IDEAS home Printed from https://ideas.repec.org/p/ags/iaae15/211375.html
   My bibliography  Save this paper

Nutrition transition in two emerging countries: A comparison between China and Russia

Author

Listed:
  • Burggraf, Christine
  • Kuhn, Lena
  • Zhao, Quiran
  • Teuber, Ramona
  • Glauben, Thomas

Abstract

This study provides empirical evidence on the link between economic growth, nutrition, and health in two emerging economies, China and Russia. Both countries have experienced rising average incomes, accompanied by an increasing rate of nutrition-related chronic diseases in recent years. Thereby, the higher growth rate of the occurrence of obesity in China suggests a certain catching-up effect and tremendously increasing problems with chronic diseases in the longer run, especially in urban areas of China. Further, our results indicate that with increasing household incomes over time the demand for carbohydrates decreases, while the demand for meat and dairy products, as well as fruits increases. This is a development generally known as nutrition transition. Finally, our estimation results of a Quadratic Almost Ideal Demand System (QUAIDS) underscore the finding that income growth in China and Russia tends to increase the demand for animal-based products much stronger than the demand for carbohydrates.

Suggested Citation

  • Burggraf, Christine & Kuhn, Lena & Zhao, Quiran & Teuber, Ramona & Glauben, Thomas, 2015. "Nutrition transition in two emerging countries: A comparison between China and Russia," 2015 Conference, August 9-14, 2015, Milan, Italy 211375, International Association of Agricultural Economists.
  • Handle: RePEc:ags:iaae15:211375
    DOI: 10.22004/ag.econ.211375
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/211375/files/Burggraf-Nutrition%20transition%20in%20two%20emerging%20countries-849.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.211375?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Irina Denisova, 2010. "Adult mortality in Russia," The Economics of Transition, The European Bank for Reconstruction and Development, vol. 18(2), pages 333-363, April.
    2. Rémy Lambert & Bruno Larue & Clément Yélou & George Criner, 2006. "Fish and meat demand in Canada: Regional differences and weak separability," Agribusiness, John Wiley & Sons, Ltd., vol. 22(2), pages 175-199.
    3. Ray, Ranjan, 1985. "Specification and time series estimation of dynamic Gorman Polar Form demand systems," European Economic Review, Elsevier, vol. 27(3), pages 357-374.
    4. Huang, Jikun & Rozelle, Scott, 1998. "Market development and food demand in rural China," China Economic Review, Elsevier, vol. 9(1), pages 25-45.
    5. Vardges Hovhannisyan & Brian W. Gould, 2014. "Structural change in urban Chinese food preferences," Agricultural Economics, International Association of Agricultural Economists, vol. 45(2), pages 159-166, March.
    6. Mazzocchi, Mario & Traill, W. Bruce & Shogren, Jason F., 2009. "Fat Economics: Nutrition, Health, and Economic Policy," OUP Catalogue, Oxford University Press, number 9780199213863, Decembrie.
    7. J. Scott Shonkwiler & Steven T. Yen, 1999. "Two-Step Estimation of a Censored System of Equations," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 81(4), pages 972-982.
    8. Steven Stillman & Duncan Thomas, 2008. "Nutritional Status During an Economic Crisis: Evidence from Russia," Economic Journal, Royal Economic Society, vol. 118(531), pages 1385-1417, August.
