中国人文社会科学核心期刊

中文社会科学引文索引(CSSCI)来源期刊

中文核心期刊

Message Board

Respected readers, authors and reviewers, you can add comments to this page on any questions about the contribution, review, editing and publication of this journal. We will give you an answer as soon as possible. Thank you for your support!

Name
E-mail
Phone
Title
Content
Verification Code
Volume 38 Issue 11
Nov.  2020
Turn off MathJax
Article Contents
Yang Po, Xu Ying. Information Capital and Household Education Choice: Evidence from China[J]. Journal of East China Normal University (Educational Sciences), 2020, 38(11): 39-55. doi: 10.16382/j.cnki.1000-5560.2020.11.003
Citation: Yang Po, Xu Ying. Information Capital and Household Education Choice: Evidence from China[J]. Journal of East China Normal University (Educational Sciences), 2020, 38(11): 39-55. doi: 10.16382/j.cnki.1000-5560.2020.11.003

Information Capital and Household Education Choice: Evidence from China

doi: 10.16382/j.cnki.1000-5560.2020.11.003
  • Available Online: 2020-11-13
  • Publish Date: 2020-11-13
  • Increasing household education expenditure is critical for improving human capital investment and expanding household consumption in China. This study analyzes how information capital embedded in internet usage influences household’s education choice and investment. Based on 2014 and 2016 wave of China Family Panel Survey data, this paper constructs a parent-child matched sample and uses the Coarsened Exact Match method to estimate the causal effect of using internet on human capital investment, and evaluate how inter-household variation in access to internet influences education investment gap. This study shows that mother’s internet use significantly increases the likelihood of a household’s participating in education choice in terms of school choice, school quality choice, and after-school tutoring. Information capital also induces families to spend more money on non-mandatory education expenditure and private tutoring. However, such positive effect disappears as the access to internet expands over time. Moreover, migrant children are less likely to benefit from this kind of digital dividend.
  • loading
  • [1]
    鲍威, 金红昊, 肖阳. (2019). 阶层壁垒与信息鸿沟: 新高考改革背景之下的升学信息支持. 中国高教研究,309(05),43−52.
    [2]
    德普克, 齐利博蒂. (2019). 爱、金钱和孩子: 育儿经济学(吴娴、鲁敏儿译, 王永钦校). 上海: 格致出版社、上海人民出版社.
    [3]
    丁小浩, 翁秋怡. (2015). 职业权力与家庭教育支出——基于政治经济学视角的实证分析. 教育研究,36(8),33−41.
    [4]
    郭秋菊, 靳小怡. (2016). 农民工的母亲对子女重大决策的影响研究. 社会,36(5),222−241.
    [5]
    哈巍, 靳慧琴. (2018). 教育经费与学区房溢价——以北京市为例. 教育与经济,141(1),37−43.
    [6]
    胡咏梅, 范文凤, 丁维莉. (2015). 影子教育是否扩大教育结果的不均等——基于 PISA 2012 上海数据的经验研究. 北京大学教育评论,13(3),29−46. doi:  10.3969/j.issn.1671-9468.2015.03.003
    [7]
    黄晓婷, 魏易. (2018). 校外培训行业发展现状: 基于中国教育财政家庭调查数据的分析. 引自王蓉(主编), 中国教育新业态发展报告(2017). 社会科学文献出版社.
    [8]
    李春玲. (2014). 教育不平等的年代变化趋势(1940—2010)——对城乡教育机会不平等的再考察. 会学研究, (2),65−89.
    [9]
    李升. (2006). “数字鸿沟”: 当代社会阶层分析的新视角. 社会,26(6),81−81.
    [10]
    李湘萍. (2008). 义务教育阶段择校行为与教育机会分布公平性研究——基于中国 18 个城市居民家庭教育选择支出的实证分析. 教育研究, (3),67−72.
    [11]
    罗斯高. (2017). 农村儿童的发展怎样影响未来中国.取自: URL: http://www.sohu.com/a/192832894_299738.2019-11-10.
    [12]
    闵维方. (2017). 教育促进经济增长的作用机制研究. 北京大学教育评论,15(3),123−136.
    [13]
    钱晓烨, 迟巍, 史瑶. (2015). 义务教育阶段城镇家庭教育支出的构成及不平等: 来自2007 和2011 的实证证据. 教育与经济, (6),25−33. doi:  10.3969/j.issn.1003-4870.2015.06.004
    [14]
    王蓉, 田志磊. (2018). 迎接教育财政3.0 时代. 教育经济评论,3(1),26−46.
    [15]
    王蓉. (2018). 总报告. 引自王蓉(主编), 中国教育新业态发展报告(2017). 北京: 社会科学文献出版社.
    [16]
    魏建国, 罗朴尚, 宋映泉. (2011). 高中学生对大学成本和学生资助信息的知晓状况分析——基于对我国西部 41 个贫困县的调研. 教育发展研究, (21),7−13.
    [17]
    魏易. (2019). 中国教育财政家庭调查报告 . 北京: 社会科学文献出版社.
    [18]
    吴志强. (2003). 信息资本涵义探. 图书情报工作,47(10),50−54. doi:  10.3969/j.issn.0252-3116.2003.10.011
    [19]
    谢宇, 胡婧炜, 张春泥. (2014). 中国家庭追踪调查: 理念与实践. 社会,34(2),1−32.
    [20]
    薛海平. (2016). 课外补习、学习成绩与社会再生产. 教育与经济, (2),32−43. doi:  10.3969/j.issn.1003-4870.2016.02.005
    [21]
    杨钋, 徐颖. (2017). 数字鸿沟与家庭教育投资不平等. 北京大学教育评论,15(4),126−154.
