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	Quantitative Study on the Dynamic Mechanism of Smart Low-Carbon City Development in China
	Pang B.; Fang, C. L.; Liu, H. M.
	2016
关键词	smart low-carbon city dynamic mechanism quantitative study China industrial development economic-growth cities expansion
英文摘要	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.
出处	Sustainability
卷	8
期	6
语种	英语
ISSN号	2071-1050
DOI标识	10.3390/su8060507
内容类型	SCI/SSCI论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/43163]
专题	地理科学与资源研究所_历年回溯文献
推荐引用方式 GB/T 7714	Pang B.,Fang, C. L.,Liu, H. M.. Quantitative Study on the Dynamic Mechanism of Smart Low-Carbon City Development in China. 2016.

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