Education Quality and National (Regional) Income Gap: Construction of the Global Education Quality Index

doi:10.16382/j.cnki.1000-5560.2023.10.006

Abstract

Abstract:

The relationship between education development and economic distribution has always been a hot topic in the field of education economics. This study is based on the background of achieving common prosperity, using global education and economic development data from 2000 to 2018 to construct a global education quality index, and based on the index, explores the relationship between education quality and income inequality. The study found that : first, China’s education quality index is at a medium level globally, with the quality of school education operation ranking top, but the competitiveness of the basic education assurance quality index and the quality of secondary and higher education development index is relatively low. The reasons for this are twofold: on the one hand, China’s expansion of higher education came later, making young people the main holders of secondary and higher education degrees. Under the influence of the aging population structure, the proportion of people with secondary and higher education degrees is low, directly lowering China’s index of secondary and higher education development. On the other hand, compared with other countries, China’s public education expenditure ratio is relatively low, coupled with poor completion rate in primary school, which indirectly lowers the quality index of basic education assurance in China. Second, by constructing a two-way fixed effect model to explore the relationship between education quality and national income inequality, it was found that the higher the overall education quality and school education operation quality of a country, the lower the degree of income differentiation, indicating that the improvement of national education quality can to a certain extent promote the realization of common prosperity. Based on the above findings, the study suggests the following: first, consolidate the attainable indicators of basic education, increase the investment in public education funds to meet the minimum targets, and strengthen the guarantee of basic education. Second, continue to leverage the advantage of the quality of school education operation and promote the attainment of graduation standards for secondary school graduates through both academic and vocational tracks in order to improve the whole skill of China’s reserve workforce.

Key words: education quality index, income inequality, common prosperity, Palma Index

Yan Cao, Guoyang Zhang, Xinyue Yao. Education Quality and National (Regional) Income Gap: Construction of the Global Education Quality Index[J]. Journal of East China Normal University(Educational Sciences), 2023, 41(10): 66-79.

Figures/Tables 8

排序	教育质量总指数		基础教育保障质量		学校教育运行质量		中高教育发展质量
排序	国家/地区	指数得分	国家/地区	指数得分	国家/地区	指数得分	国家/地区	指数得分
1	Finland	131.12	Belgium	140.77	China	139.29	Kazakhstan	162.44
2	Belgium	130.29	Sweden	137.42	Hong Kong SAR, Chi	121.71	Belarus	161.15
3	Sweden	128.87	Costa Rica	137.26	Poland	121.27	Georgia	155.85
4	Belarus	125.28	Uruguay	132.24	Slovenia	119.38	United Arab Emirates	144.87
5	Slovenia	125.15	Finland	131.80	Portugal	117.81	Lithuania	139.91
6	New Zealand	125.08	Denmark	124.87	Finland	117.48	Denmark	138.03
7	Iceland	124.16	New Zealand	124.50	Singapore	117.30	Latvia	136.90
8	Singapore	122.35	Iceland	124.10	Spain	115.58	Australia	134.60
9	Estonia	122.30	Mexico	119.39	Korea	114.70	Singapore	131.81
10	Australia	122.08	Israel	119.04	Belgium	114.17	Russia	130.79
11	Korea	121.09	Argentina	117.58	Czech Republic	113.83	Switzerland	129.88
12	Ireland	119.55	Malaysia	117.32	Estonia	112.96	Israel	123.78
13	Poland	118.57	Brazil	117.11	Ireland	112.33	Germany	122.37
14	Latvia	118.16	Ireland	115.21	Hungary	112.10	Estonia	121.93
15	Lithuania	118.03	Netherlands	108.42	Greece	111.84	New Zealand	121.73
16	United Kingdom	117.15	Malta	108.26	Italy	110.77	Korea	121.17
17	Netherlands	116.74	Slovenia	107.64	Australia	110.47	Azerbaijan	119.37
18	Denmark	116.11	France	107.63	Malta	110.30	United Kingdom	119.32
19	Switzerland	114.58	United Kingdom	106.20	Iceland	110.10	Chile	119.10
20	Greece	114.48	Chile	105.86	Netherlands	109.47	Greece	119.00
21	Russia	114.40	Colombia	105.14	Germany	108.49	Sweden	114.70
22	Czech Republic	113.37	Estonia	104.17	Sweden	108.25	Slovenia	114.56
23	France	113.25	Spain	103.20	Turkey	107.07	Poland	114.46
24	Hong Kong SAR, Chi	112.67	Portugal	102.05	Slovak Republic	107.04	Moldova	113.72
25	Spain	111.64	Moldova	101.30	United Kingdom	106.84	Iceland	113.32
26	Germany	111.60	Brunei Darussalam	99.58	Lithuania	106.80	Netherlands	112.34
27	Israel	111.40	Korea	98.82	Switzerland	106.17	France	111.47
28	Malta	109.16	Philippines	98.47	France	105.92	Argentina	109.77
29	Portugal	106.60	Belarus	98.15	New Zealand	105.84	Finland	109.36
30	Kazakhstan	106.47	Czech Republic	95.69	Bulgaria	105.58	Czech Republic	109.23
31	Hungary	106.29	Georgia	95.35	Latvia	103.29	Serbia	109.20
32	Italy	102.60	Russia	94.98	Brunei Darussalam	102.98	Peru	108.94
33	Slovak Republic	101.26	Latvia	94.74	Romania	102.71	Ireland	107.77
34	China	101.11	Serbia	94.63	Russia	102.11	Luxembourg	107.31
			China（38）	92.73			China（61）	45.44

