<p>This study investigates the determinants of life expectancy in Ghana, focusing on the effects of economic growth, environmental pollution, urbanization, and renewable energy consumption. The research employs a novel Quantile-on-Quantile (QQ) regression approach to capture the non-linear relationships and varying impacts across life expectancy levels. This method allows for a more detailed analysis of how these factors affect life expectancy across different population segments. The results show that GDP growth positively impacts life expectancy, especially in higher quantiles with more pronounced economic benefits. In contrast, CO<sub>2</sub> emissions have a negative impact, particularly in lower quantiles, highlighting the vulnerability of certain population groups to environmental degradation. Urbanization presents mixed effects, with positive impacts in some cases and harmful in others, reflecting the complex challenges of rapid urban growth. Renewable energy consumption consistently improves life expectancy, underscoring the importance of sustainable energy policies. The study concludes that targeted policies promoting inclusive economic growth, stronger environmental regulations, improved urban infrastructure, and expanded renewable energy use are essential for enhancing life expectancy in Ghana. These findings provide crucial insights for policymakers aiming to bridge the gap between economic development and public health.</p>

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The asymmetric relationship between pollution, economic growth, urbanization, renewable energy consumption, and life expectancy in Ghana: a novel Quantile-on-Quantile analysis

  • Wanli Zhang,
  • Michael Provide Fumey,
  • Festus Victor Bekun,
  • Frank Agyemang Karikari,
  • Samuel Duku Yeboah,
  • Gifty Takyiwaa Aboagye,
  • Evans Yeboah

摘要

This study investigates the determinants of life expectancy in Ghana, focusing on the effects of economic growth, environmental pollution, urbanization, and renewable energy consumption. The research employs a novel Quantile-on-Quantile (QQ) regression approach to capture the non-linear relationships and varying impacts across life expectancy levels. This method allows for a more detailed analysis of how these factors affect life expectancy across different population segments. The results show that GDP growth positively impacts life expectancy, especially in higher quantiles with more pronounced economic benefits. In contrast, CO2 emissions have a negative impact, particularly in lower quantiles, highlighting the vulnerability of certain population groups to environmental degradation. Urbanization presents mixed effects, with positive impacts in some cases and harmful in others, reflecting the complex challenges of rapid urban growth. Renewable energy consumption consistently improves life expectancy, underscoring the importance of sustainable energy policies. The study concludes that targeted policies promoting inclusive economic growth, stronger environmental regulations, improved urban infrastructure, and expanded renewable energy use are essential for enhancing life expectancy in Ghana. These findings provide crucial insights for policymakers aiming to bridge the gap between economic development and public health.