Please use this identifier to cite or link to this item: https://rfos.fon.bg.ac.rs/handle/123456789/3127
Title: Evaluating the Circular Economy Performance of European Countries: A DEA-Based Approach to Resource Management, Waste Reduction and Innovation
Authors: Gaćeša, Isidora 
Keywords: Circular Economy (CE);European Union (EU);Data Envelopment Analysis (DEA);sustainable development;resource management;efficiency
Issue Date: Aug-2025
Abstract: Due to the difficulties arising from the traditional model and the environmental limits of
ecosystems, a new economic model emerged, known as the Circular Economy (CE). Growing
population and consumption have made CE increasingly popular worldwide. It has become a
major foundation for promoting sustainable development and reducing the global
environmental footprint. As CE continues to expand, particularly among European Union
countries, it is important not only to consider how and to what extent these countries incorporate
CE into their policies, but also whether and how they achieve efficiency in terms of resource
management, waste reduction, and innovation. To address this, the study applies nonparametric
Data Envelopment Analysis (DEA) to evaluate the efficiency of 27 EU members based on 2022
data. Both CCR (CRS) and BCC (VRS) DEA models are used across two datasets — one
focusing on input aspects (material footprint, import dependencies, and greenhouse gas
emissions) and the other on output elements (innovation and recycling rates). The results
indicate that countries such as Estonia, Sweden, and the Netherlands are among the most
efficient, while Greece and Portugal are labeled inefficient due to high resource consumption
and low recycling performance. A linked DEA analysis was also conducted, offering deeper
insight into the relationship and potential impact of resource use on circular economy outcomes,
particularly in waste management, and confirming that the analyzed dimensions are interrelated
and constitute the CE framework. The use of two datasets enables a multidimensional
evaluation of best practices and helps identify potential areas where CE policies can be
improved.
URI: https://rfos.fon.bg.ac.rs/handle/123456789/3127
ISBN: 979-10-979570-0-1
Appears in Collections:Radovi istraživača / Researchers’ publications

Files in This Item:
File Description SizeFormat 
EISIC_2025.pdf877.22 kBAdobe PDFView/Open
Show full item record

Google ScholarTM

Check

Altmetric


This item is licensed under a Creative Commons License Creative Commons