Çinicioğlu E. N.
ECO4ALL mid-term International Conference, Iasi, Romania, 9 - 10 May 2025, pp.134-143, (Full Text)
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Publication Type:
Conference Paper / Full Text
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Doi Number:
10.47743/eco4all.2025.1.9
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City:
Iasi
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Country:
Romania
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Page Numbers:
pp.134-143
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Istanbul University Affiliated:
Yes
Abstract
This study applies Bayesian Network (BN) modelling to assess changes in the
interdependencies among key Circular economy (CE) indicators across two
timeframes:2012-2016 and 2017-2021. Using data from EURUSTAT monitoring
framework, we analyse how variables such as material footprint, material import
dependency, and private investment in Circular Economy interact over time. Structure
learning is conducted separately for each period, followed by posterior updates based on
selected evidence. The results reveal a temporal shift in material sourcing. While high
material consumption in the earlier period is primarily supported by domestic resources,
the later period showed increased dependency on imported materials under similar
conditions. Furthermore, high private investment in Circular economy does not
automatically reduce material import dependency and may coincide with higher external
reliance, suggesting delayed impacts or structural limitations.