POLICY AND PRACTICE
Aide au développement en faveur de la santé : les décideurs politiques doivent-ils se soucier de son impact macroéconomique?
Asistencia para el desarrollo destinada a la salud: ¿deben preocuparse las instancias normativas por su impacto macroeconómico?
Eleonora Cavagnero1; Christopher Lane; David B Evans; Guy Carrin
Department of Health Systems Financing, Health Systems and Services, World Health Organization, 20 avenue Appia, 1211 Geneva 27, Switzerland
Many low-income countries need to substantially increase expenditure to meet universal coverage goals for essential health services but, because they have very low-incomes, most will be unable to raise adequate funds exclusively from domestic sources in the short to medium term. Increased aid for health will be required. However, there has long been a concern that the rapid arrival of large amounts of foreign exchange in a country could lead to an increase in inflation and loss of international competitiveness, with an adverse impact on exports and economic growth, an economic phenomenon termed 'Dutch disease'. We review cross-country and country-level empirical studies and propose a simple framework to gauge the extent of macroeconomic risks. Of the 15 low-income countries that are increasing aid-financed health spending, 7 have high macroeconomic risks that may constrain the sustained expansion of spending. These conditions also apply in one-quarter of the 42 countries not presently increasing spending. Health authorities should be aware of the multiple risk factors at play, including factors that are health-sector specific and others that generally are not. They should also realize that there are effective means for mitigating the risk of Dutch disease associated with increasing development assistance for health. International partners also have an important role to play since more sustainable and predictable flows of donor funding will allow more productivity enhancing investment in physical and human capital, which will also contribute to ensuring there are few harmful macroeconomic effects of increases in aid.
De nombreux pays à faible revenu doivent substantiellement accroître leurs dépenses pour réaliser les objectifs portant sur la couverture universelle par les services sanitaires essentiels. Néanmoins la grande faiblesse de leurs ressources font qu'ils sont dans l'incapacité, à court ou moyen terme, de lever des fonds suffisants à partir de leurs seules sources domestiques. Il faudra donc leur apporter une aide accrue en faveur de la santé. Cependant, on craint depuis longtemps que l'arrivée rapide de grandes quantités de devises étrangères dans le pays n'entraîne une hausse de l'inflation et une perte de compétitivité internationale, avec des effets négatifs sur les exportations et la croissance économique, un phénomène économique appelé «syndrome hollandais». Nous avons analysé des études empiriques menées à travers ou à l'échelle d'un pays et nous proposons un cadre simple pour jauger l'ampleur des risques macroéconomiques. Parmi les 15 pays à faible revenu dont les dépenses de santé subventionnées sont en augmentation, 7 présentent des risques macroéconomiques importants, qui pourraient faire obstacle à un accroissement durable des dépenses. Ces considérations s'appliquent également à un quart des 42 pays dont les dépense n'augmentent pas actuellement. Les autorités sanitaires doivent être conscientes des nombreux facteurs de risque en jeu, y compris des facteurs spécifiques au secteur sanitaire et d'autres qui ne le sont généralement pas. Elles doivent aussi réaliser qu'il existe des moyens efficaces pour atténuer le risque de syndrome hollandais associé à une augmentation de l'aide au développement en faveur de la santé. Les partenaires internationaux ont également un rôle important à jouer car l'apport par les donateurs de flux de financement plus durables et plus prédictibles favorise des investissements plus productifs en capital humain et physique, ce qui contribue également à minimiser les effets macroéconomiques néfastes d'une aide accrue.
