Abstract
This paper develops a prescriptive model for the inter-country allocation of aid from the UK government. The model incorporates three broad motives for allocating aid: recipient need, donor interests and absorptive capacity (the ability of recipient countries to use aid effectively). To determine each motive’s relative importance, a discrete choice experiment (DCE) involving more than 1600 members of the UK general population was conducted. Absorptive capacity is the most important motive, and recipient need and donor interests are equally but much less important. Current UK aid allocations are compared with those prescribed by the model. Some countries, including China, India and Indonesia, would receive much more if aid were allocated according to the model; other countries, including Afghanistan, Ethiopia and Pakistan, would receive much less. Cluster analysis reveals that the political parties voted for by DCE participants at the 2015 general election are, inter alia, related to their aid preferences.
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Notes
All dollar amounts reported are US dollars.
An exception is Lightfoot et al. (2016) which draws on one specific survey question to examine public preferences for using aid to advance national interest versus allocating it to those most in need: The specific survey question was: “Some people say that Britain’s foreign aid should simply be distributed to the countries which are most in need of help. Others say that we should put our own national interests first when deciding how to distribute foreign aid in the developing world. On a scale from 0 (according to need) to 6 (according to our national interests), which number best represents your view about how aid should be distributed?” Responses from the survey question in both 2010 and 2015 indicate an almost equal balance between the two preferences.
Not all aid effectiveness studies have detected a relationship between aid and growth (e.g. Roodman 2007; Rajan and Subramanian 2008). However, numerous surveys of the aid literature (Morrissey 2001; McGillivray et al. 2006; Clemens et al. 2012; Glennie and Sumner 2014) as well as recent meta-analyses of foreign aid and growth (Mekasha and Tarp 2011, 2018) have confirmed (on average) a positive relationship between foreign aid and growth.
Not all studies test for diminishing returns to aid. Those that do usually include a quadratic (aid squared) term and commonly find an inverted U-shaped relationship between aid and growth, implying there are diminishing and eventually negative returns to aid. Note that modelling a nonlinear relationship between aid and growth by using a quadratic term is restrictive because this does not allow for the ‘big push’ theory which suggests that aid has increasing returns.
The DAC updates its list of eligible ODA recipients every three years. The list includes all low- and middle-income countries based on Gross National Income per capita as defined by the World Bank, and all the Least Developed Countries as defined by the United Nations (see OECD 2018).
This software and method have been used previously, inter alia, to measure preferences for the types of countries international development NGOs should allocate funds to (Hansen et al. 2014) and for how the New Zealand government should allocate bilateral aid (Cunningham et al. 2017). Both studies used university students as participants, with Cunningham et al. having a relatively small sample of 185.
Discrete choice experiments are also sometimes referred to as conjoint analysis.
The average part-worth utilities for the full sample were very similar to those for the restricted sample and make very little difference to the modeled aid amounts to individual recipients.
The omitted category for political parties is ‘other’ which includes voting for the Democratic Unionist Party, the Ulster Unionist Party, Sinn Fein, the Plaid Cymru Party of Wales, the Scottish Nationalist Party or the Social Democrats.
For example, as noted by an anonymous referee, countries rather than territories might be favoured by donors due to their sovereignty. Countries with a larger land mass might present greater opportunities for resource exploration and extraction, and countries with larger GDPs might be favoured due to their potential for access to larger exports markets.
Thank you to an anonymous reviewer for this insight.
The absorptive capacity index score was adjusted for these 26 countries: Afghanistan, Bangladesh, Burkina Faso, Burundi, Cambodia, Central African Republic, Chad, Cote d’Ivoire, Democratic Republic of Congo, Ethiopia, Guinea, Haiti, Kenya, Liberia, Mali, Mozambique, Myanmar, Niger, Peoples Democratic Republic of Korea, Sierra Leone, Somalia, South Sudan, Sudan, Tanzania, Uganda and Yemen.
References
Alesina, A., & Dollar, D. (2000). Who gives foreign aid to whom and why? Journal of Economic Growth, 5, 33–63.
Alesina, A., & Weder, B. (2002). Do corrupt governments receive less foreign aid? American Economic Review, 92, 1126–1137.
Asra, A., Estrada, G., Kim, Y., & Quibria, M. G. (2005). Poverty and foreign aid: Evidence from cross-country data (ERD Working Paper Series No. 65). Manila: Economics and Research Division, Asian Development Bank.
