Using energy efficiently is crucial for economic development and sustainability. However, excessive use of fossil fuels impedes sustainable economic growth, and the released emissions have a negative impact on the environment. Still, there is no consensus in the literature as to the side effects or even regarding the determinants used to assess this relationship. As such, this article explores the effects that CO₂ (carbon dioxide) emissions and renewable energy consumption have on economic growth, using fixed assets, human capital, research and development, foreign direct investment, labor force, and international trade as controls, on a sample of 27 EU (European Union) countries between 1994 and 2019. Four different methodologies were applied to the sample, namely ordinary least squares, fixed effects, random effects, and the generalized method of moments in first differences, allowing endogeneity to be accounted for. Results show that gross fixed capital, human development, and trade contribute positively to economic growth; however, even though these contributions increase due to renewable energy consumption, that increase occurs at the expense of more CO₂ emissions. This expense may be justified by the high dependency on fossil fuels in the EU 27 group. Policy implications are presented for policymakers, namely governments, in light of sustainability and climate change.

As an integral part of financial inclusion, adequate and correct financial knowledge provides individuals with tools to achieve better financial performance throughout their lives. Financial knowledge also contributes to agents exhibiting financial behaviors. As there is consensus in the literature regarding the benefits of financial literacy, we decided to investigate the importance of several indicators that generally appear to explain this literacy in a set of twenty OECD countries, considering financial literacy, financial knowledge, and financial behavior. Using estimation through corrected heteroscedasticity, the results show that the completion of higher education contributes positively and significantly to financial literacy and financial knowledge and behaviors. Inequality in access to health and education, as well as the level of household debt, negatively impacts financial literacy and knowledge. Still, on the other hand, progression in human development contributes to progression in literacy and financial behavior. In terms of average income, it can be seen that it contributes to literacy and financial behavior, but surprisingly, public spending on education does not impact financial literacy.

Financial literacy plays a crucial role in shaping individual investment decisions by influencing susceptibility to behavioural biases such as heuristics, framing effects, cognitive illusions, and herding mentality. While most existing studies have examined financial literacy as a mediating factor, our study is among the first in the literature to analyse the role of behavioural biases as mediating factors in the relationship between financial literacy and investment decisions. Specifically, we investigate key biases, including overconfidence, herding, disposition effect, self-attribution, anchoring, availability, representativeness, and familiarity. Using purposive sampling, we collected 482 responses through a structured Likert scale questionnaire. The dataset underwent rigorous validation and reliability tests to ensure robustness. We employed Python-based statistical analysis and used Pearson’s correlation and mediation analysis to explore the relationships between financial literacy, behavioural biases, and investment decisions. With the help of these methods, we were able to uncover relationships and causal pathways which further our understanding of the role of behavioural biases in determining the impact of financial literacy on investment behaviour. The findings illustrate a notable positive correlation between investment decisions and financial literacy, implying that people with higher financial literacy levels possess greater and more rational financial decision-making capabilities. Other analyses have revealed that biases have a moderating effect on this relationship, showing another path through which financial literacy impacts behaviour at the level of the investor. By placing behavioural biases as mediating constructs, this research broadens the scope of investor psychology and the body of knowledge in behavioural finance, highlighting the need to change the approach to how financial literacy programs aimed at investors are structured and implemented.

Every year, news about the publication of rankings and scores of important international indexes are highlighted, with some of the most prestigious being the Global Competitiveness Index (GCI), the Human Development Index (HDI), the Ease of Doing Business (EDB), the Environmental Performance Index (EPI) and the Global Entrepreneurship (GEI). A country’s progression in these indices is associated with economic growth, especially since several empirical studies have found evidence to reinforce these beliefs, the indices having been built based on the scientific literature on economic growth. Building a database on these indices for European Union countries between 2007 and 2017 and using panel data methodologies and then 2SLS (Two-Stage Least Squares) to solve the problem of endogeneity, we verify empirically through panel data estimates, what is the relationship between the mentioned indices and the European Union countries’ economic growth for the period. However, as the European Union is made up of diverse countries with different economic and social realities, we divided the countries into six clusters and made an individual interpretation for each one. We found that human development and competitiveness play an important role in economic growth, and entrepreneurship also impacts this growth. Regarding income distribution, applying the Gini index, we found that only human development mitigates inequalities.

By considering a panel dataset between 1995 and 2019 including several countries in South America and methodologically using the fixed effect and GMM methods in first differences, the authors sought to empirically determine the relationship between traditional energy consumption, renewable energy consumption, and economic growth. The results show that the two main variables studied (fossil energy consumption and renewable energy consumption) are statistically significant and contribute to economic growth per capita in all nine South American countries studied. Furthermore, it should be noted that this significance persists in the four models discussed in this study, demonstrating a link between the positive economic impact of reducing traditional energy consumption and increasing renewable energy consumption in the South American countries studied. This article also contributes to the existing literature by highlighting the fundamental role of gross capital formation, labor force participation, and tertiary school enrollment in the economic growth of these countries. Two rather small effects on the aforementioned growth are the corruption perception index and domestic lending to the private sector by banks. This paper calls on policymakers to reconsider increasing energy production using renewable sources and to promote measures for its consumption.

This research aims to analyse the financial performance of companies using one of the most used profitability indicators, the return on investment (ROI), which measures the company’s performance in terms of the profit generated over time. To this end, several different methods are used to calculate the ROI indicator, considering the different calculation methods used by different authors over the years. The use of different ROI calculation formulas has been identified in the literature, leading to different conclusions. Based on a sample of 2805 Portuguese companies, it examines how the different indicators react to the different variables analysed, using nine different econometric models. Through this study, it is possible to verify that the different variables that depend on the return on investment have different results, namely that the variables “age” and “size” have a negative effect on the return on investment. On the other hand, “financial leverage” and “ROA” have a positive impact on the contribution to the return on investment. We also found that the different variables behave similarly for virtually all types of ROI calculation, although not completely harmonious, especially in terms of impact. The results are empirically vital, as they alert researchers and companies to the need for standardised formulas for calculating variables such as ROI so that results are not distorted. Using one to the detriment of the other impacts the results obtained and the analyses to be carried out. How empirical research will continue to use the ROI metric will always depend on its users’ discretion and free will.