    [22]
    周广肃, 梁琪. (2018). 互联网使用, 市场摩擦与家庭风险金融资产投资. 金融研究, (1),84−101.
    [23]
    周森. (2018). 民办基础教育学校在服务于谁?. 引自王蓉(主编), 中国教育新业态发展报告(2017). 北京: 社会科学文献出版社.
    [24]
    郅庭瑾, 陈纯槿. (2019). 互联网使用时间对中学生学科素养的影响研究——基于互联网使用动机的视角. 华东师范大学学报 (教育科学版),37(6),61−74.
    [25]
    中国互联网络信息中心. (2018). 第42次中国互联网络发展状况统计报告. URL: http://www.cac.gov.cn/2018-08/20/c_1123296882.htm.
    [26]
    Agee, M. D., & Crocker, T. D. (1996). Parents' discount rates for child quality. Southern Economic Journal, 63(1), 36−50. doi:  10.2307/1061301
    [27]
    Armor, D. J., & Peiser, B. M. (1998). Interdistrict choice in Massachusetts. In Paul E. Peterson and Bryan C. Hassel (Eds.), Learning from school choice. Washington, DC: Brookings Institution Press.
    [28]
    Attewell, P. (2001). Comment: The first and second digital divides. Sociology of education, 74(3), 252−259. doi:  10.2307/2673277
    [29]
    Attewell P, & Battle, J. (1999). Home computers and school performance. The Information Society, 15, 1−10.
    [30]
    Aurini, J., & Davies, S. (2004). The transformation of private tutoring: Education in a franchise form. Canadian Journal of Sociology, 29(3), 419−438.
    [31]
    Baker, D. P., Akiba, M., LeTendre, G. K. & Wiseman, A. W. (2001). Worldwide shadow education: Outside‐school learning, institutional quality of schooling, and cross-national mathematic achievement. Educational Evaluation and Policy Analysis, 23(1), 1−17. doi:  10.3102/01623737023001001
    [32]
    Belo, R., Ferreira, P., & Telang, R. (2013). Broadband in school: Impact on student performance. Management Science, 60(2), 265−282.
    [33]
    Bergman, P. and Hill, M. (2015), The Effects of Making Performance Information Public: Evidence from Los Angeles Teachers and a Regression Discontinuity Design. CESifo Working Paper Series No. 5383.
    [34]
    Bergman, P. (2015). Parent-Child Information Frictions and Human Capital Investment: Evidence from a Field Experiment. CESifo Working Paper No. 5391.
    [35]
    Blau, P. (1977). Inequality and heterogeneity. New York: Free Press.
    [36]
    Bray, M., Ding, X., & Huang, P. (2004). Reducing the burden on the poor: Household costs of basic education in Gansu, China. International Studies in Educational Administration, 26(4), 445−447.
    [37]
    Bray, M. (1999). The shadow education system: Private tutoring and its implications for planners. Fundamentals of Educational Planning No. 61. Paris: UNESCO International Institute for Educational Planning.
    [38]
    Buchmann, C., Condron, D. J., & Roscigno, V. J. (2010). Shadow education, American style: Test preparation, the SAT and college enrollment. Social Forces, 89(2), 435−461. doi:  10.1353/sof.2010.0105
    [39]
    Byun, S. (2010). Does policy matter in shadow education spending? revisiting the effects of the high school equalization policy in South Korea. Asia Pacific Education Review, 11(1), 83−96. doi:  10.1007/s12564-009-9061-9
    [40]
    Chi, W., & Qian, X. (2016). Human capital investment in children: An empirical study of household child education expenditure in China, 2007 and 2011. China Economic Review, 37, 52−65. doi:  10.1016/j.chieco.2015.11.008
    [41]
    Crook, C. J. (1995). The role of mothers in the educational and status attainment of Australian men and women. Journal of Sociology, 31(2), 45−73. doi:  10.1177/144078339503100202
    [42]
    Dang, H. A., & Rogers, F. H. (2008). The growing phenomenon of private tutoring: Does it deepen human capital, widen inequalities, or waste resources?. The World Bank Research Observer, 23(2), 161−200. doi:  10.1093/wbro/lkn004
    [43]
    Davies, A. S. (2004a). The transformation of private tutoring: education in a franchise form. The Canadian Journal of Sociology, 29(3), 419−438.
    [44]
    Davies, A. S. (2004b). School choice by default? Understanding the demand for private tutoring in Canada. American Journal of Education, 110(3), 233−255. doi:  10.1086/383073
