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An Asset-Based Approach to Vulnerability: The Case of Small-Scale Fishing Areas in Cameroon and Nigeria

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  • Levison Chiwaula
  • Rudolf Witt
  • Hermann Waibel

Abstract

This paper analyses vulnerability to poverty of rural small-scale fishing communities using cross-section data from 295 households in Cameroon and 267 in Nigeria. We propose a vulnerability measure that incorporates the idea of asset poverty into the concept of expected poverty, which allows decomposing expected poverty into expected structural-chronic, structural-transient, and stochastic-transient poverty. The findings show that most households in our study areas are expected to be structurally-chronic and structurally-transient poor. This underlines the importance of asset formation for long-term poverty reduction strategies. Further refinements are possible with longitudinal data and information about future states of nature.

Suggested Citation

  • Levison Chiwaula & Rudolf Witt & Hermann Waibel, 2011. "An Asset-Based Approach to Vulnerability: The Case of Small-Scale Fishing Areas in Cameroon and Nigeria," Journal of Development Studies, Taylor & Francis Journals, vol. 47(2), pages 338-353.
  • Handle: RePEc:taf:jdevst:v:47:y:2011:i:2:p:338-353
    DOI: 10.1080/00220381003599410
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    References listed on IDEAS

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    1. Neiland, A.E. & BΘnΘ, C. (eds.), 2008. "Tropical river fisheries valuation: background papers to a global synthesis," Monographs, The WorldFish Center, number 37689, April.
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    Cited by:

    1. Prieto Suarez, Joaquin, 2023. "Degrees of vulnerability to poverty: a low-income dynamics approach for Chile," LSE Research Online Documents on Economics 121993, London School of Economics and Political Science, LSE Library.
    2. Muhammad Masood Azeem & Amin W. Mugera & Steven Schilizzi & Kadambot H. M. Siddique, 2017. "An Assessment of Vulnerability to Poverty in Punjab, Pakistan: Subjective Choices of Poverty Indicators," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 134(1), pages 117-152, October.
    3. Angeon, Valérie & Bates, Samuel, 2015. "Reviewing Composite Vulnerability and Resilience Indexes: A Sustainable Approach and Application," World Development, Elsevier, vol. 72(C), pages 140-162.
    4. Chiwaula, Levison & Waibel, Hermann, 2011. "Does seasonal vulnerability to poverty matter? A case study from the Hadejia-Nguru Wetlands in Nigeria," Proceedings of the German Development Economics Conference, Berlin 2011 19, Verein für Socialpolitik, Research Committee Development Economics.
    5. Frank-Borge Wietzke, 2015. "Who Is Poorest? An Asset-based Analysis of Multidimensional Wellbeing," Development Policy Review, Overseas Development Institute, vol. 33(1), pages 33-59, January.
    6. Xue Wang & Guangwen He, 2020. "Digital Financial Inclusion and Farmers’ Vulnerability to Poverty: Evidence from Rural China," Sustainability, MDPI, vol. 12(4), pages 1-18, February.
    7. Novignon, Jacob, 2010. "Estimating household vulnerability to poverty from cross section data: an empirical evidence from Ghana," MPRA Paper 39900, University Library of Munich, Germany.
    8. Tomoki Fujii, 2016. "Concepts and measurement of vulnerability to poverty and other issues: a review of literature," Chapters, in: Jacques Silber & Guanghua Wan (ed.), The Asian ‘Poverty Miracle’, chapter 3, pages 53-83, Edward Elgar Publishing.
    9. Vincent Geronimi & Claire Mainguy & Rémi Generoso & Ibrahima Cisse, 2013. "The Cotton Sector in Mali Trapped in Asset Poverty ? [Le secteur coton au Mali dans un piège de sous-accumulation ?]," Post-Print hal-01753874, HAL.
    10. Mauricio Gallardo, 2020. "Measuring Vulnerability to Multidimensional Poverty," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 148(1), pages 67-103, February.
    11. Kulkarni, Kedar, 2021. "Quantifying Vulnerability of Crop Yields in India to Weather Extremes," 2021 Annual Meeting, August 1-3, Austin, Texas 313879, Agricultural and Applied Economics Association.
    12. repec:ehl:lserod:121085 is not listed on IDEAS
    13. Anh Thu Quang Pham & Pundarik Mukhopadhaya & Ha Vu, 2021. "Estimating poverty and vulnerability to monetary and non-monetary poverty: the case of Vietnam," Empirical Economics, Springer, vol. 61(6), pages 3125-3177, December.
    14. Oconnor, Christopher, 2023. "Robust estimates of vulnerability to poverty using quantile models," Economic Modelling, Elsevier, vol. 123(C).
    15. Witt, Rudolf & Waibel, Hermann, 2011. "Constraints to diversification of poor fishery-dependent households in Cameroon," African Journal of Agricultural and Resource Economics, African Association of Agricultural Economists, vol. 6(2), pages 1-21, September.
    16. Joaquín Prieto, 2024. "Degrees of vulnerability to poverty: A low-income dynamics approach for Chile," Working Papers 666, ECINEQ, Society for the Study of Economic Inequality.
    17. Sagarika Dey, 2018. "The Role of Employment Diversification in Reducing Vulnerability to Poverty among Marginal and Small-holder Agricultural Households in India," Margin: The Journal of Applied Economic Research, National Council of Applied Economic Research, vol. 12(1), pages 88-112, February.
    18. Yuhua Li & Xiheng Gong & Jingyi Zhang & Ziwei Xiang & Chengjun Liao, 2022. "The Impact of Mobile Payment on Household Poverty Vulnerability: A Study Based on CHFS2017 in China," IJERPH, MDPI, vol. 19(21), pages 1-20, October.
    19. Mauricio Gallardo, 2018. "Identifying Vulnerability To Poverty: A Critical Survey," Journal of Economic Surveys, Wiley Blackwell, vol. 32(4), pages 1074-1105, September.

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