open access publication

Article, 2024

Food for thought: A meta-analysis of animal food demand elasticities across world regions

Food Policy, ISSN 1873-5657, 0306-9192, Volume 122, Page 102581, 10.1016/j.foodpol.2023.102581

Contributors

Bouyssou, Clara García 0000-0001-7076-2383 [1] Jensen, Jørgen Dejgård [1] Yu, Wusheng 0000-0002-2311-3759 (Corresponding author) [1]

Affiliations

  1. [1] University of Copenhagen
  2. [NORA names: KU University of Copenhagen; University; Denmark; Europe, EU; Nordic; OECD]

Abstract

Animal food products are featured prominently in current debates on dietary transitions. Food demand projections and policy evaluations often draw on expenditure and price elasticity estimates; thus, it is crucial that these elasticities are robust at an adequate product disaggregation, well-founded, and comparable both across products and countries. To the extent of our knowledge, there is no analysis providing meta-elasticities for all world regions, all food groups, and disaggregated animal foods. In this study, we cover this gap and collect a database with more than 50,000 demand elasticities from 444 studies and 87 countries. As 50% of our sample involves animal food products, we are able to provide food demand meta-elasticities for 14 food groups, of which ten are animal food. We present a set of estimated expenditure, own-price, and cross-price; unconditional and conditional; and uncompensated and compensated elasticities; and discuss their policy implications.

Keywords

animal food products, animal foods, compensated elasticity, countries, cross-price, database, debates, demand, demand elasticities, demand projections, dietary transition, disaggregation, elasticity, elasticity estimates, estimated expenditure, estimation, evaluation, expenditure, food, food demand elasticities, food groups, food products, gap, group, implications, knowledge, meta-analysis, own-price, policy, policy evaluation, policy implications, price, price elasticity estimates, production, project, region, samples, study, transition, world, world regions

Data Provider: Digital Science