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  Quality of Governance, Corruption and Absolute Child Poverty in India

Daoud, A. (2015). Quality of Governance, Corruption and Absolute Child Poverty in India. Journal of South Asian Development, 10(2), 148-167. doi:10.1177/0973174115588844.

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 Creators:
Daoud, Adel1, 2, 3, Author           
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1Projekte von Gastwissenschaftlern und Postdoc-Stipendiaten, MPI for the Study of Societies, Max Planck Society, ou_1214554              
2Department of Sociology and Work Science, University of Gothenburg, Sweden, ou_persistent22              
3The New School for Social Research, New York, USA, ou_persistent22              

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Free keywords: Good governance, India, child poverty, corruption, economic development
 Abstract: Mundle, Chakraborty, Chowdhury and Sikdar (2012) developed the first quality of governance (QoG) measures to assess the performance of India’s states. The present article builds on Mundle et al.’s (2012) framework by analyzing the relationship between their QoG measures and absolute child poverty in India. The empirical analysis also includes corruption indicators from Transparency International to test the relative importance of corruption and governance for combating child poverty. I combine macro (states) and micro data (children) with multilevel statistical models to achieve this task. A key finding is that governance has more explanatory power than corruption. Further, among Mundleetal.’s six measures, the BORDA measure performs consistently better and explains about 60 per cent of the between-states variation: one unit improvement in BORDA yields about 1 per cent decrease in absolute child poverty. The sensitivity of this inference is tested with regards to severe education, shelter and food deprivation.

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Language(s): eng - English
 Dates: 2015
 Publication Status: Issued
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 Rev. Type: Peer
 Identifiers: DOI: 10.1177/0973174115588844
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Title: Journal of South Asian Development
Source Genre: Journal
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Pages: - Volume / Issue: 10 (2) Sequence Number: - Start / End Page: 148 - 167 Identifier: ISSN: 0973-1741
ISSN: 0973-1733