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Our foray into causal analysis is not yet complete. Until we define the methods of causal inference, we can't get to the deeper insights that causal analysis.
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This paper aims to examine the asymmetric impact of oil price shocks on environmental degradation for a panel of six Gulf Cooperation Council (GCC) countries from 1996 to 2016. We use dynamic seemingly unrelated regressions (DSUR) approach that considers cross-sectional dependency to reveal the interrelations between oil price shocks and carbon dioxide (CO2) emissions. The finding shows that the positive shocks of oil prices have a statistically significant negative effect on CO2 emissions, while negative shocks of oil prices did not affect CO2 emissions. More specifically, the positive oil price shocks have negatively influenced the CO2 emissions in Oman, Bahrain, Saudi Arabia, Qatar, and United Emirates Arab. In turn, the most negative effect is found in Qatar and Saudi Arabia. Meanwhile, the negative shocks of oil prices have statistically significant effects on the CO2 emission of Oman and Saudi Arabia. While for other countries, it does not have a significant impact. Also, the res
Research proved the significance of forests in controlling carbon emission however, our research shed light on the management of existing forests to combat climate change. To examine the role of forestation and forest investment activities, dynamic spatial techniques are used for 30 provinces of China. The results suggest that forest investment and management not only reduce carbon locally but also in neighboring provinces. Furthermore, the findings of current study confirmed that forest investment are the most viable practices to control carbon emission in China instead of just increasing the forest area. Reforms regarding the management of forests would be a good policy for pollution reduction along with the employment generation side by side.