References 0

	陈斌. 中国高等教育发展水平省际差异透视——基于高等教育发展指数的证据复旦教育论坛 2016 14 04 76 82+8 陈斌. (2016). 中国高等教育发展水平省际差异透视—基于高等教育发展指数的证据. 复旦教育论坛,14(04),76—82+8. doi: 10.3969/j.issn.1672-0059.2016.04.013
	陈有华, 张壮. 城镇化与农业补贴绩效商业研究 2021 04 110 119 陈有华, 张壮. (2021). 城镇化与农业补贴绩效. 商业研究,(04),110—119. doi: 10.13902/j.cnki.syyj.2021.04.013
	丁延庆, 薛海平. 从效率视角对我国基础教育阶段公办学校分层的审视——基于对昆明市公办高中的教育生产函数研究北京大学教育评论 2009 7 04 35 49+188 丁延庆, 薛海平. (2009). 从效率视角对我国基础教育阶段公办学校分层的审视—基于对昆明市公办高中的教育生产函数研究. 北京大学教育评论,7(04),35—49+188. doi: 10.3969/j.issn.1671-9468.2009.04.004
	杜鹏. 我国教育发展对收入差距影响的实证分析南开经济研究 2005 04 47 52 杜鹏. (2005). 我国教育发展对收入差距影响的实证分析. 南开经济研究,(04),47—52. doi: 10.3969/j.issn.1001-4691.2005.04.008
	顾小清, 王春丽, 王飞. 信息技术的作用发生了吗: 教育信息化影响力研究电化教育研究 2016 10 1 5 12 顾小清, 王春丽, 王飞. (2016). 信息技术的作用发生了吗: 教育信息化影响力研究. 电化教育研究,10(1),5—12.
	胡咏梅, 杜育红. 中国西部农村初级中学教育生产函数的实证研究教育与经济 2008 03 1 7 胡咏梅, 杜育红. (2008). 中国西部农村初级中学教育生产函数的实证研究. 教育与经济,(03),1—7.
	胡咏梅, 薛远康. 高等教育规模与质量对城乡收入差距的影响——基于2003—2019年省级面板数据的空间计量分析教育经济评论 2022 04 17 40 胡咏梅, 薛远康. (2022). 高等教育规模与质量对城乡收入差距的影响—基于2003—2019年省级面板数据的空间计量分析. 教育经济评论,(04),17—40.
	李刚, 辛涛. 基础教育质量的内涵与监测评价理论模型华东师范大学学报(教育科学版) 2021 39 04 15 29 李刚, 辛涛. (2021). 基础教育质量的内涵与监测评价理论模型. 华东师范大学学报(教育科学版),39(04),15—29.
	李立国. (2022). 共同富裕视野下的高等教育. 光明日报, 2022.1. 4.
	李盛基, 余项科, 王泓懿. 城乡居民收入差距的传递机制研究——以教育收益率为视角河南社会科学 2018 05 44 49 李盛基, 余项科, 王泓懿. (2018). 城乡居民收入差距的传递机制研究—以教育收益率为视角. 河南社会科学,(05),44—49.
	李祥云. 中国高等教育对收入分配不平等程度的影响——基于省级面板数据的实证分析高等教育研究 2014 06 52 58+75 李祥云. (2014). 中国高等教育对收入分配不平等程度的影响—基于省级面板数据的实证分析. 高等教育研究,(06),52—58+75.
	李祥云, 魏萍. 学校资源配置对学生成绩的影响机制研究——基于对JX县小学问卷调查的实证分析教师教育学报 2014 1 05 63 72 李祥云, 魏萍. (2014). 学校资源配置对学生成绩的影响机制研究—基于对JX县小学问卷调查的实证分析. 教师教育学报,1(05),63—72. doi: 10.13718/j.cnki.jsjy.2014.05.010
	李祥云, 张建顺. 公共教育投入对学校教育结果的影响——基于湖北省70所小学数据的实证研究中南财经政法大学学报 2018 06 81 8+160 李祥云, 张建顺. (2018). 公共教育投入对学校教育结果的影响—基于湖北省70所小学数据的实证研究. 中南财经政法大学学报,(06),81—8+160. doi: 10.3969/j.issn.1003-5230.2018.06.009
	刘泽云. 教育对工资不平等的影响: 结构效应和价格效应北京师范大学学报(社会科学版) 2009 05 116 125 刘泽云. (2009). 教育对工资不平等的影响: 结构效应和价格效应. 北京师范大学学报(社会科学版),(05),116—125.
	柳光强, 邓大松, 祁毓. 教育数量与教育质量对农村居民收入影响的研究——基于省级面板数据的实证分析教育研究 2013 34 05 20 9 柳光强, 邓大松, 祁毓. (2013). 教育数量与教育质量对农村居民收入影响的研究—基于省级面板数据的实证分析. 教育研究,34(05),20—9.
	吕红, 李盛基. (2017). 体面劳动: 水平测量、评价及影响因素分析. 北京: 科学出版社.
	牛建林. 中国人口教育发展的特征, 结构性矛盾与下一步思路——基于第七次全国人口普查公报和相关人口教育统计的发现教育研究 2021 042 011 36 47 牛建林. (2021). 中国人口教育发展的特征, 结构性矛盾与下一步思路—基于第七次全国人口普查公报和相关人口教育统计的发现. 教育研究,042(011),36—47.
	乔恩·威特. (2014). 社会学的邀请(林聚任译). 北京: 北京大学出版社.
	谈松华, 袁本涛. 教育现代化衡量指标问题的探讨清华大学教育研究 2001 01 14 21 谈松华, 袁本涛. (2001). 教育现代化衡量指标问题的探讨. 清华大学教育研究,(01),14—21. doi: 10.14138/j.1001-4519.2001.01.003
	田盈, 向栩, 潘晓琳. 职业教育能改善城乡收入差距吗? 教育与经济 2020 06 51 58 田盈, 向栩, 潘晓琳. (2020). 职业教育能改善城乡收入差距吗?. 教育与经济,(06),51—58.
	王骏, 彭顺绪, 原莹. 重点高中、学校投入与学生学业成绩——基于J市普通高中的一个经验研究世界经济文汇 2017 03 17 45 王骏, 彭顺绪, 原莹. (2017). 重点高中、学校投入与学生学业成绩—基于J市普通高中的一个经验研究. 世界经济文汇,(03),17—45.
	王善迈, 袁连生, 田志磊, 等. 我国各省份教育发展水平比较分析教育研究 2013 34 06 29 41 王善迈, 袁连生, 田志磊, 等. (2013). 我国各省份教育发展水平比较分析. 教育研究,34(06),29—41.
	习近平. (2021). 《求是》杂志发表习近平总书记重要文章《扎实推动共同富裕》. 新华网.
	http://m.news.cn/2021-10/15/c_1127961105.htm.
	袁振国. (2021). 教育是共同富裕的重要动力. 浙江日报. 2021−12−08.