Muchos países de ingresos bajos necesitan aumentar sustancialmente su gasto si desean alcanzar las metas de cobertura universal para servicios de salud esenciales, pero, al ser su renta muy baja, la mayoría no podrán recaudar fondos suficientes de fuentes nacionales a corto y medio plazo. Se requerirá un incremento de la ayuda para la salud. Sin embargo, un riesgo que suscita preocupación desde hace tiempo es que el rápido aflujo de grandes cantidades de divisas a un país puede provocar un aumento de la inflación y pérdida de competitividad en el plano internacional, con el consiguiente perjuicio para las exportaciones y el crecimiento económico. Es lo que se conoce como " mal holandés" . Tras examinar diversos estudios empíricos interpaíses e intrapaíses, proponemos un marco simple para calibrar la magnitud de los riesgos macroeconómicos. De los 15 países de ingresos bajos que están aumentando el gasto en salud financiado con ayuda, 7 presentan riesgos macroeconómicos elevados que pueden dificultar una ampliación sostenida del gasto. Esta situación se da también en una cuarta parte de los 42 países que no están aumentando el gasto actualmente. Las autoridades sanitarias deben ser conscientes de los muchos factores de riesgo que intervienen aquí, dentro y fuera del sector de la salud. Deben reparar también en que existen medios eficaces para mitigar el riesgo de mal holandés asociado al aumento de la asistencia para el desarrollo destinada a la salud. Los asociados internacionales tienen además un papel importante a desempeñar dado que unos flujos más sostenibles y predecibles de financiación por los donantes permitirán hacer una mayor inversión en capital físico y humano y mejorar la productividad, lo que contribuirá también a reducir los efectos negativos de los aumentos de la ayuda en las variables macroeconómicas.
Low-income developing countries need to substantially increase expenditure to meet universal coverage goals for essential health services and to achieve significant improvements in population health, such as those targeted by the Millennium Development Goals.13 Almost all the countries with the most pressing health needs have very low incomes and are unlikely to be able to raise adequate funds exclusively from domestic sources in the near future.4 Increased development assistance will be required to supplement any increase in domestic funds. The international community has responded by substantially increasing commitments to development assistance for health in selected low-income countries (Fig. 1).6
However, there has long been concern that the rapid arrival of large amounts of foreign exchange in a country could lead to an increase in inflation and loss of international competitiveness, with an adverse impact on exports and economic growth.79 This paper examines the risks that aid flows for health pose for key macroeconomic variables, reviews the recent cross-country and country-level empirical studies and suggests how adverse effects could be minimized. It also illustrates how concerns with macroeconomic consequences of aid flows are linked to the question of fiscal space and budget ceilings in the public sector.
Effects of increased aid
Macroeconomists argue that spending large windfalls of foreign exchange may make countries less competitive, either by raising inflation or by appreciating the exchange rate. As a result, exports, productivity and growth may fall or slow. This so-called 'Dutch disease' is named after the macroeconomic impact of natural gas discoveries in the Netherlands in the 1960s, which caused appreciation of the exchange-rate and shrinkage of the manufacturing sector.10 Dutch disease has since been linked to other types of foreign exchange inflows, particularly commodity booms and rapid increases in external assistance.
Foreign-exchange windfalls may result in domestic inflation and/or exchange-rate appreciation. In both cases, the tradable sector (firms that export goods or that compete against imported goods) becomes less competitive and less profitable. Attention is most commonly focused on inflation in goods and services, international competitiveness and the economic growth rate.
Domestic demand and prices
If inflows of aid received as foreign exchange are saved by the government there will be no direct macroeconomic impact, but this is not the purpose of aid. If it is used to purchase goods and services, a share will normally be used to purchase imports, such as drugs. The remainder would be spent on domestically produced goods and services some that are internationally traded (e.g. bandages or cotton) and some that are not (e.g. many medical and transport services), which are known as non-traded goods.
If aid inflows are spent almost entirely on imports or goods that are typically exported, there will be little effect on prices unless the country is very large; most are too small to influence the international price. However, additional spending on non-traded goods and services is likely to lead to price increases (inflation) and have follow-on macroeconomic problems. Therefore the extent to which aid poses a macroeconomic risk depends first on whether it is saved or spent. If aid is spent, the impact depends on whether it is spent on goods and services that are traded or non-traded.
