Based on the new construction method of using the inequality aversion coefficient measuring social welfare level,the paper adopted 5 periods of the CGSS data from 2010 to 2020 to measure the advantageous inequality aversion coefficient and disadvantageous inequality aversion coefficient.The results of redundancy analysis showed that the measuring method had a relatively better validity.Then the paper used the machine learning algorithm to explore both regional and urban-rural characteristics of welfare level.The results showed that,although the overall level of social welfare had an improving trend,there was still an unbalanced development status.The welfare level of urban residents had a more stronger hierarchical solidification effect than that of rural residents.Meanwhile,the Matthew index and Matthew coefficient exhibited the characteristics of mean regression.In addition,there was a"welfare gap"between the eastern region and the midwestern region,and the gap had a gradually enlarged trend.
关键词
社会福利水平/不平等厌恶系数/马太效应/"福利鸿沟"
Key words
social welfare level/inequality aversion coefficient/Matthew effect/"welfare gap"
万方数据