	张欢, 徐康宁, 孙文远. 城镇化、教育质量与中等收入陷阱——基于跨国面板数据的实证分析数量经济技术经济研究 2018 35 05 40 58 张欢, 徐康宁, 孙文远. (2018). 城镇化、教育质量与中等收入陷阱—基于跨国面板数据的实证分析. 数量经济技术经济研究,35(05),40—58. doi: 10.13653/j.cnki.jqte.20180503.006
	张翼. 受教育程度与城镇居民收入不平等——基于基尼系数的分解研究西北人口 2014 35 03 1 5+9 张翼. (2014). 受教育程度与城镇居民收入不平等—基于基尼系数的分解研究. 西北人口,35(03),1—5+9. doi: 10.3969/j.issn.1007-0672.2014.03.001
	张占斌, 吴正海. 共同富裕的发展逻辑、科学内涵与实践进路新疆师范大学学报(哲学社会科学版) 2022 43 01 39 48+2 张占斌, 吴正海. (2022). 共同富裕的发展逻辑、科学内涵与实践进路. 新疆师范大学学报(哲学社会科学版),43(01),39—48+2. doi: 10.14100/j.cnki.65-1039/g4.20211109.002
	Adams, D. Defining educational quality Educational Planning 1993 9 3 18 Adams, D. (1993). Defining educational quality. Educational Planning, (9), 3—18.
	Administration NUOEPA. (2013). Education Development Index (EDI) 2012-13 released by NEUPA . 2013. http://schoolreportcards.in/Media/m188.html#:~:text=%20Education%20Development%20Index%20%28EDI%29%20is%20a%20joint,on%20the%20basis%20of%20EDI%20started%20in%202005-06.
	Angrist, J. D. & Lavy, V. Using Maimonides’ rule to estimate the effect of class size on scholastic achievement The Quarterly Journal of Economics 1999 114 2 533 75 Angrist, J. D. & Lavy, V. (1999). Using Maimonides’ rule to estimate the effect of class size on scholastic achievement. The Quarterly Journal of Economics, 114(2), 533—75. doi: 10.1162/003355399556061
	Bao, W. (2016). Research on course quality evaluation index of higher vocational education. 4th International Conference on Management Science, Education Technology, Arts, Social Science and Economics (MSETASSE 2016). Advances in Social Science.
	Becker, G. S. & Chiswick B. R. Education and the distribution of earnings American Economic Review 1966 56 May 358 369 Becker, G. S. & Chiswick B. R. (1966). Education and the distribution of earnings. American Economic Review, 56(May), 358—369.
	Birdsall, N., David, R., & Richard, S. Education, Growth and Inequality in Nancy Birdsall and Frederick Jaspersen, Pathways to Growth; Comparing East Asia and Latin America Inter-American Development Bank 1997 1997 93 127 Birdsall, N., David, R., & Richard, S. (1997). Education, Growth and Inequality in Nancy Birdsall and Frederick Jaspersen, Pathways to Growth; Comparing East Asia and Latin America. Inter-American Development Bank, 1997, 93—127.
	Britton, J. & Propper, C. Teacher pay and school productivity: Exploiting wage regulation Journal of Public Economics 2016 133 75 89 Britton, J. & Propper, C. (2016). Teacher pay and school productivity: Exploiting wage regulation. Journal of Public Economics, 133, 75—89. doi: 10.1016/j.jpubeco.2015.12.004
	Cao, L., & Meng, L.. (2013). A new evaluation index system of the assessment of higher education in China.
	Chetty, R., Friedman, J., Hilger, N., et al. How does your kindergarten classroom affect your earnings? Evidence from project star The Quarterly Journal of Economics 2011 126 1593 660 Chetty, R., Friedman, J., Hilger, N., et al. (2011). How does your kindergarten classroom affect your earnings? Evidence from project star. The Quarterly Journal of Economics, 126, 1593—660. doi: 10.1093/qje/qjr041