    [45]
    Davies, S., Aurini, J., & Quirke, L. (2002). New markets for private education in Canada. Education Canada, 42, 36−38.
    [46]
    Dimaggio, P., & Hargittai, E. (2001). From the ‘digital divide’ to ‘digital inequality’. Working paper series NO. 15. Princeton University.
    [47]
    Donkoh, S. A., & Amikuzuno, J. A. (2011). The determinants of household education expenditure in Ghana. Educational Research & Reviews, 6(8), 570−579.
    [48]
    Donohue, G. A., Tichenor, P. J., & Olien, C. N. (1975). Mass media and the knowledge gap a hypothesis reconsidered. Communication Research, 2(1), 3−23. doi:  10.1177/009365027500200101
    [49]
    Escueta, M., Quan, V., Nickow, A. J., & Oreopoulos, P. (2017). Education technology: An evidence-based review. NBER Working Papers No. 23744.
    [50]
    Fairlie, R. W., & Robinson, J. (2013). Experimental evidence on the effects of home computers on academic achievement among schoolchildren. American Economic Journal: Applied Economics, 5(3), 211−40. doi:  10.1257/app.5.3.211
    [51]
    Fuchs, T., & Wößmann, L. (2004). What accounts for international differences in student performance?. CESifo working paper No. 1235.
    [52]
    Greene, J P., W G. Howell, & Peterson, P. E. (1998). Lessons from the Cleveland Scholarship Program. In Paul E. Peterson and Brian C. Hassel (Eds.), Learning from school choice. Washington, DC: Brookings Institution Press.
    [53]
    Hastings, J. S., & Weinstein, J. M. (2008). Information, school choice, and academic achievement: Evidence from two experiments. The Quarterly journal of economics, 123(4), 1373−1414. doi:  10.1162/qjec.2008.123.4.1373
    [54]
    Hastings, J. S., Van Weelden, R., & Weinstein, J. (2007). Preferences, information, and parental choice behavior in public school choice (No. w12995). National Bureau of Economic Research.
    [55]
    Haywood, T. (1995). Info rich-Info poor: access and exchange in the global information society. London: Bowker Saur.
    [56]
    Iacus, S. M., King, G., & Porro, G. (2012). Causal inference without balance checking: Coarsened exact matching. Political Analysis, 20(1), 1−24. doi:  10.1093/pan/mpr013
    [57]
    James, E. (1986). The private nonprofit provision of education: A theoretical model and application to Japan. Journal of Comparative Economics, 10(3), 255−276. doi:  10.1016/0147-5967(86)90098-3
    [58]
    Jensen, R. (2010). The (perceived) returns to education and the demand for schooling. The Quarterly Journal of Economics, 125(2), 515−548. doi:  10.1162/qjec.2010.125.2.515
    [59]
    Kleitz, B., Weiher, G. R., Tedin, K., & Matland, R.. (2000). Choice, charter schools, and household preferences. Social Science quarterly, 846-854.
    [60]
    Lai, F., Liu, C., Luo, R., Zhang, L., Ma, X., Bai, Y., & Rozelle, S. (2014). The education of China's migrant children: The missing link in China's education system. International Journal of Educational Development, 37, 68−77. doi:  10.1016/j.ijedudev.2013.11.006
    [61]
    Lee, J. (2007). Two worlds of private tutoring: The prevalence and causes of after-school mathematics tutoring in Korea and the United States. Teachers College Record, 109(5), 1207−1234.
    [62]
    Loyalka, P., Song, Y., Wei, J., Zhong, W., & Rozelle, S. (2013). Information, college decisions and financial aid: Evidence from a cluster-randomized controlled trial in China. Economics of Education Review, 36, 26−40. doi:  10.1016/j.econedurev.2013.05.001
    [63]
    Mayer, S. E., Kalil, A., Oreopoulos, P., & Gallegos, S. (2015). Using behavioral insights to increase parental engagement: The parents and children together (PACT) intervention. National Bureau of Economic Research Working paper No. w21602.
    [64]
    Mori, I., & Baker, D. (2010). The origin of universal shadow education: What the supplemental education phenomenon tells us about the postmodern institution of education. Asia Pacific Education Review, 11(1), 36−48. doi:  10.1007/s12564-009-9057-5
