Market classification framework for e-waste recycling: a data-driven strategy for global mapping
Pizzuti Allende, Gianfranco (A.A. 2024/2025) Market classification framework for e-waste recycling: a data-driven strategy for global mapping. Tesi di Laurea in Microeconomics, Luiss Guido Carli, relatore Luigi Marengo, pp. 32. [Bachelor's Degree Thesis]
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Abstract/Index
Literature review. Global flows and transboundary movement. Gaps in measurement and statistical infrastructure. The need for systematic classification. Data and indicators. Indicator framework. Data availability and normalization strategy. Methodology. Data preparation and cleaning. Normalization of indicators. Construction of composite dimension scores. Correlation analysis. Clustering analysis (2022). Visualization in power bi. Results and local analysis. Comparative profile of composite scores. Time-series analysis. E-waste category breakdown. Policy & infrastructure gaps.
References
Bibliografia: p. 26.
| Thesis Type: | Bachelor's Degree Thesis |
|---|---|
| Institution: | Luiss Guido Carli |
| Degree Program: | Bachelor's Degree Programs > Bachelor's Degree Program in Management and Computer Science, English language (L-18) |
| Chair: | Microeconomics |
| Thesis Supervisor: | Marengo, Luigi |
| Academic Year: | 2024/2025 |
| Session: | Summer |
| Deposited by: | Alessandro Perfetti |
| Date Deposited: | 20 Nov 2025 15:05 |
| Last Modified: | 20 Nov 2025 15:05 |
| URI: | https://tesi.luiss.it/id/eprint/43997 |
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