globalchange  > 气候减缓与适应
DOI: 10.3390/su11041042
WOS记录号: WOS:000460819100102
论文题名:
Examining Social Vulnerability and Inequality: A Joint Analysis through a Connectivity Lens in the Urban Agglomerations of China
作者: Ge, Yi1; Yang, Guangfei1; Chen, Yi2; Dou, Wen3
通讯作者: Dou, Wen
刊名: SUSTAINABILITY
ISSN: 2071-1050
出版年: 2019
卷: 11, 期:4
语种: 英语
英文关键词: social vulnerability ; inequality ; connectivity ; projection pursuit cluster ; urban agglomerations
WOS关键词: CLIMATE-CHANGE ; DISASTERS ; CONTEXT ; HAZARDS ; IMPACT
WOS学科分类: Green & Sustainable Science & Technology ; Environmental Sciences ; Environmental Studies
WOS研究方向: Science & Technology - Other Topics ; Environmental Sciences & Ecology
英文摘要:

China is vulnerable to climate change. Developing the ability to assess social vulnerability and inequality amid climate change will be imperative to ensure that adjustment policies can be developed for various groups and build resilient livelihoods in China. This paper examines social vulnerability and inequality through a joint analysis of urban agglomerations. Based on a conceptual framework of social vulnerability from a network perspective, the social vulnerability index of individual cities is quantified with a projection pursuit cluster model, the social vulnerability index of cities in urban networks is calculated with the Baidu Index, and an inequality analysis is measured by the Theil index. We pilot this study in three urban agglomerations: the Jing-Jin-Ji region, the Yangtze River Delta region, and the Pearl River Delta. Our results show the following: (1) The indicator of "GDP" with the weight value reaching 0.42 has the most influence on social vulnerability. Three indicators, which are fully described herein-"Children", "Illiterate", and "Higher education graduated"-contribute much to social vulnerability index with values between 0.3 and 0.4. These three indicators should receive more attention in integrated risk management. (2) In the Jing-Jin-Ji region, the Theil indexes of two indicators, "Ethnic minorities" and "Green", exceed 0.65 and have the most influence on inequality. In the Yangtze River Delta, three indicators of "Poor", "GDP", and "Green" contribute much to inequality. In the Pearl River Delta, the inequalities of "Green", "Houses with no tap water" and "Higher education graduated" are high. These indicators give advance warning of potential problems, so adjustment is recommended for reducing inequality. (3) Though the connectivity structure of the Yangtze River Delta is more complicated and stronger than that of the other two agglomerations, its inequality of connectivity is higher than the others. (4) Connectivity is key for reducing social vulnerability, on the one hand, but can result in more inequality of social vulnerability, on the other hand. Therefore, it's crucial for government to attach more significance and provide more support to cities with a higher social vulnerability index.


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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/129636
Appears in Collections:气候减缓与适应

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作者单位: 1.Nanjing Normal Univ, Sch Sociol & Dev, Nanjing 210097, Jiangsu, Peoples R China
2.Nanjing Tech Univ, Sch Architecture & Urban Planning, Nanjing 211800, Jiangsu, Peoples R China
3.Southeast Univ, Sch Transportat, Nanjing 210018, Jiangsu, Peoples R China

Recommended Citation:
Ge, Yi,Yang, Guangfei,Chen, Yi,et al. Examining Social Vulnerability and Inequality: A Joint Analysis through a Connectivity Lens in the Urban Agglomerations of China[J]. SUSTAINABILITY,2019-01-01,11(4)
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