Literature DB >> 20019319

The impact of food prices on consumption: a systematic review of research on the price elasticity of demand for food.

Tatiana Andreyeva1, Michael W Long, Kelly D Brownell.   

Abstract

In light of proposals to improve diets by shifting food prices, it is important to understand how price changes affect demand for various foods. We reviewed 160 studies on the price elasticity of demand for major food categories to assess mean elasticities by food category and variations in estimates by study design. Price elasticities for foods and nonalcoholic beverages ranged from 0.27 to 0.81 (absolute values), with food away from home, soft drinks, juice, and meats being most responsive to price changes (0.7-0.8). As an example, a 10% increase in soft drink prices should reduce consumption by 8% to 10%. Studies estimating price effects on substitutions from unhealthy to healthy food and price responsiveness among at-risk populations are particularly needed.

Mesh:

Year:  2009        PMID: 20019319      PMCID: PMC2804646          DOI: 10.2105/AJPH.2008.151415

Source DB:  PubMed          Journal:  Am J Public Health        ISSN: 0090-0036            Impact factor:   9.308


  15 in total

1.  Price, tobacco control policies and smoking among young adults.

Authors:  F J Chaloupka; H Wechsler
Journal:  J Health Econ       Date:  1997-06       Impact factor: 3.883

Review 2.  Reducing the burden of smoking world-wide: effectiveness of interventions and their coverage.

Authors:  Prabhat Jha; Frank J Chaloupka; Marlo Corrao; Binu Jacob
Journal:  Drug Alcohol Rev       Date:  2006-11

Review 3.  Effects of soft drink consumption on nutrition and health: a systematic review and meta-analysis.

Authors:  Lenny R Vartanian; Marlene B Schwartz; Kelly D Brownell
Journal:  Am J Public Health       Date:  2007-02-28       Impact factor: 9.308

4.  Contingent valuation analysis of willingness to pay to reduce childhood obesity.

Authors:  John Cawley
Journal:  Econ Hum Biol       Date:  2008-06-06       Impact factor: 2.184

5.  State sales tax rates for soft drinks and snacks sold through grocery stores and vending machines, 2007.

Authors:  Jamie F Chriqui; Shelby S Eidson; Hannalori Bates; Shelly Kowalczyk; Frank J Chaloupka
Journal:  J Public Health Policy       Date:  2008-07       Impact factor: 2.222

6.  Impact of tobacco control policies and mass media campaigns on monthly adult smoking prevalence.

Authors:  Melanie A Wakefield; Sarah Durkin; Matthew J Spittal; Mohammad Siahpush; Michelle Scollo; Julie A Simpson; Simon Chapman; Victoria White; David Hill
Journal:  Am J Public Health       Date:  2008-06-12       Impact factor: 9.308

7.  Price and maternal obesity influence purchasing of low- and high-energy-dense foods.

Authors:  Leonard H Epstein; Kelly K Dearing; Rocco A Paluch; James N Roemmich; David Cho
Journal:  Am J Clin Nutr       Date:  2007-10       Impact factor: 7.045

Review 8.  Pricing effects on food choices.

Authors:  Simone A French
Journal:  J Nutr       Date:  2003-03       Impact factor: 4.798

9.  Increasing caloric contribution from sugar-sweetened beverages and 100% fruit juices among US children and adolescents, 1988-2004.

Authors:  Y Claire Wang; Sara N Bleich; Steven L Gortmaker
Journal:  Pediatrics       Date:  2008-06       Impact factor: 7.124

10.  Effect of a targeted subsidy on intake of fruits and vegetables among low-income women in the Special Supplemental Nutrition Program for Women, Infants, and Children.

Authors:  Dena R Herman; Gail G Harrison; Abdelmonem A Afifi; Eloise Jenks
Journal:  Am J Public Health       Date:  2007-11-29       Impact factor: 9.308

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  176 in total

Review 1.  Food prices and obesity: a review.

Authors:  Eric A Finkelstein; Kiersten L Strombotne; Chen Zhen; Leonard H Epstein
Journal:  Adv Nutr       Date:  2014-11-14       Impact factor: 8.701

2.  Sugar-sweetened beverage taxes in Brazil.

Authors:  Rafael M Claro; Renata B Levy; Barry M Popkin; Carlos A Monteiro
Journal:  Am J Public Health       Date:  2011-11-28       Impact factor: 9.308

3.  Taxing sugar-sweetened beverages: a survey of knowledge, attitudes and behaviours.

Authors:  Cheryl Rivard; Danielle Smith; Susan E McCann; Andrew Hyland
Journal:  Public Health Nutr       Date:  2012-01-24       Impact factor: 4.022

Review 4.  Experimental research on the relation between food price changes and food-purchasing patterns: a targeted review.

Authors:  Leonard H Epstein; Noelle Jankowiak; Chantal Nederkoorn; Hollie A Raynor; Simone A French; Eric Finkelstein
Journal:  Am J Clin Nutr       Date:  2012-02-29       Impact factor: 7.045

5.  Public health hotline: using policy to influence health behaviors.

Authors:  Jay Maddock
Journal:  Hawaii J Med Public Health       Date:  2012-02

Review 6.  Ethical Issues for Public Health Approaches to Obesity.

Authors:  Suzanna M Azevedo; Lenny R Vartanian
Journal:  Curr Obes Rep       Date:  2015-09

7.  Do high vs. low purchasers respond differently to a nonessential energy-dense food tax? Two-year evaluation of Mexico's 8% nonessential food tax.

Authors:  Lindsey Smith Taillie; Juan A Rivera; Barry M Popkin; Carolina Batis
Journal:  Prev Med       Date:  2017-07-17       Impact factor: 4.018

8.  Effect of WIC Food Package Changes on Dietary Intake of Preschool Children in New Mexico.

Authors:  Alexandra B Morshed; Sally M Davis; Elizabeth A Greig; Orrin B Myers; Theresa H Cruz
Journal:  Health Behav Policy Rev       Date:  2015-01

9.  What "price" means when buying food: insights from a multisite qualitative study with Black Americans.

Authors:  Katherine Isselmann DiSantis; Sonya A Grier; Angela Odoms-Young; Monica L Baskin; Lori Carter-Edwards; Deborah Rohm Young; Vikki Lassiter; Shiriki K Kumanyika
Journal:  Am J Public Health       Date:  2013-01-17       Impact factor: 9.308

10.  Leveraging delay discounting for health: Can time delays influence food choice?

Authors:  Bradley M Appelhans; Simone A French; Tamara Olinger; Michael Bogucki; Imke Janssen; Elizabeth F Avery-Mamer; Lisa M Powell
Journal:  Appetite       Date:  2018-03-15       Impact factor: 3.868

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