IDEAS home Printed from https://ideas.repec.org/a/spr/apjors/v1y2017i1d10.1007_s41685-017-0029-1.html
   My bibliography  Save this article

The robustness of performance rankings of Asia-Pacific super cities

Author

Listed:
  • Soushi Suzuki

    (Hokkai-Gakuen University)

  • Karima Kourtit

    (KTH Royal Institute of Technology
    Adam Mickiewicz University)

  • Peter Nijkamp

    (KTH Royal Institute of Technology
    Tinbergen Institute
    Adam Mickiewicz University)

Abstract

Over the past decades, the Asia-Pacific Rim has exhibited an unprecedented high degree of economic and geographic dynamics. Clearly, cities in this region display heterogeneity in terms of economic performance, technological innovativeness, environmental conditions, and cultural recognition and interaction. It is, therefore, interesting to develop an efficiency ranking of the multi-dimensional performance of these large cities so as to identify ‘super cities’. The first aim of this paper is now to undertake a multi-faceted performance ranking of large cities in the Asia-Pacific region using a data envelopment analysis (DEA). However, there appears to be a wide variety of DEAs in the recent literature. And therefore, a second aim of the present paper is to perform a sensitivity analysis on the type of DEA employed, so as to test the robustness of the base ranking obtained from a standard DEA. A third aim of the paper is related to the question how much the ranking obtained by a DEA is influenced by the internal characteristics of the underlying data system. This calls for a sensitivity analysis of the precision or nature of the data used in the DEA. A fourth aim of the paper is to present a performance improvement projection based on the original DEA model and our new projection model for inefficient cities. These four aims of the research will be empirically addressed by a comprehensive data set on 7 quantitative main indicators regarding economic performance, technological innovativeness, environmental conditions, and cultural recognition and interaction for 13 Asia-Pacific super cities.

