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    Wellbeing Economics

    The Capabilities Approach to Prosperity

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    Author(s)
    Dalziel, Paul
    Saunders, Caroline
    Saunders, Joe
    Language
    English
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    Abstract
    Economists have long sought to maximise economic growth, believing this to be their best contribution to improving human welfare. That approach is not sustainable in the face of ongoing issues such as global climate change, environmental damage, rising inequality and enduring poverty. Alternatives must be found. This open access book addresses that challenge. It sets out a wellbeing economics framework that directly addresses fundamental issues affecting wellbeing outcomes. Drawing inspiration from the capabilities approach of Nobel Prize winner Amartya Sen, the book demonstrates how persons can enhance prosperity through their own actions and through collaboration with others. The book examines national public policy, but its analysis also focuses on choices made by individuals, households, families, civil society, local government and the global community. It therefore offers important insights for anyone concerned with improving personal wellbeing and community prosperity.
    URI
    http://library.oapen.org/handle/20.500.12657/23025
    Keywords
    Economics; Management science; Welfare economics; Public policy; Political science; Economic policy; Economic growth
    DOI
    10.1007/978-3-319-93194-4
    Publisher
    Springer Nature
    Publisher website
    https://www.springernature.com/gp/products/books
    Publication date and place
    Cham, 2018
    Series
    Wellbeing in Politics and Policy,
    Classification
    Political structure and processes
    Public administration
    Economic theory and philosophy
    Economic growth
    Political economy
    Pages
    196
    Rights
    https://creativecommons.org/licenses/by/4.0
    • 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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