18th International Conference on Innovative Computing, Information and Control (ICICIC2024)
Onsite (Qinhuangdao, China) and Online, September 10-13, 2024

PS-3: ICICIC2024-WS05-02
Analysis of the Evolution of the High-Quality Development of China’s Service Industry:
Empirical Evidence Based on 15 Sub-Provincial Cities
Lu Liu, Shuang Wang* and Yurong Luo
School of Economics and Management (School of Tourism), Dalian University, Dalian 116622, P. R. China
Liulu11stella@163.com; *Corresponding author: wangshuang@dlu.edu.cn

Introduction
Since the reform and opening-up, China’s
service industry has made a historic leap forward. Not
only has its scale continued to expand, but its
contribution to economic growth has also increased
year by year. However, compared with developed
countries, China’s service industry still has a large
gap in terms of service quality, industrial scale, andscientific and technological level, and faces many
challenges to high-quality development. General
Secretary Xi Jinping emphasized in the report of the20th Party Congress that “high-quality development is
the primary task of comprehensively building amodern socialist country”. Combined with thisbackground, the scientific construction of China’s
service industry high-quality development indexsystem, objectively analyze the evolution trend, solve
the problems in the development of a morecomprehensive grasp of the real situation of thedevelopment of the service industry in the
sub-provincial cities, to create a new pattern of
high-quality development of the service industry, andto promote the coordinated development of the region
is of great theoretical and practical significance.

Mathematical Formulas
Standardized treatment:

The formula for ej is

The formula for wj is

Composite index:

The Kernel density estimation method:

FiguresMethodologies

Figure 1. Value added of services in 15 sub-provincial
cities in 2022

Figure 2. Number of new entrants to the service sector
in 15 sub-provincial cities, 2013-2022

Entropy weight method: Entropy weight method isa method of objective assignment of decision-making
indicators, and can effectively overcome the influenceof subjective factors on the evaluation system, so thatthe evaluation results are more objective and reliable.
Kernel density estimation: The Kernel density
estimation method is capable of estimating theprobability density of a random variable and describing
its distributional pattern with a continuous density
profile, which is highly stable.

18th International Conference on Innovative Computing, Information and Control (ICICIC2024)
Onsite (Qinhuangdao, China) and Online, September 10-13, 2024

FiguresFigure 3. Degree of service industry agglomeration in 15
sub-provincial cities, 2013-2022

Figure 4. High-quality development trend of China’s
service industry from 2013 to 2022

Figure 5. Evolution of high-quality services development
in four geographic regions

Figure 6. Characteristics of the dynamic evolution ofhigh-quality development of the service sector in four
geographic regions

Conclusion
First, the overall level of high-quality developmentof China’s service industry is not high, but is on a slow
upward trend. From the perspective of the country as awhole, the average value of the high-quality
development level of China’s service industry from2013 to 2022 increased from 0.222 to 0.618, with alarge improvement.
From the perspective of the four major
geographical regions, the region with the highest levelof high-quality development of the service industry is
the Northeastern region, followed by the Easternregion.
The results of the second kernel density estimation
show that the level of high-quality development of theservice industry in the country as a whole and in thefour major geographic regions has experienced smallfluctuations. The level of high-quality development of
the service industry in the central region has risenrelatively quickly, while the western region has risenrelatively slowly. The absolute differences in thehigh-quality development of the service industry in thecentral region have widened slightly, while the absolutedifferences in the high-quality development of theservice industry in other regions have not changed
much or have narrowed. At the same time, there is no
obvious polarization in the level of high-quality
development of the service industry in the country as awhole and in each region.