Aging and carbon emissions in Asian economies: Policy recommendation from panel quantile regression

Abstract

Climate change due to global greenhouse gas emissions poses a severe threat, and energy sectors contribute about two‐thirds of the emissions. However, energy plays an important role in the well‐being of the aging population, which is increasing in Asian countries. Therefore, this study aims to discern how the male and female populations of different age groups affect carbon emissions in Asian economies. The findings from the panel quantile regression reveal that economic growth escalates emissions across all quantiles along with energy use. The female population in the 0–14 years age group reduces emissions at all quantiles, while the male population of the same age group enhances the emissions. However, the male and female population between 15 and 64 years increases carbon emissions across all Asian economies. Furthermore, the male population above 65 years is responsible for low emissions, while the female counterparts are responsible for high emissions. Finally, we offer a set of policy recommendations based on our findings. For instance, there is a need to educate the male population between 0 and 14 years on environmental degradation to encourage an environment‐friendly lifestyle. Also, policies should aim to persuade the 15–64 age group to use renewables, which can help mitigate CO2 emissions.