Seasonality Fingerprint on Global Trading of Food-commodities. A Data-mining Approach
Date
21.10.2020
21.10.2020
Authors
Stefania Quaini (Fondazione Eni Enrico Mattei); Sebastiano Saccani (Fondazione Eni Enrico Mattei); Sergio Vergalli (Fondazione Eni Enrico Mattei, University of Brescia – Department of Economics and Management); Luigi Assom; Marco Beria; Alessandro Codello (Universidad de la Republica Montevideo); Maurizio Monaco; Riccardo Sabatini
JEL Code
F18, Q17, C8, C43
F18, Q17, C8, C43
Keywords:
Trade, Food Commodities, Resource Access and Availability, Index, Fingerprint, Data Mining
Trade, Food Commodities, Resource Access and Availability, Index, Fingerprint, Data Mining
Publisher
2030 Agenda
2030 Agenda
Editor
Sergio Vergalli
Sergio Vergalli
We analyze the United Nations commodities trade database (UN comtrade), comprised of international commodities exchanges in volume and price with monthly resolution. We introduce a trade impact index to quantify the impact, in terms of distance travelled, of importing a specific food raw commodity in a specific period of the year and in a specific country of the world. This index captures the seasonal exchange of raw commodities in an insightful and concise manner.
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Suggested citation: Quaini, S., S. Saccani, S. Vergalli, L. Assom, M. Beria, A. Codello, M. Monaco, R. Sabatini, (2020), ‘Seasonality Fingerprint on Global Trading of Food-commodities. A Data-mining Approach’, Nota di Lavoro 15.2020, Milano, Italy: Fondazione Eni Enrico Mattei