	Clotfelter, C. T., Ladd, H. F. & Vigdor, J. L. Teacher credentials and student achievement: Longitudinal analysis with student fixed effects Economics of Education Review 2007 2007,26 6 673 82 Clotfelter, C. T., Ladd, H. F. & Vigdor, J. L. (2007). Teacher credentials and student achievement: Longitudinal analysis with student fixed effects. Economics of Education Review, 2007,26(6), 673—82.
	Cooper, S. T. & Cohn, E. Estimation of a frontier production function for the South Carolina educational process Economics of Education Review 1997 16 3 313 27 Cooper, S. T. & Cohn, E. (1997). Estimation of a frontier production function for the South Carolina educational process. Economics of Education Review, 16(3), 313—27. doi: 10.1016/S0272-7757(96)00077-5
	Glewwe, P., & Muralidharan, K. (2016). Improving Education Outcomes in Developing Countries: Evidence, Knowledge Gaps, and Policy Implications. In Machin, S. ,Woessmann, L. & Hanushek, E. A. (Eds. ), Handbook of the Economics of Education, 2016 (pp. 653-743). (Handbook of the Economics of Education; Vol. 5). Elsevier. https://doi.org/10.1016/B978-0-444-63459-7.00010-5.
	Hanushek, E. A. & Kimko, D. D. Schooling, labor-force quality, and the growth of nations The American Economic Review 2000 90 5 1184 208 Hanushek, E. A. & Kimko, D. D. (2000). Schooling, labor-force quality, and the growth of nations. The American Economic Review, 90(5), 1184—208. doi: 10.1257/aer.90.5.1184
	Hanushek, E. A., & Woessmann, L. (2008). The role of cognitive skills in economic development. Munich Reprints in Economics.
	Jhingran, D., & Sankar, D. (2010). Equitable resource allocations and evidence based planning for elementary education in India: Reducing disparities.
	Juhn, C., Murphy, K. M., & Pierce, B. Wage inequality and the rise in returns to skill Journal of Political Economy 1993 101 3 410 442 Juhn, C., Murphy, K. M., & Pierce, B. (1993). Wage inequality and the rise in returns to skill. Journal of Political Economy, 101(3), 410—442. doi: 10.1086/261881
	Knight, J. B., & Sabot, R. H. Educational expansion and the Kuznets effect American Economic Review 1983 73 5 1132 1136 Knight, J. B., & Sabot, R. H. (1983). Educational expansion and the Kuznets effect. American Economic Review, 73(5), 1132—1136.
	Krueger, A. B.. Experimental estimates of education production function Quarterly Journal of Economics 1999 114 2 497 532 Krueger, A. B. (1999). Experimental estimates of education production function. Quarterly Journal of Economics, 114(2), 497—532.
	Kumba, D.. Education inequality, economic growth, and income inequality: Evidence from Indonesia, 1996—2005 SSRN electronic journal 2009 1 8 Kumba, D. (2009). Education inequality, economic growth, and income inequality: Evidence from Indonesia, 1996—2005. SSRN electronic journal, 1—8.
	Levy, F. & Murnane, R. J. U. S. earnings levels and earnings inequality: A review of recent trends and proposed explanations Journal of Economic Literature 1992 30 3 1333 1381 Levy, F. & Murnane, R. J. (1992). U. S. earnings levels and earnings inequality: A review of recent trends and proposed explanations. Journal of Economic Literature, 30(3), 1333—1381.