An increase in domestic prices (or wages) relative to foreign prices is called a rise (appreciation) in the real exchange rate (RER). The RER differs from the nominal exchange rate, being simply a measure of trade competitiveness that compares the price of a basket of domestic goods with the price of a basket of foreign goods.11 With an appreciation of the RER, domestic consumers will shift some of their consumption from the higher priced, domestically produced goods to foreign goods. The higher price of local inputs used to produce export goods reduces their profitability, the extent of investment in them, and the quantity of exports. Whether this is a problem depends partly on whether international competitiveness is already an issue, exemplified by a declining export market share and/or low levels of foreign-exchange reserves.
Impact on growth
In the example above, increased inflows of foreign exchange may boost demand for non-tradable goods, raise domestic prices and lower the profitability of producing exports. However, the subsequent effect on economic growth is ambiguous: the boost of demand and output for non-tradable goods may be offset by lower output of less-profitable exports. It is generally found that the tradable sector is associated with more rapid increases in productivity-enhancing skills and technology transfer than the non-tradable sector, so decline in the traded sector can impact long-term growth, even if it does not do so in the shorter run.12,13
Several factors might mitigate the growth impact. First, in countries where there is high unemployment or underemployment, and where other types of excess production capacity exist, foreign-exchange inflows would create additional employment and stimulate production, rather than result in price increases and RER appreciation.14 Second, if foreign-exchange windfalls lead to investments that increase productivity in the non-traded sector, this could eliminate or reverse the short-term Dutch disease effects.15
Investments in infrastructure or capital are more likely to increase productivity than recurrent spending.16,17 Although the evidence is not conclusive, expenditure on health and education may also improve productivity sufficiently to offset the negative macroeconomic effects described above. Certainly, health spending improves health status and the ability to work in low-income countries, while better health and education explain an important part of the difference in growth rates across countries.1820 Thus aid inflows that are spent in ways that improve health status could improve productivity and stimulate economic growth. They could also, through their impact on mortality and morbidity, increase welfare well beyond the impact on gross domestic product (GDP) per capita.21
In most countries, limits are set on the level of total government expenditure each year, usually with considerable input from the ministry of finance and sometimes also with input from the international financial institutions. Fiscal space exists when there is budgetary room that allows a government to provide resources for a desired purpose without any prejudice to the sustainability of a government's fiscal position.22
There is considerable debate about whether ministries of finance, central banks and the international financial institutions impose macroeconomic targets (e.g. inflation targets) that are too restrictive.23,24 The purpose of this paper is not to debate these issues, but to indicate that overall government expenditure ceilings are inextricably linked to overall macroeconomic policies being pursued by governments, and that fears of Dutch disease are part of the process of setting ceilings. That being said, ceilings for individual government departments, rather than for the government as a whole, are more a function of internal political processes than the exigencies of overall macroeconomic policy.
Ceilings are more likely to be increased if the new external funds are believed to be long term and predictable. If not, ceilings might be lifted only partially or not at all. For example, ceilings can sometimes be applied rigidly to activities that require long-term, recurrent expenditures (e.g. hiring staff) but less rigidly to one-off expenditures, such as the purchase of computers. External assistance has often been unpredictable and volatile, especially for the poorest countries that are most dependent on aid.25,26 This unpredictability has meant that ministries of finance have been reluctant to allow ministries of health to make long-term spending commitments immediately new aid flows are received. External partners can contribute substantially to a more rapid use of foreign assistance by providing longer term, more predictable assistance.27
Cross-country studies show some evidence of aid-induced Dutch disease symptoms in general, though not specifically related to health spending. Some studies find that aid undermines the competitiveness of labour-intensive or exporting sectors, or that it depresses exports.28,29 A review of six cross-sectional studies finds a positive association between aid and the RER in four, and mixed results in the others.3035
The sizeable literature reporting country case studies reaches less clear-cut conclusions on the prevalence of Dutch disease subsequent to increasing aid.7,8 In Malawi, Pakistan and Sri Lanka, aid surges were associated with RER appreciation and weak performance of the manufacturing sector, symptoms of Dutch disease.3638 However, case studies of aid surges in Ethiopia, Mauritania, Mozambique, Nigeria and Sierra Leone show no evidence of RER appreciation or inflation.8,9,3941 In these cases, aid may have been used productively or the aid surge may simply not be sufficiently long or large enough to have major macroeconomic effects. In fact, aid to Africa has often been associated with depreciation of the RER, rather than appreciation.4245 A few countries, such as Ghana, Uganda and the United Republic of Tanzania, have initially shown signs of the Dutch disease phenomenon but were able to reverse the situation by following sound fiscal and monetary policies.4349Table 1 summarizes these countries' experiences.
