Please wait a minute...
金融研究  2022, Vol. 507 Issue (9): 93-110    
  本期目录 | 过刊浏览 | 高级检索 |
教育财政如何影响家庭人力资本投资:事实、机制与政策含义
刘文杰, 宋弘, 陈诗一
复旦大学经济学院, 上海 200433
Effects of Education Finance on Household Human Capital Investment: Facts, Mechanisms, and Policy Implications
LIU Wenjie, SONG Hong, CHEN Shiyi
School of Economics, Fudan University
下载:  PDF (893KB) 
输出:  BibTeX | EndNote (RIS)      
摘要 建设高质量教育体系是实现高质量发展的基础,教育财政在其中发挥了重要作用。本文将微观层面的家庭教育支出数据与教育财政数据匹配,基于教育投入产出框架,考察了2009—2017年我国政府和家庭教育投入之间的关系。结果表明,我国政府和家庭教育投入之间存在显著的互补关系。进一步分析表明,校内教育对人力资本积累的贡献度以及校内、校外教育特征差异是影响两者之间替代弹性的重要因素。我们发现,对校外教育市场的管制可有效降低政府和家庭教育投入间的互补性,这对我国教育财政如何实现建设高质量教育体系以及家庭支出减负两大目标的相容具有一定启示。
服务
把本文推荐给朋友
加入引用管理器
E-mail Alert
RSS
作者相关文章
刘文杰
宋弘
陈诗一
关键词:  教育财政  家庭教育投入  人力资本  经济高质量发展    
Summary:  Education is important for the accumulation of human capital and the realization of high-quality development. Since the 2008 global financial crisis, to improve the quality of its population, China has used public finance to expand its educational input regardless of the economic growth downturn and the disappearing “demographic bonus.” As an instrument of fiscal policy, education finance can alleviate households' educational burdens. However, the last decade has witnessed the large-scale expansion of the out-school education market, thereby increasing households' education expenditures. Therefore, this study investigates whether the goals of increasing human capital input and alleviating households' educational burdens in circumstances wherein out-school education has rapidly expanded in recent years can be compatibly achieved through education finance in China.
Using the education input-output model framework, this study modifies the traditional variable elasticity of substitution education production function via which in-school and out-school education are distinguished. In this model, two parameters are crucial to the substitution elasticity between governmental and household education inputs: the contribution of in-school education to human capital accumulation and the characteristic differences between in-school and out-school education. It is important to assess in what way and to what extent these two factors affect the substitution elasticity in reality.
To empirically investigate whether the relationship between the governmental and household education inputs is substitutional or complementary, this study assesses how education finance input affected household education input between 2009 and 2017 in China. We match the micro-level household data from CFPS investigations to the macro-level provincial data from China Statistical Yearbooks, China Education Statistical Yearbooks, and China Educational Expenditure Statistical Yearbooks. The sample includes individuals from the pre-primary to undergraduate stages. We find that the governmental and household education inputs were complementary rather than substitutional in our sample. This result also passes several robustness tests.
Based on the benchmark results, we further analyze the reasons why the two education inputs were complementary. First, we find that people tend to opine that, compared with in-school education, out-school education more significantly contributes to the accumulation of human capital. Second, the characteristic difference between in-school and out-school education increases the ratio of out-school education input for households. Heterogeneity analyses reveal that the effects of education finance inputs on household education inputs are greater for individuals in the stages of compulsory education.
The study findings have strong policy implications. For the stages of compulsory education, a “dual alleviation” policy for homework and out-school tutoring burden was implemented in 2021; we expect that this policy will render the governmental and household education inputs less complementary in these stages. To ensure that education finance in China achieves the compatible goals of constructing a high-quality education system and alleviating household educational expenditures, it may be beneficial to reduce the substitution elasticity by regulating the out-school education market and rationally recognizing the contribution of in-school education to the accumulation of human capital.
