Dynamic factors driving PM2.5 concentrations: Fresh evidence at the global level

Area of Science:

• Environmental Science
• Economics
• Public Policy

Background:

• Air pollution, specifically PM2.5, poses significant global health risks.
• Understanding the complex interplay between socio-economic factors and air quality is crucial for effective environmental policy.

Purpose of the Study:

• To analyze the dynamic impact of economic, social, and governance variables on PM2.5 concentrations across 89 countries.
• To investigate the time-varying effects of specific shocks on air pollution levels over a 10-year period.

Main Methods:

• Generalized Method of Moments with Panel Vector Autoregression (GMM-PVAR).
• Impulse-Response Functions (IRFs) to trace the effects of shocks.
• Granger causality tests to inform policy recommendations.

Main Results:

• The influence of urbanization on PM2.5 exhibits a dynamic pattern: initial no effect, followed by increases, decreases, and eventual stabilization.
• Shocks in financial development, government effectiveness, industrialization, trade openness, and GDP show varied impacts on PM2.5 over time, including initial decreases and subsequent increases.
• The study highlights that the impact of these factors on PM2.5 concentrations is not static and evolves over the evaluation period.

Conclusions:

• Environmental policy effectiveness is contingent on the time horizon considered for assessing the impact of economic, social, and governance factors on PM2.5.
• Dynamic analysis is essential for developing targeted and effective air quality management strategies.
• Policy recommendations should be informed by the time-dependent nature of these relationships.