ArticleFoods (Basel, Switzerland)2024
Can Non-farm Employment Improve Dietary Diversity of Left-Behind Family Members in Rural China?
Article in Foods (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Can environmental signals influence dietary Behaviours?The impact of governmental green development attention on dietary diversity among older adults.SSM - population health · 2026Article
- Dietary diversity among Sundarbans forest-dependent communities: Prevalence, determinants, and livelihood implications.PloS one · 2026Article
- Measuring Global Dietary Diversity by Considering Nutritional Functional Dissimilarity and Dietary Guidelines.Foods (Basel, Switzerland) · 2025Article
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3 authors.
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Abstract
Rural residents in China are still at risk of malnutrition, and increasing dietary diversity is crucial to improving their health. This study empirically analyzed the impact of non-farm employment on the dietary diversity of rural left-behind family members based on the China Land Economy Survey (CLES) 2020-2021 panel data at the farm and village levels. Dietary diversity was measured using the dietary diversity score (DDS) and the Chinese Food Guide Pagoda Score (CFGPS). The empirical results show that non-farm employment significantly enhances the dietary diversity of rural left-behind household members, including animal food diversity and plant food diversity. This result verifies the altruism phenomenon of non-farm employment in family diet. Mechanism analysis shows that non-farm employment enhances the dietary diversity of rural left-behind family members by increasing the level of family income, Internet accessibility, and family education. Heterogeneity analysis shows that non-farm employment does not enhance the dietary diversity of rural empty nesters and even has a negative impact. This reminds us that the nutritional health of rural empty nesters needs attention in the context of rapid urbanization and aging.
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