These studies reveal some common macroeconomic consequences of aid surges.7,4649 As observed in Mozambique, Uganda and the United Republic of Tanzania, aid proceeds were spent but the central bank saved much of the foreign exchange to replenish reserves. As a result, domestic inflation accelerated from the aid-induced expansion of the money supply. Where the finance ministry supports spending aid flows but the central bank saves the foreign-exchange inflows, the risks of Dutch disease are higher. However, where central banks fear inflation, as in the United Republic of Tanzania, they typically slow credit growth or absorb cash through sales of securities (i.e. sterilization). This can cause increases in interest rates and can crowd out the private sector from credit, particularly if financial and capital markets are weak. Thus, the capacity to react to Dutch disease symptoms is influenced strongly by the depth of financial markets, inflation, the level of reserves and the volatility of aid inflows, as we discuss further in the next section.
Risk factors for health aid surges
In view of the above discussion, it is clear that being at risk of Dutch disease will depend on net transfers to the health sector (i.e. health grants plus loans, minus repayments of loan principal and interest); the overall net aid (i.e. net overseas development assistance); and on all sources of foreign exchange (e.g. net foreign direct investment or remittances). That being said, our focus in this paper is to understand how we may assess whether aid for health poses or reinforces a risk of Dutch disease.
We confine our risk analysis to 63 low-income countries where development assistance to health (DAH), which includes loans and grants, comprises at least 10% of government spending on health. For DAH to pose a potential macroeconomic risk, both DAH and overall health spending need to be rising significantly. Also, overseas development assistance and other sources of foreign exchange need to remain constant or increase. We define an increase in health spending where DAH increased by more than 25% in constant price US$ terms over the previous 4 years (2-year averages reduce the effect of random fluctuations) and where overall health spending as a share of the GDP increased. This occurred in 15 countries.
We then considered four factors that may pose macroeconomic risks after the increase in spending: (i) current macroeconomic instability (the level of inflation); (ii) the historical extent of DAH volatility; (iii) the level of foreign exchange reserves; and (iv) the depth of financial markets. For the descriptive statistics of these variables see Table 2.
First, the rate of inflation is used as an indicator of macroeconomic instability and excess demand. High inflation may limit the expansion of public spending, even if additional resources are available. To define a threshold for high inflation, we use evidence from the International Monetary Fund50 that the proportion of additional aid that ministries of finance allow to be spent is low when inflation is above 5% in sub-Saharan Africa. We identify countries with 12-month consumer price inflation above 5% at the end of 2006 as possessing this risk factor for Dutch disease, without taking a view on whether this is a reasonable threshold. Of the 15 countries experiencing a scale-up of aid and overall health spending, 11 had inflation rates above 5%, the four exceptions being members of the West African Economic and Monetary Union.
Second, volatile, short-term aid inflows are recognized as more of a problem for macroeconomic management than long-term increases, both because volatile aid means that it might prove difficult to fund some activities in the future and because temporary changes in relative prices may have long-term effects, e.g. by forcing firms out of business. A history of volatile aid flows increases the macroeconomic risks. We measure aid volatility as the deviation of annual aid from its long-term trend using the HodrickPrescott filter to divide the sample into equal-sized high- and low-aid volatility groups.
