“Safety Net” or “Diversion”? An Empirical Study of the Impact of Vocational Education on Social Mobility: Evidence Based on CFPS

doi:10.16382/j.cnki.1000-5560.2022.07.006

Abstract

Abstract:

Vocational education has two mutually exclusive functions in social mobility: “safety net” and “diversion”. Based on the China Family Panel Studies, the impacts of vocational education on social status and social mobility are analyzed by using some indicators such as economic income, socioeconomic index, and mobility of status on both intergenerational and intragenerational perspectives. The results show that vocational education group can achieve better economic income and socioeconomic status than average level, and significantly superior to their parents. Compared with the junior high school group, vocational education group has remarkable advantage in terms of social status, which indicates that vocational education can provide individuals with a solid “safety net” and promote upward social mobility. However, compared with higher education group, vocational education is inferior in terms of economic income and socioeconomic index, and the “diversion” effect is significant. In addition, vocational education plays a more significant role in promoting the social mobility of the western rural region in China. In general, as an effective mechanism to promote social mobility, vocational education should be paid high attention to further develop its “safety net” function whiling limiting “diversion” effect.

Key words: vocational education, social mobility, socioeconomic index, safety net, diversion

Yijun Wang, Huiqi Hu. “Safety Net” or “Diversion”? An Empirical Study of the Impact of Vocational Education on Social Mobility: Evidence Based on CFPS[J]. Journal of East China Normal University(Educational Sciences), 2022, 40(7): 69-84.

Figures/Tables 12

References 0

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教育群体变量	职业教育		初中教育		高等教育
教育群体变量	均值	标准差	均值	标准差	均值	标准差
收入（元）	22354.33	17345.95	17080.38	25335.65	37247.41	32561.16
地区
东部	0.58	0.49	0.50	0.50	0.46	0.50
中部	0.29	0.46	0.29	0.45	0.42	0.49
西部	0.13	0.33	0.21	0.41	0.12	0.33
年龄	32.90	9.70	38.76	10.10	33.56	6.41
性别（男1，女0）	0.60	0.49	0.65	0.48	0.45	0.50
婚姻（已婚1，未婚0）	0.73	0.44	0.89	0.32	0.79	0.41
户口（城镇1，农村0）	0.42	0.49	0.13	0.34	0.54	0.50
ISEI	44.46	15.05	33.16	12.30	53.69	15.62
家庭收入（元）	55507.22	56778.13	40822.34	41521.45	88967.89	76275.04
父亲学历	2.75	1.15	2.04	1.01	3.55	1.31
父亲ISEI	37.61	17.71	30.38	14.42	41.49	17.76
样本数	554		3251		150

个人收入	职业教育	初中教育	高等教育
1万以下	21.66%	44.36%	6%
1万—2万	38.63%	34.17%	20.67%
2—5万	34.66%	18.7%	57.33%
5—10万	4.69%	2.09%	12.67%
10万以上	0.36%	0.68%	3.33%
合计	100%	100%	100%

ISEI	职业教育	初中教育	高等教育
下层	21.48%	57.67%	10.34%
中下层	20.4%	15.75%	13.79%
中上层	27.98%	17.45%	13.79%
上层	30.14%	9.13%	62.07%
合计	100%	100%	100%

		职业教育	初中教育	高等教育
个体收入与家庭收入的1/2比较	小于	59.96%	62.94%	66.2%
个体收入与家庭收入的1/2比较	大于	40.04%	37.06%	33.8%
个体收入与家庭收入的1/3比较	小于	34.72%	40.84%	32.39%
个体收入与家庭收入的1/3比较	大于	65.28%	59.16%	67.61%

ISEI-GAP	职业教育	初中教育	高等教育
?60— ?41	2.57%	3.47%	/
?40— ?21	8.48%	6.12%	6.12%
?20— ?1	14.91%	11.22%	22.45%
0—20	54.5%	71.69%	38.78%
21—40	11.31%	4%	19.39%
41—60	8.23%	3.51%	13.27%
合计	100%	100%	100%