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Understanding Smart City Practice in Urban China: A Governance Perspective

Author

Listed:
  • Yan Han

    (Key Laboratory of Regional Sustainable Development Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
    College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China)

  • Jianming Cai

    (Key Laboratory of Regional Sustainable Development Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
    College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China)

  • Enpu Ma

    (School of Geographic Sciences, Hunan Normal University, Changsha 410081, China)

  • Shanshan Du

    (College of Arts and Sciences, Beijing Union University, Beijing 100191, China)

  • Jing Lin

    (College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
    State Key Laboratory of Resources and Environment Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China)

Abstract

Through an evolution from an emerging marketing narrative to a geographical fact around the globe, smart city is increasingly understood as a city’s effort to make itself smart. There seems no single city in the world to be commonly recognized as a real smart city yet, albeit many cities have already tried hard in this missionary commitment. Yet some common features can still be seen and identified, particularly from the urban governance perspective. This article explores the practice of smart city construction in China through a lens of governance by observing the interactive involvement of key stakeholders in the process. By taking three cities (Hangzhou, Wuhan, and Shanghai) in China as study cases, a conceptual framework is established in which three sets of actors, i.e., ICT-related enterprises, government, and civil society, and, accordingly, three types of approaches, i.e., ICT-led, planning-led, and place-making-and-community-oriented, are identified. It is found that the evolution of smart city construction rather follows a nonlinear trajectory and is very dependent on whether or not the primary actors and related stakeholders can form an affirmative acting power in triggering the city’s implementation. In other words, there is no “one-size-fits-all” approach to smart city construction. Each city may have its specialization in smartness based on awareness of and respecting its unique existing setting. The empirical study also shows that smart city construction tends to be converged in recognition that the core of smart city is not the smartness of technology but the smartness of all institutions and people enabled to utilize smart tools properly and efficiently in pursuit of people’s well-being, institutional capacity building, and better spatial arrangement towards a sustainable, resilient, and inclusive city in and for the future. From a geographical perspective, that is how to build a smart urban space to make the city a better place to not just accommodate but facilitate and meet people’s increasing demand for a better life in their living places.

Suggested Citation

  • Yan Han & Jianming Cai & Enpu Ma & Shanshan Du & Jing Lin, 2023. "Understanding Smart City Practice in Urban China: A Governance Perspective," Sustainability, MDPI, vol. 15(9), pages 1-21, April.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:9:p:7034-:d:1130053
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    References listed on IDEAS

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    1. Dameri, Renata Paola & Benevolo, Clara & Veglianti, Eleonora & Li, Yaya, 2019. "Understanding smart cities as a glocal strategy: A comparison between Italy and China," Technological Forecasting and Social Change, Elsevier, vol. 142(C), pages 26-41.
    2. Jesse M. Shapiro, 2006. "Smart Cities: Quality of Life, Productivity, and the Growth Effects of Human Capital," The Review of Economics and Statistics, MIT Press, vol. 88(2), pages 324-335, May.
    3. van der Graaf, Shenja & Ballon, Pieter, 2019. "Navigating platform urbanism," Technological Forecasting and Social Change, Elsevier, vol. 142(C), pages 364-372.
    4. Ari-Veikko Anttiroiko, 2021. "Digital Urban Planning Platforms: The Interplay of Digital and Local Embeddedness in Urban Planning," International Journal of E-Planning Research (IJEPR), IGI Global, vol. 10(3), pages 35-49, July.
    5. Norgaard, Richard B., 2005. "Bubbles in a back eddy: A commentary on "The origin, diagnostic attributes and practical application of coevolutionary theory"," Ecological Economics, Elsevier, vol. 54(4), pages 362-365, September.
    6. Lafta Farhan, Sabeeh & Nasar, Zuhair A., 2022. "The social transformation of the historical city centre of Karbala , Iraq," Journal of Urban Regeneration and Renewal, Henry Stewart Publications, vol. 15(3), pages 293-307, March.
    7. Si Ying Tan & Araz Taeihagh, 2020. "Smart City Governance in Developing Countries: A Systematic Literature Review," Sustainability, MDPI, vol. 12(3), pages 1-29, January.
    8. Sepasgozar, Samad M.E. & Hawken, Scott & Sargolzaei, Sharifeh & Foroozanfa, Mona, 2019. "Implementing citizen centric technology in developing smart cities: A model for predicting the acceptance of urban technologies," Technological Forecasting and Social Change, Elsevier, vol. 142(C), pages 105-116.
    9. John V. Winters, 2011. "Why Are Smart Cities Growing? Who Moves And Who Stays," Journal of Regional Science, Wiley Blackwell, vol. 51(2), pages 253-270, May.
    10. Anna D’Auria & Marco Tregua & Manuel Carlos Vallejo-Martos, 2018. "Modern Conceptions of Cities as Smart and Sustainable and Their Commonalities," Sustainability, MDPI, vol. 10(8), pages 1-18, July.
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    1. Jinchao Huang & Shuang Meng & Jiajie Yu, 2023. "The Effects of the Low-Carbon Pilot City Program on Green Innovation: Evidence from China," Land, MDPI, vol. 12(8), pages 1-26, August.

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