Abstract: (181 Views)
Introduction: Health status, as one of the elements of human capital, plays a significant role in economic growth and development of all countries in the world. Based on this, financing this sector and evaluation of the efficiency of this financing and its effect on health status indicators is very important. This issue is more prominent in developing countries such as Iran, which have unfavorable economy, health status, and productivity. Accordingly, this study aims to investigate the long-run impact of public health expenditures on preventable mortality rate in the provinces of Iran during the period of 1388-1401.
Method: The statistical population used in this study is the 31 provinces of Iran, and the data related to them were collected from the Statistical Yearbooks of Statical Center of Iran. The method applied in this study is Autoregressive Distributed Lag panel data approach. Based on Hausman test, Pooled Mean Group method has been chosen as a more efficient estimation than Mean Group and Dynamic Fixed Effects.
Findings: According to the results, public health spending has a negative and significant effect on preventable mortality rate in the provinces of Iran. In addition, based on the long-run estimation, all variables of economic growth, unemployment rate of people over 25 years old, and physicians’ density have negative significant effects on preventable mortality rate. Also, the coefficient of the Error Correction Model is equal to -0.60 and it means the existence of long-run cointegration, and confirms that the model specification is appropriate.
Discussion: According to the results of the study, it is suggested thah policymakers adopt some policies to increase health sector budget in the provinces in order to reduce preventable mortality. Moreover, it is suggested that policy makers take actions to increase GDP and improve the income level. Also, it is better for the government to increase physicians’ density, especially in deprived areas, in order to reduce preventable mortality.
Method: The statistical population used in this study is the 31 provinces of Iran, and the data related to them were collected from the Statistical Yearbooks of Statical Center of Iran. The method applied in this study is Autoregressive Distributed Lag panel data approach. Based on Hausman test, Pooled Mean Group method has been chosen as a more efficient estimation than Mean Group and Dynamic Fixed Effects.
Findings: According to the results, public health spending has a negative and significant effect on preventable mortality rate in the provinces of Iran. In addition, based on the long-run estimation, all variables of economic growth, unemployment rate of people over 25 years old, and physicians’ density have negative significant effects on preventable mortality rate. Also, the coefficient of the Error Correction Model is equal to -0.60 and it means the existence of long-run cointegration, and confirms that the model specification is appropriate.
Discussion: According to the results of the study, it is suggested thah policymakers adopt some policies to increase health sector budget in the provinces in order to reduce preventable mortality. Moreover, it is suggested that policy makers take actions to increase GDP and improve the income level. Also, it is better for the government to increase physicians’ density, especially in deprived areas, in order to reduce preventable mortality.
Article number: 2
Type of Study: orginal |
Received: 2024/04/17 | Accepted: 2024/09/1 | Published: 2025/04/4
Received: 2024/04/17 | Accepted: 2024/09/1 | Published: 2025/04/4
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Social Welfare Quarterly
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