Individuals who are likely to realize the largest benefits from improvements in air quality often depend on other members of their households to make time or monetary contributions to their care. The presence of these dependency relationships among household members poses challenges for benefit...

This paper introduces an advanced method that integrates contingent valuation and machine learning (CVML) to estimate residents’ demand for reducing or mitigating environmental pollutions and climate change. To be precise, CVML is an innovative hybrid machine-learning model, and it can...

While adverse health effects of ambient air pollution have been well documented, there is scarce evidence on the impact of household air pollution (HAP) on mental health. We investigated the causal link between HAP exposure from the use of solid fuel on depressive symptoms using a nationally...

While adverse health effects of ambient air pollution have been well documented, there is scarce evidence on the impact of household air pollution (HAP) on mental health. We investigated the causal link between HAP exposure from the use of solid fuel on depressive symptoms using a nationally...