Suggested Citation

  • 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.
    • Handle: RePEc:spr:apjors:v:1:y:2017:i:1:d:10.1007_s41685-017-0029-1
    DOI: 10.1007/s41685-017-0029-1
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s41685-017-0029-1
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s41685-017-0029-1?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Peter Nijkamp & Soushi Suzuki, 2009. "A Generalized Goals-achievement Model in Data Envelopment Analysis: an Application to Efficiency Improvement in Local Government Finance in Japan," Spatial Economic Analysis, Taylor & Francis Journals, vol. 4(3), pages 249-274.
    2. Per Andersen & Niels Christian Petersen, 1993. "A Procedure for Ranking Efficient Units in Data Envelopment Analysis," Management Science, INFORMS, vol. 39(10), pages 1261-1264, October.
    3. 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.
    4. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    5. Antonio Afonso & Sonia Fernandes, 2006. "Measuring local government spending efficiency: Evidence for the Lisbon region," Regional Studies, Taylor & Francis Journals, vol. 40(1), pages 39-53.
    6. Karima Kourtit & Peter Nijkamp & Mark D. Partridge, 2013. "The New Urban World," European Planning Studies, Taylor & Francis Journals, vol. 21(3), pages 285-290, March.
    7. 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.
    8. 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.
    9. Nijkamp, Peter, 2016. "The «resourceful region». A new conceptualisation of regional development strategies," INVESTIGACIONES REGIONALES - Journal of REGIONAL RESEARCH, Asociación Española de Ciencia Regional, issue 36, pages 191-214.
    10. Dyson, R. G. & Allen, R. & Camanho, A. S. & Podinovski, V. V. & Sarrico, C. S. & Shale, E. A., 2001. "Pitfalls and protocols in DEA," European Journal of Operational Research, Elsevier, vol. 132(2), pages 245-259, July.
    11. Tone, Kaoru, 2001. "A slacks-based measure of efficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 130(3), pages 498-509, May.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Zhang, Bin & Lu, Danting & He, Yan & Chiu, Yung-ho, 2018. "The efficiencies of resource-saving and environment: A case study based on Chinese cities," Energy, Elsevier, vol. 150(C), pages 493-507.
    2. Karima Kourtit & Peter Nijkamp & Soushi Suzuki, 2023. "Quantitative performance assessment of Asian stellar cities by a DEA cascade system: a capability interpretation," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 70(1), pages 259-286, February.
    3. João Romão & Peter Nijkamp, 2017. "Special issue on innovation and ecology: regional science perspectives on spatial systems," Asia-Pacific Journal of Regional Science, Springer, vol. 1(1), pages 49-52, April.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. Karima Kourtit & Peter Nijkamp, 2013. "In Search of Creative Champions in High-Tech Spaces," Tinbergen Institute Discussion Papers 13-193/VIII, Tinbergen Institute.
    3. Kourtit Karima & Nijkamp Peter & Suzuki Soushi, 2016. "New Urban Economic Agents: A Comparative Analysis of High-Performance New Entrepreneurs," Quaestiones Geographicae, Sciendo, vol. 35(4), pages 5-22, December.
    4. Karima Kourtit & Peter Nijkamp & Soushi Suzuki, 2023. "Quantitative performance assessment of Asian stellar cities by a DEA cascade system: a capability interpretation," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 70(1), pages 259-286, February.
    5. Chen, Chien-Ming, 2013. "Super efficiencies or super inefficiencies? Insights from a joint computation model for slacks-based measures in DEA," European Journal of Operational Research, Elsevier, vol. 226(2), pages 258-267.
    6. Soushi Suzuki & Peter Nijkamp & Piet Rietveld, 2012. "A preference allocation-DFM model in Data Envelopment Analysis -An application to Energy-Environment-Economic efficiency in Japan-," ERSA conference papers ersa12p332, European Regional Science Association.
    7. Victoria Wojcik & Harald Dyckhoff & Marcel Clermont, 2019. "Is data envelopment analysis a suitable tool for performance measurement and benchmarking in non-production contexts?," Business Research, Springer;German Academic Association for Business Research, vol. 12(2), pages 559-595, December.
    8. Mai, Nhat Chi, 2015. "Efficiency of the banking system in Vietnam under financial liberalization," OSF Preprints qsf6d, Center for Open Science.
    9. Cabrera-Jiménez, Richard & Mateo-Sanz, Josep M. & Gavaldà, Jordi & Jiménez, Laureano & Pozo, Carlos, 2022. "Comparing biofuels through the lens of sustainability: A data envelopment analysis approach," Applied Energy, Elsevier, vol. 307(C).
    10. 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.
    11. Shi, Jiangang & Dai, Xingying & Duan, Kaifeng & Li, Jiajia, 2023. "Exploring the performances and determinants of public service provision in 35 major cities in China from the perspectives of efficiency and effectiveness," Socio-Economic Planning Sciences, Elsevier, vol. 85(C).
    12. Ruijing Zheng & Yu Cheng & Haimeng Liu & Wei Chen & Xiaodong Chen & Yaping Wang, 2022. "The Spatiotemporal Distribution and Drivers of Urban Carbon Emission Efficiency: The Role of Technological Innovation," IJERPH, MDPI, vol. 19(15), pages 1-22, July.
    13. Suzuki, Soushi & Nijkamp, Peter, 2016. "An evaluation of energy-environment-economic efficiency for EU, APEC and ASEAN countries: Design of a Target-Oriented DFM model with fixed factors in Data Envelopment Analysis," Energy Policy, Elsevier, vol. 88(C), pages 100-112.
    14. Mousavi, Mohammad M. & Ouenniche, Jamal & Xu, Bing, 2015. "Performance evaluation of bankruptcy prediction models: An orientation-free super-efficiency DEA-based framework," International Review of Financial Analysis, Elsevier, vol. 42(C), pages 64-75.
    15. Fan Wang & Lili Feng & Jin Li & Lin Wang, 2020. "Environmental Regulation, Tenure Length of Officials, and Green Innovation of Enterprises," IJERPH, MDPI, vol. 17(7), pages 1-16, March.
    16. Loske, Dominic & Klumpp, Matthias, 2021. "Human-AI collaboration in route planning: An empirical efficiency-based analysis in retail logistics," International Journal of Production Economics, Elsevier, vol. 241(C).
    17. Chia-Nan Wang & Jen-Der Day & Nguyen Thi Kim Lien & Luu Quoc Chien, 2018. "Integrating the Additive Seasonal Model and Super-SBM Model to Compute the Efficiency of Port Logistics Companies in Vietnam," Sustainability, MDPI, vol. 10(8), pages 1-17, August.
    18. Josef Jablonsky, 2022. "Individual and team efficiency: a case of the National Hockey League," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 30(2), pages 479-494, June.
    19. Vicente J. Bolós & Rafael Benítez & Vicente Coll-Serrano, 2023. "Continuous models combining slacks-based measures of efficiency and super-efficiency," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 31(2), pages 363-391, June.
    20. Yung-ho Chiu & Chin-wei Huang & Chung-te Ting, 2012. "A non-radial measure of different systems for Taiwanese tourist hotels’ efficiency assessment," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 20(1), pages 45-63, March.

    More about this item

    Keywords

    Asia-Pacific super cities; Efficiency ranking; Data envelopment analysis (DEA); Robustness;
    All these keywords.

    JEL classification:

    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes
    • O18 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Urban, Rural, Regional, and Transportation Analysis; Housing; Infrastructure

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:apjors:v:1:y:2017:i:1:d:10.1007_s41685-017-0029-1. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.