Models for Analyzing the Dependencies between Indicators for a Circular Economy in the European Union

The circular economy has become one of the main strategic issues on a global scale in the striving towards achieving sustainable economic systems. The traditional model of production, consumption and disposal is being transformed into a recycling and waste integration process from the beginning of t...

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Bibliographic Details
Published in:Sustainability 2018-06, Vol.10 (7), p.2141
Main Authors: Tantau, Adrian, Maassen, Maria, Fratila, Laurentiu
Format: Article
Language:English
Subjects:
Business models
Circular economy
Consumption
Design
Economic conditions
Economics
Efficiency
Environmental factors
Environmental impact
Environmental tax
Indicators
Municipal wastes
Raw materials
Recyclable materials
Recycling
Regression analysis
Statistical analysis
Sustainability
Taxation
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Summary:The circular economy has become one of the main strategic issues on a global scale in the striving towards achieving sustainable economic systems. The traditional model of production, consumption and disposal is being transformed into a recycling and waste integration process from the beginning of the production cycle of a product until its full use by the consumers. While measuring the progress towards a circular economy can be a challenging factor, several indicators can be used to evaluate developments in this direction. That is why recycling in general, as well as recycling of municipal waste, have become a main strategic issue in the process towards implementation of circular economy principles. The main objective of the paper is to elaborate a panel regression model for determining the dependency between main indicators, that are indicating progress of the circular economy in Europe, such as the recycling rate of municipal waste, circular material use rate, R&D expenditure by all sectors, trade in recyclable raw materials and environmental tax revenues, resource productivity and domestic material consumption. Furthermore, the fixed and random effects regression models estimations are included and tested through the Durbin–Hausman–Wu statistic. The research in this study is based on the analysis of regressions in the circular economy fields in the European Union and intends to contribute to the research in the field, being an emerging scientific topic due to changing technological, economic and environmental factors.
ISSN:2071-1050
2071-1050
DOI:10.3390/su10072141