Waste Management and Innovation: Insights from Europe

This paper analyzes the relationship between urban waste recycling and innovation systems in Europe. Data from the Global Innovation Index for 34 European countries in the period 2013–2022 were used. To analyze the characteristics of European countries in terms of waste recycling capacity, the k-Means algorithm optimized with the Elbow method and the Silhouette Coefficient was used. The results show that the optimal number of clusters is three. Panel data results show that waste recycling increases with domestic market scale, gross capital formation, and the diffusion of Information and Communication Technologies (ICTs), while it decreases with the infrastructure index, business sophistication index, and the average expenditure on research and development of large companies.

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Publication Details

Journal
Recycling
Published
2024-09-19
DOI
https://doi.org/10.3390/recycling9050082
Citations
28
Primary Topic
Municipal Solid Waste Management
Type
article
Field-Weighted Citation Impact
8.21
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article

Waste Management and Innovation: Insights from Europe

Lucio Laureti, Alberto Costantiello, Cosimo Magazzino, Fabio Anobile
28 citations
Recycling
Municipal Solid Waste Management
8.21
article

Waste Management and Innovation: Insights from Europe

Lucio Laureti, Alberto Costantiello, Cosimo Magazzino, Fabio Anobile
article en
28 citations

Abstract

This paper analyzes the relationship between urban waste recycling and innovation systems in Europe. Data from the Global Innovation Index for 34 European countries in the period 2013–2022 were used. To analyze the characteristics of European countries in terms of waste recycling capacity, the k-Means algorithm optimized with the Elbow method and the Silhouette Coefficient was used. The results show that the optimal number of clusters is three. Panel data results show that waste recycling increases with domestic market scale, gross capital formation, and the diffusion of Information and Communication Technologies (ICTs), while it decreases with the infrastructure index, business sophistication index, and the average expenditure on research and development of large companies.

RecyclingVol. 9(5)
Roma Tre University (IT), Western Caspian University (AZ), Ospedale San Giuseppe (IT)
Openalex Percentile: Top 2%
Municipal Solid Waste Management
8.21
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