Determinants of food consumption: the case of pearl millet in India’s dietary transition

Abstract It is widely acknowledged that economic development across global economies has been accompanied by structural shifts in both food and non-food consumption patterns. This study examines such changes and identifies the key determinants of household characteristics that account for such food consumption. Using the unit-level records of the consumer expenditure surveys published by the National Sample Survey Organisation (NSSO), this study measures the effects of household characteristics such as household size, source of cooking energy, religion, social group, economic class, and size of land owned and cultivated on the food consumption of pearl millet. The findings of the study are presented in two parts. While the first part draws broad observations regarding the changes in food consumption of pearl millet and other cereals, the second part presents the household determinants that are likely to affect the food consumption of pearl millet. Contrary to conventional understanding, this study shows evidence of the influence of various socio-economic factors on pearl millet consumption in India. The findings highlight the urgent need for policy intervention to promote millet consumption for nutritional security, particularly among the affluent and urban communities, where the likelihood of consuming pearl millet is rapidly decreasing.

Authors

Institutions

Publication Details

Journal
Agriculture & Food Security
Published
2025-12-06
DOI
https://doi.org/10.1186/s40066-025-00553-0
Primary Topic
Agricultural Economics and Practices
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Determinants of food consumption: the case of pearl millet in India’s dietary transition

Krishna Muniyoor, Khalid Hussain Ansari, Srikanta Routroy
Agriculture & Food Security
Agricultural Economics and Practices
article

Determinants of food consumption: the case of pearl millet in India’s dietary transition

Krishna Muniyoor, Khalid Hussain Ansari, Srikanta Routroy
article en

Abstract

Abstract It is widely acknowledged that economic development across global economies has been accompanied by structural shifts in both food and non-food consumption patterns. This study examines such changes and identifies the key determinants of household characteristics that account for such food consumption. Using the unit-level records of the consumer expenditure surveys published by the National Sample Survey Organisation (NSSO), this study measures the effects of household characteristics such as household size, source of cooking energy, religion, social group, economic class, and size of land owned and cultivated on the food consumption of pearl millet. The findings of the study are presented in two parts. While the first part draws broad observations regarding the changes in food consumption of pearl millet and other cereals, the second part presents the household determinants that are likely to affect the food consumption of pearl millet. Contrary to conventional understanding, this study shows evidence of the influence of various socio-economic factors on pearl millet consumption in India. The findings highlight the urgent need for policy intervention to promote millet consumption for nutritional security, particularly among the affluent and urban communities, where the likelihood of consuming pearl millet is rapidly decreasing.

Agriculture & Food SecurityVol. 14(1)
Birla Institute of Technology and Science, Pilani (IN)
Openalex Percentile: Top 47%
Agricultural Economics and Practices
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.