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Quantitative Study on the Dynamic Mechanism of Smart Low-Carbon City Development in China

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  • Chuanglin Fang

    (Institute of Geographic Science and Natural Resources Research, 11A, Datun Road, Chaoyang District, Beijing 100101, China
    University of Chinese Academy of Sciences, 19 A, Yuquan Road, Shijingshan District, Beijing 100049, China)

  • Bo Pang

    (University of Chinese Academy of Sciences, 19 A, Yuquan Road, Shijingshan District, Beijing 100049, China
    Xinjiang University, 14 Shengli Road, Urumqi 830046, China)

  • Haimeng Liu

    (University of Chinese Academy of Sciences, 19 A, Yuquan Road, Shijingshan District, Beijing 100049, China
    Xinjiang University, 14 Shengli Road, Urumqi 830046, China)

Abstract

With the development of new generation technology and the low-carbon economy, the smart low-carbon city has become one of the academic hotspots. Many studies on it have begun; however, the dynamic mechanism is rarely involved. Therefore, this paper uses the Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) method to creatively take a quantitative study on a Chinese smart low-carbon city’s dynamic mechanism. The results show that: (1) the three main dynamics of smart low-carbon city development in China are institutional and cultural conditions, facilities and functions conditions and economy and industry conditions, but the overall utility is relatively low; (2) the level of the dynamic operation mechanism of the Chinese smart low-carbon city is distinct between regions, indicating a diminishing spatial law from east to west and differences within regions; (3) the imbalance of the comprehensive dynamic mechanism and the operation status between smart low-carbon cities is prominent, showing a decreasing urban scale law of from big to small and differences within each scale, and a descending administration hierarchy law from high to low and differences within each class; (4) seven basic development patterns can be obtained, and most of the cities belong to the external strong/internal weak mode, which basically matches with its development realities. Finally, general policy recommendations and countermeasures of optimization and improvement are proposed.

Suggested Citation

  • Chuanglin Fang & Bo Pang & Haimeng Liu, 2016. "Quantitative Study on the Dynamic Mechanism of Smart Low-Carbon City Development in China," Sustainability, MDPI, vol. 8(6), pages 1-18, May.
    • Handle: RePEc:gam:jsusta:v:8:y:2016:i:6:p:507-:d:70852
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    References listed on IDEAS

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    Cited by:

    1. Sławomira Hajduk & Dorota Jelonek, 2021. "A Decision-Making Approach Based on TOPSIS Method for Ranking Smart Cities in the Context of Urban Energy," Energies, MDPI, vol. 14(9), pages 1-23, May.
    2. Wei Tang & Tiancai Zhou & Jian Sun & Yurui Li & Weipeng Li, 2017. "Accelerated Urban Expansion in Lhasa City and the Implications for Sustainable Development in a Plateau City," Sustainability, MDPI, vol. 9(9), pages 1-19, August.

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