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            Institutions, Inequality and Development

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            Auteur
            Ziegler, Maria
            Language
            English
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            Résumé
            The book focuses on the linkages between institutions, inequality and development. It analyzes formal political institutions, in particular the relationship between democracy and human development. It also centers on informal social institutions leading to the exclusion of population groups such as women and indigenous people. To measure these institutions in the case of gender inequality the Social Institutions and Gender Index (SIGI) and its five subindices are proposed and for the indigenous «disadvantage» the indigenous dummy is used. The dissertation shows that formal and informal institutions affect human development, the governance of a society and inequality.
            URI
            https://doab-dev.siscern.org/handle/20.500.12854/161340
            Keywords
            Bolivia; Development; Gender; Health; Indigenous population; Inequality; Institutions; Ziegler; thema EDItEUR::J Society and Social Sciences::JB Society and culture: general::JBS Social groups, communities and identities::JBSF Gender studies, gender groups::JBSF1 Gender studies: women and girls; thema EDItEUR::J Society and Social Sciences::JP Politics and government::JPA Political science and theory; thema EDItEUR::J Society and Social Sciences::JP Politics and government::JPH Political structure and processes; thema EDItEUR::K Economics, Finance, Business and Management::KC Economics::KCV Economics of specific sectors::KCVJ Health economics
            DOI
            10.3726/978-3-653-00576-9
            ISBN
            9783653005769
            Publisher
            Peter Lang International Academic Publishing Group
            Publication date and place
            Bern, 2012-06-27
            Series
            Goettinger Studien zur Entwicklungsoekonomik / Goettingen Studies in Development Economics,
            Pages
            224
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              This project received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 871069.

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