TITLE:
The Effect of Health-Related Behaviors on Income across Provinces: A Panel Dataset
AUTHORS:
Wingi Chu
KEYWORDS:
Income Factors, Health Status, Health-Related Activities, Province Differences
JOURNAL NAME:
Theoretical Economics Letters,
Vol.12 No.5,
October
27,
2022
ABSTRACT: Although there are already many studies about
how health-related behaviors such as alcohol consumption and physical exercise
impact on earnings, most studies suggested the relation of earnings and each
health-related behavior alone. This study uses longitude data from different
waves to reconfirm, or to reevaluate, the relationship between 5 health-related
behaviors and earnings, and to integrate locations factor into the relationship
between health-related behaviors and earnings. OLS regression analysis is used
to estimate the effects on earnings of various typical health-related behaviors
variables including cigarette, tea, coffee, and alcohol consumption and
physical exercise. In addition, using fixed effect model, the analysis reduces
the bias of the estimation caused by omitted variables to the greatest extent
and indicates the relation of income and other tradition variables such as
occupation and experience. Finally, interaction effect model is used to examine
the disparity between inland and coastal provinces. The results show
that alcohol, tea, and coffee consumption, and adequately physical exercise all have significant positive effects on income. Only
cigarette consumption has a negative association with income. Furthermore, most
health-related behaviors variables do not show the income disparity between
inland and coastal provinces when taking the location variable into interaction
effect model. Health-related behaviors do not contribute more benefits neither
to workers in inland provinces nor those in coastal provinces.