Examining Social Vulnerability and Inequality: A Joint Analysis through a Connectivity Lens in the Urban Agglomerations of China

• Main Authors: Yi Ge, Guangfei Yang, Yi Chen, Wen Dou
• Format: Article
• Language: English
• Published: MDPI AG 2019-02-01
• Series: Sustainability
• Subjects: social vulnerability; inequality; connectivity; projection pursuit cluster; urban agglomerations
• Online Access: https://www.mdpi.com/2071-1050/11/4/1042

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.