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    Aspects of Poverty and Inequality in Cameroon

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    Author(s)
    Kumase, Wokia-azi Ndangle
    Language
    English
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    Abstract
    Poverty and inequality remain extremely high for Cameroon despite improvements in poverty figures between 1996 and 2001. To understand the dynamics of poverty and inequality between 1996 and 2001, this book develops a poverty and inequality profile, investigates the sources of inequality along spatial lines and simulates some policies which could be used in the reduction of poverty and inequality. The book also addresses two major sectors of the Cameroonian economy with a special focus on gender bias in agriculture and linkages between the formal and informal sector. The empirical analyses show that there are large spatial differences in poverty in Cameroon and that sources of inequality vary by location. Regardless of the definition used, the informal sector in Cameroon is extremely large but closely linked to the formal sector. The gender bias experienced by women in access to productive assets in agriculture reduces the efficiency of agricultural production.
    URI
    http://library.oapen.org/handle/20.500.12657/26897
    Keywords
    Aspects; Cameroon; inequality; Inequality; Informal and formal sector linkages; Kumase; Linear expenditure systems; Poverty; Poverty
    DOI
    10.3726/b13873
    ISBN
    9783631753514
    OCN
    1083010927
    Publisher
    Peter Lang International Academic Publishers
    Publisher website
    https://www.peterlang.com/
    Publication date and place
    Bern, 2018
    Series
    Goettinger Studien zur Entwicklungsoekonomik / Goettingen Studies in Development Economics, 28
    Classification
    Literary studies: general
    Political science and theory
    Political structure and processes
    Development economics and emerging economies
    Economic systems and structures
    Pages
    171
    Rights
    https://creativecommons.org/licenses/by/4.0/legalcode
    • Imported or submitted locally

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    License

    • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

    Credits

    • logo EU
    • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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