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Evaluation on Construction Level of Smart City: An Empirical Study from Twenty Chinese Cities

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  • Guijun Li

    (School of Management Science and Engineering, Central University of Finance and Economics, Beijing 100081, China
    Center for Global Economy and Sustainable Development (CGESD), Central University of Finance and Economics, Beijing 100081, China)

  • Yongsheng Wang

    (School of Management Science and Engineering, Central University of Finance and Economics, Beijing 100081, China
    Center for Global Economy and Sustainable Development (CGESD), Central University of Finance and Economics, Beijing 100081, China)

  • Jie Luo

    (School of Management Science and Engineering, Central University of Finance and Economics, Beijing 100081, China)

  • Yulong Li

    (School of Management Science and Engineering, Central University of Finance and Economics, Beijing 100081, China
    Center for Global Economy and Sustainable Development (CGESD), Central University of Finance and Economics, Beijing 100081, China)

Abstract

Currently, the construction of smart cities (SCs) has been booming all over the world and it also acts as a useful tool for the Chinese government to promote the sustainable development of cities. Identifying the aspects of SCs and systematically evaluating the level of smart city construction are significant for urban management and healthy development. Based on the bibliometrics and Chinese experience with smart city construction, this paper firstly proposes dividing the smart city system into four subsystems, that is, smart infrastructure, smart economy, smart governance and smart participation and to establish their corresponding indicator systems. Information entropy method and grey correlation analysis are then adopted to determine the weight of each indicator and evaluate the city smartness level respectively. After that, 20 major cities in China are taken as cases for evaluation. The evaluation is performed on the grey correlation degree of these cities and their variations between 2012 and 2016. Through the further comparison of regional distribution and clustering analysis of these cities, the paper points out the general characteristics and level differences of smart city construction in China. Finally, some policy implications are proposed to improve the smartness level for Chinese cities.

Suggested Citation

  • Guijun Li & Yongsheng Wang & Jie Luo & Yulong Li, 2018. "Evaluation on Construction Level of Smart City: An Empirical Study from Twenty Chinese Cities," Sustainability, MDPI, vol. 10(9), pages 1-18, September.
  • Handle: RePEc:gam:jsusta:v:10:y:2018:i:9:p:3348-:d:170787
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    References listed on IDEAS

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    1. Matteo Mallus & Giuseppe Colistra & Luigi Atzori & Maurizio Murroni & Virginia Pilloni, 2017. "Dynamic Carpooling in Urban Areas: Design and Experimentation with a Multi-Objective Route Matching Algorith," Sustainability, MDPI, vol. 9(2), pages 1-21, February.
    2. Robert G. Hollands, 2008. "Will the real smart city please stand up?," City, Taylor & Francis Journals, vol. 12(3), pages 303-320, December.
    3. Seunghwan Myeong & Yuseok Jung & Eunuk Lee, 2018. "A Study on Determinant Factors in Smart City Development: An Analytic Hierarchy Process Analysis," Sustainability, MDPI, vol. 10(8), pages 1-17, July.
    4. Renata Paola Dameri, 2017. "Smart City Implementation," Progress in IS, Springer, number 978-3-319-45766-6, February.
    5. Leonardo Meeus & Erik Delarue & Isabel Azevedo & Jean-Michel Glachant & Vitor Leal & Eduardo de Oliveira Fernandes, 2010. "Smart Cities Initiative: how to foster a quick transition towards local sustainable energy systems," RSCAS Working Papers 2010/70, European University Institute.
    6. Chiara Garau & Valentina Maria Pavan, 2018. "Evaluating Urban Quality: Indicators and Assessment Tools for Smart Sustainable Cities," Sustainability, MDPI, vol. 10(3), pages 1-18, February.
    7. Hongbo Shi & Sang-Bing Tsai & Xiaowei Lin & Tianyi Zhang, 2017. "How to Evaluate Smart Cities’ Construction? A Comparison of Chinese Smart City Evaluation Methods Based on PSF," Sustainability, MDPI, vol. 10(1), pages 1-16, December.
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    Cited by:

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    6. Wang, Mengmeng & Zhou, Tao, 2022. "Understanding the dynamic relationship between smart city implementation and urban sustainability," Technology in Society, Elsevier, vol. 70(C).

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