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

C. Fang,B. Pang,Haimeng Liu

Published 2016 in Sustainability

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.

PUBLICATION RECORD

  • Publication year

    2016

  • Venue

    Sustainability

  • Publication date

    2016-05-26

  • Fields of study

    Economics, Environmental Science

  • Identifiers
    DOI 10.3390/SU8060507
  • External record

    Open on Semantic Scholar

  • Source metadata

    Semantic Scholar

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