Predicting the future trends for circular economy
International Journal of System Assurance Engineering and Management, ISSN: 0976-4348, Vol: 15, Issue: 10, Page: 4905-4922
2024
- 8Captures
Metric Options: Counts1 Year3 YearSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Captures8
- Readers8
Article Description
Considering sustainability and resource efficiency goals, the circular economy has gained significant attention as a promising economic model. For the country’s sustainable development, policymakers need to design a new economic framework that targets the reduction of waste generation and the enhancement of its usage. To achieve this, countries worldwide focus on total municipal waste generation and its disposal methods with a focus on recycling. Considering this need, the Organisation for Economic Co-operation and Development (OECD) explored twelve factors associated with the Circular Economy (CE) for European countries. For a better understanding, a correlation analysis was conducted on total municipal waste generation and recycling for eleven countries. Trend analysis is also performed to understand how countries should plan their future policy designs while keeping sustainability in the limelight. The study employs an autoregressive integrated moving average (ARIMA) model to predict trends in two crucial components of the CE: municipal waste generation and recycling rates. The predicting modelling approach will provide a targeted measure for policymakers to handle waste efficiently.
Bibliographic Details
Springer Science and Business Media LLC
Provide Feedback
Have ideas for a new metric? Would you like to see something else here?Let us know