Regional Regression Correlation Model of Microplastic Water Pollution Control Using Circular Economy Tools

Area of Science:

• Environmental Science
• Economics
• Policy Studies

Background:

• Microplastic water pollution poses significant environmental and health risks.
• Current international regulations and standards are insufficient to curb microplastic pollution.
• A lack of a unified approach hinders effective mitigation strategies.

Approach:

• Developed a novel econometric model to quantify the impact of microplastic pollution on the circular economy.
• Utilized meta-analysis and statistical analysis to integrate data.
• Combined Organisation for Economic Co-operation and Development (OECD) data on microplastic water pollution.

Key Points:

• Quantified the economic impact of European microplastic water pollution within the circular economy framework.
• Identified and integrated relevant policies for microplastic pollution reduction.
• The developed model assists policymakers in improving the efficiency of water pollution elimination strategies.

Conclusions:

• The study provides an integrated approach to address microplastic water pollution.
• The econometric model offers a tool for evidence-based policy decision-making.
• Recommendations are provided for enhancing public policies to combat microplastic pollution effectively.