Measuring the commitment to reduce hunger: A hunger reduction commitment index

•We develop new methods to assess governments’ political commitment to reduce hunger.•We construct indices of political commitment for 21 developing countries.•Malawi tops HRCI country rankings.•Disentangling hunger commitments from hunger outcomes sharply affects rankings. Can an index be construct...

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Published in:Food policy Vol. 44; pp. 115 - 128
Main Authors: te Lintelo, Dolf J.H., Haddad, Lawrence J., Leavy, Jennifer, Lakshman, Rajith
Format: Journal Article
Language:English
Published: Kidlington Elsevier Ltd 01-02-2014
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Abstract •We develop new methods to assess governments’ political commitment to reduce hunger.•We construct indices of political commitment for 21 developing countries.•Malawi tops HRCI country rankings.•Disentangling hunger commitments from hunger outcomes sharply affects rankings. Can an index be constructed to assess governments’ commitment to reduce hunger? This paper argues for the need for such an index and outlines one way of constructing it. We use secondary data to construct the Hunger Reduction Commitment Index (HRCI) for 21 developing countries. We operationalise commitment around 3 themes: legal frameworks, policies and programmes and government expenditures, to find Malawi, the Gambia, Guatemala, Brazil and Senegal heading the list, with China, Nepal, Lesotho, Zambia and Guinea Bissau coming bottom. Rankings were robust to our choices about weighting and ranking methods. The paper demonstrates a viable method to measure political commitment and highlights the analytical importance of disentangling hunger commitment from hunger outcomes. Cross-tabulations of HRCI scores with hunger, wealth, administrative capacity and voice and accountability scores can guide action from different stakeholders (governments, civil society, donors). Finally, we show how primary data collection might be used to assess areas of strength and weakness in country specific commitments to reduce hunger.
AbstractList •We develop new methods to assess governments’ political commitment to reduce hunger.•We construct indices of political commitment for 21 developing countries.•Malawi tops HRCI country rankings.•Disentangling hunger commitments from hunger outcomes sharply affects rankings. Can an index be constructed to assess governments’ commitment to reduce hunger? This paper argues for the need for such an index and outlines one way of constructing it. We use secondary data to construct the Hunger Reduction Commitment Index (HRCI) for 21 developing countries. We operationalise commitment around 3 themes: legal frameworks, policies and programmes and government expenditures, to find Malawi, the Gambia, Guatemala, Brazil and Senegal heading the list, with China, Nepal, Lesotho, Zambia and Guinea Bissau coming bottom. Rankings were robust to our choices about weighting and ranking methods. The paper demonstrates a viable method to measure political commitment and highlights the analytical importance of disentangling hunger commitment from hunger outcomes. Cross-tabulations of HRCI scores with hunger, wealth, administrative capacity and voice and accountability scores can guide action from different stakeholders (governments, civil society, donors). Finally, we show how primary data collection might be used to assess areas of strength and weakness in country specific commitments to reduce hunger.
Can an index be constructed to assess governments' commitment to reduce hunger? This paper argues for the need for such an index and outlines one way of constructing it. We use secondary data to construct the Hunger Reduction Commitment Index (HRCI) for 21 developing countries. We operationalise commitment around 3 themes: legal frameworks, policies and programmes and government expenditures, to find Malawi, the Gambia, Guatemala, Brazil and Senegal heading the list, with China, Nepal, Lesotho, Zambia and Guinea Bissau coming bottom. Rankings were robust to our choices about weighting and ranking methods. The paper demonstrates a viable method to measure political commitment and highlights the analytical importance of disentangling hunger commitment from hunger outcomes. Cross-tabulations of HRCI scores with hunger, wealth, administrative capacity and voice and accountability scores can guide action from different stakeholders (governments, civil society, donors). Finally, we show how primary data collection might be used to assess areas of strength and weakness in country specific commitments to reduce hunger. [PUBLICATION ABSTRACT]
Can an index be constructed to assess governments' commitment to reduce hunger? This paper argues for the need for such an index and outlines one way of constructing it. We use secondary data to construct the Hunger Reduction Commitment Index (HRCI) for 21 developing countries. We operationalise commitment around 3 themes: legal frameworks, policies and programmes and government expenditures, to find Malawi, the Gambia, Guatemala, Brazil and Senegal heading the list, with China, Nepal, Lesotho, Zambia and Guinea Bissau coming bottom. Rankings were robust to our choices about weighting and ranking methods. The paper demonstrates a viable method to measure political commitment and highlights the analytical importance of disentangling hunger commitment from hunger outcomes. Cross-tabulations of HRCI scores with hunger, wealth, administrative capacity and voice and accountability scores can guide action from different stakeholders (governments, civil society, donors). Finally, we show how primary data collection might be used to assess areas of strength and weakness in country specific commitments to reduce hunger.
Can an index be constructed to assess governments' commitment to reduce hunger? This paper argues for the need for such an index and outlines one way of constructing it. We use secondary data to construct the Hunger Reduction Commitment Index (HRCI) for 21 developing countries. We operationalise commitment around 3 themes: legal frameworks, policies and programmes and government expenditures, to find Malawi, the Gambia, Guatemala, Brazil and Senegal heading the list, with China, Nepal, Lesotho, Zambia and Guinea Bissau coming bottom. Rankings were robust to our choices about weighting and ranking methods. The paper demonstrates a viable method to measure political commitment and highlights the analytical importance of disentangling hunger commitment from hunger outcomes. Cross-tabulations of HRCI scores with hunger, wealth, administrative capacity and voice and accountability scores can guide action from different stakeholders (governments, civil society, donors). Finally, we show how primary data collection might be used to assess areas of strength and weakness in country specific commitments to reduce hunger. [Copyright Elsevier B.V.]
Can an index be constructed to assess governments' commitment to reduce hunger? This paper argues for the need for such an index and outlines one way of constructing it. We use secondary data to construct the Hunger Reduction Commitment Index (HRCI) for 21 developing countries. All rights reserved, Elsevier
Author Haddad, Lawrence J.
te Lintelo, Dolf J.H.
Lakshman, Rajith
Leavy, Jennifer
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Snippet •We develop new methods to assess governments’ political commitment to reduce hunger.•We construct indices of political commitment for 21 developing...
Can an index be constructed to assess governments' commitment to reduce hunger? This paper argues for the need for such an index and outlines one way of...
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SubjectTerms Appropriations and expenditures
Brazil
China (People's Republic)
Civil society
Commitments
Construction
Developing countries
Food security
Gambia
Government spending
Governments
Guinea
Hunger
Index
Indexes
LDCs
Lists
Nepal
Policies
Political commitment
Political commitments
Poverty alleviation
Poverty relief
Public policy
Ranking
Rating
Reduction
Secondary analysis
Senegal
Wealth
Title Measuring the commitment to reduce hunger: A hunger reduction commitment index
URI https://dx.doi.org/10.1016/j.foodpol.2013.11.005
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https://search.proquest.com/docview/1541993927
https://search.proquest.com/docview/1551043860
https://search.proquest.com/docview/1730061406
Volume 44
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