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The Income Elasticities of Food, Calories, and Nutrients in China: A Meta-Analysis.
Zhao, Jinlu; Huang, Jiaqi; Nie, Fengying.
Afiliação
  • Zhao J; Agricultural Information Institute of Chinese Academy of Agricultural Sciences, Beijing 100081, China.
  • Huang J; College of Economics and Management, China Agricultural University, Beijing 100083, China.
  • Nie F; Agricultural Information Institute of Chinese Academy of Agricultural Sciences, Beijing 100081, China.
Nutrients ; 14(22)2022 Nov 08.
Article em En | MEDLINE | ID: mdl-36432397
ABSTRACT
Estimating food- and nutrient-income elasticities is important for making food and nutrition policies to combat malnutrition. There are many studies that have estimated the relationship between income growth and food/nutrient demand in China, but the results are highly heterogeneous. We conducted a meta-analysis in China to systematically review the elasticity of food, calories, and other nutrients to income. We considered a meta-sample using a collection of 64 primary studies covering 1537 food-income elasticities, 153 nutrient-income elasticities, and 147 calorie-income elasticity estimates. There are significant differences in the size of the income elasticities across food and nutrient groups. We found that food- and calorie-income elasticity appear to decline as per capita income increases, except for vitamin and aquatic products. We also found a publication bias for food and calories, and in particular, the study attributes may be important, as they can influence estimates. Given the limited study on nutrient-income elasticity, understanding the impact of income changes on nutrient intake is an important direction worthy of further research.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Alimentos / Renda Tipo de estudo: Systematic_reviews Aspecto: Determinantes_sociais_saude País/Região como assunto: Asia Idioma: En Revista: Nutrients Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Alimentos / Renda Tipo de estudo: Systematic_reviews Aspecto: Determinantes_sociais_saude País/Região como assunto: Asia Idioma: En Revista: Nutrients Ano de publicação: 2022 Tipo de documento: Article