Abstract: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… Show more
“…Additionally, a methodology was designed by Trica at al. that enables the evaluation of a circular economy model's sustainability by using Eurostat indicators and measures to verify the effect of environmental factors [61].…”
Section: Methodsmentioning
confidence: 99%
“…When we investigate a circular economy and economic growth, we can see that author Busu presents the economic factors that are at the basis of the development of a circular economy on the European Union level [60]. Trica et al [61] conducted research about the economic factors of the sustainable development of a circular economy based on the findings of economic literature in the field. Adamo et al investigated the relationship between recycling, GDP, and population [62].…”
Section: Analysis Of Circular Economy Indicators and Indicators Of Ecmentioning
The need has arisen to implement a circular economic model that enables economic growth and prosperity in accordance with environmental protection and sustainable development because of the current unsustainable linear means of production in the economy. The aim of this paper is to determine the application of the circular economy concept in member countries of the European Union from 2008 to 2016. The purpose is to analyse whether economic development measured by GDP (gross domestic product) affects the analysed circular economy variables. Based on the hypotheses set, an econometric model was formed where GDP was identified as an independent variable, while the dependent variables were the production of municipal waste per capita, the recycling rate of municipal waste, the recycling rate of packaging waste by type of packaging, the recycling of bio-waste, and the recycling rate of e-waste. The first part of the statistical analysis conducted using the Stata software package shows the Pearson correlation between the abovestated variables, while the second part explores the univariate regression model. The results point towards the conclusion that the application of the circular economy concept can ensure economic growth and GDP growth while reducing the use of natural resources and ensuring greater environmental protection.
“…Additionally, a methodology was designed by Trica at al. that enables the evaluation of a circular economy model's sustainability by using Eurostat indicators and measures to verify the effect of environmental factors [61].…”
Section: Methodsmentioning
confidence: 99%
“…When we investigate a circular economy and economic growth, we can see that author Busu presents the economic factors that are at the basis of the development of a circular economy on the European Union level [60]. Trica et al [61] conducted research about the economic factors of the sustainable development of a circular economy based on the findings of economic literature in the field. Adamo et al investigated the relationship between recycling, GDP, and population [62].…”
Section: Analysis Of Circular Economy Indicators and Indicators Of Ecmentioning
The need has arisen to implement a circular economic model that enables economic growth and prosperity in accordance with environmental protection and sustainable development because of the current unsustainable linear means of production in the economy. The aim of this paper is to determine the application of the circular economy concept in member countries of the European Union from 2008 to 2016. The purpose is to analyse whether economic development measured by GDP (gross domestic product) affects the analysed circular economy variables. Based on the hypotheses set, an econometric model was formed where GDP was identified as an independent variable, while the dependent variables were the production of municipal waste per capita, the recycling rate of municipal waste, the recycling rate of packaging waste by type of packaging, the recycling of bio-waste, and the recycling rate of e-waste. The first part of the statistical analysis conducted using the Stata software package shows the Pearson correlation between the abovestated variables, while the second part explores the univariate regression model. The results point towards the conclusion that the application of the circular economy concept can ensure economic growth and GDP growth while reducing the use of natural resources and ensuring greater environmental protection.
“…This exponential increase in the number of articles in the last period analyzed is largely due to the need for research alternatives that improve the current and future situation of the environment. For this reason, in the sample obtained, there are numerous publications that focus on researching the proper management of resources in an effort to work towards a CE model [93][94][95].…”
Section: Evolution Of Scientific Productionmentioning
The challenge of transitioning from a linear to a circular economy model is still ongoing and requires the development and application of new knowledge, leading to innovative, technological, and sustainable processes, products, and services. The evolution of global research on this topic from 2004 to 2019 was studied in this work. For this purpose, a bibliometric analysis of 1366 articles was applied, producing results on the scientific productivity of the driving agents that most contribute to this theme. The findings show a growing interest, especially in the last four years, in the study of circular economy (CE) policies on the environment. The main subject area that articles address is environmental science. Five research lines have been identified, which mainly study the efficient management of energy resources and the economic factors that make the CE model possible: Environmental pollution and agricultural activity; waste management to avoid a negative environmental impact; improvement of the environmental impact through ecological products; the product life cycle, and the consequences of climate change. The implementation of CE policies will contribute to making economies less dependent and unprotected and more competitive. Global research has exhibited an upward trend during the period analyzed and has grown exponentially since 2015, coinciding with the publication of the Sustainable Development Goals (SDGs) of the 2030 Agenda.
“…The present paper aimed at finding empirical evidence of the rebound mechanism related to circular measures. Since in the past several years CE has become a top priority of the EU [72,73], the research focused on the countries of the community. It conducted a statistical analysis using the material flow indicators of the EU and sought to find an answer for the following question: are the current European measures adequate to support policies for circular transitions?…”
The implementation practices of the circular economy (CE) put a strong emphasis on preventing material losses in economic processes. The general interpretation of the concept focuses on closing technological and biological cycles by reintegrating end-of-life products into production and consumption systems. Thus, “closed loops” have become a trademark of circular transition. However, this limited perception fails to cover the essence of the CE. Besides closure, the utility of material loops can be prolonged, and a conscious consumer attitude may even prevent the creation of unnecessary material flows. This paper aims at proving that the preference of closed loops would result in deadweight losses in the long run. The conducted analysis ranks EU member states according to the most anticipated material flow indicators. Then, the study presents a new methodology to measure circular efficiency based on the available ecological capacity of the countries. The outcomes show that the poorly performing actors are in fact not far from a sustainable operation. Meanwhile, the countries with the most efficient material flow values present the widest development gap to reach the ideal level of circularity.
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