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Valerio Elia

Researcher at University of Salento

Publications -  39
Citations -  1139

Valerio Elia is an academic researcher from University of Salento. The author has contributed to research in topics: Sustainability & Supply chain. The author has an hindex of 12, co-authored 34 publications receiving 735 citations.

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Book ChapterDOI

Waste Electrical and Electronic Equipment (WEEE): Flows, Quantities, and Management—A Global Scenario

TL;DR: In this article, the authors reveal the geographies of E-waste flows at global and national levels based on waste statistics data and thematic cartography, examining waste electrical and electronic equipment (WEEE) management practices for each major geographical area respectively: Europe, North America, Latin America, Caribbean, South America, Africa, Asia, and Oceania.
Journal ArticleDOI

Carbon capture and reuse in an industrial district: A technical and economic feasibility study

TL;DR: In this paper, a feasibility study regarding an Italian industrial district is discussed: the district is characterised by the nearby locations of a CO2 producer (i.e. an natural gas combined cycle power plant) and a CO 2 user (e.g. a sugar factory).
Journal ArticleDOI

New sources of clustering in the digital economy

TL;DR: In this paper, Romano et al. examined new sources of clustering in the digital economy and showed the emerging overlap between digital and knowledge networks, which generates a new competitive space within a new global virtual learning environment.
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Evaluating the adoption of circular economy practices in industrial supply chains: An empirical analysis

TL;DR: In this paper, the authors analyzed the relationship between the level of SC integration and the adopted CE strategies (e.g., the number of objectives pursued, the life cycle phases impacted by CE) and found that a higher SC integration might lead to a higher number of product/service LC phases impacted.
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Improving logistic efficiency of WEEE collection through dynamic scheduling using simulation modeling

TL;DR: Results show a promising performance of dynamic schedules compared to the fixed one, revealing, for the specific test case, how a mixed solution can combine the advantages of dynamic and fixed scheduling, gaining flexibility towards customer demand while improving truck resource utilization.