Third, if reserve levels are low, the monetary authorities are more likely to accumulate aid inflows to increase foreign-exchange levels. Any aid that is spent domestically by the government has to be financed by increasing the money supply, thereby raising inflationary pressures because the counterpart foreign exchange is not released into the market. The International Monetary Fund finds that countries with low levels of foreign reserves (defined as below 2.5 months of import coverage) tend to save aid-sourced foreign exchange rather than sell it to finance extra imports.50 Countries with end-2006 levels of foreign-exchange reserves that amount to less than this cut-off point are, therefore, assessed to have higher inflationary risks from a scale-up of aid than those with higher reserves.
Finally, if a country has substantial financial depth, i.e. has a high level of monetization which is usually defined by the ratio of broad money to GDP, monetary authorities can more easily avert inflationary pressures through open-market operations such as selling treasury or central bank bills to absorb liquidity. In countries with shallow financial markets, these operations are limited. Following a broadly accepted threshold, we define countries with shallow financial markets as those with a ratio of broad money to GDP in 2005 that is less than 30% and view them as at higher risk of aid-induced Dutch disease.
Countries are classified as having high macroeconomic risks if inflation plus at least two of the three other risk factors described above are present, and overseas development assistance did not fall. Medium risk exists with inflation and one or no other risk factor, and low risk if there is no inflation (but up to two other risk factors might be present). This exercise is indicative different thresholds or indicators could be chosen. We have selected those usually related to Dutch disease and give an idea of critical values.
Seven of the 15 countries have high macroeconomic risks (Table 3). The remaining 8 are defined as having medium or low risks. We also identify a further 10 countries that have not had a rapid scale-up of health spending, but which do have high macroeconomic risks. It is possible that macroeconomic risks are constraining the expansion of health aid and spending in these cases, and certainly increased aid is likely to be associated with a risk of Dutch disease.
The largest group of some 30 countries comprises those where there is no evidence of increased health spending and with medium or low macroeconomic risks. In these cases a planned or proposed increase in health aid should not pose immediate significant macroeconomic risks.
The Dutch disease hypothesis states that large inflows of foreign exchange, including that from aid, could increase inflationary pressures, particularly for goods and services that are not traded internationally; cause RER appreciation and reduce economic growth, particularly for exported goods. The impact, if any, depends on an array of country-specific factors.
We have also shown that there are effective means for mitigating the risk of Dutch disease, allowing the increase of DAH required to improve population health, e.g. reaching the Millenium Development Goals, and to meet universal coverage goals for essential health services. Factors that are under the control of the health authorities include how rapidly the aid is spent, the import content of aid-financed spending and whether the spending exacerbates or mitigates local-capacity bottlenecks. If aid relaxes bottlenecks, e.g. by training new health staff, its adverse macroeconomic effects are likely to be mitigated or even be totally eliminated.
Several other factors that are largely beyond the control of the health authorities may determine how the aid impacts on the broader economy. If inflation is already high, expansion of public spending may be constrained regardless of how the ministry of health uses it. The constraints to expanding health spending are also likely to be more binding if there is a history of aid volatility, and if the authorities do not possess good monetary instruments to control inflation.
Macroeconomic risks are assessed to be high in 7 of 15 countries where health spending is scaling up, posing possible constraints for the continued expansion of DAH. Macroeconomic risks are also elevated in 10 countries not presently increasing health spending, which might restrict their capacity to absorb and spend any new DAH. In fact, these problems might already be constraining either health spending or aid inflows.
Lastly, it is important for ministries of health to ensure the efficient use of the new resources that are channelled through government this effectively increases the fiscal space available to the health sector. International partners also have an important role to play. Donor funding has been very unpredictable, to the extent that ministries of finance have been reluctant to allow these funds to be used to build physical infrastructure or invest in human capital on the grounds that they cannot be certain the funds for upkeep will be available in the future. Sustained and predictable flows of aid will allow more productivity-enhancing investment in physical and human capital, contributing to a reduction in the harmful macroeconomic effects of the aid increase.
Competing interests: None declared.
