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Socio-Economic Inequalities in Tobacco Consumption of the Older Adults in China: A Decomposition Method

Author

Listed:
  • Si, Yafei

    (University of Melbourne)

  • Zhou, Zhongliang

    (Xi’an Jiaotong University)

  • Su, Min

    (Inner Mongolia University)

  • Wang, Xiao

    (Carnegie Mellon University)

  • Li, Dan

    (Xi’an Jiaotong University)

  • Wang, Dan

    (Ontario Tech University)

  • He, Shuyi

    (Xi’an Jiaotong Liverpool University)

  • Hong, Zihan

    (Xi’an Jiaotong Liverpool University)

  • Chen, Xi

    (Yale University)

Abstract

In China, tobacco consumption is a leading risk factor for non-communicable diseases, and understanding the pattern of socio-economic inequalities of tobacco consumption will, thus, help to develop targeted policies of public health control. Data came from the China Health and Retirement Longitudinal Study in 2013, involving 17,663 respondents aged 45 and above. Tobacco use prevalence and tobacco use quantities were defined for further analysis. Using the concentration index (CI) and its decomposition, socio-economic inequalities of tobacco consumption grouped by gender were estimated. The concentration index of tobacco use prevalence was 0.044 (men 0.041; women −0.039). The concentration index of tobacco use quantities among smokers was 0.039 (men 0.033; women 0.038). The majority of the inequality could be explained by educational attainment, age, area, and economic quantiles. Tobacco consumption was more common among richer compared to poorer people in China. Gender, educational attainments, age, areas, and economic quantiles were strong predictors of tobacco consumption in China. Public health policies need to be targeted towards men in higher economic quantiles with lower educational attainment, and divorced or widowed women, especially in urban areas of China.

Suggested Citation

  • Si, Yafei & Zhou, Zhongliang & Su, Min & Wang, Xiao & Li, Dan & Wang, Dan & He, Shuyi & Hong, Zihan & Chen, Xi, 2018. "Socio-Economic Inequalities in Tobacco Consumption of the Older Adults in China: A Decomposition Method," IZA Discussion Papers 11708, IZA Network @ LISER.
    • Handle: RePEc:iza:izadps:dp11708
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    References listed on IDEAS

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    1. Bruce D. Meyer & James X. Sullivan, 2003. "Measuring the Well-Being of the Poor Using Income and Consumption," NBER Working Papers 9760, National Bureau of Economic Research, Inc.
    2. repec:wbk:wbpubs:6896 is not listed on IDEAS
    3. Adam Wagstaff, 2005. "The bounds of the concentration index when the variable of interest is binary, with an application to immunization inequality," Health Economics, John Wiley & Sons, Ltd., vol. 14(4), pages 429-432, April.
    4. Liran Einav & Amy Finkelstein & Stephen P. Ryan & Paul Schrimpf & Mark R. Cullen, 2013. "Selection on Moral Hazard in Health Insurance," American Economic Review, American Economic Association, vol. 103(1), pages 178-219, February.
    5. Cutler, David M. & Lleras-Muney, Adriana, 2010. "Understanding differences in health behaviors by education," Journal of Health Economics, Elsevier, vol. 29(1), pages 1-28, January.
    6. Fred Pampel & Justin Denney, 2011. "Cross-National Sources of Health Inequality: Education and Tobacco Use in the World Health Survey," Demography, Springer;Population Association of America (PAA), vol. 48(2), pages 653-674, May.
    7. Thomas Bauer & Silja Göhlmann & Mathias Sinning, 2007. "Gender differences in smoking behavior," Health Economics, John Wiley & Sons, Ltd., vol. 16(9), pages 895-909, September.
    8. Balia, Silvia & Jones, Andrew M., 2008. "Mortality, lifestyle and socio-economic status," Journal of Health Economics, Elsevier, vol. 27(1), pages 1-26, January.
    9. Kakwani, Nanak & Wagstaff, Adam & van Doorslaer, Eddy, 1997. "Socioeconomic inequalities in health: Measurement, computation, and statistical inference," Journal of Econometrics, Elsevier, vol. 77(1), pages 87-103, March.
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    Cited by:

    1. Nigar Nargis & Rong Zheng & Steve S. Xu & Geoffrey T. Fong & Guoze Feng & Yuan Jiang & Yang Wang & Xiao Hu, 2019. "Cigarette Affordability in China, 2006–2015: Findings from International Tobacco Control China Surveys," IJERPH, MDPI, vol. 16(7), pages 1-21, April.
    2. Han Hu & Yafei Si & Bingqin Li, 2020. "Decomposing Inequality in Long-Term Care Need Among Older Adults with Chronic Diseases in China: A Life Course Perspective," IJERPH, MDPI, vol. 17(7), pages 1-14, April.
    3. Chengbo Li & Chun Long & Mei Zhang & Luyu Zhang & Mengyao Liu & Meiqi Song & Yunfei Cheng & Gong Chen, 2022. "The Influence of Alcohol Consumption on Tobacco Use among Urban Older Adults: Evidence from Western China in 2017," Sustainability, MDPI, vol. 14(13), pages 1-14, June.
    4. Aristides Dos Santos, Anderson Moreira & Triaca, Lívia Madeira & Leivas, Pedro Henrique Soares, 2023. "How is smoking distributed in relation to socioeconomic status? Evidence from Brazil in the years 2013 and 2019," Economics & Human Biology, Elsevier, vol. 49(C).

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    JEL classification:

    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior
    • I14 - Health, Education, and Welfare - - Health - - - Health and Inequality
    • J14 - Labor and Demographic Economics - - Demographic Economics - - - Economics of the Elderly; Economics of the Handicapped; Non-Labor Market Discrimination

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