Scholarlink

<p>In this study, we examined the dynamic long-term relationship between human capital and poverty. We used years of schooling and life expectancy to calculate the human capital composite index. Analyzing panel data from 417 districts for the 2019 − 2023 period, we estimated a PMG-ARDL model suitable for large N and small T. Our PMG(1,1) estimation results indicate co-integration between poverty rates and the human capital index (HCI). The long-term effect of human capital on poverty is statistically negative. This finding aligns with recent studies suggesting that human capital, represented by education and health in this research, plays a significant role in long-term poverty reduction in Indonesia. However, short-term fluctuations in human capital have an insignificant immediate impact on poverty. The error correction term coefficient is significantly negative and less than one, indicating that the deviation of the human capital-poverty relationship from its long-term equilibrium lasts for a relatively short duration. The equilibrium relationship reverts to its long-term trajectory approximately every one year and five months. Therefore, consistent long-term policies should prioritize enhancing human capital by ensuring equal access to quality education and healthcare across Indonesia to facilitate ongoing poverty reduction. This approach emphasizes the development of policies, resource allocation, and the effective execution of initiatives to benefit disadvantaged populations. Long-term processes should remain stable and not be disrupted by frequent national education and healthcare policy changes.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

The Dynamic Nexus between Human Capital and Poverty in Indonesia: Evidence from a Panel PMG-ARDL Approach

  • 期刊论文

  • 发表日期：

    2025年7月22日

查看全文
  • B. S. Nazamuddin,
  • Putri Bintusy Syathi,
  • Riswandi Riswandi,
  • Fitriyani Fitriyani,
  • Akbar Eka Prayoga

摘要

In this study, we examined the dynamic long-term relationship between human capital and poverty. We used years of schooling and life expectancy to calculate the human capital composite index. Analyzing panel data from 417 districts for the 2019 − 2023 period, we estimated a PMG-ARDL model suitable for large N and small T. Our PMG(1,1) estimation results indicate co-integration between poverty rates and the human capital index (HCI). The long-term effect of human capital on poverty is statistically negative. This finding aligns with recent studies suggesting that human capital, represented by education and health in this research, plays a significant role in long-term poverty reduction in Indonesia. However, short-term fluctuations in human capital have an insignificant immediate impact on poverty. The error correction term coefficient is significantly negative and less than one, indicating that the deviation of the human capital-poverty relationship from its long-term equilibrium lasts for a relatively short duration. The equilibrium relationship reverts to its long-term trajectory approximately every one year and five months. Therefore, consistent long-term policies should prioritize enhancing human capital by ensuring equal access to quality education and healthcare across Indonesia to facilitate ongoing poverty reduction. This approach emphasizes the development of policies, resource allocation, and the effective execution of initiatives to benefit disadvantaged populations. Long-term processes should remain stable and not be disrupted by frequent national education and healthcare policy changes.