| Title | Leveraging Circular Economy Metrics for Data-Driven Forecasting of Solid Waste Production in Europe |
|---|---|
| ID_Doc | 2075 |
| Authors | Chen, CC; Chang, YS |
| Title | Leveraging Circular Economy Metrics for Data-Driven Forecasting of Solid Waste Production in Europe |
| Year | 2024 |
| Published | Sustainability, 16, 3 |
| Abstract | This study integrates circular economy (CE) metrics with machine learning techniques, specifically XGBoost and Shapley additive explanations (SHAP), to forecast municipal solid waste (MSW) in the EU, analyzing data from 2010 to 2020. It examines key economic and consumption indicators, including GDP per capita and energy consumption, along with CE metrics such as resource productivity, the municipal waste recycling rate, and the circular material use rate. The model demonstrates high predictive accuracy, with an R2 of 99% for in-sample data and 75% for out-of-sample data. The results indicate a significant correlation between a higher GDP per capita and an increased gross municipal waste per capita (GMWp). Conversely, lower energy consumption is associated with reduced GMWp. Notably, the circular material use rate emerges as a crucial factor for sustainability, with increased use significantly decreasing the GMWp. In contrast, a higher resource productivity correlates with an increased GMWp, suggesting complex implications for waste generation. The recycling rate, while impactful, shows a more modest effect compared to the other factors. The culminating insights from this study emphasize the need for sustainable, integrated waste management and support the adoption of circular economy-aligned policies. They underscore the efficacy of merging CE metrics with advanced predictive models to bolster regional sustainability efforts. |
Similar Articles
| ID | Score | Article |
|---|---|---|
4387
|
Giannakitsidou, O; Giannikos, I; Chondrou, A Ranking European countries on the basis of their environmental and circular economy performance: A DEA application in MSW(2020) | |
| 2683
|
Halkos, GE; Aslanidis, PSC New circular economy perspectives on measuring sustainable waste management productivity(2023) | |
| 23611
|
Albizzati, PF; Foster, G; Gaudillat, P; Manfredi, S; Tonini, D A model to assess the environmental and economic impacts of municipal waste management in Europe(2024) | |
| 16789
|
Silva, R; Robaina, M; Dias, MF; Magueta, D Assessing the Circular Materials Utilization Rate in the European Union: A Performance Evaluation(2024) | |
| 5751
|
Gökgöz, F; Yalçin, E Analysing the Circular Economies and Waste Management of European Countries via Decision Models(2024)Present Environment And Sustainable Development, 18, 1 | |
| 24197
|
Kalveram, AA; Patarlageanu, SR; Gheorghe, AF Disparities in the EU-27 Regarding Pollution and Generated Waste(2024)Proceedings Of The International Conference On Business Excellence, 18, 1 | |
| 1409
|
Busu, M; Trica, CL Sustainability of Circular Economy Indicators and Their Impact on Economic Growth of the European Union(2019)Sustainability, 11, 19 | |
| 3568
|
Tisserant, A; Pauliuk, S; Merciai, S; Schmidt, J; Fry, J; Wood, R; Tukker, A Solid Waste and the Circular Economy A Global Analysis of Waste Treatment and Waste Footprints(2017)Journal Of Industrial Ecology, 21, 3 | |
| 1766
|
Foggia, G; Beccarello, M Sustainability pathways in European waste management for meeting circular economy goals(2023)Environmental Research Letters, 18, 12 | |
| 535
|
Sterie, CM; Stoica, GD; Giuca, AD; Potarniche, ME Circular economy indicators - multiple linear regression(2022)Proceedings Of The International Conference On Business Excellence, 16, 1 |