| Title |
Re-assessing global municipal solid waste generation |
| ID_Doc |
28017 |
| Authors |
Maalouf, A; Mavropoulos, A |
| Title |
Re-assessing global municipal solid waste generation |
| Year |
2023 |
| Published |
Waste Management & Research, 41.0, 4 |
| DOI |
10.1177/0734242X221074116 |
| Abstract |
This study contributes to estimate the total waste generated at global level. A few studies have provided an efficient and comprehensive global estimate. However, data reporting is globally inconsistent due to varying interpretation of terminology, lacking standardised categories and varying methodologies used to observe and measure waste amounts. This study employs regression analysis and material flow analysis approaches to ensure a cross-comparability of waste generation data. The result implies that total global waste arisings are around 20 billion tonnes in 2017. This corresponds to 2.63 tonnes of total waste per capita (cap) per year. The total global waste generated is expected to grow to 46 billion tonnes by 2050 under a business-as-usual scenario. Municipal solid waste (MSW) is a much smaller amount, ranging from 2.3 to 3.1 billion tonnes (average of 2.7 billion tonnes) in 2019. This figure reflects an increase of between 30% and 50% in MSW generated during the last 15 years (2004-2019). MSW generated is expected to grow to 2.89-4.54 billion tonnes by 2050, depending on which assumptions are used. This represents a 26%-45% increase compared to 2019. The overall assessment in this study reveals that almost one-third of the total MSW generated is not collected, and most of what is collected is not treated accordingly to current ideas of sound management. Moreover, almost 42% of MSW goes to open dumping or uncontrolled burning. The finding provides valuable insight for policymakers to design and assess circular economy policy instruments towards achieving sustainable development goals. |
| Author Keywords |
Waste generation; global waste; waste disposal; waste estimation; municipal solid waste; regression analysis-based accounting; material flow analysis-based accounting; forecasting; circular economy |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Science Citation Index Expanded (SCI-EXPANDED) |
| EID |
WOS:000751176900001 |
| WoS Category |
Engineering, Environmental; Environmental Sciences |
| Research Area |
Engineering; Environmental Sciences & Ecology |
| PDF |
https://journals.sagepub.com/doi/pdf/10.1177/0734242X221074116
|