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.

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.

Social influence has a positive impact on the purchase intention for eco-friendly products along with other subjective and objective aspects related to environmental attitude, product attitude, and subjective and objective knowledge. Also, exposure to media has been proven to have a significant positive affect on environmental attitude, with effect on the purchase intention. Several recent studies have shown the importance of consumers’ influence in online social networks, underlying the role played by the online environments over consumers’ attitude. As a result, the current research tries to analyze the influence exerted on consumers’ decision to purchase eco-friendly products by their activity in online social environments. Using a questionnaire, filled-in by 409 respondents, a series of variables have been extracted with regard to the eco-friendly products. An agent-based model has been created, fed with the values of the variables extracted from the questionnaire, and used for simulations. As a result, it has been observed that an increase in online media exposure can have a high positive impact on the eco-friendly product adoption. Depending on the type of product—soft or durable good—different times for the eco-friendly product adoption have been determined relatively to the considered variables. Last, the possible limitations of using an agent-based modeling approach are discussed, along with possible extensions and improvements.

Based on recent findings of the economic literature on the implications of entrepreneurial innovation for recycling municipal waste, this paper aims to examine the main factors of recycling municipal waste at the European Union (EU) level. In this study, the authors developed a linear regression model to analyze the relationship between business expenditure on research and development (R&D), private investments, gross domestic product (GDP) expenditures on R&D, resource productivity, and environmental taxes on the recycling rate of municipal waste (RRMW). In our analyses, we used data from the Statistical Office of the European Union (EUROSTAT) and five statistical hypotheses were validated through a multiple regression model with panel data using the statistical software EViews 11. The study was conducted in 27 European Union countries between 2010 and 2017. Our results indicate that business expenditure on R&D, private investments, GDP expenditures on R&D, and resource productivity have a direct and significant impact on the RRMW, while environmental taxes have a significant and inverse impact on the RRMW. These findings underline that public policies should be focused on increasing the use of private and public investments on R&D for recycling municipal waste.

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