Evaluating the effectiveness of the “Double Reduction” education policy in China: A study using web scraping, sentiment analysis, and spatial regression
Yan Xiao, Jinchen Xie

TL;DR
This study evaluates public satisfaction with China's 'Double Reduction' education policy using social media data and finds regional disparities in its effectiveness.
Contribution
The study introduces a multi-dimensional, region-specific analysis of public satisfaction with the DR policy using web scraping and spatial regression.
Findings
Chinese residents generally express positive satisfaction with the DR policy, but regional disparities persist.
Political support has a stronger influence on satisfaction in western provinces, while market support is more impactful in eastern provinces.
Educational support shows consistent positive effects across all regions without significant interprovincial variation.
Abstract
The implementation of China’s “Double Reduction” (DR) policy, which aims to alleviate academic and extracurricular burdens, has received considerable attention. However, there has been limited evaluation of public satisfaction with the policy, particularly from a regional and multi-dimensional support perspective. This study aims to assess DR policy satisfaction from Chinese public, through a comprehensive “government–market–school” perspective. Combining the web scraping technology and sentiment analysis technology, this study captures 2,475,833 Weibo posts from 31 provinces in China related to DR policy. The causal relationship is discussed through spatial regression after controlling for spatial endogeneity. The findings indicate that Chinese residents generally express positive satisfaction with the DR policy, however, substantial regional disparities persist. Provinces in the…
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Taxonomy
TopicsWeb visibility and informetrics · E-Government and Public Services · Global Educational Reforms and Inequalities
