School of Economics, Quaid-i-Azam University, Islamabad, Pakistan.
Faculty of Economics and Administrative Sciences, Cag University, 33800, Mersin, Turkey.
Environ Sci Pollut Res Int. 2020 Sep;27(25):31211-31220. doi: 10.1007/s11356-020-09240-y. Epub 2020 Jun 1.
The purpose of this study is to observe the effects of stock markets and exchange rate volatility on environmental pollution in Pakistan during the period 1985-2018. A nonlinear autoregressive distributed lag (ARDL) model is applied to get this objective. In general, the short-term results revealed that the positive and negative shocks in stock markets reducing the carbon emissions. In adverse, positive shocks in exchange rate volatility reduces the carbon emissions while negative shocks in exchange rate volatility have a positive significant effect on carbon emissions in Pakistan. Moreover, the positive and negative shocks in the stock market have a positive significant effect on Pakistan's carbon emissions but positive and negative shocks in exchange rate volatility negative influence on carbon emissions in the long run. The findings further show that positive and negative shocks of the stock markets and exchange rate volatility have the same effects in sign but different in magnitude in the long run. Based on these findings, some policy recommendations proposed in the context of Pakistan as well as for other developing countries.
本研究旨在观察 1985-2018 年期间,股票市场和汇率波动对巴基斯坦环境污染的影响。采用非线性自回归分布滞后(ARDL)模型来实现这一目标。总的来说,短期结果表明,股票市场的正向和负向冲击会减少碳排放。相反,汇率波动的正向冲击会减少碳排放,而汇率波动的负向冲击对巴基斯坦的碳排放有正向显著影响。此外,股票市场的正向和负向冲击对巴基斯坦的碳排放有正向显著影响,但汇率波动的正向和负向冲击对碳排放的长期影响为负。研究结果进一步表明,股票市场和汇率波动的正向和负向冲击在长期内具有相同的符号效应,但在幅度上有所不同。基于这些发现,本文在巴基斯坦以及其他发展中国家的背景下提出了一些政策建议。