Abstract:Energy is crucial to economic progress, but the contemporary worldwide population increase that demands greater energy generated from conventional exhaustible resources, an energy price upsurge, and environmental concerns, imperils sustainable economic growth. Nevertheless, switching to renewable energy produced from naturally replenished resources promotes energy security, likewise addressing issues such as global warming and climate change. This paper aims at exploring the influence and causal relation between renewable energy, both overall and by type, and sustainable economic growth of European Union (EU)-28 countries for the period of 2003-2014. We notice that the mean share of renewable energy in the gross final energy consumption is 15%, while the mean share of renewable energy in transport fuel consumption is 3%, which are below the thresholds of 20% and 10%, respectively, as set by the EU Directive 2009/28/EC. By estimating panel data fixed-effects regression models, the results provide support for a positive influence of renewable energy overall, as well as by type, namely biomass, hydropower, geothermal energy, wind power, and solar energy on gross domestic product per capita. However, biomass energy shows the highest influence on economic growth among the rest of renewable energy types. In fact, a 1% increase of the primary production of solid biofuels increases GDP per capita by 0.16%. Besides, cointegrating regressions set on panel fully modified and dynamic ordinary least squares regressions confirm the positive influence related to the primary production of renewable energies on economic growth. A 1% increase in primary production of renewable energies increases GDP per capita by 0.05%-0.06%. However, the results of Granger causality based on panel vector error correction model indicate both in short-run and long-run a unidirectional causal relationship running from sustainable economic growth to the primary production of renewable energies, being supported the conservation hypothesis.

This paper analyzes the evolution of the main theories regarding the capital structure and the related impact on risk and corporate performance. The capital structure is a dynamic process that changes over time, depending on the variables that influence the overall evolution of the economy, a particular sector, or a company. It may also change depending on the company's forecasts of its expected profitability, capital structure being, in fact, a risk-return compromise. This study contributes to the literature by investigating the drivers of capital structure of the firms from the Romanian market. For the econometric analysis, we applied multivariate fixed-effects regressions, as well as dynamic panel-data estimations (two-step system generalized method of moments, GMM) on a panel comprising the companies listed on the Bucharest Stock Exchange. The analyzed period, 2000-2016, covers a cycle with significant changes in the Romanian economy. Our results showed that leverage is positively correlated with the size of the company and the share price volatility. On the other hand, the debt structure has a different impact on corporate performance, whether this calculated on accounting measures or seen as market share price evolution.

This study examines the Environmental Kuznets Curve hypothesis (EKC), considering the primary energy consumption among other country-specific variables, for a panel of the EU-28 countries during the period 1990–2014. By estimating pooled OLS regressions with Driscoll-Kraay standard errors in order to account for cross-sectional dependence, the results confirm the EKC hypothesis in the case of emissions of sulfur oxides and emissions of non-methane volatile organic compounds. In addition to pooled estimations, the output of fixed-effects regressions with Driscoll-Kraay standard errors support the EKC hypothesis for greenhouse gas emissions, greenhouse gas emissions intensity of energy consumption, emissions of nitrogen oxides, emissions of non-methane volatile organic compounds and emissions of ammonia. Additionally, the empirical findings from panel vector error correction model reveal a short-run unidirectional causality from GDP per capita growth to greenhouse gas emissions, as well as a bidirectional causal link between primary energy consumption and greenhouse gas emissions. Furthermore, since there occurred no causal link between economic growth and primary energy consumption, the neo-classical view was confirmed, namely the neutrality hypothesis.

This study aims at empirically investigating the drivers of sustainable economic growth in EU-28 countries. By means of panel data regression models, in the form of fixed and random effects models, alongside system generalized method of moments, we examine several drivers of real gross domestic product (GDP) growth rate, as follows: higher education, business environment, infrastructure, technology, communications, and media, population lifestyle, and demographic changes. As regards higher education, the empirical results show that expenditure per student in higher education and traditional 18-22 year-old students are positively linked with sustainable economic growth, whereas science and technology graduates negatively influence real GDP growth. In terms of business environment, total expenditure on research and development and employment rates of recent graduates contributes to sustainable development, but corruption perceptions index revealed a negative association with economic growth. As well, the results provide support for a negative influence of infrastructure abreast technological measures on economic growth. Besides, we found a negative connection between old-age dependency ratio and sustainable economic growth.

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