Abstract
Objectives
The objective of the present study was to investigate the relationship between price and sales volume of non-alcoholic sugar-sweetened beverages (SSBs), diet drinks, sweets and chocolates, including own and cross price elasticity to further quantify the potential impact of price.
Methods
The study was based on retail scanner data for grocery sales from retail outlet chains in Denmark during the year 2008–2015. A fixed-effects model was used to estimate the association between price and sales volume, using own price and cross price elasticity.
Results
Sales volume of all sugary products except for chocolates were significantly negatively associated with price. Own price elasticity varied from −0.3 to −0.4 for drinks and sweets indicating that a 10% increase in price would cause a reduction in sales by 3 or 4%. A 10% increase in price of carbonated SSBs would increase sales of diet drinks by 7%. Cross price elasticities for other products were not significant.
Conclusions
The results of the present study demonstrated significant negative associations between changes in price and changes in the sale of SSBs, diet drinks and sweets.
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Acknowledgements
This work was supported by Helsefonden.
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TB-A contributed to the conceptualization and design of the study, statistical analyses, interpretation of results, drafting and revision of the manuscript. AHA contributed to the design of the study, statistical analyses, interpretation of results and revision of the manuscript. TJ contributed to the conceptualization and design of the study, interpretation of results and revision of the manuscript. LHE contributed to the design of the study, interpretation of results and revision of the manuscript. UT contributed to the conceptualization and design of the study, interpretation of results and revision of the manuscript. All authors approved the final version of the manuscript.
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41430_2019_470_MOESM1_ESM.docx
Supplementary Table 1. Own price elasticities of sugary products calculated by the two statistical models; general linear model (GLM) and seemingly unrelated regression (SUR)
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Buch-Andersen, T., Helms Andreasen, A., Jørgensen, T. et al. Price and sales volume of sugar-sweetened beverages, diet drinks, sweets and chocolates: analysis of Danish retail scanner data. Eur J Clin Nutr 74, 581–587 (2020). https://doi.org/10.1038/s41430-019-0470-5
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DOI: https://doi.org/10.1038/s41430-019-0470-5