Benyon, J. (2003). Poverty efficient aid allocations—Collier/Dollar revisited (ESAU Working Paper No. 2). London: Economic and Statistics Analysis Unit, Overseas Development Institute.
Berthélemy, J.-C., & Tichit, A. (2004). Bilateral Donors’ aid allocation decisions—A three-dimensional panel analysis. International Review of Economics & Finance, 13(3), 253–274.
Bowles, P. (1987). The political economy of UK foreign aid. International Review of Applied Economics, 1(2), 225–240.
Burnside, C., & Dollar, D. (2000). Aid, policies and growth. American Economic Review, 90(4), 847–868.
Clemens, M., Radelet, S., Bhavnani, R., & Bazzi, S. (2012). Counting chickens when they hatch: Timing and the effects of aid on growth. Economic Journal, 122(561), 590–617.
Cogneau, D., & Naudet, J.-D. (2007). Who deserves aid? Equality of opportunity, international aid and poverty reduction. World Development, 35(1), 104–120.
Collier, P., & Dollar, D. (2001). Can the world cut poverty in half? How policy reform and effective aid can meet international development goals. World Development, 29(11), 1787–1802.
Collier, P., & Dollar, D. (2002). Aid allocation and poverty reduction. European Economic Review, 26, 1475–1500.
Cunningham, H., Hansen, P., & Knowles, S. (2017). Bilateral foreign aid: How important is aid effectiveness to people for choosing countries to support? Applied Economics Letters, 24(5), 306–310.
Dalgaard, C.-J., & Hansen, H. (2001). On aid, growth and good policies. Journal of Development Studies, 37(6), 17–35.
Dalgaard, C., Hansen, H., & Tarp, F. (2004). On the empirics of foreign aid and growth. Economic Journal, 114(496), F191–F216.
DFID. (2017). About us. UK Department for International Development (DFID). https://www.gov.uk/government/organisations/department-for-international-development/about. Accessed 3/2/2019.
Doucouliagos, H., & Paldam, M. (2007). A meta-analysis of development aid allocation: The effects of income level and population size (Economics Working Paper 2007-15). Denmark: University of Aarhus.
Dreher, A., Nunnenkamp, P., & Thiele, R. (2011). Are ‘new’ donors different? Comparing the allocation of bilateral aid between non-DAC and DAC donor countries. World Development, 39(11), 1950–1968.
Feeny, S., & de Silva, A. (2012). Measuring absorptive capacity constraints to foreign aid. Economic Modelling, 29(3), 725–733.
Feeny, S., & McGillivray, M. (2008). What determines bilateral aid allocations? New evidence from time-series data. Review of Development Economics, 12(3), 515–529.
Feeny, S., & McGillivray, M. (2011). Scaling-up foreign aid: Will the big push work? The World Economy, 34(1), 54–73.
Glennie, J., & Sumner, A. (2014). The $138.5 billion question: When does foreign aid work (and when doesn’t it)? (CGD Policy Paper 49). Washington, DC: Center for Global Development. http://www.cgdev.org/publication/1385-billion-question-when-does-foreign-aid-work-and-when-doesnt-it. Accessed 3/2/2019.
Hansen, P., Kergozou, N., Knowles, S., & Thorsnes, P. (2014). Developing countries in need: Which characteristics appeal most to people when donating money? Journal of Development Studies, 50(11), 1494–1509.
Hansen, P., & Ombler, F. (2008). A new method for scoring multi-attribute value models using pairwise rankings of alternatives. Journal of Multi-Criteria Decision Analysis, 15, 87–107.
Hansen, H., & Tarp, F. (2000). Aid effectiveness disputed. Journal of International Development, 12, 375–398.
Hansen, H., & Tarp, F. (2001). Aid and growth regressions. Journal of Development Economics, 64, 547–570.
Hoeffler, A., & Outram, V. (2011). Need, merit, or self-interest—What Determines the Allocation of Aid? Review of Development Economics, 15, 237–250.
Hudson, J., & Mosley, P. (2001). Aid, policies and growth: In search of the Holy Grail. Journal of International Development, 13, 1023–1038.
IMF. (2017). Direction of trade statistics. Washington: International Monetary Fund.
Isenman, P. (1976). Biases in aid allocations against poorer and larger countries. World Development, 4(8), 631–641.
Kapstein, E. B. (2005). The politics of policy coherence. In OECD (Ed.), Fostering development in a global economy. Paris: Organisation for Economic Cooperation and Development.
