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The Rat Race between World Cities: In Search of Exceptional Places by Means of Super-Efficient Data Development Analysis

Author

Listed:
  • Karima Kourtit

    (VU University Amsterdam)

  • Peter Nijkamp

    (VU University Amsterdam)

  • Soushi Suzuki

    (Hokkai-Gakuen University, Sapporo, Japan)

Abstract

See the article in Computers Environment and Urban Systems (2013). Volume 38, pages 67-77. This paper aims to provide a new methodological and empirical contribution to the rising literature on the relative performance and benchmarking of large cities in a competitive world. On the basis of a recent detailed database on many achievement criteria of 35 major cities in the world, it seeks to arrive at a relative performance ranking of these cities by using Data Envelopment Analysis (DEA). A novel element is the use of a new type of ‘Super-Efficiency DEA’ to identify unambiguously the high performers ('exceptional places’) in the group of world cities investigated. This new productivity-based approach is complemented with two new directions in DEA research, viz. a Distance Friction Method and a Context-Dependent method.

Suggested Citation

  • Karima Kourtit & Peter Nijkamp & Soushi Suzuki, 2013. "The Rat Race between World Cities: In Search of Exceptional Places by Means of Super-Efficient Data Development Analysis," Tinbergen Institute Discussion Papers 13-104/VIII, Tinbergen Institute.
    • Handle: RePEc:tin:wpaper:20130104
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    File URL: https://papers.tinbergen.nl/13104.pdf
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    References listed on IDEAS

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    3. Arribas, D. & Kourtit, K. & Nijkamp, P., 2012. "Benchmarking of world cities through self-organizing maps," Serie Research Memoranda 0006, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
    4. Soushi Suzuki & Peter Nijkamp & Piet Rietveld, 2011. "Regional efficiency improvement by means of data envelopment analysis through Euclidean distance minimization including fixed input factors: An application to tourist regions in Italy," Papers in Regional Science, Wiley Blackwell, vol. 90(1), pages 67-89, March.
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    7. Seiford, Lawrence M. & Zhu, Joe, 2003. "Context-dependent data envelopment analysis--Measuring attractiveness and progress," Omega, Elsevier, vol. 31(5), pages 397-408, October.
    8. Suzuki, Soushi & Nijkamp, Peter & Rietveld, Piet & Pels, Eric, 2010. "A distance friction minimization approach in data envelopment analysis: A comparative study on airport efficiency," European Journal of Operational Research, Elsevier, vol. 207(2), pages 1104-1115, December.
    9. Daniel Arribas-Bel & Peter Nijkamp & Henk Scholten, 2011. "Multi-Dimensional Urban Sprawl in Europe: a Self-Organizing Map Approach," ERSA conference papers ersa10p485, European Regional Science Association.
    10. Tone, Kaoru, 2002. "A slacks-based measure of super-efficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 143(1), pages 32-41, November.
    11. Karima Kourtit & Peter Nijkamp & Roger R. Stough (ed.), 2011. "Drivers of Innovation, Entrepreneurship and Regional Dynamics," Advances in Spatial Science, Springer, number 978-3-642-17940-2.
    12. Daniel Shefer & Amnon Frenkel, 1998. "original: Local milieu and innovations: Some empirical results," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 32(1), pages 185-200.
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    Citations

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    Cited by:

    1. Karima Kourtit & Cathy Macharis & Peter Nijkamp, 2013. "A Multi-Actor Multi-Criteria Analysis of the Performance of Global Cities," Tinbergen Institute Discussion Papers 13-108/VIII, Tinbergen Institute.
    2. Soushi Suzuki & Karima Kourtit & Peter Nijkamp, 2017. "The robustness of performance rankings of Asia-Pacific super cities," Asia-Pacific Journal of Regional Science, Springer, vol. 1(1), pages 219-242, April.
    3. Peter Nijkamp, 2013. "The Universal Law Of Gravitation And The Death Of Distance," Romanian Journal of Regional Science, Romanian Regional Science Association, vol. 7(2), pages 1-10, DECEMBER.
    4. Soushi Suzuki & Peter Nijkamp, 2021. "High urban population density as a facilitator of energy–environment–economy performance–development of an autoconfiguration target model in data envelopment analysis," Asia-Pacific Journal of Regional Science, Springer, vol. 5(1), pages 261-287, February.

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    More about this item

    Keywords

    world cities; city performance; Data Envelopment Analysis;
    All these keywords.

    JEL classification:

    • C8 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs
    • O1 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development

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