Research on temporal and spatial evolution and influencing factors of
children’s programming attention analysis in China: Empirical analysis
based on Baidu search index
Abstract
Children’s programming is widely aroused people’s concern, is a hotspot
of research on education, the children’s programming attention to
promoting the development of children’s programming education has
important significance. Using Baidu index, elastic coefficient, Gini
index and geographic concentration coefficient, this paper analyzes the
evolution of spatial and temporal distribution and influencing factors
of children’s programming attention in China, and establishes the model
through panel data model and carries out empirical analysis. The results
show that: the public’s attention to children’s programming continues to
rise, and is in a gentle stage of development at the present stage.
Spatial difference of children’s programming attention is opposite
bigger, the eastern region is the most popular children’s programming in
the three regions, followed by the, the western region, the internal
unbalance in east and west region, the central region in balance, and
the central region difference is small, to strengthen the development of
the western region to close the gap and balanced development. Regional
economic development level and education level have a significant impact
on children’s programming attention on the Internet, while educational
funds and education level have a significant impact on children’s
programming attention in eastern and central China. To improve the
development space of children’s programming, we can start from two
aspects: strengthening the creation of characteristic learning fields
for primary school children’s programming, and improving the wide
application of online learning.