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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Main Authors: Bo Pang, Chuanglin Fang, Haimeng Liu
Format: Article
Language:English
Published: MDPI AG 2016-05-01
Series:Sustainability
Subjects:
Online Access:http://www.mdpi.com/2071-1050/8/6/507
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spelling 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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