The publication titled “Government Revenue and Child and Maternal Mortality” recommends increasing government revenue to improve access to maternal health. The study suggests that inadequate access to critical determinants of health, such as clean water, sanitation, education, and healthcare, contributes to maternal and child deaths. Insufficient government revenue for essential public services is identified as a key reason for poor access.
The study uses panel data from 191 countries and a two-way fixed-effect linear regression model to predict the potential reductions in child and maternal mortality rates that could result from increases in government revenue. The relationship between government revenue per capita and mortality rates is found to be highly non-linear, with the best form of non-linearity being a version of an inverse function.
The results of the study show that countries with small per-capita government revenues have a greater potential for reducing mortality rates. However, as per-capita revenue rises, the possible gains decline rapidly in a non-linear manner. For example, a 10% increase in per-capita government revenue in Afghanistan in 2002 is associated with a reduction in the under-5 mortality rate by 12.35 deaths per 1000 births and 13,094 lives saved. It is also associated with a decrease in the maternal mortality ratio of 9.3 deaths per 100,000 live births and 99 maternal deaths averted.
The study suggests that increasing government revenue can directly impact mortality rates, particularly in countries with low per-capita government revenues. The findings can be used for economic, social, and governance reporting by multinational companies, as well as for evidence-based policymaking and advocacy.
Source:
Publication: Open Economies Review, Volume 32, No. 1, Year 2021
AI Innovations Description
The recommendation proposed in the publication is to increase government revenue in order to improve access to maternal health. The study suggests that inadequate access to critical determinants of health, such as clean water, sanitation, education, and healthcare, contributes to maternal and child deaths. Insufficient government revenue for essential public services is identified as a key reason for poor access.
The study uses panel data from 191 countries and a two-way fixed-effect linear regression model to predict the potential reductions in child and maternal mortality rates that could result from increases in government revenue. The relationship between government revenue per capita and mortality rates is found to be highly non-linear, with the best form of non-linearity being a version of an inverse function.
The results of the study show that countries with small per-capita government revenues have a greater potential for reducing mortality rates. However, as per-capita revenue rises, the possible gains decline rapidly in a non-linear manner. For example, a 10% increase in per-capita government revenue in Afghanistan in 2002 is associated with a reduction in the under-5 mortality rate by 12.35 deaths per 1000 births and 13,094 lives saved. It is also associated with a decrease in the maternal mortality ratio of 9.3 deaths per 100,000 live births and 99 maternal deaths averted.
The study suggests that increasing government revenue can directly impact mortality rates, particularly in countries with low per-capita government revenues. The findings can be used for economic, social, and governance reporting by multinational companies, as well as for evidence-based policymaking and advocacy.
Source:
Publication: Open Economies Review, Volume 32, No. 1, Year 2021
AI Innovations Methodology
The methodology used in the study to simulate the impact of increasing government revenue on improving access to maternal health involves the following steps:
1. Data Collection: The study collects panel data from 191 countries, including information on government revenue per capita, maternal mortality rates, and child mortality rates. This data is essential for analyzing the relationship between government revenue and mortality rates.
2. Regression Analysis: The study employs a two-way fixed-effect linear regression model to analyze the relationship between government revenue per capita and mortality rates. This model allows for controlling the effects of other factors that may influence mortality rates, such as healthcare infrastructure, education, and sanitation.
3. Non-linear Relationship: The study finds that the relationship between government revenue per capita and mortality rates is highly non-linear. To capture this non-linearity, the study uses a version of an inverse function as the best form of non-linearity.
4. Predictions: Based on the regression analysis, the study predicts the potential reductions in child and maternal mortality rates that could result from increases in government revenue. The predictions are made for each of the 191 countries included in the dataset.
5. Results Presentation: The study presents the results of the predictions, showing the potential decrease in mortality rates and lives saved for each country if government revenue increases. For example, the study provides specific figures for Afghanistan, where a 10% increase in per-capita government revenue in 2002 is associated with a reduction in the under-5 mortality rate and the maternal mortality ratio, along with the number of lives saved and maternal deaths averted.
6. Policy Implications: The study suggests that increasing government revenue can directly impact mortality rates, particularly in countries with low per-capita government revenues. The findings can be used for evidence-based policymaking and advocacy, as well as for economic, social, and governance reporting by multinational companies.
Overall, the methodology combines regression analysis, non-linear modeling, and predictions to assess the potential impact of increasing government revenue on improving access to maternal health.
