This article examines the influence of renewable energy consumption, real GDP per capita, exports and imports on consumption-based CO₂ emissions in Azerbaijan from 1993 to 2019 by employing the Dynamic Ordinary Least Squares Method (DOLS). The results reveal that renewable energy consumption has a negative impact on CO₂ emissions, while real GDP per capita has a positive effect. According to the findings, a 1% increase in renewable energy consumption leads to a 0.26% decrease in consumption-based CO₂ emissions, while a 1% rise in real GDP per capita leads to a 0.46% rise in consumption-based CO₂ emissions. In addition, imports and exports show positive and negative effects respectively. Numerically, a 1% rise in imports results in a 0.18% rise in CO₂ emissions, whereas a 1% increase in exports reduces CO₂ emissions by 0.16%. This is consistent with expectations and theoretical outcomes described in the functional specification and data section. The negative influence of renewable energy consumption, as well as the larger effect of imports, emphasize the necessity of implementing ecologically friendly measures in both energy sectors (particularly, the need to increase the share of renewable energy in total energy use) and international trade.

Undoubtedly, oil prices play a crucial role in the macroeconomic performances of oil-exporting developing countries. In this regard, the exchange rate is one of the key macroeconomic indicators worthy of investigation. Existing literature shows that world oil prices play an important role in the appreciation of the exchange rates of oil-exporting developing countries. However, only a few studies have examined this issue by considering all three oil-exporting countries of the Commonwealth Independent States, namely Azerbaijan, Kazakhstan and Russia, together. In order to fill this gap and given the increasing importance of these economies in the world’s energy markets, this paper examines the role of oil prices in the movement of real effective exchange rates of the above-mentioned CIS countries. We applied the autoregressive distributed lag bounds testing method with a small sample bias correction to the data of these countries over the 2004Q1–2013Q4 period. The estimation results indicate that oil prices are certainly a main driver behind real effective exchange rate appreciation in the selected economies. Moreover, estimations show that productivity, to some extent, can also lead to the appreciation. The policy implication of this research is that an appreciation of the real exchange rate is harmful for the exports of non-oil goods and services in these countries. Since oil prices lead to the appreciation mainly through higher domestic prices, which is a result of tremendous public spending, decision-makers should reconsider the prevailing fiscal policy to make it much more counter-cyclical.

Market efficiency has been analyzed through many studies using different linear methods. However, studies on financial econometrics reveal that financial time series exhibit nonlinear patterns because of various reasons. This paper examines market efficiency at Borsa Istanbul using a smooth transition autoregressive (STAR) type nonlinear model. I develop nonlinear ARCH and STAR models, a linear AR model and random walk model for 10 years’ weekly data and then out-of-sample forecast next 12 weeks’ return. Comparing forecast performance powers, I find that the STAR model outperforms random walk, that is Borsa Istanbul returns are predictable at the given period. The results show that the shareholders may earn abnormal return and identify the direction of the return change for the next week with at least 66% accuracy. Contrary to the linear level studies, these findings show that the Borsa Istanbul is not weak form efficient at nonlinear level within the studied period.

Journal of Sustainable Development Issues (JSDI) - An interdisciplinary, double-blind peer-reviewed journal focusing on Environment, Economics, and Society. Explore the latest research and developments in theoretical and practical aspects of sustainable development.