Page 222 - Contributed Paper Session (CPS) - Volume 6

CPS1892 Yang Xinhong
Lending service output = 72.417 X (9%-2.49%) =RMB4.714 billion
Interval lower limit: 56.564 X (9%-2.49%) = RMB 3.682billion

Interval upper limit: 88.270.X (9%-2.49%) = RMB 5.746billion
For unincorporated lenders, the intermediate consumption of such
capital lending activities is small. Assuming the added value rate is 95%, then:
Added value = Lending service output x 95% = RMB 4.479 billion
Interval lower limit: 3,682 x 95% = RMB 3.498 billion
Interval upper limit: 5.746 x 95% = RMB 5.459billion
From the financial industry data of Shenzhen, the lending balance at
the end of the 2015 was RMB 3244.904 billion, and the "NOF" amount of
the self-employed households was RMB 72.417 billion, with 2.2% as a ratio
of the two figures. The added value of monetary and financial services in
Shenzhen was RMB 141.192 billion, and the added value of self-employed
households' "NOF" was calculated to be RMB 4.479 billion, with 3.2% as a
ratio of the two figures.

5. Conclusion and Prospect
In this paper, the direct-survey-method is adopted to study the "NOF"
amount of self-employed households in Shenzhen, and the added value of
"NOF" is calculated. The result shows that the total "NOF" amount of the self-
employed households in Shenzhen is RMB 72.417 billion, the interval lower
limit is RMB 56.564 billion, and interval upper limit is RMB 88.27 billion, which
is basically consistent with the data collected by the industry association and
the banking regulatory department The added value of "NOF" of the
Shenzhen's self-employed households was estimated at RMB 4.479 billion by
the FISIM method.
In recent years, with the raising of resident income and the advance of
internet technology, the innovation and production mode of the financial
activities develop with diversification and complication. Since folk loan in
China is expanding, the capital amount of the personal loan activities, as well
as the effect on social financing scale and financial system by personal loan
activities have grown constantly. It is suggested that "NOF" should be
included in the financial activities accounting. Survey of "NOF" should be
carried on, where survey of "NOF" should be further carried out in small,
micro-sized enterprises and households. Surveys of "NOF" activities in small,
micro-sized enterprises and households are supposed to be more complex,
because such economic units are more sensitive to talking about "NOF". As
for the households' "NOF", it is advised to design relevant indicators in the
Urban and Rural Household Survey to conduct a pilot survey to obtain the
proportion and composition of households "NOF". For the purpose of
improving the accuracy of "NOF" interval estimation in Shenzhen, we must
study the stratification characteristics of various economic units further,

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