Page 377 - Contributed Paper Session (CPS) - Volume 6

CPS1989 Yuan Zhenqiang et al.
There are different units of measurement and orders of magnitude of every
statistical indicator in statistical index system of high-quality development.
Thus, every indicator needs to be nondimensionalized when doing
comprehensive measurement with index, so as to make every indicator turn
into dimensionless value with complete comparability. Common treatment
as a measure of the same factors includes relative treatment, standard
treatment and efficacy coefficient method. Of these, standard treatment
and efficacy coefficient method mainly focus on crosswise comparison
evaluation, yet, this study primarily reflect lengthwise development trend,
so we choose relative treatment method to calculate index value.
single index value in report period 1
Single index (positive indicator) = single index value in base period

0
single index value in base period 0
Single index (negative indicator) = single index value in report period

1
4.2 Weight Definition
Frequently-used weight definition methods include Delphi Method,
Analytic Hierarchy Process, Coefficient of Variation Method, Multi-
correlation Coefficient Method and The Entropy Method, among which the
first two may be affected by subjective factors, while the latter three need
plenty of samples to define accurate data model. Five aspects of the new
development concept play the same significant role in promoting
economic and social development, so they need to be weighted in a
balanced way. Since the final efficiency of high-quality development is
reflected by development achievements, the weight of development
achievement indicator should be higher than other first-tier indicators. Six
primary indicator weight are set up by taking consideration of these factors
and following the principles of focusing on clear priorities over
development achievements and balancing five development sectors.
Further, we will apply equal-weighted assignment method towards
secondary indicators under the primary indicators in order to reflect the
same significance of several high-quality development indicators.
4.3 Comprehensive Index Measurement
The principle of “average index method” is applied to define
comprehensive index. The calculating procedures are as follows: firstly,
calculate indexes of single indicator; then, treat these indexes (or sectorial
indexes) in a way of weighted average. The calculation formula is:
 k  w
k  i i
 w i

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