| Literature DB >> 35759457 |
Wiwik Handayani1, Abdelmohsen A Nassani2, Mohamed Haffar3, Khalid Zaman4.
Abstract
The United Nations' Sustainable Development Goals (SDGs) were designed to benefit the globalized world by safeguarding economic and environmental resources necessary for quality health and well-being and moderate growth and development. The study focused specifically on SDG-3 (good health and well-being), SDG-5 (gender equality), and SDG-8 (decent work and economic growth) to identify the most significant influencing factors that can affect the under-5 mortality rate in a large cross-section of 166 countries. The research used three different regression apparatuses to produce consistent and unbiased estimates: cross-sectional, robust least squares, and quantile regression approaches. Additionally, the innovation accounting matrix technique examines the intertemporal relationships between the variables over the time horizon. The data reveal that precarious female employment increases the under-5 mortality rate. On the other hand, women's political autonomy continued economic growth, and higher immunization coverage is supporting factors for achieving healthcare sustainability agenda. The ex-ante analysis indicates that per capita income will significantly impact the under-5 mortality rate, followed by women's political autonomy, insecure female employment, and immunization coverage during the next ten years. The results are consistent with other health indicators such as the health damage function, labour market function, and wealth function. The study suggests that the more unlocking women's potential in political life, the more likely it is to achieve equitable healthcare choices and reduce the mortality rate among children under five. As a result, there is an urgent need for women to have an equitable share of the labour market to appropriately meet their family healthcare demands.Entities:
Mesh:
Year: 2022 PMID: 35759457 PMCID: PMC9236242 DOI: 10.1371/journal.pone.0269575
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.752
A few facts about socio-economic sufferings leading to under-5 mortality rates.
| Countries | Female Vulnerable Employment (% of female employment) | Under-5 Mortality Rate (Per 1,000 live births) | Women Business and the Law Index Score (Scale 1 to 100) | Measles Immunization Rate (% of children ages 12–23 months) |
|---|---|---|---|---|
| Afghanistan | 89.47 | 60.3 | 38.125 | 64 |
| Congo, Rep. | 90.70 | 47.8 | 49.375 | 73 |
| Equatorial Guinea | 79.61 | 81.8 | 51.875 | 53 |
| Guinea-Bissau | 80.31 | 78.5 | 42.500 | 79 |
| Haiti | 81.27 | 62.8 | 63.75 | 65 |
| India | 75.28 | 34.3 | 74.35 | 95 |
| Indonesia | 57.08 | 23.9 | 64.375 | 88 |
| Mauritania | 75.67 | 72.9 | 48.125 | 78 |
| Niger | 97.97 | 80.4 | 59.375 | 79 |
| Nigeria | 85.21 | 117.2 | 63.125 | 54 |
| Pakistan | 70.16 | 67.2 | 52.501 | 81 |
| Papua New Guinea | 84.01 | 44.8 | 60 | 37 |
| Sierra Leone | 92.94 | 109.2 | 63.125 | 93 |
Source: World Bank [2].
Fig 1Healthy interventions to reduce under-5 mortality rates.
Source: Adapted from Pillai& Christina [28] and authors extract.
Fig 2Equitable labor market reforms.
Source: Adapted from Vives et al. [29] and authors extract.
Fig 3Wealth function.
Source: Adapted from Mujeed et al. [33] and authors extract.
Descriptive statistics.
| Methods | U5MR | FVE | WPA | GDPPC | IMUN |
|---|---|---|---|---|---|
| Mean | 27.819 | 40.258 | 75.515 | 13290.58 | 87.198 |
| Maximum | 117.200 | 98.770 | 100 | 111043.5 | 99 |
| Minimum | 2.100 | 0.040 | 26.250 | 208.074 | 33 |
| Std. Dev. | 28.030 | 30.949 | 17.577 | 18825.35 | 13.910 |
| Skewness | 1.323 | 0.392 | -0.892 | 2.268 | -1.774 |
| Kurtosis | 3.897 | 1.709 | 3.332 | 8.588 | 5.921 |
Note: U5MR shows an under-5 mortality rate, FVE shows female vulnerable employment, WPA shows women’s political autonomy, GDPPC shows GDP per capita, IMUN shows immunization rate.
