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Cited by 429

The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.

Wellbeing in Developing Countries: From Theory to Research

·2007·Cambridge University Press eBooks

Abstract

In a world where many experience unprecedented levels of wellbeing, chronic poverty remains a major concern for many developing countries and the international community. Conventional frameworks for understanding development and poverty have focused on money, commodities and economic growth. This 2007 book challenges these conventional approaches and contributes to a new paradigm for development centred on human wellbeing. Poor people are not defined solely by their poverty and a wellbeing approach provides a better means of understanding how people become and stay poor. It examines three perspectives: ideas of human functioning, capabilities and needs; the analysis of livelihoods and resource use; and research on subjective wellbeing and happiness. A range of international experts from psychology, economics, anthropology, sociology, political science and development evaluate the state-of-the-art in understanding wellbeing from these perspectives. This book establishes a new strategy and methodology for researching wellbeing that can influence policy.

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Crossref · 10.1017/cbo9780511488986

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Metadata

Venue
Cambridge University Press eBooks
Published
2007-05-31
OpenAlex
W1582236191
Cited by
429
References
9
FWCI
30.95
Type
book
Language
en
Open access
closed

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CoChat. (2026). Citation check: Wellbeing in Developing Countries: From Theory to Research. https://app.cochat.ai/papers/10.1017/cbo9780511488986
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Wellbeing in Developing Countries: From Theory to Research. (2007). Cambridge University Press eBooks. https://doi.org/10.1017/cbo9780511488986

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.