Development of the Waste Management Composite Index Using DEA Method as Circular Economy Indicator: The Case of European Union Countries

被引:24
作者
Milanovic, Tijana [1 ]
Savic, Gordana [2 ]
Martic, Milan [2 ]
Milanovic, Maja [3 ]
Petrovic, Natasa [2 ]
机构
[1] Belgrade Acad Business & Art Vocat Studies, Belgrade, Serbia
[2] Univ Belgrade, Fac Org Sci, Belgrade, Serbia
[3] Univ Valencia, Fac Philol Translat & Commun, Valencia, Spain
来源
POLISH JOURNAL OF ENVIRONMENTAL STUDIES | 2022年 / 31卷 / 01期
关键词
circular economy; waste management; DEA method; composite index; DATA ENVELOPMENT ANALYSIS; ENERGY USE; EFFICIENCY; PERFORMANCE; EMISSIONS; SYSTEMS;
D O I
10.15244/pjoes/139896
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
This paper aims to develop a Waste Management Composite Index (WMCI) as a Circular Economy (CE) indicator by using a DEA-based model. This approach will enable making a mutual comparison, i.e. comparative analysis of the countries CE performances. Even though many countries have already accomplished a great deal in terms of the CE, there are still numerous of those that have not progressed much, finding themselves at the very beginning of the process. For that matter, the development of the indicators would help monitor changes during the transition process and while shifting to the CE model. In this paper, a tailor-made DEA model is created to fit a two-layer composite index WMCI comprising of eight relevant sub-indicators. The model is applied for the comparison of the 26 European Union (EU) countries. The obtained results could help maintain the countries informed about their position on the ranking list, alongside the level of their implementation of the CE with guidelines and recommendations for possible future development in this area.
引用
收藏
页码:771 / 784
页数:14
相关论文
共 64 条
  • [51] Restricting virtual weights in data envelopment analysis
    Sarrico, CS
    Dyson, RG
    [J]. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2004, 159 (01) : 17 - 34
  • [52] Savic G., 2017, EMERGING TRENDS DEV, P98, DOI [10.4018/978-1-5225-0714-7.ch005, DOI 10.4018/978-1-5225-0714-7.CH005]
  • [53] Data Envelopment Analysis for Composite Indicators: A Multiple Layer Model
    Shen, Yongjun
    Hermans, Elke
    Brijs, Tom
    Wets, Geert
    [J]. SOCIAL INDICATORS RESEARCH, 2013, 114 (02) : 739 - 756
  • [54] Assessment of Greenhouse Gas Emissions in Winter Wheat Farms Using Data Envelopment Analysis Approach
    Syp, Alina
    Faber, Antoni
    Borzecka-Walker, Magdalena
    Osuch, Dariusz
    [J]. POLISH JOURNAL OF ENVIRONMENTAL STUDIES, 2015, 24 (05): : 2197 - 2203
  • [55] Exploratory Data Analysis and Data Envelopment Analysis of Construction and Demolition Waste Management in the European Economic Area
    Taboada, Guillermo L.
    Seruca, Isabel
    Sousa, Cristina
    Pereira, Angeles
    [J]. SUSTAINABILITY, 2020, 12 (12)
  • [56] Input-Output Analysis for Sustainability by Using DEA Method: A Comparison Study between European and Asian Countries
    Tsai, Wen-Hsien
    Lee, Hsiu-Li
    Yang, Chih-Hao
    Huang, Chung-Chen
    [J]. SUSTAINABILITY, 2016, 8 (12):
  • [57] UNEP UNITED NATIONS ENVIRONMENT PROGRAMME, BELG ITS WAY CIRC EC
  • [58] The Energy & Raw Materials Factory: Role and Potential Contribution to the Circular Economy of the Netherlands
    van Leeuwen, Kees
    de Vries, Eli
    Koop, Stef
    Roest, Kees
    [J]. ENVIRONMENTAL MANAGEMENT, 2018, 61 (05) : 786 - 795
  • [59] The need for better measurement and employee engagement to advance a circular economy: Lessons from Biogen's "zero waste" journey
    Veleva, Vesela
    Bodkin, Gavin
    Todorov, Svetlana
    [J]. JOURNAL OF CLEANER PRODUCTION, 2017, 154 : 517 - 529
  • [60] Non-compensability in Composite Indicators: A Robust Directional Frontier Method
    Vidoli, Francesco
    Fusco, Elisa
    Mazziotta, Claudio
    [J]. SOCIAL INDICATORS RESEARCH, 2015, 122 (03) : 635 - 652