	Marin, A. & Psacharopoulos, G. Schooling and income distribution Review of Ecomomics & Statistics 1976 58 3 332 338 Marin, A. & Psacharopoulos, G. (1976). Schooling and income distribution. Review of Ecomomics & Statistics, 58(3), 332—338.
	Narayana. , M. R.. Education, human development and quality of life: Measurement issues and implications for india Social Indicators Research 2009 270 293 Narayana. , M. R. (2009). Education, human development and quality of life: Measurement issues and implications for india. Social Indicators Research, 270—293.
	Nickell, S. Poverty and worklessness in Britain Economic Journal 2004 114 3 C1 C25 Nickell, S. (2004). Poverty and worklessness in Britain. Economic Journal, 114(3), C1—C25.
	Psacharopoulos, G. & Tilak, J. (1991). Schooling and equity. In George Psacharopoulos, Essays on poverty, equity and growth. Pergamon Press, Inc. , 53—78.
	Ram, R. School expenditures and student achievement: Evidence for the United States Education Economics 2004 12 2 169 76 Ram, R. (2004). School expenditures and student achievement: Evidence for the United States. Education Economics, 12(2), 169—76.
	Roy, J. Impact of school finance reform on resource equalization and academic performance: Evidence from Michigan Education Finance and Policy 2011 6 2 137 67 Roy, J. (2011). Impact of school finance reform on resource equalization and academic performance: Evidence from Michigan. Education Finance and Policy, 6(2), 137—67. doi: 10.1162/EDFP_a_00030
	Schanzenbach, D. W. (2014). Does class size matter? . National Education Policy Center.
	Švecová, L. (2017). The impact of the quality of national education system to the innovation and business environment, The 11th International Days of Statistics and Economics, Prague. Available at: https://msed.vse.cz/msed_2017/article/263-Svecova-Lenka-paper.pdf (Accessed: 24 June 2023).
	Shi Yang. Construction research on index system of teaching quality of distance education Journal of Discrete Mathematical Sciences and Cryptography 2018 21 6 1431 1436 Shi Yang. (2018). Construction research on index system of teaching quality of distance education. Journal of Discrete Mathematical Sciences and Cryptography, 21(6), 1431—1436.
	Tinbergen, J. The impact of education on income distribution Review of Income & Wealth 1972 16 2 221 341 Tinbergen, J. (1972). The impact of education on income distribution. Review of Income & Wealth, 16(2), 221—341.
	UNESCO. (2005). EFA Global Monitoring Report 2005: Education for All: the Quality Imperative.
	Waldek. Egalitarian and elitist education systems as the basis for international differences in wage inequality European Journal of Political Economy 2000 16 445 468 Waldek. (2000). Egalitarian and elitist education systems as the basis for international differences in wage inequality. European Journal of Political Economy, (16), 445—468.
	Winegarden, C. R. Schooling and income distribution: Evidence from international data Economica 1979 46 83 87 Winegarden, C. R. (1979). Schooling and income distribution: Evidence from international data. Economica, 46, 83—87. doi: 10.2307/2553099
	World Bank, T. W. (2022). World Development Indicator.

