The DOI matches its Crossref record; 23 of the 23 references it cites were found in a registry or an index.
The effect of rising food prices on food consumption: systematic review with meta-regression
Open accessAbstract
OBJECTIVE: To quantify the relation between food prices and the demand for food with specific reference to national and household income levels. DESIGN: Systematic review with meta-regression. DATA SOURCES: Online databases of peer reviewed and grey literature (ISI Web of Science, EconLit, PubMed, Medline, AgEcon, Agricola, Google, Google Scholar, IdeasREPEC, Eldis, USAID, United Nations Food and Agriculture Organization, World Bank, International Food Policy Research Institute), hand searched reference lists, and contact with authors. STUDY SELECTION: We included cross sectional, cohort, experimental, and quasi-experimental studies with English abstracts. Eligible studies used nationally representative data from 1990 onwards derived from national aggregate data sources, household surveys, or supermarket and home scanners. DATA ANALYSIS: The primary outcome extracted from relevant papers was the quantification of the demand for foods in response to changes in food price (own price food elasticities). Descriptive and study design variables were extracted for use as covariates in analysis. We conducted meta-regressions to assess the effect of income levels between and within countries on the strength of the relation between food price and demand, and predicted price elasticities adjusted for differences across studies. RESULTS: 136 studies reporting 3495 own price food elasticities from 162 different countries were identified. Our models predict that increases in the price of all foods result in greater reductions in food consumption in poor countries: in low and high income countries, respectively, a 1% increase in the price of cereals results in reductions in consumption of 0.61% (95% confidence interval 0.56% to 0.66%) and 0.43% (0.36% to 0.48%), and a 1% increase in the price of meat results in reductions in consumption of 0.78% (0.73% to 0.83%) and 0.60% (0.54% to 0.66%). Within all countries, our models predict that poorer households will be the most adversely affected by increases in food prices. CONCLUSIONS: Changes in global food prices will have a greater effect on food consumption in lower income countries and in poorer households within countries. This has important implications for national responses to increases in food prices and for the definition of policies designed to reduce the global burden of undernutrition.
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Cites
Preferred Reporting Items for Systematic Reviews and Meta-Analyses: the PRISMA statement
Moher, D., Liberati, A., Tetzlaff, J., Altman, D. G., & for the PRISMA Group (2009) · BMJ · doi:10.1136/bmj.b2535 · Cited by 83,823
Preferred reporting items for systematic reviews and meta-analyses: the PRISMA Statement.
(2009) · PubMed Central · Cited by 44,859
Preferred reporting items for systematic reviews and meta-analyses: The PRISMA statement
Moher, D., Liberati, A., Tetzlaff, J., Altman, D. G., & the PRISMA Group* (2009) · Annals of Internal Medicine · doi:10.7326/0003-4819-151-4-200908180-00135 · Cited by 37,554
Deaton, A. (1980) · Oxford University Research Archive (ORA) (University of Oxford) · Cited by 4,258
Andreyeva, T., Long, M. W., & Brownell, K. D. (2010) · American Journal of Public Health · doi:10.2105/ajph.2008.151415 · Cited by 1,141
Goklany, I. M. (2003) · Environmental History · doi:10.2307/3986209 · Cited by 708
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Late Victorian holocausts: El Nino famines and the making of the Third World
(2001) · Choice Reviews Online · doi:10.5860/choice.38-6200 · Cited by 320
Capacci, S., Mazzocchi, M., Shankar, B., Brambila Macias, J., Verbeke, W., Pérez-Cueto, F. J., Kozioł-Kozakowska, A., Piórecka, B., Niedzwiedzka, B., D'Addesa, D., et al. (2012) · Nutrition Reviews · doi:10.1111/j.1753-4887.2011.00442.x · Cited by 307
Self-citationAndreyeva, T., Chaloupka, F. J., & Brownell, K. D. (2011) · Preventive Medicine · doi:10.1016/j.ypmed.2011.03.013 · Cited by 245
Cited by
Whitmee, S., Haines, A., Beyrer, C., Boltz, F., Capon, A. G., de Souza Dias, B. F., Ezeh, A., Frumkin, H., Gong, P., Head, P., et al. (2015) · The Lancet · doi:10.1016/s0140-6736(15)60901-1 · Cited by 2,998
Smart food policies for obesity prevention
Hawkes, C., Smith, T. G., Jewell, J., Wardle, J., Hammond, R. A., Friel, S., Thow, A. M., & Kain, J. (2015) · The Lancet · doi:10.1016/s0140-6736(14)61745-1 · Cited by 836
The future of food demand: understanding differences in global economic models
Valin, H., Sands, R. D., van der Mensbrugghe, D., Nelson, G. C., Ahammad, H., Blanc, E., Bodirsky, B., Fujimori, S., Hasegawa, T., Havlik, P., et al. (2014) · Agricultural Economics · doi:10.1111/agec.12089 · Cited by 561
Kim, D., Kadam, A., Shinde, S., Saratale, R. G., Patra, J., & Ghodake, G. (2018) · Journal of the Science of Food and Agriculture · doi:10.1002/jsfa.8749 · Cited by 312
Mitigation potential and global health impacts from emissions pricing of food commodities
Springmann, M., Mason-D’Croz, D., Robinson, S., Wiebe, K., Godfray, H. C. J., Rayner, M., & Scarborough, P. (2017) · Nature Climate Change · doi:10.1038/nclimate3155 · Cited by 295
Metadata
- Authors
- Green, R., Cornelsen, L., Dangour, A. D., Turner, R., Shankar, B., Mazzocchi, M., & Smith, R. D.
- Venue
- BMJ
- Publisher
- BMJ
- Published
- 2013-06-17
- Volume
- 346
- Issue
- jun17 1
- Pages
- f3703-f3703
- ISSN
- 1756-1833 (ISSN-L)
- OpenAlex
- W2017686600
- Cited by
- 406
- References
- 23
- FWCI
- 12.69
- Type
- journal article
- Language
- en
- Open access
- hybrid
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