    9. Brian W. Gould, 2002. "Household composition and food expenditures in China," Agribusiness, John Wiley & Sons, Ltd., vol. 18(3), pages 387-407.
    10. Elizabeth Brainerd & David M. Cutler, 2005. "Autopsy on an Empire: Understanding Mortality in Russia and the Former Soviet Union," Journal of Economic Perspectives, American Economic Association, vol. 19(1), pages 107-130, Winter.
    11. Harald Tauchmann, 2010. "Consistency of Heckman-type two-step estimators for the multivariate sample-selection model," Applied Economics, Taylor & Francis Journals, vol. 42(30), pages 3895-3902.
    12. Brian P. Poi, 2012. "Easy demand-system estimation with quaids," Stata Journal, StataCorp LP, vol. 12(3), pages 433-446, September.
    13. Liao, Hui & Chern, Wen S., 2007. "A Dynamic Analysis of Food Demand Patterns in Urban China," 2007 Annual Meeting, July 29-August 1, 2007, Portland, Oregon 9770, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    14. Yen, Steven T. & Fang, Cheng & Su, Shew-Jiuan, 2004. "Household food demand in urban China: a censored system approach," Journal of Comparative Economics, Elsevier, vol. 32(3), pages 564-585, September.
    15. Xu Tian & Xiaohua Yu, 2013. "The Demand for Nutrients in China," Frontiers of Economics in China-Selected Publications from Chinese Universities, Higher Education Press, vol. 8(2), pages 186-206, June.
    16. Alain Carpentier & Hervé Guyomard, 2001. "Unconditional Elasticities in Two-Stage Demand Systems: An Approximate Solution," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 83(1), pages 222-229.
    17. Kuo S. Huang & Fred Gale, 2009. "Food demand in China: income, quality, and nutrient effects," China Agricultural Economic Review, Emerald Group Publishing Limited, vol. 1(4), pages 395-409, August.
    18. Bouamra-Mechemache, Zohra & Réquillart, Vincent & Soregaroli, Claudio & Trévisiol, Audrey, 2008. "Demand for dairy products in the EU," Food Policy, Elsevier, vol. 33(6), pages 644-656, December.
    19. Brian W. Gould & Hector J. Villarreal, 2006. "An assessment of the current structure of food demand in urban China," Agricultural Economics, International Association of Agricultural Economists, vol. 34(1), pages 1-16, January.
    20. Harald Tauchmann, 2005. "Efficiency of two-step estimators for censored systems of equations: Shonkwiler and Yen reconsidered," Applied Economics, Taylor & Francis Journals, vol. 37(4), pages 367-374.
    21. Jingjing Wang & Yongfu Chen & Zhihao Zheng & Wei Si, 2014. "Determinants of pork demand by income class in urban western China," China Agricultural Economic Review, Emerald Group Publishing Limited, vol. 6(3), pages 452-469, August.
    22. Abegunde, Dele Olawale & Stanciole, Anderson E., 2008. "The economic impact of chronic diseases: How do households respond to shocks? Evidence from Russia," Social Science & Medicine, Elsevier, vol. 66(11), pages 2296-2307, June.
    23. Matthias Staudigel & Rebecca Schröck, 2015. "Food Demand in Russia: Heterogeneous Consumer Segments over Time," Journal of Agricultural Economics, Wiley Blackwell, vol. 66(3), pages 615-639, September.
    24. Deaton, Angus S & Muellbauer, John, 1980. "An Almost Ideal Demand System," American Economic Review, American Economic Association, vol. 70(3), pages 312-326, June.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Fernando Mata & Maria Dos-Santos & Jack Cocksedge, 2023. "Attitudinal and Behavioural Differences towards Farm Animal Welfare among Consumers in the BRIC Countries and the USA," Sustainability, MDPI, vol. 15(4), pages 1-18, February.

