Abstract
This research uses Python technology to obtain the daily Baidu index data of 175 groups of relevant vocabulary, such as “education and training” in 31 provinces and cities from 2011 to 2020. Using Baidu search index to construct a data model of “education anxiety” total index and macro variables, it explores the temporal and spatial distribution and regional characteristics of education anxiety in various provinces in China. Research shows that at the regional level, the level of educational anxiety in East China, Central South, and North China is relatively high, and it has further increased over time, and the level of educational anxiety in Southeast, Northeast and Northwest regions is also gradually increasing. At the provincial level: by 2020, 15 provinces will enter the high level of education anxiety, and the level of education anxiety in other provinces will also increase significantly. The fixed effect model found that factors such as provincial GDP, urbanization rate, and education expenditure have statistically significant effects on “education anxiety”. Based on this, policy recommendations for alleviating education anxiety are put forward.
Highlights
People closely associate personal success, family happiness, and social harmony with education
At the provincial level: by 2020, 15 provinces will enter the high level of education anxiety, and the level of education anxiety in other provinces will increase significantly
EA represents the “education anxiety” index as the explained variable; the explanatory variables include the following: GDP represents per capita regional product; urban represents the urbanization rate; price represents the average annual housing price of the city; popu represents the annual average population of each province, As a control variable; Gink represents the provincial education Gini coefficient, used to reflect the degree of wealth balance; spend represents the annual provincial education expenditure, used to reflect the scale of urban education expenditure; graduates represents the number of college graduates
Summary
People closely associate personal success, family happiness, and social harmony with education. Shadow education participation has exacerbated the level of education anxiety. Parents use forward-looking emotions to measure the gains and losses of personal marginal interests and make decisions (He, 2010), making shadow education participation a possibility of class mobility. A survey conducted by the Chinese Educational Society shows that the transaction scale of the education and training market has reached 800 billion yuan, with more than 137 million students participating. False propaganda by training institutions, creating anxiety, price fraud, and taking the opportunity to collect money have caused chaos in my country’s tuition market. In order to strengthen the supervision of off-campus training, on May 21, 2021, the “Opinions on Further Reducing the Work Burden of Students in Compulsory Education and the Burden of Off-campus Training” was reviewed and approved.
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