BRIEF
INTRODUCTION
I. The data in
this chapter show the conditions of China’s people’s livelihood, including
employment, income and expenditure of the residents, housing , possession of
durable consumer goods, culture, education, health care and household
facilities.
II. The data on
the livelihood of the urban residents in this chapter come from the data
collected by the sample survey on the urban households. The main content of the
survey includes the population in the household and its composition, the cash
income and expenditure of the household, the quantity of major commodities
purchased and the expenditure for them, the employment of the household
members, the housing condition and the ownership of the durable consumer goods.
The survey on the
urban households is organized by the Urban Socio-economic Survey Organization,
NBS. The urban socio-economic survey organizations of the provinces, autonomous
regions and municipalities directly under the central government as well as the
urban socio-economic survey organizations of the selected cities and counties
collect the data in accordance with the survey scheme stipulated by NBS and
report them to the higher organization.
The survey on the
urban households is conducted in such a way that the selected households by
sampling method should keep accounts for successive three years and be
interviewed by the enumerators. By a rotation sampling scheme, one third of the
old sample households should be replaced by the new sample households every
year. The respondent households are selected by the two-stage stratified
systematic random sampling scheme.
At the first
stage, the cities and counties are firstly classified into 5 categories by
their population size, namely the particularly large cities, large cities,
medium-sized cities, small cities and counties. Secondly, they are grouped into
the 6 administrative regions (northeastern region, north region, eastern
region, central region, northwestern region and southwestern region). In each
administrative region, the cities and counties are arranged in the order of the
average wages of their staff and workers in the urban areas. Thirdly, the
number of the staff and workers of the cities are accumulated and the sample
cities or counties are selected by a systematic sampling scheme; the sampling
interval is one million staff and workers.
At the second
stage, the sample households are selected by the multi-stage and two-phase
sampling scheme. In the particularly large and large cities, the first phase
sample is selected by three-stage sampling method: Firstly, the sample
sub-districts are selected; Secondly, the sample residents committees are
selected from the sample sub-districts; Thirdly, the sample households are
selected from the sample residents committees. In the medium-sized and small
cities and counties, the first phase sample is selected by two-stage sampling
method: Firstly, the sample residents committees are directly selected;
Secondly, the sample households are selected from the sample residents
committees. The second phase sample is composed of the sample households which
are surveyed in a regular way and these households are selected with stratified
sampling method from the households in the first phase sample.
In total, 25,000
households in 226 cities and countries are selected by the National Bureau of
Statistics in the above-mentioned
way. Additional samples are selected by local statistical offices by the same
sample design, making the total sample size to reach 40,000 households.
III. The data on
the livelihood of the rural residents come mainly from the data collected by
the sample survey on the rural households, which is organized by the Rural
Socio-economic Survey Organization, NBS. The main content of the survey
includes the basic condition of the rural households, the per capita total
income and net income, the expenditure for the residential consumption, the
consumption of major consumer goods and the quantity of durable consumer goods
owned.
The
sample survey on the rural households is conducted by first selecting sample
villages and then selecting households in the selected villages in each
province, will all rural households in the province as the population. A
combination of multi-stage, stratified, systematic sampling approaches is used
to identify a total of 68,000 households are selected from 7,100 villages
throughout the whole country.
It is required
that the sampling error should not exceed to +0.3%, with confidence of
probability as 95%. In order to ensure the accuracy of the data of the survey on
the rural households, two accounts are designed for the respondent households
by the Rural Socio-economic Survey Organization, NBS, the cash account and the
account on goods in kind. Nearly 10 thousand assistant enumerators have been
invited to help the households to keep good accounts and check and tabulate the
data of the survey.
In order to
overcome the boring feeling of the respondent households and solve the problem
of aging samples to make the sample more representative of the population and
able to reflect the rural social and economic situation more accurately and
timely, a rotation sampling scheme is implemented by the Rural Socio-economic
Survey Organization, NBS in selecting the rural sample households, with the
cycle of complete rotation being 5 years.