Do Diversified Export, Agriculture, and Cleaner Energy Consumption Induce Atmospheric Pollution in Asia? Application of Method of Moments Quantile Regression

Sustainable development remains unattainable unless we move to reduce the negative impact of economic factors on environmental quality. It is noteworthy provide new evidence whether and how empirical association between export diversification, agricultural value-addition, renewable energy, regulatory quality with greenhouse gas (GHG) emissions evolved in Asian countries from 1996 2014. The study examines relationships these variables using current panel data techniques. econometric procedure includes second-generation cointegration unit root tests together a novel Method Movements Quantile Regression (MMQR). This approach offers an asymmetric relationship very robust outliers compared traditional quantile regression. outcomes show that are significantly negatively associated GHG emissions. In contrast, value-added Asia has become source increased Our findings also alternate specifications, including fully modified, dynamic fixed effect regressions. will help policymakers for diversifying their portfolio while ensuring sustainable environment Asia.