IDEAS home Printed from https://ideas.repec.org/p/tse/wpaper/31800.html
   My bibliography  Save this paper

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
    as

    Download full text from publisher

    File URL: https://www.tse-fr.eu/sites/default/files/TSE/documents/doc/wp/2017/wp_tse_825.pdf
    File Function: Full text
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. 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).
    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. 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).
    6. 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.
    7. 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.
    8. Ogundari, Kolawole & Abdulai, Awudu, 2013. "Examining the heterogeneity in calorie–income elasticities: A meta-analysis," Food Policy, Elsevier, vol. 40(C), pages 119-128.
    9. 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.
    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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Trinh Thi, Huong & Simioni, Michel & Thomas-Agnan, Christine, 2018. "Assessing the nonlinearity of the calorie-income relationship: An estimation strategy – With new insights on nutritional transition in Vietnam," World Development, Elsevier, vol. 110(C), pages 192-204.
    2. Femenia, Fabienne, 2019. "A Meta-Analysis of the Price and Income Elasticities of Food Demand," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 68(2), June.
    3. Jumrani, Jaya, 2023. "How responsive are nutrients in India? Some recent evidence," Food Policy, Elsevier, vol. 114(C).
    4. Hamidou Jawara & Rainer Thiele, 2021. "The Nutrient-Income Elasticity in Ultra-Poor Households: Evidence from Kenya," The European Journal of Development Research, Palgrave Macmillan;European Association of Development Research and Training Institutes (EADI), vol. 33(6), pages 1795-1819, December.
    5. Jing You & Sangui Wang & Laurence Roope, 2018. "Intertemporal deprivation in rural china: income and nutrition," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 16(1), pages 61-101, March.
    6. Kuhlgatz, Christian H. & Huang, Jiaqi & Antonides, Gerrit & Nie, Fengying, 2018. "The Effect of Food Prices and Own-produced Food on Food Security of Chinese Rural Households," 2018 Annual Meeting, August 5-7, Washington, D.C. 273988, Agricultural and Applied Economics Association.
    7. Kolawole Ogundari & Shoichi Ito & Victor O Okoruwa, 2016. "Estimating nutrition-income elasticities in sub-Saharan Africa: implications on health," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 43(1), pages 59-69, January.
    8. Cao, Juan & Zhang, Zhao & Tao, Fulu & Chen, Yi & Luo, Xiangzhong & Xie, Jun, 2023. "Forecasting global crop yields based on El Nino Southern Oscillation early signals," Agricultural Systems, Elsevier, vol. 205(C).
    9. María Priscila Ramos & Estefanía Custodio & Sofía Jiménez & Alfredo J. Mainar-Causapé & Pierre Boulanger & Emanuele Ferrari, 2022. "Do agri-food market incentives improve food security and nutrition indicators? a microsimulation evaluation for Kenya," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 14(1), pages 209-227, February.
    10. Robert Rogers & Doan Hai Ma & Tra Nguyen & Ngoc Anh Nguyen, 2019. "Early childhood education and cognitive outcomes in adolescence: a longitudinal study from Vietnam," Education Economics, Taylor & Francis Journals, vol. 27(6), pages 658-669, November.
    11. Xavier Oudin & Laure Pasquier-Doumer & Thai Pham Minh & François Roubaud & Dat Vu Hoang, 2014. "Adjustment of the Vietnamese Labour Market in Time of Economic fluctuations and Structural Changes," Working Papers DT/2014/04, DIAL (Développement, Institutions et Mondialisation).
    12. Markussen, Thomas & Sharma, Smriti & Singhal, Saurabh & Tarp, Finn, 2021. "Inequality, institutions and cooperation," European Economic Review, Elsevier, vol. 138(C).
    13. repec:dau:papers:123456789/7477 is not listed on IDEAS
    14. repec:wly:econjl:v::y:2017:i:605:p:f236-f265 is not listed on IDEAS
    15. Phiri, Andrew & Dube, Wisdom, 2014. "Nutrition and economic growth in South Africa: A momentum threshold autoregressive (MTAR) approach," MPRA Paper 52950, University Library of Munich, Germany.
    16. repec:dau:papers:123456789/10758 is not listed on IDEAS
    17. Traverso, Silvio & Schiavo, Stefano, 2020. "Fair trade or trade fair? International food trade and cross-border macronutrient flows," World Development, Elsevier, vol. 132(C).
    18. Trinh Thi, Huong & Simioni, Michel & Thomas-Agnan, Christine, 2018. "Decomposition of changes in the consumption of macronutrients in Vietnam between 2004 and 2014," Economics & Human Biology, Elsevier, vol. 31(C), pages 259-275.
    19. Usman, Muhammed A. & Mekonnen, Daniel A. & Kornher, Lukas & Braun, Joachim Von, 2021. "Effects of Short-Term Food Price Movements on Child Mortality: Evidence from Low- and Middle-Income Countries," 2021 Conference, August 17-31, 2021, Virtual 315112, International Association of Agricultural Economists.
    20. Fabio Gaetano Santeramo & Emilia Lamonaca, 2019. "The Effects of Non‐tariff Measures on Agri‐food Trade: A Review and Meta‐analysis of Empirical Evidence," Journal of Agricultural Economics, Wiley Blackwell, vol. 70(3), pages 595-617, September.
    21. Nguyen, Duy Loi & Nguyen, Binh Giang & Tran, Thi Ha & Vo, Thi Minh Le & Nguyen, Dinh Ngan, 2014. "Employment, Earnings and Social Protection for Female Workers in Vietnam’s Informal Sector," MPRA Paper 61989, University Library of Munich, Germany.
    22. Amita Majumder & Ranjan Ray & Kompal Sinha, 2015. "Estimating Purchasing Power Parities from Household Expenditure Data Using Complete Demand Systems with Application to Living Standards Comparison: India and Vietnam," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 61(2), pages 302-328, June.
    23. Nelson R. Ramírez- Rondán & Marco E. Terrones & Diego Winkelried, 2020. "Equalizing growth: The case of Peru," Working Papers 176, Peruvian Economic Association.

    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

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:tse:wpaper:31800. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/tsetofr.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.