| Literature DB >> 23870494 |
Carlos Ávila1, Dejan Loncar, Peter Amico, Paul De Lay.
Abstract
BACKGROUND: Trends and predictors of domestic spending from public sources provide national authorities and international donors with a better understanding of the HIV financing architecture, the fulfillment of governments' commitments and potential for long-term sustainability.Entities:
Mesh:
Year: 2013 PMID: 23870494 PMCID: PMC3733926 DOI: 10.1186/1471-2458-13-673
Source DB: PubMed Journal: BMC Public Health ISSN: 1471-2458 Impact factor: 3.295
Descriptive statistics
| | ||||
|---|---|---|---|---|
| | Mean | Mean | Mean | Sample Size |
| (SE) | (SE) | (SE) | (SSA, LAC, Other) | |
| Domestic/Public Spending per capita US$ | 5.52 | 1.88 | 1.07 | 208, 154, |
| | (17.33) | (1.61) | (3.16) | 314 |
| HIV Prevalence | 6.97 | 0.585 | 0.496 | 418, 187, |
| | (7.12) | (.332) | (.617) | 616 |
| GDP per capita US$ | 2,023 | 4,538 | 3,884 | 435, 187, |
| (2917) | (2859) | (3561) | 787 |
*Standard errors indicated by ().
Domestic/public expenditures on HIV and predictors
| | (1) | (2) | (3) | (4) |
| VARIABLES | Ln(domestic public per capita) | Ln(domestic public per capita) | Ln(domestic public per capita) | Ln(domestic public per capita) |
| Ln(Prevalence) | 0.073 | 0.077 | 0.247* | 0.252* |
| | (.230) | (.212) | (.077) | (.076) |
| Ln(GDP_cap) | 1.201* | 1.268* | 1.090* | 1.149* |
| | (.213) | (.153) | (.106) | (.102) |
| Accountability | 0.123 | | | |
| | (.316) | | | |
| Corruption | −0.348 | | | |
| | (.328) | | | |
| Government efficiency | −0.075 | | | |
| | (.413) | | | |
| Political stability | 0.057 | | | |
| | (.143) | | | |
| Regulatory quality | 0.19 | | | |
| | (.305) | | | |
| Rule of law | −0.187 | | | |
| | (.336) | | | |
| Year | 0.009 | | 0.015 | |
| | (.024) | | (.020) | |
| SSA | | | 1.289* | 1.342* |
| | | | (.340) | (.329) |
| LAC | | | 1.096* | 1.039* |
| | | | (.276) | (.269) |
| Constant | −28.718 | −10.30* | −40.498 | −10.061* |
| | (47.722) | (1.165) | (38.911) | (.817) |
| Best model1 | FE | FE | RE | RE |
| Overall R-squared | 0.308 | 0.311 | 0.528 | 0.527 |
| Observations | 647 | 647 | 647 | 647 |
| Number of countries | 125 | 125 | 125 | 125 |
Robust standard errors in parentheses.
* p < 0.001.
1Indicated by the Hausman and Sargan-Hansen Tests.
Figure 1Domestic Public HIV Spending Globally and by Region (2000-2010).
Domestic public spending per-capita in 2010
| | | |||
|---|---|---|---|---|
| Generalized (39)** | $0.81 | $3.38 | $31.58 | $3.04 |
| Concentrated (47) | $0.39 | $0.45 | $3.53 | $0.92 |
| Low level (59) | $0.05 | $0.30 | $1.33 | $0.34 |
| | | | | |
| The Caribbean (12) | $0.05 | $2.48 | $4.02 | $1.83 |
| Eastern Europe and Central Asia (18) | $0.28 | $0.72 | $4.00 | $2.50 |
| Latin America (18) | n/a | $1.42 | $3.74 | $3.14 |
| Middle East and North Africa (16) | $0.05 | $0.25 | $1.01 | $0.20 |
| Oceania(16) | $0.28 | $0.80 | $0.43 | $0.37 |
| Sub-Saharan Africa (43) | $0.96 | $3.41 | $30.83 | $3.45 |
| South and South-East Asia (20) | $0.32 | $0.56 | $0.93 | $0.37 |
| Western and Central Europe (14) | n/a | $0.42 | $1.38 | $1.33 |
| ALL (145) | $0.45 | $0.48 | $4.97 | $1.11 |
*Income level using the World Bank Atlas Method [13].
**Numbers in parenthesis are number of observations.
Figure 2Relationship between GDP and per-capita Spending on AIDS in 2010.
Figure 3Percentage change in domestic public HIV expenditures during 2005-2009 as compared to 2000-2004.