Bitte verwenden Sie diesen Link, um diese Publikation zu zitieren, oder auf sie als Internetquelle zu verweisen: https://hdl.handle.net/10419/297499 
Autor:innen: 
Erscheinungsjahr: 
2018
Quellenangabe: 
[Journal:] Contemporary Economics [ISSN:] 2300-8814 [Volume:] 12 [Issue:] 3 [Year:] 2018 [Pages:] 241-252
Verlag: 
University of Finance and Management in Warsaw, Faculty of Management and Finance, Warsaw
Zusammenfassung: 
The first systematic research on Location Theory dates back to 1826. Quantitative approaches came much later. On the supply side extensive Input-Output Tables can be mentioned and on the demand side the optimization by Multi-Criteria Decision Making. The advantages of Input-Output Tables for location opportunities on a regional and urban basis have to be emphasized, whereas the link is made between Input-Output and Multi-Criteria Optimization. MOORA, Multi-Objective Optimization by Ratio Analysis, is composed of two methods: Ratio Analysis and Reference Point Theory and responds to the different conditions of robustness needed for optimization. This approach attempts to localize in an optimal way a certain project facing different indicators, criteria or objectives sometimes originating from different groups or individuals. Here however type and importance of objectives and alternatives were only simulated. The real stakeholders to be considered are rather the national and local authorities, the contributing firms and their personnel. In the production sphere consumer sovereignty was only indirectly involved. If consumers, via consumer organizations and trade unions, were directly involved, other claims could emerge. The simulation used was limited in its applications. Clearly if this simulation has no practical consequences, it still provides a learning experience with the use of the MOORA Method in its double composition.
Schlagwörter: 
Location Theory
Input-Output Analysis
MOORA
MULTIMOORA
Objectives
Alternatives
Simulation
Ratio Analysis
Reference Point Method
JEL: 
C12
C13
C44
C54
C61
R41
Persistent Identifier der Erstveröffentlichung: 
Creative-Commons-Lizenz: 
cc-by Logo
Dokumentart: 
Article

Datei(en):
Datei
Größe
540.99 kB





Publikationen in EconStor sind urheberrechtlich geschützt.