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This article presents a comparative analysis of the determinants of hydropower for European economies using Golden Cut oriented Quantum Spherical fuzzy modelling and causality analysis in 24 European countries over the period 2001-2020. The indicators chosen for the analysis are inflation, population, GDP per capita, CO2 and hydropower consumption. The analysis shows that the selected groups of countries are characterised by an inverse relationship between GDP per capita and hydropower consumption, suggesting a bi-directional causal relationship, which also confirms the novelty of this paper. Furthermore, another analysis is carried out using the fuzzy decision-making methodology. In this framework, the directions of influence of the five selected indicators are constructed: GDP per capita (criterion 1, D = 88.656, E = 88.083), hydropower consumption (criterion 2, D = 89.471, E = 88.677), population (criterion 3, D = 87.705, E = 89.228), CO2 emissions (criterion 4, D = 88.578, E = 89.186) and inflation (criterion 5, D = 88.943, E = 88.180). The Quantum Spherical fuzzy methodology is used for this purpose. The values of D and E are measures of the sum of the rows and columns of the overall relationship matrix. Hydropower consumption is the main criterion. It is understood that two different analyses give similar results, namely the bidirectional causal relationship between criteria 1 and 2.

The purpose of this study is to identify the most significant issues to handle brain drains to provide sustainability in emerging economies. In this framework, a new model has been created that consists of two different stages for this situation. Firstly, necessary criteria are identified based on the key items of the balanced scorecard approach. These factors are weighted by using a bipolar q-rung orthopair fuzzy multi stepwise weight assessment ratio analysis (BOFQ M-SWARA) approach with golden ratio. Next, seven emerging economies are ranked with respect to their performance in decreasing brain drains by BOFQ, the elimination and choice of translating reality (ELECTRE) with the golden ratio. An evaluation is also carried out with intuitionistic fuzzy sets (IFSs) and Pythagorean fuzzy sets (PFSs) to test the validity of the findings. The results are similar for all different fuzzy sets, which indicates that the findings are quite coherent and reliable. The most important factor in reducing brain drain has been identified as technical competency. It would be appropriate for countries to provide tax exemptions for research and development studies. This situation can easily attract the attention of companies, as it will contribute to the reduction of costs. Thus, it will be easier to provide technological innovations in the country in the future. Thanks to technological development, it is possible to increase the productivity of enterprises in the country. In this way, the brain drain problem can be minimized as qualified personnel stay in the country. With the high number of qualified people in the country, it will be possible to produce eco-innovative products and develop clean energy technology. Due to this issue, sustainability can be provided in the economic development of emerging economies.

The current paper investigates the gasoline demand relationship in the case of Turkey, utilizing different econometric techniques and using quarterly data spanning from 2000Q1 to 2019Q1. The estimation results revealed that income and gasoline price are the main drivers of consumption. The found long-run income, price and auto stock elasticities are 0.25, −0.27 and −0.80, respectively. In addition, it is concluded that in the short-run, gasoline demand does not respond to changes in income, price and car stock. The estimation results also showed that the contribution of commercial and public car stock on gasoline demand is higher than that for private auto stock. Based on the finding of the study it is concluded that to achieve the optimal use of gasoline in line with providing high quality transport services, firstly, policies before the 2012 period can be followed. Secondly, channels such as pricing mechanism and taxation policies can be used in this framework.

This study aims to evaluate the positive impacts of renewable energy usage on the economic growth and financial development. For this purpose, an evaluation has been performed with VAR analysis. In the analysis process, annual data for the period between 1990 and 2015 is used. The findings show that renewable energy usage and financial development do not have a powerful influence on the economic growth. However, it is identified that renewable energy usage has a positive impact on the financial development. Hence, it is strongly recommended that renewable energy usage should be encouraged by policy makers in the country. Nonetheless, to understand the main indicators of economic growth, many different factors should be taken into consideration. It is seen that owing to the use of environmentally friendly energy, the size of the financial sector increases. It is obvious that environment-friendly energy usage attracts the attention of the financial investors. In this context, it would be appropriate to give some incentives to renewable energy investors. Within this framework, issues such as tax reduction, location support, and low interest loan opportunities will make renewable energy investments more reasonable.