    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. Burggraf, Christine & Kuhn, Lena & Zhao, Qi-ran & Teuber, Ramona & Glauben, Thomas, 2015. "Economic growth and nutrition transition: An empirical analysis comparing demand elasticities for foods in China and Russia," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 14(6), pages 1008-1022.
    2. Burggraf, Christine & Kuhn, Lena & Zhao, Qiran & Glauben, Thomas & Teuber, Ramona, 2014. "Economic growth and nutrition transition: an empirical study comparing demand elasticities for foods in China and Russia," 2014 International Congress, August 26-29, 2014, Ljubljana, Slovenia 182828, European Association of Agricultural Economists.
    3. 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.
    4. Hongbo Liu & Kevin A. Parton & Zhang-Yue Zhou & Rod Cox, 2009. "At-home meat consumption in China: an empirical study ," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 53(4), pages 485-501, October.
    5. Liu, Hongbo & Parton, Kevin A. & Zhou, Zhang-Yue & Cox, Rod, 2009. "At-home meat consumption in China: an empirical study," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 53(4), pages 1-17.
    6. Huang, Wei, 2022. "Demand for plant-based milk and effects of a carbon tax on fresh milk consumption in Sweden," Economic Analysis and Policy, Elsevier, vol. 75(C), pages 518-529.
    7. Hovhannisyan, Vardges, 2016. "New Evidence On The Structure Of Food Demand In China: An Easi Demand Model Estimated Via Panel Data Techniques," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 236889, Agricultural and Applied Economics Association.
    8. Rahbauer, S. & Staudigel, M. & Roosen, J., 2018. "Investigating German meat demand for consumer groups with different attitudes and sociodemographic characteristics," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277058, International Association of Agricultural Economists.
    9. Hovhannisyan, Vardges & Shanoyan, Aleksan, 2018. "An Empirical Analysis Of Welfare Consequences Of Rising Food Prices In Urban China: The Easi Approach," 2018 Annual Meeting, August 5-7, Washington, D.C. 273987, Agricultural and Applied Economics Association.
    10. Andrej Cupák & Peter Tóth, 2017. "Measuring the Efficiency of VAT reforms: Evidence from Slovakia," Working and Discussion Papers WP 6/2017, Research Department, National Bank of Slovakia.
    11. Zhou, De & Yu, Xiaohua & Abler, David & Chen, Danhong, 2020. "Projecting meat and cereals demand for China based on a meta-analysis of income elasticities," China Economic Review, Elsevier, vol. 59(C).
    12. Peter Tóth & Andrej Cupák & Marian Rizov, 2021. "Measuring the efficiency of VAT reforms: a demand system simulation approach," Oxford Economic Papers, Oxford University Press, vol. 73(3), pages 1218-1243.
    13. Vardges Hovhannisyan & Marin Bozic, 2017. "Price Endogeneity and Food Demand in Urban China," Journal of Agricultural Economics, Wiley Blackwell, vol. 68(2), pages 386-406, June.
    14. Geir Gustavsen & Kyrre Rickertsen, 2014. "Consumer cohorts and purchases of nonalcoholic beverages," Empirical Economics, Springer, vol. 46(2), pages 427-449, March.
    15. Javier García-Enríquez & Cruz A. Echevarría, 2018. "Demand for culture in Spain and the 2012 VAT rise," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 42(3), pages 469-506, August.
    16. Xinru Han & Ping Xue & Wenbo Zhu & Xiudong Wang & Guojing Li, 2022. "Shrinking Working-Age Population and Food Demand: Evidence from Rural China," IJERPH, MDPI, vol. 19(21), pages 1-15, November.
    17. Li, Shaoting & Chen, Xuan & Ren, Yanjun & Glauben, Thomas, 2024. "The impact of demographic dynamics on food consumption and its environmental outcomes: Evidence from China," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 23(2), pages 414-429.
    18. Pablo Gálvez & Petr Mariel & David Hoyos, 2016. "Análisis de la demanda residencial de los servicios básicos en España usando un modelo QUAIDS censurado," Estudios de Economia, University of Chile, Department of Economics, vol. 43(1 Year 20), pages 5-28, June.
    19. Ole Boysen, 2016. "Food Demand Characteristics in Uganda: Estimation and Policy Relevance," South African Journal of Economics, Economic Society of South Africa, vol. 84(2), pages 260-293, June.
    20. Fadhuile, Adelaide & Lemarie, Stephane & Pirotte, Alain, 2011. "Pesticides Uses in Crop Production: What Can We Learn from French Farmers Practices?," 2011 Annual Meeting, July 24-26, 2011, Pittsburgh, Pennsylvania 103654, Agricultural and Applied Economics Association.

    More about this item

    Keywords

    Food Consumption/Nutrition/Food Safety; International Development;

    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:ags:iaae15:211375. 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: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/iaaeeea.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.