We conduct a discrete choice experiment to determine how important aid effectiveness is to people relative to other criteria for choosing countries to support with bilateral foreign aid. We find that aid effectiveness is important, on a par with recipient-country need as proxied by the level of hunger and malnutrition. Both criteria are more important than others.
Thank you to the people who participated in the discrete choice experiment. Funding from the Department of Economics, School of Business at the University of Otago is gratefully acknowledged.
Disclosure statement
No potential conflict of interest was reported by the authors.
Notes
1 See for the wording of the attributes and their levels.
2 1000Minds is available for unfunded research for free from the third author or via www.1000minds.com. Other recent DCE applications of PAPRIKA and 1000Minds include selecting plant species for ecosystem restoration (Graff and McIntyre Citation2014), marine policy-making (Chhun, Kahui, and Thorsnes Citation2015), prioritizing patients (White et al. Citation2015), plant (Smith and Fennessy Citation2014) and animal breeding (Martin-Collado et al. Citation2015) and retirement income policy-making (Au, Coleman & Sullivan, Citation2015).
3 For technical details, see Hansen and Ombler (Citation2008).
Graff, P., and S. McIntyre. 2014. “Using Ecological Attributes as Criteria for the Selection of Plant Species under Three Restoration Scenarios.” Austral Ecology39: 907–917. doi:10.1111/aec.2014.39.issue-8.
Chhun, S., V. Kahui, and P. Thorsnes. 2015. “Advancing Marine Policy Towards Ecosystem Based Management by Eliciting Public Preferences.” Marine Resources Economics30: 261–275. doi:10.1086/681052.
White, D., K. Solanki, V. Quincey, A. Minett, G. Tam, A. Doube, and R. Naden. 2015. “Development of a Multi-Dimensional Additive Points System for Determining Access to Rheumatology Services.” Journal of Clinical Rheumatology21: 239–243. doi:10.1097/RHU.0000000000000274.
Smith, K., and P. Fennessy. 2014. “Utilizing Conjoint Analysis to Develop Breeding Objectives for the Improvement of Pasture Species for Contrasting Environments When the Relative Values of Individual Traits Are Difficult to Assess.” Sustainable Agriculture Research3: 44–55. doi:10.5539/sar.v3n2p44.
Martin-Collado, D., T. J. Byrne, P. R. Amer, B. F. S. Santos, M. Axford, and J. E. Pryce. 2015. “Analyzing the Heterogeneity of Farmers’ Preferences for Improvements in Dairy Cow Traits Using Farmer Typologies.” Journal of Dairy Science 96: 4148–4161.
Au, J., A. Coleman, and T. Sullivan. 2015. “A Practical Approach to Well-Being Based Policy Development: What Do New Zealanders Want from Their Retirement Income Policies?” New Zealand Treasury Working Papers, 15/14, Wellington: New Zealand Treasury.
Hansen, P., and F. Ombler. 2008. “A New Method for Scoring Additive Multi-Attribute Value Models Using Pairwise Rankings of Alternatives.” Journal of Multi-Criteria Decision Analysis15: 87–107. doi:10.1002/mcda.v15:3/4.
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