The DOI matches its Crossref record; 29 of the 29 references it cites were found in a registry or an index.
Drivers and triggers of international food price spikes and volatility
Open accessAbstract
The objective of this study is to explore empirical evidence on the quantitative importance of supply, demand, and market shocks for price changes in international food commodity markets. To this end, it distinguishes between root, conditional, and internal drivers of price changes using three empirical models: (1) a price spike model where monthly food price returns (spikes) are estimated against oil prices, supply and demand shocks, and excessive speculative activity; (2) a volatility model where annualized monthly variability of food prices is estimated against the same set of variables plus a financial crises index; and (3) a trigger model that estimates extreme values of price spikes and volatility using quantile regressions. The results point to the increasing linkages among food, energy, and financial markets, which explain much of the observed food price spikes and volatility. While financial speculation amplifies short-term price spikes, oil price volatility intensifies medium-term price volatility.
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Cites
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Rethinking the global food crisis: The role of trade shocks
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Clapp, J., & Moseley, W. G. (2020) · The Journal of Peasant Studies · doi:10.1080/03066150.2020.1823838 · Cited by 414
Food production shocks across land and sea
Cottrell, R. S., Nash, K. L., Halpern, B. S., Remenyi, T. A., Corney, S. P., Fleming, A., Fulton, E. A., Hornborg, S., Johne, A., Watson, R. A., et al. (2019) · Nature Sustainability · doi:10.1038/s41893-018-0210-1 · Cited by 344
The Healthy Weight Commitment Foundation Pledge
Ng, S. W., Slining, M. M., & Popkin, B. M. (2014) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2014.05.029 · Cited by 58
The Financialization of Food and the 2008–2011 Food Price Spikes
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Metadata
- Authors
- Tadesse, G., Algieri, B., Kalkuhl, M., & von Braun, J.
- Venue
- Food Policy
- Publisher
- Elsevier BV
- Published
- 2014-08
- Volume
- 47
- Pages
- 117-128
- ISSN
- 0306-9192 (ISSN-L)
- OpenAlex
- W2023936764
- Cited by
- 298
- References
- 29
- FWCI
- 42.67
- Type
- journal article
- Language
- en
- Open access
- hybrid
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.