What are the Effects of Demographic Structures on Housing Consumption?: Evidence from 31 Provinces in China

Table 2

Basic information of research variables.

Variable code	Variable name	Unit	Processing of variable	Definition	Purpose of introduce
HSA	Housing sales area	10000 sqm	Natural logarithm	Annual sales area of commercial housing	To represent housing consumption
HCA	Housing completed area	10000 sqm	Natural logarithm	Annual completed area of commercial housing	To represent housing supply
INCO	Income	Yuan	Natural logarithm	Annual per capita disposable income	Controlled variable
DEPO	Deposit	100 million yuan	Natural logarithm	Year-end balance of resident deposits	Controlled variable
POPU	Total population	10000 people	Natural logarithm	Total population	To represent population size
URBA	Urbanization rate	%	—	Urban population/total population	To represent spatial structure
CDR	Child-age dependency rate	%	—	Population aged 0–14 years/aged 15–64	To represent the age structure
ODR	Old-age dependency rate	%	—	Population aged 65 and above/aged 15–64	To represent the age structure
FS	Family size	Person	—	Number of members per household	To represent the family structure
EDU	Education level	%	—	College degree or above population/total population	To represent education structure
lnDEPO_CDR	Interaction items between CDR and lnDEPO	—	—	—	To study the partial effect of CDR on housing consumption
lnDEPO_ODR	Interaction items between ODR and lnDEPO	—	—	—	To study the partial effect of ODR on housing consumption