Effects of Socio-Economic Factors on Healthy Diets in the Healthy China 2030 Program: A Grey Relational Analysis of Eastern Provinces

Authors

DOI:

https://doi.org/10.17059/ekon.reg.2025-3-23

Keywords:

Healthy China 2030, Eastern China, consumption tax, grey relation model, analysis of influencing factors

Abstract

The Healthy China 2030 strategy explicitly calls for integrating health considerations into all policies and promotes a shift toward healthier diets across the entire Chinese population through cross-sectoral institutional collaboration. This paper uses Grey Relational Analysis (GRA) to examine the correlation between per capita consumption of vegetables and edible fungi, which is used as an indicator of healthy living, in eastern China and several influencing factors: consumption tax policies, education levels, economic development, and income levels. The analysis reveals that the retail price index for beverages, tobacco, and alcohol, which reflects the impact of consumption tax policies, has the strongest correlation (r₁ = 0.8113). This suggests that price increases in tobacco and alcohol significantly influence healthier food consumption through a crowding-out effect. The second-highest correlation is with the number of students enrolled in regular higher education institutions (r₃ = 0.7930), indicating that educational attainment fosters healthier behavioural choices via knowledge diffusion and social network spillovers. In contrast, per capita regional GDP (r₄ = 0.5579) and per capita disposable income (r₂ = 0.5512) show weaker correlations. This may point to diminishing marginal utility and structural imbalances in healthy consumption within more economically developed areas. Overall, the study highlights the leverage of consumption tax instruments in advancing public health goals and proposes a three-pronged governance framework—tax system optimization, education empowerment, and policy coordination—as a theoretical foundation for the regional implementation of the Healthy China strategy.

Author Biographies

Gao Hongjie , Ural Federal University named after the first President of Russia B. N. Yeltsin

PhD candidate of Economics, Department of Financial and Tax Management, https://orcid.org/0009-0007-2664-9552; (19 Mira St., 620002, Yekaterinburg, Russian Federation, e-mail: ghj19950920@163.com);

Igor A. Mayburov , Ural Federal University named the first President of Russia B. N. Yeltsin

Doctor of Economics, Professor, Head of the Department of Financial and Tax Management, Ural Federal University named the first President of Russia B. N. Yeltsin (19 Mira St., 620002, Yekaterinburg, Russian Federation); Chief Researcher, Institute for Research of Social and Economic Changes and Financial Policy, Financial University under the Government of the Russian Federation, https://orcid.org/0000-0001-8791-665X; (Leningradsky Prospekt, 49/2, 125167, Moscow, Russian Federation;  e-mail: mayburov.home@gmail.com)

Ye Chenghao , Ural Federal University named after the first President of Russia B. N. Yeltsin

— PhD candidate of Economics, Department of Financial and Tax Management (19 Mira St., 620002, Yekaterinburg, Russian Federation); ORCID: https://orcid.org/0009-0005-3273-8119 ; e-mail: 2287532085@qq.com

References

Aguilar, A., Gutierrez, E., & Seira, E. (2021). The effectiveness of sin food taxes: evidence from Mexico. Journal of Health Economics, 77, 102455. https://doi.org/10.1016/j.jhealeco.2021.102455

Arena, R., Myers, J., Kaminsky, L. A., Williams, M., Sabbahi, A., Popovic, D., ... & Lavie, C. J. (2021). Current activities centered on healthy living and recommendations for the future: a position statement from the HL-PIVOT network. Current Problems in Cardiology, 46(6), 100823. https://doi.org/10.1016/j.cpcardiol.2021.100823

Bonnet, C., & Réquillart, V. (2013). Tax incidence with strategic firms in the soft drink market. Journal of Public Economics, 106, 77-88. https://doi.org/10.1016/j.jpubeco.2013.06.010

Bonnet, C., & Réquillart, V. (2023). The effects of taxation on the individual consumption of sugar-sweetened beverages. Economics & Human Biology, 51, 101277. https://doi.org/10.1016/j.ehb.2023.101277

Clodoveo, M. L., Tarsitano, E., Crupi, P., Pasculli, L., Piscitelli, P., Miani, A., & Corbo, F. (2022). Towards a new food labelling system for sustainable food production and healthy responsible consumption: The Med Index Checklist. Journal of Functional Foods, 98, 105277. https://doi.org/10.1016/j.jff.2022.105277

