| Title | Comprehensiveness of circular economy assessments of regions: a systematic review at the macro-level |
|---|---|
| ID_Doc | 3429 |
| Authors | Van Bueren, BJA; Iyer-Raniga, U; Leenders, MAAM; Argus, K |
| Title | Comprehensiveness of circular economy assessments of regions: a systematic review at the macro-level |
| Year | 2021 |
| Published | Environmental Research Letters, 16, 10 |
| Abstract | The circular economy (CE) is emerging as a solution for a thriving economy within regional and planetary boundaries for environment and social justice. CE is multifaceted with interconnected processes and therefore rather difficult to assess comprehensively. This paper reviewed the corpus of macro-level CE assessments, to find the best practices in CE assessments of regions scaling from neighborhoods to planetary. The extensive content analysis on the corpus of 165 studies used a novel mixed methods of meta-analysis, taxonomy and integrative review. This review investigates the comprehensiveness of CE assessments. Findings include three types of CE performance monitoring, four types of resource clustering, five scales, and a 5-step procedure to evaluate CE. CE can be monitored on: (a) absolute performance, quantifying economic resource-input, stock and waste-output; (b) efficiency performance, monitoring the optimization of CE processes similar to recycling, reuse, or even sharing and virtualizing; (c) policy performance to monitor strategies from regional stakeholders. Resource clustering can create hierarchies by metrics, uses, system-boundaries, or emergy. Identified scales are: XL for the planet; L for continents; M for large provinces, states and smaller countries; S for cities; and, XS for neighborhoods. Scales assist in comparing and benchmarking, but are also required for a proposed policy of localizing CE. This review found the ReSOLVE-framework as relatively comprehensive on CE processes. Also, multiple knowledge gaps were identified among resources, processes and regions. This review aids CE knowledge accumulation across regions and scales, to accelerate implementing the CE. |
| https://doi.org/10.1088/1748-9326/ac209c |
Similar Articles
| ID | Score | Article |
|---|---|---|
1972
|
Elia, V; Gnoni, MG; Tornese, F Measuring circular economy strategies through index methods: A critical analysis(2017) | |
| 1982
|
Parchomenko, A; Nelen, D; Gillabel, J; Rechberger, H Measuring the circular economy - A Multiple Correspondence Analysis of 63 metrics(2019) | |
| 318
|
Voukkali, I; Papamichael, I; Loizia, P; Lekkas, DF; Rodríguez-Espinosa, T; Navarro-Pedreño, J; Zorpas, AA Waste metrics in the framework of circular economy(2023)Waste Management & Research, 41, 12 | |
| 2711
|
Goyal, S; Chauhan, S; Mishra, P Circular economy research: A bibliometric analysis (2000-2019) and future research insights(2021) | |
| 23217
|
Shabanpour, H; Dargusch, P; Wadley, D; Saen, RF; Lieske, SN A breakthrough in macro-scale circularity and eco-efficiency assessment: A case study of OECD countries(2024) | |
| 3074
|
Harris, S; Martin, M; Diener, D Circularity for circularity's sake? Scoping review of assessment methods for environmental performance in the circular economy.(2021) | |
| 4379
|
De Pascale, A; Arbolino, R; Szopik-Depczynska, K; Limosani, M; Ioppolo, G A systematic review for measuring circular economy: The 61 indicators(2021) | |
| 1453
|
Frascareli, FCD; Furlan, M; Mariano, EB; Jugend, D A macro-level circular economy index: theoretical proposal and application in European Union countries(2024)Environment Development And Sustainability, 26, 7 | |
| 1138
|
Saidani, M; Yannou, B; Leroy, Y; Cluzel, F; Kendall, A A taxonomy of circular economy indicators(2019) | |
| 16344
|
Schilkowski, C; Shukla, M; Choudhary, S Quantifying the circularity of regional industrial waste across multi-channel enterprises(2020)Annals Of Operations Research, 290, 1-2 |