Abstract
We pair Nielsen TDLinx data, 2004–2014, with Consumer Price Index data to investigate how changes in food retail market structure drive food price inflation. We find, in corroboration with much of the evidence to date, that market concentration is positively and significantly associated with higher food prices. We find the same to be true for store format concentration, or the homogeneity of food markets. As the market shares, or penetration, of supercenters, warehouse stores, limited assortment stores, and superettes increase at expense of traditional supermarkets, food price inflation decreases.
Correction Note
Correction added after online publication February 28, 2017: The views expressed in this paper are those of the authors and may not be attributed to USDA or ERS.
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Appendix
A Annual Sales Categories
| TDLinx Category | Store-Level Annual Sales Range | Frequency (Percent of Total Stores) |
|---|---|---|
| 1 | $1 to $500,000 | 340 (0.05) |
| 2 | $500,001 to $1,000,000 | 14,039 (1.87) |
| 3 | $1,000,001 to $1,500,000 | 148,337 (19.76) |
| 4 | $1,500,001 to $2,000,000 | 141,189 (18.81) |
| 5 | $2,000,001 to $4,000,000 | 235,652 (31.39) |
| 6 | $4,000,001 to $6,000,000 | 66,517 (8.86) |
| 7 | $6,000,001 to $8,000,000 | 31,340 (4.19) |
| 8 | $8,000,001 to $12,000,000 | 22,309 (2.97) |
| 9 | $12,000,001 to $16,000,000 | 14,776 (1.97) |
| 10 | $16,000,001 to $20,000,000 | 14,334 (1.91) |
| 11 | $20,000,001 to $25,000,000 | 16,356 (2.18) |
| 12 | $25,000,001 to $30,000,000 | 11,412 (1.52) |
| 13 | $30,000,001 to $35,000,000 | 6,564 (0.87) |
| 14 | $35,000,001 to $40,000,000 | 6,671 (0.89) |
| 15 | $40,000,001 to $45,000,000 | 4,410 (0.59) |
| 16 | $45,000,001 to $50,000,000 | 3,499 (0.47) |
| 17 | $50,000,001 to $75,000,000 | 8,160 (1.09) |
| 18 | $75,000,001 to $100,000,000 | 1,986 (0.26) |
| 19 | $100,000,001 and up | 2,782 (0.37) |
Source: Nielsen TDLinx, 2004–2014.
B Summary Statistics for Store Count Shares, by Format
| Chain Supermarket Store Count Share | Avg. Across All Years (%) | 11.89 | 2.79 | 6.21 (Detroit) | 17.22 (Washington) |
| Percent Change, 2004–2014 | –28.65 | 11.65 | –37.68 (Detroit) | 21.36 (Pittsburgh) | |
| Supercenter Store Count Share | Avg. Across All Years (%) | 1.57 | 1.36 | 0.0 (Honolulu) | 3.49 (Phoenix) |
| Percent Change, 2004–2014 | 234.18 | 453.04 | 15.19 (Portland) | 2418.19 (Los Angeles) | |
| Club Store Count Share | Avg. Across All Years (%) | 0.91 | 0.49 | 0.49 (Houston) | 1.62 (Honolulu) |
| Percent Change, 2004–2014 | –7.42 | 14.62 | –12.14 (San Diego) | 46.24 (Pittsburgh) | |
| Convenience Store Count Share | Avg. Across All Years (%) | 68.24 | 7.65 | 56.86 (Los Angeles) | 78.33 (Houston) |
| Percent Change, 2004–2014 | –7.42 | 14.62 | –7.58 (Philadelphia) | 5.39 (Portland) | |
| Dollar Store Count Share | Avg. Across All Years (%) | 3.53 | 4.63 | 0.04 (Honolulu) | 7.23 (Pittsburgh) |
| Percent Change, 2004–2014 | 30.54 | 33.86 | 14.45 (Kansas City) | 263.10 (Seattle) | |
| Independent Supermarket Store Count Share | Avg. Across All Years (%) | 2.50 | 1.31 | 0.64 (Phoenix) | 5.89 (Detroit) |
| Percent Change, 2004–2014 | 54.94 | 61.94 | –72.26 (Pittsburgh) | 36.68 (Miami) |
© 2018 Walter de Gruyter GmbH, Berlin/Boston
Articles in the same Issue
- Invited Article
- Alternative Policy Responses to Increased Use of Formula Pricing
- Articles
- Farm Gate Prices for Non-Varietal Wine in Argentina: A Multilevel Comparison of the Prices Paid by Cooperatives and Investor-Oriented Firms
- Spatial Pricing in Uncontested Procurement Markets: Regulatory Implications
- Structure and Food Price Inflation
- Do Geographical Indications Really Increase Trade? A Conceptual Framework and Empirics
- Using Local Information to Improve Short-Run Corn Price Forecasts
Articles in the same Issue
- Invited Article
- Alternative Policy Responses to Increased Use of Formula Pricing
- Articles
- Farm Gate Prices for Non-Varietal Wine in Argentina: A Multilevel Comparison of the Prices Paid by Cooperatives and Investor-Oriented Firms
- Spatial Pricing in Uncontested Procurement Markets: Regulatory Implications
- Structure and Food Price Inflation
- Do Geographical Indications Really Increase Trade? A Conceptual Framework and Empirics
- Using Local Information to Improve Short-Run Corn Price Forecasts