    [65]
    Na, Y. M., & Yoon, J. H. (2011). The effect of the mother’s educational aspirations and the household's characteristics on private educational expenditures. Korean Journal of Human Ecology, 20(6), 1199−1212. doi:  10.5934/KJHE.2011.20.6.1199
    [66]
    Nguyen, T. (2008). Information, Role Models and Perceived Returns to Education: Experimental Evidence from Madagascar. MIT Working Paper.
    [67]
    Oreopoulos, P., & Dunn, R. (2013). Information and college access: Evidence from a randomized field experiment. The Scandinavian Journal of Economics, 115(1), 3−26. doi:  10.1111/j.1467-9442.2012.01742.x
    [68]
    Pais, J., & ágnes Pintér . (2008). School choice and information: An experimental study on matching mechanisms. Games & Economic Behavior, 64(1), 0−328.
    [69]
    Park, H., Byun, S. Y., & Kim, K. K. (2011). Parental involvement and students’ cognitive outcomes in Korea: Focusing on private tutoring. Sociology of Education, 84(1), 3−22. doi:  10.1177/0038040710392719
    [70]
    Park, H., Buchmann, C., Choi, J. & Merry, J. J. (2016). Learning beyond the school walls: Trends and implications. Annual Review of Sociology, 42, 231−252. doi:  10.1146/annurev-soc-081715-074341
    [71]
    Piketty, T. (2014). Capital in the twenty-first century: A multidimensional approach to the history of capital and social classes. British Journal of Sociology, 65(4), 736−747. doi:  10.1111/1468-4446.12115
    [72]
    Piketty, T., & Saez, E. (2003). Income inequality in the United States: 1913-1998. Quarterly Journal of Economics, 118(1), 1−39. doi:  10.1162/00335530360535135
    [73]
    Piketty, T., & Zucman, G. (2014). Capital is back: wealth-income ratios in rich countries 1700–2010. Cepr Discussion Papers, 129(3), 1255−1310.
    [74]
    Ramey, G., & Ramey, V. A. (2010). The rug rat race. Brookings Papers on Economic Activity, (1), 129−199.
    [75]
    Reeder, A. L., & Conger, R. D. (1984). Differential mother and father influences on the educational attainment of black and white women. Sociological Quarterly, 25(2), 239−250. doi:  10.1111/j.1533-8525.1984.tb00185.x
    [76]
    Schneider, D., Hastings, O. P. & LaBriola, J. (2018). Income inequality and class divides in parental investments. American Sociological Review, 83(3), 475−507. doi:  10.1177/0003122418772034
    [77]
    Schneider, M., & Buckley, J. (2002). What do parents want from schools? evidence from the internet. Educational Evaluation and Policy Analysis, 24(2), 133−144. doi:  10.3102/01623737024002133
    [78]
    Schneider, M., Marschall, M., Teske, P., & Roch, C. (1998). School choice and culture wars in the classroom: What different parents seek from education. Social Science Quarterly, 79(3), 489−501.
    [79]
    Tichenor, P. J., Donohue, G. A., & Olien, C. N. (1970). Mass media flow and differential growth in technology. Public Opinion Quarterly, 34(2), 159−170. doi:  10.1086/267786
    [80]
    Vanourek, G., Manno, B. V., Finn, C. E., & Bierlein Palmer, L. E. (1998). Charter schools as seen by students, teachers, and parents. In Peterson, P. E. & Hassel, B. Learning from school choice (pp. 187-211). Brookings Institute.
    [81]
    York, B., & Susanna, L. (2014). One Step at a Time: The Effects of an Early Literacy Text Messaging Program for Parents of Preschoolers. NBER Working Paper No. 20659.
    [82]
    Zhang, W., & Bray, M. (2015). Shadow education in Chongqing, China: Factors underlying demand and policy implications. KEDI Journal of Educational Policy, 12(1).
    [83]
    Zhang, Y., & Xie, Y. (2016). Family background, private tutoring, and children’s educational performance in contemporary China. Chinese sociological review, 48(1), 64−82. doi:  10.1080/21620555.2015.1096193
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Tables(6)

    Article views (300) PDF downloads(21) Cited by()
    Proportional views

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return