc-by Logo
Dokumentart: 
Article
Dokumentversion: 
Published Version

Datei(en):
Datei
Größe





Publikationen in EconStor sind urheberrechtlich geschützt.