Journal of East China Normal University(Educational Sciences) ›› 2023, Vol. 41 ›› Issue (10): 66-79.doi: 10.16382/j.cnki.1000-5560.2023.10.006
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Yan Cao1,3, Guoyang Zhang2, Xinyue Yao1,3
Accepted:
2023-07-12
Online:
2023-10-01
Published:
2023-09-27
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.
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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 |
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 | ||||
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 |
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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 |
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 | |
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 |
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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% |
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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 | |||||||
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 |
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排序 | 国家/地区 | 初等和中等教育毛入学率 | 国家/地区 | 公共教育经费占GDP的比例 | 国家/地区 | 小学未完成率(从低到高) |
1 | Belgium | 1.07 | Denmark | 7.75 | France | 0.01 |
2 | Ireland | 1.06 | Sweden | 7.64 | Iceland | 0.06 |
3 | Finland | 1.06 | Iceland | 7.57 | Switzerland | 0.08 |
4 | Uruguay | 1.05 | Costa Rica | 6.78 | Costa Rica | 0.12 |
5 | Malaysia | 1.05 | Belgium | 6.38 | Sweden | 0.13 |
6 | Mexico | 1.05 | Finland | 6.27 | Ireland | 0.14 |
7 | Sweden | 1.04 | Israel | 6.16 | Uruguay | 0.15 |
8 | Costa Rica | 1.04 | Brazil | 6.09 | Russia | 0.16 |
9 | New Zealand | 1.04 | New Zealand | 6.05 | Lithuania | 0.18 |
10 | Philippines | 1.03 | Saudi Arabia | 5.96 | Singapore | 0.20 |
11 | Argentina | 1.02 | Moldova | 5.44 | United Arab Emirates | 0.22 |
12 | Spain | 1.02 | Chile | 5.43 | Malta | 0.23 |
13 | Brunei Darussalam | 1.02 | France | 5.41 | Slovenia | 0.23 |
14 | Estonia | 1.02 | Belarus | 5.38 | Malaysia | 0.26 |
15 | China | 1.01 | China(48) | 3.54 | China(55) | 6.45 |
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. |
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