Wheels Within Wheels: Mapping the Genealogy of circular Economy using Machine Learning

Hachaichi, Mohamed; Bourdin, Sébastien

doi:10.1007/s43615-023-00260-7

Circ.Econ.Sust.

2023

DOI: 10.1007/s43615-023-00260-7

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Wheels Within Wheels: Mapping the Genealogy of circular Economy using Machine Learning

Mohamed Hachaichi

Sébastien Bourdin²

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Cited by 2 publications

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Towards a territorialisation of the circular economy: the proximity of stakeholders and resources matters

Chembessi,

Bourdin,

Torre

2024

Cambridge Journal of Regions, Economy and Society

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This article explores the territorialisation of the circular economy (CE) and analyses how the geographical and organised proximities of stakeholders facilitate the mobilisation of local resources for CE projects. It focuses on two local CE initiatives in Quebec (Canada) and France, for which 70 semi-structured interviews were conducted. The results highlight the importance of tangible and intangible territorial resources and demonstrate that geographical and organised proximities are crucial to the success of these initiatives. The relational dynamic between local players, stimulated by a sense of belonging and shared values, encourages commitment to CE. Thus, our study showcases the territorialisation of CE and emphasises the conditions enabling such activities to take root locally. This study has significant political implications and suggests the crucial role that local authorities must play in the deployment of CE projects.

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Towards a territorialisation of the circular economy: the proximity of stakeholders and resources matters

Chembessi,

Bourdin,

Torre

2024

Cambridge Journal of Regions, Economy and Society

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Quantifying the Circular Economy in European Regions: a Bridge towards Smart Specialisation?

Kruse,

Wedemeier

2023

REGION

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Circular Economy (CE) aspects are becoming increasingly relevant for a sustainable transition and regional development. Still, a methodology to assess regional performance and interregional differences is exclaimed to be missing at least in the European context. This gap makes it difficult to assess policies and evaluate development patterns. The authors present a methodology to overcome this research gap by including several dimensions of social, environmental, and economic CE aspects. The methodology consists of 29 indicators grouped in six dimensions with data obtained from various data bases. A static and a trend index are calculated to compare European NUTS 2 regions in terms of their current CE status and its development over the last years. The new insights paint a more differentiated picture of regional CE transition highlighting that a segregation is observable not so much between North and South or East and West but more between urban and rural regions. Regarding the practical CE implementation in European regions, the instrument of smart specialisation is discussed.

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Wheels Within Wheels: Mapping the Genealogy of circular Economy using Machine Learning

Cited by 2 publications

References 71 publications

Towards a territorialisation of the circular economy: the proximity of stakeholders and resources matters

Towards a territorialisation of the circular economy: the proximity of stakeholders and resources matters

Quantifying the Circular Economy in European Regions: a Bridge towards Smart Specialisation?

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