The impact of public spending on health: does money matter?
Introduction
In 1995 over nine million children, under five years, in developing countries died avoidable deaths: more than the entire population of Sweden or Zambia.1 The cumulative human suffering in the individual and familial tragedies behind these statistics is overwhelming and creates a powerful impetus to action. Towards the aim of supporting effective action we examine the determinants of these differences in the widest and best measured indicators of health status: child (under-5 years) and infant mortality. We establish two major points about the cross-national relationship between health status and public spending on health.2
First, there is an enormous gap between the apparent potential of public spending to improve health status and the actual performance. Reviews of the cost effectiveness of preventive and primary curative interventions suggest that a significant fraction of under five deaths could be avoided for as little as $10, and in many cases under $1000, per death averted (Jamison et al., 1993). However, in practice, cross-national differences in public spending on health account for essentially none (one seventh of 1%) of the differences in health status. This extremely small actual association estimated from the cross-national data implies that the typical public spending on health per child death averted in developing countries is $50,000 to 100,000. This is a striking discrepancy between the apparent potential and actual performance.
Second, while public spending appears to explain little, the differences across countries in infant and child mortality are well explained by economic and social factors. The finding that ‘development’ is strongly associated with improvements in mortality is neither surprising nor new (Caldwell, 1986, World Bank, 1993). What is perhaps surprising is the strength of the relationship as essentially all (95%) of the cross-national variations in either under-5 or infant mortality can be explained by just five factors: the average level of income, the distribution of income, the extent of female education, the extent of ethno-linguistic differences within a country, and whether a country is predominately Muslim. While there are poor countries with exceptionally good health status, properly accounting for income and other economic determinants leaves little to be explained by independent variations in health policy.
Section snippets
Methods: variables, data and procedures
Our empirical strategy is straightforward: we specify and estimate a multivariate regression that explains country level health outcomes with socioeconomic characteristics and public expenditures on health.
We estimate the following equation derived from an aggregate ‘health production function’ that assumes that health outcomes depend on a countries’ income, knowledge, and social capability (see Appendix A):This equation relates the (natural) log of
Results
Both the direction and magnitude of the estimates on the socio-economic variables are consistent with results reported elsewhere. The elasticity of child mortality with respect to income of around −0.6 (the estimates vary between −0.51 and −0.61) is consistent with previous findings using cross-sectional or time series national level data (see earlier Discussion).10
Realized cost, potential cost, and interpretation
Overall, these regressions show that differences in public sector spending on health do not go far in explaining why some countries have high, and others low, child mortality. Doubling the share of GDP devoted to public spending on health from the mean of 2.96 to 5.92% is associated with an improvement in mortality of only between 9 and 13%.
Acknowledgements
We would like to thank Nancy Birdsall, Jeffrey Hammer, Maureen Lewis, Samuel Lieberman, and Martin Ravallion for helpful discussions. The findings, interpretations, and conclusions expressed in this article are entirely those of the authors. They do not necessarily represent the views of the World Bank, its Executive Directors, or the countries they represent. This study was funded in part by the World Bank’s Research Support Budget (RPO 680-29).
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