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Volume 13 Issue 4
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Article Navigation >  International Journal of Disaster Risk Science  > 2022  >  13(4): 549-560
Muhammad Siddique Akbar, Muhammad Rizwan Safdar, Farhan Navid Yousaf, Daniel P. Aldrich. Status and Social Capital: A Cross-Sectional Quantitative Investigation of Flood Survivors in South Punjab, Pakistan[J]. International Journal of Disaster Risk Science, 2022, 13(4): 549-560. doi: 10.1007/s13753-022-00427-0
Citation: Muhammad Siddique Akbar, Muhammad Rizwan Safdar, Farhan Navid Yousaf, Daniel P. Aldrich. Status and Social Capital: A Cross-Sectional Quantitative Investigation of Flood Survivors in South Punjab, Pakistan[J]. International Journal of Disaster Risk Science, 2022, 13(4): 549-560. doi: 10.1007/s13753-022-00427-0
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Status and Social Capital: A Cross-Sectional Quantitative Investigation of Flood Survivors in South Punjab, Pakistan

doi: 10.1007/s13753-022-00427-0

  • 1. Institute of Social and Cultural Studies, University of the Punjab, Lahore, 054590, Pakistan;

  • 2. Security and Resilience Studies Program, Department of Political Science, Northeastern University, Boston, MA, 02115, USA

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The Authors are very much grateful to the anonymous reviewers and editors of the IJDRS for their valuable comments and feedback that have helped to bring this manuscript up to the standards of the journal.

  • Available Online: 2022-09-09
    Abstract
  • A growing body of evidence underscores that social capital mitigates the impact of natural hazards such as floods. But we know less about the distribution of social ties in developing countries regularly hit by shocks. Our study examined the differences between demographic groups in South Punjab, Pakistan affected by the 2010 floods, comparing respondents’ levels of social capital measured through proxies such as received social support, perceived community cohesion, accessibility to leadership, and general level of trust. We carried out univariate and multivariate analyses of factors including gender, education, occupation, landholding, family size, annual income, number of livestock, and home stability. Using data collected in face-to-face interviews with 450 flood survivors, our analysis showed no statistically significant difference in the flood victims’ scores on all four scales based on gender and family size. However, education, occupation, landholding, annual income, and home stability statistically correlated with levels of social capital. Respondents with high levels of education, high levels of land, higher home stability, and a government job typically had higher scores in all four measurements of social ties. Our results show strong inequality in the distribution of social capital, with better connections and assistance coming to those who already have better socioeconomic positions in society.
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