Exploring the association between agricultural production systems and household diets in Viet Nam

Autor: Arkadeep Bandyopadhyay, Carlo Azzarri, Beliyou Haile, Chungmann Kim, Cristina Alvarez, Ana Moltedo, Abdul Sattar, Winnie Bell, Beatrice L. Rogers
Rok vydání: 2022
Předmět:
Zdroj: Food Security. 14:1207-1226
ISSN: 1876-4525
1876-4517
DOI: 10.1007/s12571-022-01276-x
Popis: The government of Viet Nam promotes an integrated and diversified production system that focuses on the symbiotic relationship of livestock, aquaculture, and fruits and vegetables (F&V), locally known as Vuon Ao Chuong (VAC). The expectation is that this system can prevent soil degradation, while improving dietary quality and income. This study examines the correlation between VAC production systems and diets using cross-sectional data from the 2016 round of the Viet Nam Household Living Standards Survey (VHLSS). Using ordinary least squares, we model four continuous outcome variables related to quantity consumed of fruits and vegetables, fiber, animal protein, and dietary energy; while using logistical regression, we model three indicator variables related to whether diets are balanced in terms of intake of dietary energy derived from carbohydrates, proteins, and fats. While individual components of VAC, such as aquaculture or F&V production, show a positive correlation with one or more dietary indicators, adoption of the full VAC system is found to be positively correlated only with dietary fiber consumption, making it challenging to establish a causal link between system adoption and improved dietary quality. However, we find that several socioeconomic variables, such as access to markets, household wealth, education of the household members, and household size are positively associated with one or more dietary indicators. Further research is needed to establish strong and causal relationships, or lack thereof, between VAC system and diets by exploiting the panel structure of VHLSS to examine the role of VAC in improving nutritional outcomes in Viet Nam.
Databáze: OpenAIRE
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