IDEAS home Printed from https://ideas.repec.org/a/scn/voprob/2019i4p116-132.html
   My bibliography  Save this article

Неравенство Возможностей В Сфере Образования В Индии: Оценка Индекса Возможностей Для Человека По Данным Опросов

Author

Listed:
  • Дас П.

Abstract

Панчанан Дас - профессор департамента экономики Университета Калькутты (Индия).Адрес: University of Calcutta, 56A, B.T. Road Kolkata 700050. E-mail: panchanandaswbes@gmail.comЦель данного исследования состоит в том, чтобы количественно оценить доступность начального и среднего школьного образования для детей-представителей разных социальных групп в Индии, и выявить половые различия в охвате детей систематическим образованием. Используются данные проведенного в 2014 г. Национальным бюро выборочных обследований опроса, который был посвящен вопросам образования и охватил все территории Республики Индия. Установлено, что в сельской местности школьное образование более доступно для мальчиков, чем для девочек, а в городе наоборот. Охват детей образованием в сельской местности меньше по сравнению с городом. Индекс возможностей для человека выше у детей в городах, чем в сельской местности. На этапах начальной и средней школы наиболее сильное влияние на неравенство возможностей детей в получении систематического образования оказывает уровень образования родителей.

Suggested Citation

  • Дас П., 2019. "Неравенство Возможностей В Сфере Образования В Индии: Оценка Индекса Возможностей Для Человека По Данным Опросов," Вопросы образования // Educational Studies Moscow, National Research University Higher School of Economics, issue 4, pages 116-132.
    • Handle: RePEc:scn:voprob:2019:i:4:p:116-132
    as

    Download full text from publisher

    File URL: https://vo.hse.ru/data/2019/12/21/1525906755/06%20Das.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ashish Singh, 2011. "Inequality of Opportunity in Indian Children: The Case of Immunization and Nutrition," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 30(6), pages 861-883, December.
    2. Thomas, Vinod & Wang, Yan & Fan, Xibo, 2001. "Measuring education inequality - Gini coefficients of education," Policy Research Working Paper Series 2525, The World Bank.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Panchanan Das, 2019. "Inequality of Opportunity in Educational Achievement in India: Implications of Earning distribution and Affirmative Action," Voprosy obrazovaniya / Educational Studies Moscow, National Research University Higher School of Economics, issue 4, pages 116-132.
    2. Tugce, Cuhadaroglu, 2013. "My Group Beats Your Group: Evaluating Non-Income Inequalities," SIRE Discussion Papers 2013-49, Scottish Institute for Research in Economics (SIRE).
    3. Bourguignon, Francois, 2005. "The Effect of Economic Growth on Social Structures," Handbook of Economic Growth, in: Philippe Aghion & Steven Durlauf (ed.), Handbook of Economic Growth, edition 1, volume 1, chapter 27, pages 1701-1747, Elsevier.
    4. Olivera, Javier & Andreoli, Francesco & Leist, Anja K. & Chauvel, Louis, 2018. "Inequality in old age cognition across the world," Economics & Human Biology, Elsevier, vol. 29(C), pages 179-188.
    5. Francisco H. G. Ferreira & Jérémie Gignoux, 2014. "The Measurement of Educational Inequality: Achievement and Opportunity," The World Bank Economic Review, World Bank, vol. 28(2), pages 210-246.
    6. Gangfei Luo & Shouzhen Zeng & Tomas Baležentis, 2022. "Multidimensional Measurement and Comparison of China’s Educational Inequality," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 163(2), pages 857-874, September.
    7. David E. Sahn & Stephen D. Younger, 2009. "Measuring intra‐household health inequality: explorations using the body mass index," Health Economics, John Wiley & Sons, Ltd., vol. 18(S1), pages 13-36, April.
    8. Park, Jungsoo, 2006. "Dispersion of human capital and economic growth," Journal of Macroeconomics, Elsevier, vol. 28(3), pages 520-539, September.
    9. Petra Sauer & Martin Zagler, 2014. "(In)equality in Education and Economic Development," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 60(S2), pages 353-379, November.
    10. Thomas Ziesemer, 2016. "Gini Coefficients of Education for 146 Countries, 1950-2010," Bulletin of Applied Economics, Risk Market Journals, vol. 3(2), pages 1-8.
    11. Lilik Sugiharti, 2017. "Education Performance and the Determinants of Secondary School Enrolment in Indonesia," GATR Journals gjbssr477, Global Academy of Training and Research (GATR) Enterprise.
    12. Shay Tsur & Eyal Argov, 2019. "Conditional Convergence and Future TFP Growth in Israel," Bank of Israel Working Papers 2019.05, Bank of Israel.
    13. Evelyne Huber & John D. Stephens, 2013. "Income Inequality and Redistribution in Post-Industrial Democracies: Demographic, Economic, and Political Determinants," LIS Working papers 602, LIS Cross-National Data Center in Luxembourg.
    14. repec:hal:spmain:info:hdl:2441/1ds77lna5j86jagcp29tfni72o is not listed on IDEAS
    15. Grimm, Michael & Harttgen, Kenneth & Klasen, Stephan & Misselhorn, Mark, 2008. "A Human Development Index by Income Groups," World Development, Elsevier, vol. 36(12), pages 2527-2546, December.
    16. Christian Morrisson & Fabrice Murtin, 2013. "The Kuznets curve of human capital inequality: 1870–2010," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 11(3), pages 283-301, September.
    17. Ximing Wu & Andreas Savvides & Thanasis Stengos, 2008. "The Global Joint Distribution of Income and Health," Working Papers 0807, University of Guelph, Department of Economics and Finance.
    18. Dawood Mamoon & Syed Mansoob Murshed, 2013. "Education bias of trade liberalization and wage inequality in developing countries," The Journal of International Trade & Economic Development, Taylor & Francis Journals, vol. 22(4), pages 572-604, June.
    19. Shyamal K. De & Bhargab Chattopadhyay, 2017. "Minimum Risk Point Estimation of Gini Index," Sankhya B: The Indian Journal of Statistics, Springer;Indian Statistical Institute, vol. 79(2), pages 247-277, November.
    20. Castro Souza Junior, Jose Ronaldo & Gross, Daniel & Figueiredo, Lizia, 2023. "The determinants of economic institutions and the knock-on effects on GDP per capita," MPRA Paper 116277, University Library of Munich, Germany.
    21. Ryan D. Edwards & Shripad Tuljapurkar, 2005. "Inequality in Life Spans and a New Perspective on Mortality Convergence Across Industrialized Countries," Population and Development Review, The Population Council, Inc., vol. 31(4), pages 645-674, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:scn:voprob:2019:i:4:p:116-132. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Marta Morozova (email available below). General contact details of provider: http://vo.hse.ru/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.