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Regional Regression Correlation Model of Microplastic Water Pollution Control Using Circular Economy Tools
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This meta-analysis pools data from European studies to build a model connecting microplastic water pollution to circular economy solutions. The research found that regions with stronger recycling and waste reduction policies tend to have lower levels of microplastic water contamination. This suggests that better plastic waste management through circular economy approaches could meaningfully reduce the microplastics that end up in our drinking water.
Water pollution caused by microplastics represents an important challenge for the environment and people's health. The weak international regulations and standards in this domain support increased water pollution with microplastics. The literature is unsuccessful in establishing a common approach regarding this subject. The main objective of this research is to develop a new approach to necessary policies and ways of action to decrease water pollution caused by microplastics. In this context, we quantified the impact of European water pollution caused by microplastics in the circular economy. The main research methods used in the paper are meta-analysis, statistical analysis and an econometric approach. A new econometric model is developed in order to assist the decision makers in increasing efficiency of public policies regarding water pollution elimination. The main result of this study relies on combining, in an integrated way, the Organisation for Economic Co-operation and Development's (OECD) data on microplastic water pollution and identifying relevant policies to combat this type of pollution.
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When a large batch of papers lands in the Atlas, we read through it and send a short write-up of what stood out.