Examining the asymmetric effects of stock markets on Malaysia’s air pollution: a nonlinear ARDL approach

Abstract

The objective of this research is to examine the effects of stock market on air pollution in Malaysia during the period 1980–2017. To realize this aim, a nonlinear autoregressive distributed lag (ARDL) model is constructed. The short results in general revealed that the increase in stock markets will increase CO2 emissions and its significance increases in the long run. Moreover, the decline in stock market will reduce Malaysia’s CO2 emissions but only in the long run. From the outcomes obtained, a number of policy recommendations were provided for the investigated country.