Quantitative Study on the Dynamic Mechanism of Smart Low-Carbon City Development in China
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 Similari...
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doaj-f439baa98408431eb96fd1a344cbab8f2020-11-24T21:46:33ZengMDPI AGSustainability2071-10502016-05-018650710.3390/su8060507su8060507Quantitative Study on the Dynamic Mechanism of Smart Low-Carbon City Development in ChinaBo Pang0Chuanglin Fang1Haimeng Liu2Institute of Geographic Science and Natural Resources Research, 11A, Datun Road, Chaoyang District, Beijing 100101, ChinaInstitute of Geographic Science and Natural Resources Research, 11A, Datun Road, Chaoyang District, Beijing 100101, ChinaInstitute of Geographic Science and Natural Resources Research, 11A, Datun Road, Chaoyang District, Beijing 100101, ChinaWith 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.http://www.mdpi.com/2071-1050/8/6/507smart low-carbon citydynamic mechanismquantitative studyChina |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Bo Pang Chuanglin Fang Haimeng Liu |
spellingShingle |
Bo Pang Chuanglin Fang Haimeng Liu Quantitative Study on the Dynamic Mechanism of Smart Low-Carbon City Development in China Sustainability smart low-carbon city dynamic mechanism quantitative study China |
author_facet |
Bo Pang Chuanglin Fang Haimeng Liu |
author_sort |
Bo Pang |
title |
Quantitative Study on the Dynamic Mechanism of Smart Low-Carbon City Development in China |
title_short |
Quantitative Study on the Dynamic Mechanism of Smart Low-Carbon City Development in China |
title_full |
Quantitative Study on the Dynamic Mechanism of Smart Low-Carbon City Development in China |
title_fullStr |
Quantitative Study on the Dynamic Mechanism of Smart Low-Carbon City Development in China |
title_full_unstemmed |
Quantitative Study on the Dynamic Mechanism of Smart Low-Carbon City Development in China |
title_sort |
quantitative study on the dynamic mechanism of smart low-carbon city development in china |
publisher |
MDPI AG |
series |
Sustainability |
issn |
2071-1050 |
publishDate |
2016-05-01 |
description |
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. |
topic |
smart low-carbon city dynamic mechanism quantitative study China |
url |
http://www.mdpi.com/2071-1050/8/6/507 |
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