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

Author

Listed:
  • Yi Ge

    (School of the Sociology and Development, Nanjing Normal University, Nanjing 210097, China)

  • Guangfei Yang

    (School of the Sociology and Development, Nanjing Normal University, Nanjing 210097, China)

  • Yi Chen

    (School of Architecture and Urban Planning, Nanjing Tech University, Nanjing 211800, China)

  • Wen Dou

    (School of Transportation, Southeast University, Nanjing 210018, China)

Abstract

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.

Suggested Citation

  • Yi Ge & Guangfei Yang & Yi Chen & Wen Dou, 2019. "Examining Social Vulnerability and Inequality: A Joint Analysis through a Connectivity Lens in the Urban Agglomerations of China," Sustainability, MDPI, vol. 11(4), pages 1-19, February.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:4:p:1042-:d:206650
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    1. Jundong Hou & Jun Lv & Xin Chen & Shiwei Yu, 2016. "China’s regional social vulnerability to geological disasters: evaluation and spatial characteristics analysis," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 84(1), pages 97-111, November.
    2. Melissa K Andrew & Arnold B Mitnitski & Kenneth Rockwood, 2008. "Social Vulnerability, Frailty and Mortality in Elderly People," PLOS ONE, Public Library of Science, vol. 3(5), pages 1-8, May.
    3. Zhenguo Huang & Yongqiang Zong & Weiqiang Zhang, 2004. "Coastal Inundation due to Sea Level Rise in the Pearl River Delta, China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 33(2), pages 247-264, October.
    4. Government of Fiji, 2017. "Climate Vulnerability Assessment," World Bank Publications - Reports 28870, The World Bank Group.
    5. Clémence Guillard-Gonçalves & Susan L. Cutter & Christopher T. Emrich & José Luís Zêzere, 2015. "Application of Social Vulnerability Index (SoVI) and delineation of natural risk zones in Greater Lisbon, Portugal," Journal of Risk Research, Taylor & Francis Journals, vol. 18(5), pages 651-674, May.
    6. Susan L. Cutter & Bryan J. Boruff & W. Lynn Shirley, 2003. "Social Vulnerability to Environmental Hazards," Social Science Quarterly, Southwestern Social Science Association, vol. 84(2), pages 242-261, June.
    7. Nathan Wood & Christopher Burton & Susan Cutter, 2010. "Community variations in social vulnerability to Cascadia-related tsunamis in the U.S. Pacific Northwest," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 52(2), pages 369-389, February.
    8. Krishna Malakar & Trupti Mishra & Anand Patwardhan, 2018. "Inequality in water supply in India: an assessment using the Gini and Theil indices," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 20(2), pages 841-864, April.
    9. Chris Sall, 2013. "Climate Trends and Impacts in China," World Bank Publications - Reports 17558, The World Bank Group.
    10. Elder, K. & Xirasagar, S. & Miller, N. & Bowen, S.A. & Glover, S. & Piper, C., 2007. "African Americans' decisions not to evacuate New Orleans before Hurricane Katrina: a qualitative study," American Journal of Public Health, American Public Health Association, vol. 97(S1), pages 124-129.
    11. Gnansounou, Edgard, 2008. "Assessing the energy vulnerability: Case of industrialised countries," Energy Policy, Elsevier, vol. 36(10), pages 3734-3744, October.
    12. Guy P. Nason, 2001. "Robust projection indices," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 63(3), pages 551-567.
    13. Alcantara, Vicent & Duro, Juan Antonio, 2004. "Inequality of energy intensities across OECD countries: a note," Energy Policy, Elsevier, vol. 32(11), pages 1257-1260, July.
    14. Yi Ge & Wen Dou & Haibo Zhang, 2017. "A New Framework for Understanding Urban Social Vulnerability from a Network Perspective," Sustainability, MDPI, vol. 9(10), pages 1-16, September.
    15. Lixiao Zhang & Zhifeng Yang & Jing Liang & Yanpeng Cai, 2010. "Spatial Variation and Distribution of Urban Energy Consumptions from Cities in China," Energies, MDPI, vol. 4(1), pages 1-13, December.
    16. Andrea Gatto & Francesco Busato, 2019. "Defining, measuring and ranking energy vulnerability," CREATES Research Papers 2019-01, Department of Economics and Business Economics, Aarhus University.
    17. Cuong Viet Nguyen & Ralph Horne & John Fien & France Cheong, 2017. "Assessment of social vulnerability to climate change at the local scale: development and application of a Social Vulnerability Index," Climatic Change, Springer, vol. 143(3), pages 355-370, August.
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