Spatial Distribution of the International Food Prices: Unexpected Heterogeneity and Randomness.

Clicks: 294
ID: 18381
2019
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Steady

Ranked #8 of 43 articles by views in ecological economics : the journal of the international society for ecological economics

Most read Least read

Bar heights use a square-root scale.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Sign in to mint
Abstract
Global food prices are typically analysed in a time-series framework. We complement this approach by focusing on the spatial price dispersion of the country-pair bilateral trade in the international food trade network (), for ten relevant commodities. The main purposes are to verify if the Law of One Price () holds and to investigate the emergence of randomness in the price-formation mechanism. We distinguish between the "internal" variance, which indicates the magnitude of price discrimination, and the "external" variance, that is a measure of price dispersion. We find that, for some commodities, spatial price dispersion is remarkable and persistent over time (i.e., failure of the ) and that there exists a strict correlation between price spikes and peaks in spatial price variability. We test whether the price distribution can be replicated through a stochastic process of extraction. Surprisingly, the actual distribution of prices, for several commodities, is well described by a random distribution. Then, the process of data aggregation is not neutral because the information at the micro-level scale might be lost at the macro-scale, due to the complexity of the . Finally, we discuss some possible economic explanations of these outcomes and the main methodological, environmental, and policy consequences.
Reference Key
distefano2019spatialecological Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Distefano, Tiziano;Chiarotti, Guido;Laio, Francesco;Ridolfi, Luca;
Journal ecological economics : the journal of the international society for ecological economics
Year 2019
DOI
10.1016/j.ecolecon.2019.01.010
URL
Keywords Keywords not found

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

Comments

No comments yet. Be the first to comment on this article.