1. Macroeconomics and health: investing in health for economic development. Geneva: WHO; 2001.
2. Investing in development: a practical plan to achieve the millennium development goals. New York: UN Millennium Project; 2005.
3. World development report. Washington, DC: The World Bank; 1993.
4. Williams G, Hay R. Fiscal space and sustainability from the perspective of the health sector [Background paper]. Paris: High level forum on the health Millennium Development Goals; 2005.
5. Statistical Information System (WHOSIS). Geneva: WHO;2008. Available at: http://www.who.int/whosis/en/ [accessed on 22 September 2008] .
6. Gottret PE, Schieber G. Health financing revisited. Washington, DC: The World Bank; 2006.
7. The macroeconomics of managing increased aid flows: experiences of low-income countries and policy implications. Washington, DC: International Monetary Fund; 2005.
8. Killick T, Foster M. The macroeconomics of doubling aid to Africa and the centrality of the supply side. Dev Policy Rev 2007;25:167-92. doi:10.1111/j.1467-7679.2007.00365.x
9. What would doubling aid do for macroeconomic management in Africa? London: Overseas Development Institute; 2006.
10. Corden WM, Neary JP. Booming sector and de-industrialization in a small open economy. Econ J 1982;92:825-48. doi:10.2307/2232670
11. Mankiw NG. Macroeconomics, 6th edn. New York, NY: Worth; 2006.
12. Berg A, Krueger A. Trade, growth, and poverty: a selective survey [working paper 03/30]. Washington, DC: International Monetary Fund; 2003.
13. Hausmann R, Printchett L, Rodrick D. Growth accelerations. [working paper 10566]. Cambridge, MA: National Bureau of Economic Research; 2004.
14. Nkusu M. Aid and the Dutch disease in low-income countries: informed diagnosis for prudent prognoses [working paper 04/49]. Washington, DC: International Monetary Fund; 2004.
15. Torvik R. Learning by doing and the Dutch disease. Eur Econ Rev 2001;45:285-306. doi:10.1016/S0014-2921(99)00071-9
16. Adam C, Bevan DL. Aid, public expenditure and Dutch disease [working paper]. Oxford: Centre for the Study of African Economies; 2003.
17. Fiscal policy for growth and development: further analysis and lessons from country case studies [paper prepared for the Development Committee]. Washington, DC: World Bank; 2007.
18. Gupta S, Verhoeven M, Tiongson E. Public spending on health care and the poor [working paper 01/127]. Washington, DC: International Monetary Fund; 2001.
19. Barro RJ, Sala-i-Martin X. Economic growth. New York, NY: McGraw-Hill; 1995.
20. Bloom DE, Sachs JD. Geography, demography, and economic growth in Africa. Brookings Pap Econ Act 1998;2:207-73. PMID:12295931 doi:10.2307/2534695
21. Crafts N, Haacker M. Welfare implications of HIV/AIDS [working paper 03/118]. Washington, DC: International Monetary Fund; 2003.
22. Growth oriented fiscal policies [paper prepared for the Development Committee]. Washington, DC: The World Bank; 2006.
23. Does the IMF constrain health spending in poor countries? Report of the working group on IMF programs and health spending. Washington, DC: Center for Global Development; 2007.
24. Bruno M, Easterly W. 1995. Inflation crises and long-run growth [working paper 5209]. Cambridge, MA: National Bureau of Economic Research; 1995.
25. Bulir A, Hamann AA. Volatility of development aid: from the frying pan into fire? [working paper 06/65]. Washington, DC: International Monetary Fund; 2006.
26. Gupta S, Yang Y, Powell R. Macroeconomic challenges of scaling up aid to Africa. A checklist for practitioners. Washington, DC: International Monetary Fund; 2006.
27. Eifert B, Gelb A. Improving the dynamics of aid: towards more predictable budget support [working paper 3732]. Washington, DC: The World Bank; 2005.
28. Rajan RG, Subramanian A. What undermines aid's impact on growth? [working paper 05/126]. Washington, DC: International Monetary Fund; 2005.