Correlation matrix.
| Variables | U5MR | FVE | WPA | GDPPC | IMUN |
|---|---|---|---|---|---|
| U5MR | 1 | ||||
| ----- | |||||
| FVE | 0.832 | 1 | |||
| (0.000) | ----- | ||||
| WPA | -0.327 | -0.254 | 1 | ||
| (0.000) | (0.000) | ----- | |||
| GDPPC | -0.486 | -0.603 | 0.353 | 1 | |
| (0.000) | (0.000) | 0.000) | ----- | ||
| IMUN | -0.616 | -0.507 | 0.199 | 0.305 | 1 |
| (0.000) | (0.000) | (0.010) | (0.000) | ----- | |
Note: U5MR shows an under-5 mortality rate, FVE shows female vulnerable employment, WPA shows women’s political autonomy, GDPPC shows GDP per capita, and IMUN shows immunization rate. small bracket shows probability value.
Regression estimates.
| Variables | Cross-sectional regression | Robust least squares regression | Quantile regression estimates |
|---|---|---|---|
| Constant | 12.192 | 14.459 | 14.764 |
| Ln(FVE) | 0.206 | 0.164 | 0.249** |
| ln(WPA) | -0.771 | -0.721 | -0.918 |
| ln(GDPPC) | -0.451 | -0.450 | -0.372 |
| Ln(IMUN) | -0.647 | -1.173 | -1.264 |
|
| |||
| R2 | 0.793 | 0.723 | 0.583 |
| Adjusted R2 | 0.788 | 0.716 | 0.573 |
| Adjust Rw2 | ----- | 0.843 | ----- |
| Rn-2 | ----- | 647.133 | ----- |
| F-statistics | 154.383 | ----- | ----- |
| Quasi LR-statistic | ----- | ----- | 289.567 |
Note: U5MR shows an under-5 mortality rate, FVE shows female vulnerable employment, WPA shows women’s political autonomy, and GDPPC shows GDP per capita.
* shows 1% level of significance.
Diagnostic testing.
| Variables | Variance Inflation Factor (VIF) | Diagnostic Testing | Estimated value | Probability value |
|---|---|---|---|---|
| ln(FVE) | 2.790 | J.B. Test | 1.346a | 0.509 |
| ln(WPA) | 1.292 | LM (1) Test | 3.593a | 0.059 |
| ln(GDPPC) | 3.055 | Heteroskedasticity Test | 1.785a | 0.152 |
| ln(IMUN) | 1.193 | Ramsey RESET Test | 0.632a | 0.527 |
| Quantile slope equality by Wald Test | 8.028 | |||
| (0.430) | ||||
| Symmetric Quantiles by Wald Test | 4.010 | |||
| (0.547) | ||||
Note: J.B. shows Jarque Berra, LM shows Lagrange multiplier, FVE shows female vulnerable employment, WPA shows women’s political autonomy, GDPPC shows GDP per capita, and IMUN shows immunization coverage.a estimates excluding a variable. Small bracket shows probability value.
Fig 4CUSUM and CUSUM square test estimates.
Source: Author’s estimates.
Variance decomposition of U5MR.
| Years | S.E. | U5MR | FVE | WPA | GDPPC | IMUN |
|---|---|---|---|---|---|---|
| 2022 | 28.50917 | 100 | 0 | 0 | 0 | 0 |
| 2023 | 28.75270 | 99.44340 | 3.43E-06 | 0.000662 | 0.515463 | 0.040469 |
| 2024 | 28.93693 | 98.83483 | 0.206975 | 0.272168 | 0.640773 | 0.045254 |
| 2025 | 28.94889 | 98.79288 | 0.207062 | 0.296460 | 0.646339 | 0.057255 |
| 2026 | 28.95243 | 98.77678 | 0.212862 | 0.301204 | 0.651743 | 0.057409 |
| 2027 | 28.95317 | 98.77179 | 0.212946 | 0.302761 | 0.651878 | 0.060628 |
| 2028 | 28.95324 | 98.77150 | 0.212981 | 0.302767 | 0.652116 | 0.060632 |
| 2029 | 28.95329 | 98.77123 | 0.212991 | 0.302800 | 0.652213 | 0.060770 |
| 2030 | 28.95329 | 98.77121 | 0.212991 | 0.302806 | 0.652219 | 0.060777 |
| 2031 | 28.95329 | 98.77120 | 0.212991 | 0.302806 | 0.652226 | 0.060777 |
Note: U5MR shows an under-5 mortality rate, FVE shows female vulnerable employment, WPA shows women’s political autonomy, GDPPC shows GDP per capita, and IMUN shows immunization coverage.