Lensink, R., & White, H. (2001). Are there negative returns to aid? Journal of Development Studies, 37(6), 42–64.
Llavador, H. G., & Roemer, J. E. (2001). An equal opportunity approach to the allocation of international aid. Journal of Development Economics, 64, 147–171.
Maizels, A., & Nissanke, M. (1984). Motivations for aid to developing countries. World Development, 12, 879–900.
Mayer, W., & Raimondos-Møller, P. (2003). The politics of foreign aid: A median voter perspective. Review of Development Economics, 7, 165–178.
McGillivray, M., & Clarke, M. (2018). Fairness in the international allocation of development aid. The World Economy, 41(4), 1068–1087.
McGillivray, M., Feeny, S., Hermes, N., & Lensink, R. (2006). It works; No it doesn’t; well, it can, but that depends…: 50 years of controversy over the macroeconomic impact of development aid. Journal of International Development, 18, 1031–1050.
McGillivray, M., & Oczkowski, E. (1991). Modelling the allocation of Australian bilateral aid: A two-part sample selection approach. Economic Record, 67, 147–152.
McGillivray, M., & Oczkowski, E. (1992). A two-part sample selection model of British bilateral foreign aid allocation. Applied Economics, 24(12), 1311–1319.
McGillivray, M., & White, H. (1994). Development criteria for the allocation and aid and assessment of donor performance (CREDIT Research Papers 94/7). Nottingham: University of Nottingham.
McGillivray, M., White, H., & Leavy, J. (2002). Aid principles and policy: An operational basis for the assessment of donor performance. In B. M. Arvin (Ed.), New perspectives on foreign aid and economic development. Westport, CT: Praeger.
Mekasha, T. J., & Tarp, F. (2011). Aid and growth: What meta-analysis reveals (UNU-WIDER Working Paper No. 2011/22). Helsinki: United Nations University World Institute for Development Economics Research.
Mekasha, T. J., & Tarp, F. (2018). A meta-analysis of aid effectiveness: Revisiting the evidence (UNU-WIDER Working Paper No. 2018/44). Helsinki: United Nations University World Institute for Development Economics Research.
Morrissey, O. (2001). Does aid increase growth? Progress in Development Studies, 1(1), 37–50.
Neumayer, E. (2003). Do human rights matter in bilateral aid allocation? A quantitative analysis of 21 donor countries. Social Science Quarterly, 84(1), 650–666.
OECD. (2011). OECD report on division of labour: Addressing cross-country fragmentation of aid. Paris: Organisation for Economic Development and Cooperation (OECD).
OECD. (2017). Development aid rises again in 2016. Paris: Organisation for Economic Development and Cooperation (OECD). http://www.oecd.org/dac/financing-sustainable-development/development-finance-data/ODA-2016-detailed-summary.pdf. Accessed 3/2/2019.
OECD. (2018). DAC list of ODA recipients. Paris: Organisation for Economic Development and Cooperation (OECD). http://www.oecd.org/dac/stats/daclist.htm. Accessed 3/2/2019.
Rajan, R. G., & Subramanian, A. (2008). Aid and growth: What does the cross-country evidence really show? Review of Economics and Statistics, 90, 643–665.
Roodman, D. (2007). The anarchy of numbers: Aid, development, and cross-country empirics. The World Bank Economic Review, 21(2), 255–257.
Roodman, D. (2009). An index of donor performance (Working Paper No. 67). Washington: Center for Global Development.
Lightfoot, S. Davies, G. A. M, & Johns, R. (2016). Needs and interests: Understanding the British public’s balancing of aid priorities, conference on public opinion and foreign aid: Methodology and policy perspectives. UK: University of Essex.
USAID. (2017). Mission, vision and values. United States Agency for International Development (USAID). https://www.usaid.gov/who-we-are/mission-vision-values. Accessed 3/2/2019.
Wood, A. (2008). Looking ahead optimally in allocating aid. World Development, 36, 1135–1151.
World Bank. (2018). World development indicators online database. Washington: World Bank.
Acknowledgements
The authors are very grateful to Trong Anh Trinh for research assistance and to an anonymous reviewer for very incisive and helpful comments and suggestions. The usual disclaimer applies.
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Feeny, S., Hansen, P., Knowles, S. et al. Donor motives, public preferences and the allocation of UK foreign aid: a discrete choice experiment approach. Rev World Econ 155, 511–537 (2019). https://doi.org/10.1007/s10290-019-00351-4
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DOI: https://doi.org/10.1007/s10290-019-00351-4