Statistical Evaluation of the Level of Development of Circular Economy in European Union Member Countries

Fura, Barbara; Stec, Małgorzata; Miś, Teresa

doi:10.3390/en13236401

Cited by 28 publications

(18 citation statements)

References 43 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…At the same time, countries such as Spain and France, demonstrate a decrease in the efficiency of the circular economy, which is consistent with the conclusions of Reference [43], obtained using the DEA methodology. Our results for Malta, Cyprus, and Estonia (the least advanced in the CE) also agree well with the findings of Reference [19], which were obtained for all circular economy indicators used in European statistics.…”

Section: Discussionsupporting

confidence: 91%

“…Shpak et al [18] proved that the level of waste recycling has a significant impact on the trade of recyclable raw materials in the EU. The article by Fura et al [19] used a synthetic criterion for the study of CE promotion in the EU in each selected area of CE Eurostat, i.e., production and consumption, waste management, secondary raw materials, and competitiveness and innovation. To assess the correlation between the estimates obtained at the two most extreme points of the analysis period, we applied a similarity measure (2010,2016).…”

Section: Literature Reviewmentioning

confidence: 99%

See 1 more Smart Citation

Clustering of EU Countries by the Level of Circular Economy: An Object-Oriented Approach

et al. 2021

View full text Add to dashboard Cite

In order to effectively regulate the circular economy (CE) at the national and international levels, it is essential to have a unified and informative system of indicators for monitoring the progress in the CE. The lack of standard indicators for measuring the progress of cyclicality leads to contradictions and misunderstandings, which is a problem for the implementation of CE strategies. This paper aims to adapt dynamic clustering approaches to solving strategic management problems of circular production and consumption processes. To achieve this goal, the authors performed the following tasks: (1) tested clustering algorithms by ranking EU countries by the level of development of the circular economy; (2) identified the approach that allows the best classification of EU countries, considering changes in the indicators of the level of CE development in 2000–2019 (dynamic classification); (3) developed a software module using python libraries to classify and visualize the results. The results illustrate that the k-means algorithm has a good discriminatory ability in division of all countries of the training sample (EU countries) into several clusters with different dynamics in the development of the CE. The best quality of classification is obtained by the indicator “Generation of municipal waste per capita”; satisfactory quality of the classification is obtained by the indicator “Generation of waste excluding major mineral wastes per GDP unit”. The study results demonstrate the fundamental applicability of the object-oriented and classical statistical approach to solving strategic management problems of the CE and their potential effectiveness in terms of the clarity and information content of reflecting cyclical processes.

show abstract

Section: Discussionsupporting

confidence: 91%

Section: Literature Reviewmentioning

confidence: 99%

Clustering of EU Countries by the Level of Circular Economy: An Object-Oriented Approach

et al. 2021

View full text Add to dashboard Cite

show abstract

“…This is due to the fact that most case studies do not use o cial EU statistics or simply do not examine all the 28 or 27 Member States. For rankings generated from composite indicators, a comparison can be made with the study by Garcia-Bernabeu et al (2020) and Fura, Stec, Mis (2020). Although the latter are di erent in terms of the method, they arrived at similar results and conclusions as those described here by the present authors.…”

Section: Data and Variablessupporting

confidence: 74%

The indicator-based measurement of the circular economy in the countries of the European Union

Kozma

Molnár

Barna

2022

TéT

View full text Add to dashboard Cite

The circular economy is an integral part of sustainable development as a new economic model, which is the opposite of the linear economy that is still in force today. In terms of its basics, we can speak of a sustainable economic system in which economic growth is completely decoupled from the use of resources, in order to reduce the use of natural resources and recycle them. In the study, the authors present the possibility of measuring the circular economy and establish a ranking for the 28 Member States of the European Union based on the created composite indicators measuring the circular economy. The values of the created CCEI index were compared with rankings produced by other researchers in similar and different ways. The goodness of the presented methodology is examined by comparing previous similar research results. The primary objective of the study is to create composite indicators and to analyse their comparability. Further aim is to characterise the leading and the tail-ender countries from which conclusions can be drawn regarding ranking and thus make them comparable. The research objective is achieved by using secondary data based on different Eurostat databases related to a sub-sector of the circular economy for the year 2018. The indicators of the circular economy were grouped according to four areas: production and consumption, waste management secondary raw materials, competitiveness and innovation. These areas are adequately show the topics related to the circular economy. In terms of its structure, the international literature related to the circular economy is reviewed first, followed by the EU strategy and a set of relevant indicators. In the methodological chapter, the methodology of the analysis, the scale coordinate transformation is explained. The research results are compared with the rankings created by other authors and the authors of this study. In this study, the comparison is made from composite indicators using rank correlation, followed by the conclusions. The research findings of the study highlighted the fact that composite indicators can be created in relation to the circular economy, however, creating and comparing them is not an easy task. The ranking on which the comparison is based shows a very high degree of similarity with the selected rankings. Overall and typically, the leading States, such as Germany, the United Kingdom, the Netherlands and Italy are almost without exception in the top of the rankings in most cases, while the group of tail-enders is led by Malta and Estonia. Based on the results of the macro-level studies, the authors established a kind of competitiveness ranking.

show abstract

“…We used the k-means method. Unlike in the recent studies of Fura et al [70] and Gomonov et al [71], which were also carried out by cluster analysis, the purpose of this study was not to rank countries by the level of CE development (in general or in some particular aspects), but rather to identify the groups of countries with a similar system of institutional support.…”

Section: Methods and Datamentioning

confidence: 99%

Barriers and Drivers for Circular Economy 2.0 on the Firm Level: Russian Case

et al. 2021

View full text Add to dashboard Cite

Historically, the development of the circular economy (CE) proceeds from the CE 1.0 stage, characterized by attention to waste management and recycling, to the CE 2.0 stage with an emphasis on resource efficiency and eco-efficiency, to the current CE 3.0 stage, in which the key factor to a company’s success is the business model. However, not all countries of the world simultaneously began transforming the national economy from a linear model to a circular one; many are still at the CE 1.0 and CE 2.0 stages, and do not have a developed system of institutions supporting the circular economy. In Russia, the concept of a circular economy has not yet received recognition in society and government; the stage of its development can be defined as CE 2.0. This study compares the barriers and drivers of CE development in the EU countries, a group of countries with a well-developed institutional support system, and in Russia, a country that does not have such a system. The study reveals that the most significant difference between countries with mature systems of institutional support and Russia lies in the regulatory sphere and in information and awareness about new available technologies and ways to increase resource efficiency, commercial attractiveness, and organizational feasibility. Changes in the first sphere are impossible without the participation of the national authorities; however, changes in the information sphere are feasible even without the government’s support. The actors in such changes can be international companies with access to resource-efficient new technologies and processes for organizing business.

show abstract

Statistical Evaluation of the Level of Development of Circular Economy in European Union Member Countries

Cited by 28 publications

References 43 publications

Clustering of EU Countries by the Level of Circular Economy: An Object-Oriented Approach

Clustering of EU Countries by the Level of Circular Economy: An Object-Oriented Approach

The indicator-based measurement of the circular economy in the countries of the European Union

Barriers and Drivers for Circular Economy 2.0 on the Firm Level: Russian Case

Contact Info

Product

Resources

About