In this paper, we develop a methodology for studying the sustainability of the circular economy model, based on environmental indicators, and its impact on European Union (EU) economic growth. In open-end systems, waste is converted back to materials and objects through recycling; hence, a linear economy is transformed into a circular economy (CE). Environmental factors support the argument for the sustainable implementation of a circular economy. The main objective of this paper is to analyze the sustainability of the CE indicators and to elaborate a multilinear regression model with panel data for determining the dependency of the main CE factors on EU economic growth. Starting with the model of economic growth based on circular material use rate, recycling rate of municipal waste (RRMW), trade in recycling materials, labor productivity, environmental taxes, and resource productivity as independent variables, six statistical hypotheses were validated through a multiple regression model with the use of the statistical software EViews 11. The research study was conducted for 27 EU countries, and the data was collected from the European Union Statistical Office (EUROSTAT), during the time frame 2010 to 2017. Based on econometric modeling, the paper highlights that circular economy generates sustainable economic growth across the EU.

Based on the findings of the economic studies on the implications of industrialization in the case of growing economies, this study aims to present the economic factors that are at the basis of the development of circular economy at the European Union level. Starting with the model of economic growth based on the recycling rate of municipal waste, human capital, productivity of the resources, and green energy use, three statistical hypotheses were validated through a panel data model with the use of EViews 10 statistical software. The analysis was conducted for 27 European Union countries during the time frame 2008–2017. The paper highlights that the circular economy model is determined by resource productivity, labor employed in environmental protection, recycling rate of municipal waste, and renewable energy use.

In this paper, we develop a methodology for studying the sustainability of the circular economy model based on environmental factors. In open-end systems, waste is converted back to materials and objects through recycling; hence, a linear economy is transformed into a circular economy. Environmental factors support an argument for the sustainable implementation of a circular economy. As humans are producing and using more and more matter and energy for the economy, the environment and recycling become more and more important factors affecting public health. The aim of this study is to present the economic factors of the sustainable development of a circular economy, based on the findings of the economic literature in the field. Starting with the Mankiw–Romer–Weil model of economic growth based on resource productivity, environmental employment, recycling rate and environmental innovation, three statistical hypotheses were validated through a panel data model with the use of the statistical software EViews 9. An econometric analysis was performed for 27 European Union countries between 2007 and 2016. The results highlight that the extended Mankiw–Romer–Weil model is determined by resource productivity, environmental employment, recycling rate and environmental innovation. Investing in recycling infrastructure and innovative resources is essential for the econometric model presented in our analysis, which is in line with the aims of environmental protection and sustainable economic growth.

Energy is one of the most important drivers of economic growth, but as the population is increasing, in normal circumstances, in all countries of the world, there is a demand for energy produced from conventional resources. Increasing prices of conventional energy and the negative impact on the environment are two of the main reasons for switching to renewable energy sources (RESs). The aim of the paper is to quantify the impact of the RESs, by type, on the sustainable economic growth at the European Union (EU) level. The research was performed for all 28 EU member states, for a time frame from 2004 to 2017, through a panel autoregressive distributed lag (ARDL) approach and causality analysis. Furthermore, Hausman test was performed on the regression model. By estimating the panel data regression model with random effects, we reveal through our results that RESs, namely wind, solar, biomass, geothermal, and hydropower energy, have a positive influence on economic growth at EU level. Moreover, biomass has the highest impact on economic growth among all RES. In fact, a 1% increase in biomass primary production would impact the economic growth by 0.15%. Based on econometric analysis, our findings suggest that public policies at the EU level should be focused on investment in RESs.

The Solow-Swan macroeconomic model reveals the fact that the marginal capital rate of the bioenergy sector, as well as the bioenergy productivity and productivity of the resources variation, having positive values of their estimated coefficients, have the capacity of stimulating the sustainable economic development of an emerging country, such as Romania. The economic model substantiated by the correlations between the macroeconomic indicators evaluates the convergence in relation with the European Union (EU) average. The main objective of this paper is to analyze the impact of bioenergy on sustainable economic development. The econometric analysis revealed the fact that the bioenergy productivity, the productivity of the resources and the capital productivity of the bioenergy sector have a positive and statistically significant impact on the sustainable economic development. Data was collected from The European Statistical Office and analyzed with SPSS 22 statistical software package. Quantitative methods highlight the disparities between developed and developing countries of EU in terms of bioenergy use and efficiency.

In this paper we propose a methodology to study circular economy processes based on mathematical modelling. In open-ended systems, waste could be converted back to recycling, transforming the economy from linear to circular. The concept of entropy and the second law of thermodynamics give the argument for a scale reduction of material circulation. As humans extract more and more energy and matter for the economy, the degree of entropy is likely to increase. Based on the findings of economic studies on the implications of industrialization in the case of growing economies, this study aims at evaluating circular economy processes at the European Union (EU) level using a Shannon-Entropy-based algorithm. An entropy-based analysis was conducted for the 28 European Union countries during the time frame 2007–2016. The modelling process consists of constructing a composite indicator which is composed of a weighted sum of all indicators developed by an algorithm based on Shannon Entropy. The weights assigned to each indicator in our analysis measure the significance of each indicator involved in the development of the composite indicator. The results are similar to the international rakings, consolidating and confirming the accuracy and reliability of this approach.