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Impact of socioeconomic factors on nutritional diet in Vietnam from 2004 to 2014: new insights using compositional data analysis

Author

Listed:
  • Morais, Joanna
  • Trinh, Thi-Huong
Abstract
This paper contributes to the analysis of the impact of socioeconomic factors, like food expenditure level and urbanization, on diet patterns in Vietnam, from 2004 to 2014. Contrary to the existing literature, we focus on the diet balance in terms of macronutrients consumption (protein, fat and carbohydrate) and we take into account the fact that the volumes of each macronutrient are not independent. In other words, we are interested in the shares of each macronutrient in the total calorie intake. We use the compositional data analysis (CODA) to describe the evolution of diet patterns over time, and to model the impact of household characteristics on the macronutrient shares vector. We compute food expenditure elasticities of macronutrient shares, and we compare them to classical elasticities for macronutrient volumes and total calorie intake. The compositional model highlights the important role of food expenditure, size of the household and dwelling region in the determination of diet choices. Our results are consistent with the rest of the literature, but they have the advantage to highlight the substitution effects between macronutrients in the context of nutrition transition.

Suggested Citation

  • Morais, Joanna & Trinh, Thi-Huong, 2017. "Impact of socioeconomic factors on nutritional diet in Vietnam from 2004 to 2014: new insights using compositional data analysis," TSE Working Papers 17-825, Toulouse School of Economics (TSE).
    • Handle: RePEc:tse:wpaper:31800
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    References listed on IDEAS

    as
    1. Jean-Pierre Cling & Mireille Razafindrakoto & Francois Roubaud, 2010. "Assessing the Potential Impact of the Global Crisis on the Labour Market and the Informal Sector in Vietnam," Working Papers 05, Development and Policies Research Center (DEPOCEN), Vietnam.
    2. Morais, Joanna & Thomas-Agnan, Christine & Simioni, Michel, 2017. "Interpreting the impact of explanatory variables in compositional models," TSE Working Papers 17-805, Toulouse School of Economics (TSE).
    3. You, Jing & Imai, Katsushi S. & Gaiha, Raghav, 2016. "Declining Nutrient Intake in a Growing China: Does Household Heterogeneity Matter?," World Development, Elsevier, vol. 77(C), pages 171-191.
    4. Dwayne Benjamin & Loren Brandt & Brian McCaig, 2017. "Growth with equity: income inequality in Vietnam, 2002–14," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 15(1), pages 25-46, March.
    5. Thi Huong Trinh & Michel Simioni & Christine Thomas-Agnan, 2017. "A new perspective on the relationship between calorie intake and income in China and Vietnam using semiparametric modeling," Post-Print hal-01612487, HAL.
    6. Santeramo, Fabio Gaetano & Shabnam, Nadia, 2015. "The income-elasticity of calories, macro and micro nutrients: What is the literature telling us?," MPRA Paper 63754, University Library of Munich, Germany.
    7. Morais, Joanna & Simioni, Michel & Thomas-Agnan, Christine, 2016. "A tour of regression models for explaining shares," TSE Working Papers 16-742, Toulouse School of Economics (TSE).
    8. Vinod Mishra & Ranjan Ray, 2009. "Dietary Diversity, Food Security and Undernourishment: The Vietnamese Evidence," Asian Economic Journal, East Asian Economic Association, vol. 23(2), pages 225-247, June.
    9. Ogundari, Kolawole & Abdulai, Awudu, 2013. "Examining the heterogeneity in calorie–income elasticities: A meta-analysis," Food Policy, Elsevier, vol. 40(C), pages 119-128.
    10. Miina Porkka & Matti Kummu & Stefan Siebert & Olli Varis, 2013. "From Food Insufficiency towards Trade Dependency: A Historical Analysis of Global Food Availability," PLOS ONE, Public Library of Science, vol. 8(12), pages 1-12, December.
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    More about this item

    Keywords

    Macronutrient shares; diet pattern; compositional regression models; expenditure elasticity; Vietnam;
    All these keywords.

    JEL classification:

    • C02 - Mathematical and Quantitative Methods - - General - - - Mathematical Economics
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • P46 - Political Economy and Comparative Economic Systems - - Other Economic Systems - - - Consumer Economics; Health; Education and Training; Welfare, Income, Wealth, and Poverty

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