This paper makes several contributions to the literature focusing on education finance and household education investments. First, this study explores the economic mechanisms underlying how education finance influences household educational investments based on the high-speed expansion of China's out-school education market. Second, based on the education input-output model, this study improves the traditional education production function, emphasizes the importance of substitution elasticity between governmental and household education inputs, and highlights that it is crucial to alleviate the burden of household expenditure while maintaining the growth of education finance. Future studies should investigate whether the in-school input overwhelms the out-school input in terms of the contribution to human capital accumulation and whether education finance can effectively substitute household education input once China's out-school education market is regulated.
Keywords:  Education Finance    Household Education Input    Human Capital    High-Quality Economic Development
JEL分类号:  H31   H52   I28  
基金资助: * 本文感谢国家自然科学基金创新研究群体项目“中国经济发展规律与治理机制研究”(项目批准号:72121002),国家自然科学基金面上项目“利用教育信息化契机,提升学生人力资本、缩小教育鸿沟”(项目批准号:72173027)的资助。感谢匿名审稿人的宝贵意见,文责自负。
通讯作者:  陈诗一,经济学博士,教授,复旦大学经济学院,复旦大学泛海国际金融学院,E-mail:shiyichen@fudan.edu.cn.   
作者简介:  刘文杰,经济学博士研究生,复旦大学经济学院,E-mail:19110680009@fudan.edu.cn.
宋弘,经济学博士,副教授,复旦大学经济学院,上海市国际金融与经济研究院,E-mail:songhong@fudan.edu.cn.
引用本文:    
刘文杰, 宋弘, 陈诗一. 教育财政如何影响家庭人力资本投资:事实、机制与政策含义[J]. 金融研究, 2022, 507(9): 93-110.
LIU Wenjie, SONG Hong, CHEN Shiyi. Effects of Education Finance on Household Human Capital Investment: Facts, Mechanisms, and Policy Implications. Journal of Financial Research, 2022, 507(9): 93-110.
链接本文:  
http://www.jryj.org.cn/CN/  或          http://www.jryj.org.cn/CN/Y2022/V507/I9/93
[1] 陈斌开、张鹏飞和杨汝岱,2010,《政府教育投入、人力资本投资与中国城乡收入差距》,《管理世界》第1期,第36~43页。
[2] 陈纯槿和李实,2013,《城镇劳动力市场结构变迁与收入不平等:1989~2009》,《管理世界》第1期,第45~55页。
[3] 陈诗一和陈登科,2019,《经济周期视角下的中国财政支出乘数研究》,《中国社会科学》第8期,第111~129页。
[4] 陈诗一和张军,2008,《中国地方政府财政支出效率研究:1978—2005》,《中国社会科学》第4期,第65~78页。
[5] 陈永伟、顾佳峰和史宇鹏,2014,《住房财富、信贷约束与城镇家庭教育开支——来自CFPS2010数据的证据》,《经济研究》第S1期,第89~101页。
[6] 陈钊、陆铭和金煜,2004,《中国人力资本和教育发展的区域差异:对于面板数据的估算》,《世界经济》第12期,第25~31页。
[7] 范子英,2020,《财政转移支付与人力资本的代际流动性》,《中国社会科学》第9期,第48~67页。
[8] 高跃光和范子英,2021,《财政转移支付、教育投入与长期受教育水平》,《财贸经济》第9期,第20~34页。
[9] 郭庆旺和贾俊雪,2009,《公共教育政策、经济增长与人力资本溢价》,《经济研究》第10期,第22~35页。
[10] 胡婉旸、郑思齐和王锐,2014,《学区房的溢价究竟有多大:利用“租买不同权”和配对回归的实证估计》,《经济学(季刊)》第3期,第1195~1214页。
[11] 李力行和周广肃,2015,《家庭借贷约束、公共教育支出与社会流动性》,《经济学(季刊)》第1期,第65~82页。
[12] 李明和郑礼明,2021,《回不去的家乡?——教育公共品供给与人口回流的实证研究》,《金融研究》第4期,第111~130页。
[13] 陆旸和蔡昉,2016,《从人口红利到改革红利:基于中国潜在增长率的模拟》,《世界经济》第1期,第3~23页。
[14] 宋弘和陆毅,2020,《如何有效增加理工科领域人才供给?——来自拔尖学生培养计划的实证研究》,《经济研究》第2期,第52~67页。