指标维度		世界银行教育发展指数	全民教育发展指数	中国教育发展指数	印度教育质量指数	全球教育质量指数
教育机会		毛入学率	小学净入学率	毛入学率	小学覆盖率小学结构	毛入学率
教育投入	师资力量	国家公共教育投入占GDP的比例		师资指数	没有专业资格证书的教师占比	具有资质的教师在学校中的平均占比
	经费投入			生均教育事业费	无	国家财政性教育投入占GDP的比例
	基础设施				卫生间可用率饮用水可用率	信息化设备
	班级规模				班级规模与结构	中学师生比
教育产出或教育结果	认知水平	青年识字率	成人识字率	无	无	15岁学生认知能力
	认知水平	青年识字率		无	无	初中毕业生达标率
	教育获得	无		无	6—14岁入学率	小学完成情况
		无			小学完成率	成人学历获得
		小学完成率	5年级巩固率		升学率	成人学历获得
教育公平		无	性别公平	城乡公平	无	无
		无		地区公平	无	无
		无		无	性别公平	无

一级指标	二级指标	变量名称	数据来源	样本量	均值	标准差	最小值	最大值
教育机会	入学率	初等和中等教育阶段的毛入学率	World Bank	373	1.003	0.03	0.822	1.152
教育机会	入学率	高等教育毛入学率	World Bank	415	56.946	22.277	5.325	142.852
教育（过程）投入	经费投入	教育公共经费占GDP的比重	World Bank	402	4.675	1.306	2.048	9.51
	师资力量	具有资质的教师在学校中的平均占比	PISA	415	0.817	0.203	0	1
	班级规模	中学师生比	PISA	403	0.078	0.022	0.03	0.139
	信息化设备	可连接互联网的电脑比例	PISA	415	0.804	0.234	0.024	1
教育结果	短期结果：认知水平	小学未完成率	UNESCO	415	2.476	3.362	0.009	24.546
		15岁学生的认知能力	PISA	413	468.505	52.624	311.104	585.504
		达到最低标准数学成绩的初中学生比例	UNESCO	408	64.691	22.397	3.667	94.999
	中长期结果：教育获得	高中及以上学历的成人占比	UNESCO	414	60.735	20.724	4.134	103.183
	中长期结果：教育获得	高等教育学历的成人占比	UNESCO	396	27.936	13.167	4.832	79.02
帕尔马比值			OECD	325	1.438	0.525	0.665	3.43
调整后国家人均GDP			World Bank	415	26824.183	24261.792	543.111	149010.23
劳动人口的失业率			World Bank	410	7.778	4.819	0.11	32.2
总人口数（单位：百万人）			World Bank	415	52.039	154.146	0.033184	1402.760