29. Prati A, Tressel T. Aid volatility and Dutch disease: is there a role for macroeconomic policies? [working paper 06/145]. Washington, DC: International Monetary Fund; 2005.
30. van Wijnberger S. Aid, export promotion, and the real exchange rate: an Africa dilemma? [discussion paper 88]. London: Centre for Economic Policy Research; 1985.
31. Adenauer I, Vagassky L. Aid and the real exchange rate: Dutch disease effects in African countries. Intereconomics. Review of International Trade and Development 1998;33:177-85.
32. Elbadawi IA. External aid: help or hindrance to export orientation in Africa? J Afr Econ 1999;8:578-616.doi:10.1093/jae/8.4.578
33. Prati A, Sahay R, Tressel T. Is there a case for sterilizing foreign aid inflows? Washington, DC: International Monetary Fund; 2003.
34. Bulir A, Lane T. Aid and fiscal management [working paper 02/122]. Washington, DC: International Monetary Fund; 2002.
35. Yano M, Nugent JB. Aid, nontraded goods, and the transfer paradox in small countries. Am Econ Rev 1999;89:431-49.
36. Fanizza D. Foreign aid, macroeconomic stabilization, and growth in Malawi. In: Malawi selected issues and statistical appendix. Washington, DC: International Monetary Fund; 2001.
37. Vos R. Aid flows and Dutch disease in a general equilibrium framework for Pakistan. J Policy Model 1998;20:77-109. doi:10.1016/S0161-8938(97)00001-X
38. White H, Wignaraja G. Exchange rates, trade liberalization and aid: the Sri Lankan experience. World Dev 1992;20:1471-80. doi:10.1016/0305-750X(92)90067-6
40. Sundberg M, Lofgren H, Bourguignon F. Absorptive capacity and achieving the MDGs: the case of Ethiopia [Development economics working paper]. Washington, DC: The World Bank; 2005.
41. The Federal Republic of Ethiopia: 2004 Article IV consultation and sixth review under the three-year agreement under the poverty reduction and growth facility [staff country report 05/25]. Washington, DC: International Monetary Fund; 2005.
42. Ogun O. Real exchange rates movements and exports growth: Nigeria 19601990. Nairobi: African Economic Research Consortium; 1995.
43. Barder O. A policymakers' guide to Dutch disease. What is Dutch disease and is it a problem? [working paper 91]. Washington, DC: Center for Global Development; 2006.
44. Sackey H. External aid flows and the real exchange rate in Ghana. Nairobi: African Economic Research Consortium; 2002.
45. Adam CS, Bevan DL, Chambas G. Exchange rate regimes and revenue performance in sub-Saharan Africa. J Dev Econ 2001;64:173-213. doi:10.1016/S0304-3878(00)00129-2
46. Nyoni TS. Foreign aid and economic performance in Tanzania. World Dev 1998;26:1235-40.doi:10.1016/S0305-750X(98)00047-3
47. Younger SD. Aid and the Dutch disease macroeconomic management when everybody loves you. World Dev 1992;20:1587-97.doi:10.1016/0305-750X(92)90016-O
48. Berg A. High aid inflows case study: Ghana [Paper presented at IMF seminar on foreign aid and macroeconomic management]. Maputo: International Monetary Fund; 2005.
49. Nkusu M. Financing Uganda's poverty reduction strategy: is aid causing more pain than gain? [working paper 04/170]. Washington, DC: International Monetary Fund; 2004.
50. Kasekende LA, Atingi-Ego M. Uganda's experience with aid. J Afr Econ 1999;8:617-49.doi:10.1093/jae/8.4.617
51. The IMF and aid to sub-Saharan Africa [Report from the Independent Evaluation Office of the IMF]. Washington, DC: International Monetary Fund; 2007. Available from: http://www.imf.org/external/np/ieo/2007/ssa/eng/pdf/report.pdf [accessed on 22 September 2008] .
(Submitted: 14 March 2008 Revised version received: 1 August 2008 Accepted: 5 August 2008)