Application of Double Hurdle Model on Effects of Demographics for Tea Consumption in China

Table 1

Variable definitions and sample statistics.

Variable	Definition	Men (n = 5,971)	Women (n = 6,774)
Dependence variable
Cups	Number of cups of tea per day	1.65 (2.45)	0.71 (1.86)
	Consumption of cups of tea (3016 men, 1892 women)	3.28 (2.56)	2.56 (2.77)
Explanatory variable
Age	Age in years	50.79 (15.24)	50.69 (15.48)
Income	Family annual income (10,000 RMB Yuan)	2.12 (3.01)	1.45 (2.17)
Education	Education in years	9.06 (3.88)	7.55 (4.65)
Home size	Family size	—	—
Employed	Is employed (yes = 1, no = 0)	0.67	0.49
East	Resides in eastern China (yes = 1, no = 0)	0.42	0.44
Center	Resides in the center of China (yes = 1, no = 0)	0.32	0.33
West	Resides in western China (reference) (yes = 1, no = 0)	0.26	0.23
City	Resides in city and urban area (yes = 1, no = 0)	0.60	0.59
Rural	Resides in rural area (reference) (yes = 1, no = 0)	0.40	0.41
Old	People above 60 years old living in the home (yes = 1, no = 0)	0.44	0.49

Note: standard deviations are reported in parentheses.