变量	因子1 基础教育保障质量	因子2 学校教育运行质量	因子3 中高教育发展质量	KMO值	KMO总值
初等和中等教育阶段的毛入学率	0.7968	?0.0839	?0.1417	0.5120	0.7414
高等教育毛入学率	0.2241	0.4701	0.4514	0.8358
教育公共经费占GDP的比重	0.7459	0.1903	0.1909	0.7408
具有资质的教师在学校中的平均占比	?0.0385	0.6793	?0.0621	0.8031
中学师生比	0.1050	0.5250	0.2080	0.8970
可连接互联网的电脑比例	0.0684	0.6240	0.1480	0.8493
小学未完成率	?0.5519	?0.0687	?0.3325	0.7670
15岁学生的认知能力	0.0308	0.8712	0.1836	0.6681
达到最低标准数学成绩的初中学生比例	0.0521	0.8614	0.2932	0.6765
高中及以上学历的成人占比	?0.0969	0.2936	0.7911	0.7579
高等教育学历的成人占比	0.1456	0.1347	0.8270	0.7684
方差	1.59752	3.00083	1.86930
方差解释率/%	14.52%	27.28%	16.99%
累积方差解释率/%	14.52%	41.80%	58.80%

解释变量	被解释变量：帕尔马比值
解释变量	模型1	模型2
教育质量指数	?0.00597***
	[0.00209]
学校教育运行质量		?0.00606***
		[0.00220]
中高教育发展质量		?0.00267
		[0.00233]
基础教育保障质量		?0.00164
		[0.00117]
年份固定效应	控制	控制
国家（地区）固定效应	控制	控制
控制变量	控制	控制
常数项	1.828***	2.238***
	[0.214]	[0.418]
观测值	282	282
国家（地区）数量	62	62
R方	0.123	0.128

[1]	Yuhong Du, Yanbin Guo. Education and Income Distribution: Theoretic Logics and Actual Evidence [J]. Journal of East China Normal University(Educational Sciences), 2023, 41(10): 1-11.
[2]	Xiaolan Zhou, Kailin Wu. Does High-quality Higher Education Better Enable Top Managers to Promote Corporate Participation in Public Good: Evidence from Chinese Listed Companies [J]. Journal of East China Normal University(Educational Sciences), 2023, 41(10): 104-115.
[3]	Yaozong Hu, Hao Yao. Higher Education Expansion, Human Capital Transmission and Achieving Common Wealth [J]. Journal of East China Normal University(Educational Sciences), 2023, 41(10): 116-130.
[4]	Bin Huang, Bo Li, Chao Fang. The Unique Role of Education in Promoting Common Prosperity: Theoretical Oughtness and Empirical Reality [J]. Journal of East China Normal University(Educational Sciences), 2023, 41(10): 12-26.
[5]	Yupeng Zhang, Qian Wang. How Digital Economy Adjusts the Impact of Higher Education on Common Prosperity? [J]. Journal of East China Normal University(Educational Sciences), 2023, 41(10): 150-163.
[6]	Chen Xie, Xiuxiu Yang. Evidences and Policy Implications on Expanding Middle-Income Group through Education [J]. Journal of East China Normal University(Educational Sciences), 2023, 41(10): 27-39.
[7]	Yang Po. Learning Beyond School Walls in Times of Inequality [J]. Journal of East China Normal University(Educational Sciences), 2020, 38(5): 63-77.