IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v10y2018i9p3348-d170787.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/10/9/3348/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/10/9/3348/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Robert G. Hollands, 2008. "Will the real smart city please stand up?," City, Taylor & Francis Journals, vol. 12(3), pages 303-320, December.
    2. 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.
    3. Renata Paola Dameri, 2017. "Smart City Implementation," Progress in IS, Springer, number 978-3-319-45766-6, March.
    4. 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.
    5. 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.
    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.
    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. Caprotti, Federico & Liu, Dong, 2020. "Emerging platform urbanism in China: Reconfigurations of data, citizenship and materialities," Technological Forecasting and Social Change, Elsevier, vol. 151(C).
    2. Tiantian Gu & Shuyu Liu & Xuefan Liu & Yujia Shan & Enyang Hao & Miaomiao Niu, 2023. "Evaluation of the Smart City and Analysis of Its Spatial–Temporal Characteristics in China: A Case Study of 26 Cities in the Yangtze River Delta Urban Agglomeration," Land, MDPI, vol. 12(10), pages 1-23, September.
    3. Wang, Mengmeng & Zhou, Tao & Wang, Di, 2020. "Tracking the evolution processes of smart cities in China by assessing performance and efficiency," Technology in Society, Elsevier, vol. 63(C).
    4. Wang, Mengmeng & Zhou, Tao, 2022. "Understanding the dynamic relationship between smart city implementation and urban sustainability," Technology in Society, Elsevier, vol. 70(C).
    5. Yufei Fang & Zhiguang Shan, 2022. "How to Promote a Smart City Effectively? An Evaluation Model and Efficiency Analysis of Smart Cities in China," Sustainability, MDPI, vol. 14(11), pages 1-23, May.
    6. Wu, Wenqing & Zhu, Dongyang & Liu, Wenyi & Wu, Chia-Huei, 2022. "Empirical research on smart city construction and public health under information and communications technology," Socio-Economic Planning Sciences, Elsevier, vol. 80(C).
    7. Yue, Aobo & Mao, Chao & Wang, Zhuoqi & Peng, Wuxue & Zhao, Shuming, 2024. "Finding the pioneers of China's smart cities: From the perspective of construction efficiency and construction performance," Technological Forecasting and Social Change, Elsevier, vol. 204(C).

    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. Wang, Mengmeng & Zhou, Tao & Wang, Di, 2020. "Tracking the evolution processes of smart cities in China by assessing performance and efficiency," Technology in Society, Elsevier, vol. 63(C).
    2. Johannes Stübinger & Lucas Schneider, 2020. "Understanding Smart City—A Data-Driven Literature Review," Sustainability, MDPI, vol. 12(20), pages 1-23, October.
    3. Lill Sarv & Ralf-Martin Soe, 2021. "Transition towards Smart City: The Case of Tallinn," Sustainability, MDPI, vol. 13(8), pages 1-18, April.
    4. André Luis Azevedo Guedes & Jeferson Carvalho Alvarenga & Maurício Dos Santos Sgarbi Goulart & Martius Vicente Rodriguez y Rodriguez & Carlos Alberto Pereira Soares, 2018. "Smart Cities: The Main Drivers for Increasing the Intelligence of Cities," Sustainability, MDPI, vol. 10(9), pages 1-19, August.
    5. Renata Biadacz & Marek Biadacz, 2021. "Implementation of “Smart” Solutions and An Attempt to Measure Them: A Case Study of Czestochowa, Poland," Energies, MDPI, vol. 14(18), pages 1-28, September.
    6. Witold Chmielarz & Marek Zborowski & Alicja Fandrejewska & Mesut Atasever, 2021. "The Contribution of Socio-Cultural Aspects of Smartphone Applications to Smart City Creation. Poland–Turkey Comparison," Energies, MDPI, vol. 14(10), pages 1-23, May.
    7. Wang, Mengmeng & Zhou, Tao, 2022. "Understanding the dynamic relationship between smart city implementation and urban sustainability," Technology in Society, Elsevier, vol. 70(C).
    8. Francesco Schiavone & Francesco Paolo Appio & Luca Mora & Marcello Risitano, 2020. "The strategic, organizational, and entrepreneurial evolution of smart cities," International Entrepreneurship and Management Journal, Springer, vol. 16(4), pages 1155-1165, December.
    9. Justyna Żywiołek & Francesco Schiavone, 2021. "Perception of the Quality of Smart City Solutions as a Sense of Residents’ Safety," Energies, MDPI, vol. 14(17), pages 1-16, September.
    10. Stephen Leitheiser & Alexander Follmann, 2020. "The social innovation–(re)politicisation nexus: Unlocking the political in actually existing smart city campaigns? The case of SmartCity Cologne, Germany," Urban Studies, Urban Studies Journal Limited, vol. 57(4), pages 894-915, March.
    11. Ilja Nastjuk & Simon Trang & Elpiniki I. Papageorgiou, 2022. "Smart cities and smart governance models for future cities," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(4), pages 1917-1924, December.
    12. JungHoon Kim & Byungsun Yang, 2021. "A Smart City Service Business Model: Focusing on Transportation Services," Sustainability, MDPI, vol. 13(19), pages 1-14, September.
    13. KristIna BACULAKOVA, 2020. "Selected Aspects Of Smart City Concepts: Position Of Bratislava," Theoretical and Empirical Researches in Urban Management, Research Centre in Public Administration and Public Services, Bucharest, Romania, vol. 15(3), pages 68-80, August.
    14. Mora, Luca & Deakin, Mark & Reid, Alasdair, 2019. "Combining co-citation clustering and text-based analysis to reveal the main development paths of smart cities," Technological Forecasting and Social Change, Elsevier, vol. 142(C), pages 56-69.
    15. Braga, Irina F.B. & Ferreira, Fernando A.F. & Ferreira, João J.M. & Correia, Ricardo J.C. & Pereira, Leandro F. & Falcão, Pedro F., 2021. "A DEMATEL analysis of smart city determinants," Technology in Society, Elsevier, vol. 66(C).
    16. Sławomira Hajduk, 2021. "Multi-Criteria Analysis of Smart Cities on the Example of the Polish Cities," Resources, MDPI, vol. 10(5), pages 1-23, May.
    17. Nguyen, Huong Thu & Marques, Pilar & Benneworth, Paul, 2022. "Living labs: Challenging and changing the smart city power relations?," Technological Forecasting and Social Change, Elsevier, vol. 183(C).
    18. Mora, Luca & Deakin, Mark & Reid, Alasdair, 2019. "Strategic principles for smart city development: A multiple case study analysis of European best practices," Technological Forecasting and Social Change, Elsevier, vol. 142(C), pages 70-97.
    19. Mundula, Luigi & Auci, Sabrina, 2013. "Smart Cities and a Stochastic Frontier Analysis: A Comparison among European Cities," MPRA Paper 51586, University Library of Munich, Germany.
    20. Primož Pevcin, 2019. "Smart city label: past, present, and future," Zbornik radova Ekonomskog fakulteta u Rijeci/Proceedings of Rijeka Faculty of Economics, University of Rijeka, Faculty of Economics and Business, vol. 37(2), pages 801-822.

    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:gam:jsusta:v:10:y:2018:i:9:p:3348-:d:170787. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.