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CPS1858 Wei Gang et al.
online retail sales to the total retail sales of social consumer goods,
the number of smart phones, and Internet finance (the proportion of
added value in the finance industry to GDP).
4. Digital government affairs: the number of government websites, the
online handling rate of administrative licensing, and the online
handling rate of public services.
5. Digital livelihood: digital medical care (person-times of appointments
for treatment), total number of social insurance cards, and coverage
of digital campus construction.
(II) Evaluation method and weight determination of the digital economy
evaluation index system
In this paper, the comprehensive index method is adopted for
evaluation. Since the selected digital economic indexes have different
contributions to the overall goal, the weight of each individual index
needs to be determined before evaluation. The weight is a quantitative
value determined by the degree of influence of each evaluation index
therein on the evaluation system. Since the influences of evaluation
indexes on the overall goal of digital economy development vary, it is very
important to determine the weight scientifically and reasonably. At
present, there are many ways to determine the weight, which can be
roughly divided into two categories: subjective assignment method and
objective assignment method.
In this paper, the entropy method in the objective assignment
method is adopted to determine the weight. The entropy method is to
determine the index weight based on the amount of information provided
by the observed value of each index. It is generally believed that the
entropy method can profoundly reflect the utility value of the entropy
value of index information, and the index weight given thereby has high
credibility.

3. Result
This paper adopts empirical analysis and comparative analysis of relevant
cities to find out the rules and shortcomings of digital economy development
in Qingdao.
(I) Empirical analysis
We analyzed the measured data of Qingdao from 2013 to 2017:
1. Weight analysis of indexes. Among primary indexes, the digital
infrastructure had a maximum weight of 0.3027, which had the
greatest impact on digital economy, followed by industrial
digitalization, digital industrialization, digital government affairs and
digital livelihood in sequence. Among secondary indexes, index
weights such as the growth rate of transaction volume via e-

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