Cutler, D. M., & Lleras-Muney, A. (2010). Understanding differences in health behaviors by education. Journal of Health Economics, 29(1), 1-28. https://doi.org/10.1016/j.jhealeco.2009.10.003

Easterlin, R. A. (1974). Does economic growth improve the human lot? Some empirical evidence. In Nations and households in economic growth (pp. 89-125). Academic press. https://doi.org/10.1016/B978-0-12-205050-3.50008-7

Gruber, J., & Köszegi, B. (2001). Is addiction “rational”? Theory and evidence. The Quarterly Journal of Economics, 116(4), 1261–1303. https://doi.org/10.1162/003355301753265570

Härkänen, T., Kotakorpi, K., Pietinen, P., Pirttilä, J., Reinivuo, H., & Suoniemi, I. (2014). The welfare effects of health-based food tax policy. Food Policy, 49, 196-206. https://doi.org/10.1016/j.foodpol.2014.07.001

Hoek, J., & Smith, K. (2016). A qualitative analysis of low income smokers’ responses to tobacco excise tax increases. International Journal of Drug Policy, 37, 82-89. https://doi.org/10.1016/j.drugpo.2016.08.010

Iadrennikova E. V., Leontyeva Yu. V. & Mayburov I. A. (2018). Analysis of and Improvements of Excise Taxation on Beer in Russia. Journal of Tax Reform, 4(2), 142-156. http://dx.doi.org/10.15826/jtr.2018.4.2.049

Juhl, H. J., & Jensen, M. B. (2014). Relative price changes as a tool to stimulate more healthy food choices–A Danish household panel study. Food Policy, 46, 178-182. https://doi.org/10.1016/j.foodpol.2014.03.008

Kozłowska, K., Szczecińska, A., Roszkowski, W., Brzozowska, A., Alfonso, C., Fjellstrom, C., ... & Food in Later Life Project Team. (2008). Patterns of healthy lifestyle and positive health attitudes in older Europeans. The Journal of Nutrition, Health and Aging, 12(10), 728-733. https://doi.org/10.1007/BF03028621

Kraak, V. I., & Davy, B. M. (2023). Multisectoral strategies needed to establish healthy portion size norms that disincentivize hyperpalatable, energy-dense foods and sugary beverages in food environments linked to obesity and diet-related chronic diseases in the United States. Current Developments in Nutrition, 7(2), 100012. https://doi.org/10.1016/j.cdnut.2022.100012

Le Bodo, Y., Etilé, F., Julia, C., Friant-Perrot, M., Breton, E., Lecocq, S., ... & Jabot, F. (2022). Public health lessons from the French 2012 soda tax and insights on the modifications enacted in 2018. Health policy, 126(7), 585-591. https://doi.org/10.1016/j.healthpol.2022.04.012

Lo, W. C., Hu, T. H., Shih, C. Y., Lin, H. H., & Hwang, J. S. (2024). Impact of healthy lifestyle factors on life expectancy and lifetime health care expenditure: nationwide cohort study. JMIR Public Health and Surveillance, 10(1), e57045. https://doi.org/10.2196/57045

Moonesar, I. A., Al-Alawy, K., & Gaafar, R. (2024). Taxing sugar-sweetened beverages: Knowledge, beliefs and where should the money go?. Heliyon, 10(8). https://doi.org/10.1016/j.heliyon.2024.e28226

Mouafo, P. T., Nkengfack, H., Tchoffo, R. N., Nguepi, N. D., & Domguia, E. N. (2024). Examining the effectiveness of dissuasive taxes as a policy tool for reducing tobacco and alcohol consumption in Cameroon: A welfare and microsimulation analysis. Heliyon, 10(22). https://doi.org/10.1016/j.heliyon.2024.e40174

Mulderij, L. S., Hernández, J. I., Mouter, N., Verkooijen, K. T., & Wagemakers, A. (2021). Citizen preferences regarding the public funding of projects promoting a healthy body weight among people with a low income. Social Science & Medicine, 280, 114015. https://doi.org/10.1016/j.socscimed.2021.114015