[15] 杨成荣、张屹山和张鹤,2021,《基础教育公平与经济社会发展》,《管理世界》第10期,第152~166页。
[16] 袁诚、张磊和曾颖,2013,《地方教育投入对城镇家庭教育支出行为的影响——对我国城镇家庭动态重复截面数据的一个估计》,《 经济学动态》第3期,第29~35页。
[17] 张浩、李仲飞和邓柏峻,2014,《教育资源配置机制与房价——我国教育资本化现象的实证分析》,《金融研究》第5期,第193~206页。
[18] 张勋、寇晶涵、张欣和吕光明,2021,《学区房溢价的影响因素:教育质量的视角》,《金融研究》第11期,第97~116页。
[19] 张军、张慧慧和徐力恒,2018,《劳动力市场分割的技能偏向如何影响家庭人力资本投资》,《中国工业经济》第8期,第5~23页。
[20] 赵颖,2016,《员工下岗、家庭资源与子女教育》,《经济研究》第5期,第101~115页。
[21] 周京奎、王贵东和黄征学,2019,《生产率进步影响农村人力资本积累吗?——基于微观数据的研究》 ,《经济研究》第1期,第100~115页。
[22] Angrist J. D. and V. Lavy, 1999, “Using Maimonides' Rule to Estimate the Effect of Class Size on Scholastic Achievement”, The Quarterly Journal of Economics, 114(2), pp.533~575.
[23] Beauchemin, K. R., 2001, “Growth or Stagnation? The Role of Public Education”, Journal of Development Economics, 64(2), pp.389~416.
[24] Becker, G. S. and N. Tomes, 1986, “Human Capital and the Rise and Fall of Families”, Journal of Labor Economics, 4(3), pp.1~47.
[25] Blankenau, W. F. and N. B. Simpson, 2004, “Public Education Expenditures and Growth”, Journal of Development Economics, 73(2), pp.583~605.
[26] Card, D., 2001, “Estimating the Return to Schooling: Progress on Some Persistent Econometric Problems”, Econometrica, 69(5), pp.1127~60.
[27] Carneiro, P., J. J. Heckman and E. J. Vytlacil, 2011, “Estimating Marginal Returns to Education”, American Economic Review, 101(6), pp.2754~81.
[28] Das, J., S. Dercon, J. Habyarimana, P. Krishnan, K. Muralidharan and V. Sundararaman, 2013, “School Inputs, Household Substitution, and Test Scores”, American Economic Journal: Applied Economics, 5(2), pp.29~57.
[29] De la Croix, D. and M. Doepke, 2004, “Public Versus Private Education When Differential Fertility Matters”, Journal of Development Economics, 73(2), pp.607~629.
[30] Epple, D. and R. E. Romano, 1996, “Public Provision of Private Goods”, Journal of Political Economy, 104(1), pp.57~84.
[31] Gamlath, S., and R. Lahiri, 2018, “Public and Private Education Expenditures, Variable Elasticity of Substitution and Economic Growth”, Economic Modelling, 70, pp.1~14.
[32] Glomm, G. and B. Ravikumar, 1992, “Public Versus Private Investment in Human Capital:Endogenous Growth and Income Inequality”, Journal of Political Economy, 100(4), pp.818~834.
[33] Gouveia, M., 1997, “Majority Rule and the Public Provision of a Private Good”, Public Choice, 93(3), pp.221~244.
[34] Krueger A. B., 1999, “Experimental Estimates of Education Production Functions”, The Quarterly Journal of Economics, 114(2), pp.497~532.
[35] Revankar, N. S., 1971, “A Class of Variable Elasticity of Substitution Production Functions”, Econometrica, 39(1), pp.61~71.
[36] Schultz, T. W., 1961, “Investment in Human Capital”, American Economic Review, 51(1), pp.1~17.
