Cited by 122Economics of Agriculture and Food MarketsConsumer Market Behavior and PricingNutrition, Health and Food Behavior

Household Demand for Convenience and Nonconvenience Foods

Capps, Oral, Tedford, John R., Havlicek, Joseph·1985·American Journal of Agricultural Economics

Abstract

A variation of the Almost Ideal Demand System was employed to determine the impacts of total food expenditure, income, food prices, household size, and demographic variables on household demand for convenience and nonconveninece foods in the United States. The budget shares are generally more responsive to prices than to real total expenditure. Additionally, the quantities demanded of convenience and nonconvenience foods are generally more sensitive to changes in income and own‐prices than to changes in cross‐prices. With regard to demographic variates, primary users of convenience foods are white households with employed household managers less than 35 years of age.

Integrity signals

Registry

Crossref · 10.2307/1241827

Cites

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • MTR Foods reported a 20% rise in the same category during that period.

    “Moreover, according to MTR Foods Company, there is a 20% increase in the same category during this period.”
  • Red Seer Consulting and research reported a 61% rise in consumer spending on home-cooking products.

    “According to Red Seer Consulting and research, there has been a 61% increase in consumer spending on home-cooking products [2].”
  • Convenience food consumption, including ready-to-eat, ready-to-cook, and frozen foods, rose sharply during the 2020 COVID-19 pandemic.

    “In recent times, because of the pandemic situation caused by COVID-19 in 2020, there has been a huge hike in the consumption of convenience goods like ready-to-eat, ready-to-cook, and frozen foods.”
  • Grofers reported a 31% rise in orders for ready-made mixes and meals.

    “According to the online grocery delivery service Grofers there is a 31% increase in the purchasing orders of readymade mixes and meals.”
  • ID Fresh Foods recorded a 60% increase in paratha sales and a 20% increase in paneer and idly batter over the three months ending in June compared with the prior quarter.

    “In the span of three months to the end of June, ID Fresh foods have seen a rise of 60% compared with the previous quarter in the paratha's sale and a 20% jump in pannier and idly batter.”

Cited by

Sorted by citations

Authors
Capps, O., Tedford, J. R., & Havlicek, J.
Affiliations
  • Virginia Tech (US)
  • Clarkson College (US)
  • The Ohio State University (US)
Venue
American Journal of Agricultural Economics
Publisher
Wiley
Published
1985-11
Volume
67
Issue
4
Pages
862-869
ISSN
  • 0002-9092 (ISSN-L)
  • 1467-8276
OpenAlex
W2101195237
Cited by
122
References
0
Citations by year
2025: 1 · 2024: 1 · 2023: 2 · 2022: 2 · 2021: 5 · 2020: 2 · 2019: 5 · 2018: 1 · 2017: 5 · 2016: 6 · 2015: 6 · 2014: 7 · 2013: 3 · 2012: 3
FWCI
17.48
Type
journal article
Language
en
Open access
closed
Locations
  • American Journal of Agricultural Economics (publishedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
Topics
  • Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Economics of Agriculture and Food Markets
  • Social Sciences › Business, Management and Accounting › Marketing › Consumer Market Behavior and Pricing
  • Health Sciences › Nursing › Nutrition and Dietetics › Nutrition, Health and Food Behavior
Keywords
convenience foods, household food demand, Almost Ideal Demand System, food expenditure, food prices, income elasticity, price elasticity, United States households

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review