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

Chuanglin Fang, Bo Pang and Haimeng Liu
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Chuanglin Fang: Institute of Geographic Science and Natural Resources Research, 11A, Datun Road, Chaoyang District, Beijing 100101, China
Bo Pang: University of Chinese Academy of Sciences, 19 A, Yuquan Road, Shijingshan District, Beijing 100049, China
Haimeng Liu: University of Chinese Academy of Sciences, 19 A, Yuquan Road, Shijingshan District, Beijing 100049, China

Sustainability, 2016, vol. 8, issue 6, 1-18

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.

Keywords: smart low-carbon city; dynamic mechanism; quantitative study; China (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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