TY - JOUR
T1 - In search of China’s income-health gradient
T2 - a biomarker-based analysis
AU - Nie, Peng
AU - Li, Qing
AU - Cohen, Alan A.
AU - Sousa-Poza, Alfonso
N1 - Publisher Copyright:
© 2021 Informa UK Limited, trading as Taylor & Francis Group.
PY - 2021
Y1 - 2021
N2 - Using data from the 1991–2009 China Health and Nutrition Survey, this study investigates China’s income-health gradient by analysing the effect of both current and long-term household income on 22 blood-based biomarkers, 4 used as individual variables and all 22 assessed as a composite. We employ estimation approaches that allow for analysis ‘beyond the mean’ and accounting for individual-specific unobserved heterogeneity. After applying a two-step residual inclusion estimator, we find limited evidence of an income-health gradient irrespective of whether the income measure is current or long term. Because risky behaviour may attenuate income’s positive effects on health, we also analyse the associations between income and such health-influencing factors as alcohol consumption, smoking, diet, physical activity, and dietary knowledge. Although we find that higher incomes go hand-in-hand with some of these factors (in particular, a higher number of cigarettes smoked per day), they also promote poorer diets. However, the fact that these effects are small, dependent on income measure, and susceptible to reporting biases makes it unlikely that they are attenuating income’s potentially positive effects on health. Our findings highlight the importance of considering more accurate measures of health in assessing income-health gradients in future research.
AB - Using data from the 1991–2009 China Health and Nutrition Survey, this study investigates China’s income-health gradient by analysing the effect of both current and long-term household income on 22 blood-based biomarkers, 4 used as individual variables and all 22 assessed as a composite. We employ estimation approaches that allow for analysis ‘beyond the mean’ and accounting for individual-specific unobserved heterogeneity. After applying a two-step residual inclusion estimator, we find limited evidence of an income-health gradient irrespective of whether the income measure is current or long term. Because risky behaviour may attenuate income’s positive effects on health, we also analyse the associations between income and such health-influencing factors as alcohol consumption, smoking, diet, physical activity, and dietary knowledge. Although we find that higher incomes go hand-in-hand with some of these factors (in particular, a higher number of cigarettes smoked per day), they also promote poorer diets. However, the fact that these effects are small, dependent on income measure, and susceptible to reporting biases makes it unlikely that they are attenuating income’s potentially positive effects on health. Our findings highlight the importance of considering more accurate measures of health in assessing income-health gradients in future research.
KW - China
KW - biomarkers
KW - income-health gradient
KW - measuring health
UR - https://www.scopus.com/pages/publications/85107537020
U2 - 10.1080/00036846.2021.1927962
DO - 10.1080/00036846.2021.1927962
M3 - 文章
AN - SCOPUS:85107537020
SN - 0003-6846
VL - 53
SP - 5599
EP - 5618
JO - Applied Economics
JF - Applied Economics
IS - 48
ER -