A Multi-Actor Multi-Criteria Analysis of the Performance of Global Cities
Summary (2 min read)
Introduction
- Tinbergen Institute has two locations: Tinbergen Institute Amsterdam Gustav Mahlerplein 117 1082 MS.
- Duisenberg school of finance is a collaboration of the Dutch financial sector and universities, with the ambition to support innovative research and offer top quality academic education in core areas of finance.
- The present paper aims to trace to what extent and why some cities outperform others.
- Urbanisation, global cities, multi-criteria analysis, performance, stakeholders, MAMCA, PROMETHEE, GAIA * Tinbergen Institute, The Netherlands Pn585kkmc 1, also known as Keywords.
1. Aims and Scope
- In their urban century the majority of the people on their planet will live in cities.
- A spatial concentration of activities, involving spatial and social proximity, increases the opportunities for interaction and knowledge transfer, while the resulting spillover effects reduce the cost of obtaining and processing knowledge.
- Cities offer in this context an enormously rich potential for a wide array of innovative business opportunities.
- This megatrend does not only mean a quantitative change in the share of inhabitants in urban areas in the national territory, but also a qualitative transformation of both a socioeconomic and political nature.
2. Description of the Database
- Cities are engines of economic power but also nodes in global networks.
- This idea formed the basis of the creation of the above-mentioned GPCI database.
- This extensive GPCI database offers also the possibility for benchmarking of each individual city, in terms of strength and weakness regarding each individual performance indicator.
- In addition, the importance of these indicators was carefully assessed by 5 distinct groups of 4 stakeholders, viz.
3. Results of the MAMCA Model
- The authors study has tried to identify the potentially most powerful global city – measured in terms of 6 main criteria and a vast set of subcriteria – by applying an appropriate multi-criteria model, coined MAMCA.
- MAMCA is a member of the family of multi-criteria analysis methods which have gained much popularity over the past decades.
- Berlin, Amsterdam and Brussels appear to show the same pattern with always the same ranking, but Singapore is clearly very attractive for doing business, but clearly, much less attractive for the class of artists.
- It may be added that also for the class of top-10 GPCI cities the strength-weakness profile for a given class of stakeholders, for example, the class of visitors, can again be mapped out, so that a more detailed view on the positive and negative aspects of a city for that specific actor can be provided .
- This kind of analysis can show the most prominent and interesting interactions between the criteria at hand.
5. Policy Lessons
- The above analysis has brought to light important findings on the relative position of major cities in their world.
- Contrasting Regional, National and Global Perspectives, also known as The World’s Cities.
- The design of operational synergies in multicriteria-analysis, also known as “PROMETHEE and AHP.
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Citations
227 citations
Cites methods from "A Multi-Actor Multi-Criteria Analys..."
...Correspondingly Labbouz et al. (2008) used another significant outranking method notably ELECTRE TRI investigating the pro and cons of a ‘public transport line in France’ based on ‘consensus’ steps with all the stakeholders....
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References
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...In the ‘new urban world’(see Kourtit and Nijkamp 2013) dominated by connected large cities and urban networks, our society will face serious concerns related to housing, sustainable modes of living, poverty, employment, accessibility, competitiveness, and economic vitality....
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"A Multi-Actor Multi-Criteria Analys..." refers methods in this paper
...If we make a selection of the top-10 most efficient cities from the GPCI database – with a selection made on the basis of a recently undertaken DEA-analysis; for details, see Kourtit et al. (2012), – the multi-actor analysis shows that for each class of actors New York and Tokyo are really on top of and far above the others (see Figure 4)....
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...For the 10 lowest scoring cities – in terms of efficient performance – in the DEA analysis executed by Kourtit et al. (2012), a similar analysis is next executed, where Paris acts essentially as a benchmark for the others....
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