Nederkoorn, C., Havermans, R. C., Giesen, J. C., & Jansen, A. (2011). High tax on high energy dense foods and its effects on the purchase of calories in a supermarket. An experiment. Appetite, 56(3), 760-765. https://doi.org/10.1016/j.appet.2011.03.002

Niebylski, M. L., Redburn, K. A., Duhaney, T., & Campbell, N. R. (2015). Healthy food subsidies and unhealthy food taxation: A systematic review of the evidence. Nutrition, 31(6), 787-795. https://doi.org/10.1016/j.nut.2014.12.010

Nucci, L. B., Rinaldi, A. E. M., Ramos, A. F., Itria, A., & Enes, C. C. (2022). Impact of a reduction in sugar-sweetened beverage consumption on the burden of type 2 diabetes in Brazil: a modeling study. Diabetes Research and Clinical Practice, 192, 110087. https://doi.org/10.1016/j.diabres.2022.110087

Pineda, E., Poelman, M. P., Aaspõllu, A., Bica, M., Bouzas, C., Carrano, E., ... & Vandevijvere, S. (2022). Policy implementation and priorities to create healthy food environments using the Healthy Food Environment Policy Index (Food-EPI): A pooled level analysis across eleven European countries. The Lancet Regional Health–Europe, 23. https://doi.org/10.1016/j.lanepe.2022.100522

Rahman, M. M., Deb, B. C., Hasan, M. J., Alam, M.M., Begum, T., Mahmud, H. M., ... & Rahman, M. S. (2023). Does higher tax rate affect tobacco usage? Unravelling the nexus between tobacco regulatory control and public health concern. Global Health Journal, 7(4), 212-221. https://doi.org/10.1016/j.glohj.2023.12.002

Reeve, B., Thow, A. M., Baker, P., Hresc, J., & May, S. (2020). The role of Australian local governments in creating a healthy food environment: an analysis of policy documents from six Sydney local governments. Australian and New Zealand Journal of Public Health, 44(2), 137-144. https://doi.org/10.1111/1753–6405.12968

Réquillart, V., Soler, L. G., & Zang, Y. (2016). Quality standards versus nutritional taxes: Health and welfare impacts with strategic firms. Journal of Health Economics, 50, 268-285. https://doi.org/10.1016/j.jhealeco.2016.09.003

Sarjana S. P. & Adrison V. (2024). The Impact of Multi-Tiered Specific Excise Tax Systems on the Creation of New Tobacco Brands in Indonesia: Public Health Implications. Journal of Tax Reform, 10(2), 397–416. https://doi.org/10.15826/jtr.2024.10.2.175

Sun, X., Yon, D. K., Nguyen, T. T., Tanisawa, K., Son, K., Zhang, L., ... & Wang, Y. (2024). Dietary and other lifestyle factors and their influence on non-communicable diseases in the Western Pacific region. The Lancet Regional Health–Western Pacific, 43. https://doi.org/10.1016/j.lanwpc.2023.100842

Wang, C., Wang, R., Fei, X., & Li, L. (2024). Price effects of residents’ consumption carbon emissions: Evidence from rural and urban China. Energy Economics, 107662. https://doi.org/10.1016/j.eneco.2024.107662

Yaniv, G., Rosin, O., & Tobol, Y. (2009). Junk-food, home cooking, physical activity and obesity: The effect of the fat tax and the thin subsidy. Journal of Public Economics, 93(5-6), 823-830. https://doi.org/10.1016/j.jpubeco.2009.02.004

Yin M.-S. (2013). Fifteen years of grey system theory research: A historical review and bibliometric analysis. Expert Systems with Applications, 40(7), 2767–2775. https://doi.org/10.1016/j.eswa.2012.11.002

Downloads

Published

04.09.2025

How to Cite

Hongjie , G. ., Mayburov, I. A. ., & Chenghao, Y. (2025). Effects of Socio-Economic Factors on Healthy Diets in the Healthy China 2030 Program: A Grey Relational Analysis of Eastern Provinces. Economy of Regions, 21(3), 902–914. https://doi.org/10.17059/ekon.reg.2025-3-23

Issue

Section

Social and Demographic Development