Income Tiers, Expenditure Shares, and Satiation: A Fully Interacted Fractional Logit Analysis of Household Meat Consumption in Turkiye
AGRIBUSINESS, 2026 (SCI-Expanded, SSCI, Scopus)
- Yayın Türü: Makale / Tam Makale
- Basım Tarihi: 2026
- Doi Numarası: 10.1002/agr.70173
- Dergi Adı: AGRIBUSINESS
- Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Social Sciences Citation Index (SSCI), Scopus, Periodicals Index Online, ABI/INFORM, CAB Abstracts, EconLit, Food Science & Technology Abstracts, INSPEC, Natural Science Collection (ProQuest), Business Source Ultimate (EBSCO), Materials Science & Engineering Collection (ProQuest), Technology Collection (ProQuest)
- Bursa Uludağ Üniversitesi Adresli: Evet
Özet
Although food demand in Turkiye is widely researched, existing studies mostly rely on aggregate demand systems and provide limited insights into income-specific meat expenditure shares. Using microdata from the 2022 Household Budget Survey, this study analyzes household meat spending shares via a unified fractional logit interaction model estimated with quasi-maximum likelihood and HC3 robust standard errors. Formal model testing strongly rejects parameter homogeneity across income groups (p < 0.001), confirming systematic slope variation and supporting a fully interacted specification over restricted pooled models. The findings reveal critical behavioral differences across income strata. Disposable income significantly increases meat budget shares only among low-income households, an effect that vanishes for middle- and high-income groups, providing empirical evidence for the household-level satiation hypothesis. Predictive simulation trajectories further illustrate structural asymmetry: low-income meat budget shares rise sharply from 3.0% to 4.1% (a relative increase exceeding 36%), confirming high-protein foods as aspirational goods under tight budget constraints. Conversely, medium- and high-income trajectories flatten and plateau between 5.7% and 6.0%, indicating complete income inelasticity and a saturation ceiling. Socio-demographic factors-including education, employment, gender, tobacco use, and dining out-also display notable income-dependent relationships, gaining economic significance once structural interactions are accounted for. Although based on a single cross-section during high inflation-limiting dynamic causal inferences about inflation-the study moves beyond average population effects by verifying structural behavioral shifts across income tiers. These results suggest that food assistance and social welfare policies must account for income-specific behavioral dynamics rather than relying on uniform aggregate measures.