[37] Stiglitz, J. E., 1974, “The Demand for Education in Public and Private School Systems”, Journal of Public Economics, 3(4), pp.349~385.
[38] Taber, C. and R. Vejlin, 2020, “Estimation of a Roy/Search/Compensating Differential Model of the Labor Market”, Econometrica, 88(3), pp.1031~1069.
[39] Todaro, M. P. and S. C. Smith, 2012, Economic Development (11th ed.), Published by Pearson College Division.
[40] Yuan, C. and L. Zhang, 2015, “Public Education Spending and Private Substitution in Urban China”, Journal of Development Economics, 115, pp.124~139.
[1] 金智, 彭辽. 地方人才引进政策与公司人力资本[J]. 金融研究, 2022, 508(10): 117-134.
[2] 聂秀华, 江萍, 郑晓佳, 吴青. 数字金融与区域技术创新水平研究[J]. 金融研究, 2021, 489(3): 132-150.
[3] 刘贯春, 司登奎, 刘芳. 人力资本偏向金融部门如何影响实体经济增长?[J]. 金融研究, 2021, 496(10): 78-97.
[4] 宋弘, 吴茂华. 高房价是否导致了区域高技能人力资本流出?[J]. 金融研究, 2020, 477(3): 77-95.
[5] 杨薇, 孔东民. 企业内部薪酬差距与人力资本结构调整[J]. 金融研究, 2019, 468(6): 150-168.
[6] 鲁元平, 赵颖, 石智雷. 产假政策与子女长期人力资本积累[J]. 金融研究, 2019, 473(11): 57-74.
[7] 郭凯明, 余靖雯. 工资增长、生育率差异与人力资本积累——基于内生生育和退休的动态一般均衡研究[J]. 金融研究, 2017, 441(3): 1-15.
[8] 沈沁, 谢丹阳. 全球经济增长的可持续性:不容置疑[J]. 金融研究, 2016, 428(2): 86-95.
[1] 步丹璐, 狄灵瑜. 治理环境、股权投资与政府补助[J]. 金融研究, 2017, 448(10): 193 -206 .
[2] 王曦, 朱立挺, 王凯立. 我国货币政策是否关注资产价格?——基于马尔科夫区制转换BEKK多元GARCH模型[J]. 金融研究, 2017, 449(11): 1 -17 .
[3] 祝树金, 赵玉龙. 资源错配与企业的出口行为——基于中国工业企业数据的经验研究[J]. 金融研究, 2017, 449(11): 49 -64 .
[4] 陈德球, 陈运森, 董志勇. 政策不确定性、市场竞争与资本配置[J]. 金融研究, 2017, 449(11): 65 -80 .
[5] 牟敦果, 王沛英. 中国能源价格内生性研究及货币政策选择分析[J]. 金融研究, 2017, 449(11): 81 -95 .
[6] 王丽艳, 马光荣. 帆随风动、人随财走?——财政转移支付对人口流动的影响[J]. 金融研究, 2017, 448(10): 18 -34 .
[7] 李少昆. 美国货币政策是全球发展中经济体外汇储备影响因素吗?[J]. 金融研究, 2017, 448(10): 68 -82 .
[8] 高铭, 江嘉骏, 陈佳, 刘玉珍. 谁说女子不如儿郎?——P2P投资行为与过度自信[J]. 金融研究, 2017, 449(11): 96 -111 .
[9] 吕若思, 刘青, 黄灿, 胡海燕, 卢进勇. 外资在华并购是否改善目标企业经营绩效?——基于企业层面的实证研究[J]. 金融研究, 2017, 449(11): 112 -127 .
[10] 项后军, 闫玉. 理财产品发展、利率市场化与银行风险承担问题研究[J]. 金融研究, 2017, 448(10): 99 -114 .
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
版权所有 © 《金融研究》编辑部
本系统由北京玛格泰克科技发展有限公司设计开发 技术支持:support@magtech.com.cn
京ICP备11029882号-1