Abstract
In the last few decades, educational enrolment at different levels of schooling has increased. The socio-economic disparity in education participation has also reduced. However, students’ learning levels have been low, and the trends in learning outcomes have been stagnant. Against this backdrop, this paper investigates how regional disparity in learning outcomes has changed over time. Using multiple rounds of nationally representative data on test scores and schooling inputs, we apply the methodology of convergence to study temporal changes in the distribution of learning outcomes across the Indian districts over a decade. Our findings reveal the existence of absolute convergence, which seems to be driven mainly by a fall in learning outcomes among initially better-performing districts. Our analysis of conditional convergence shows the importance of having equality of opportunity in reducing regional disparity in learning over time. Our study highlights the need for having policy measures targeted toward underperforming regions, especially in the current times when the COVID-19 pandemic has disrupted the education system and caused significant learning loss among students from disadvantaged backgrounds.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
Notes
- 1.
ASER is a nationally representative survey conducted by the NGO Pratham in every year across all districts of India. The survey measures children’s basic literacy, numeracy, etc. among other information.
- 2.
The data can be downloaded from https://ngdc.noaa.gov/eog/dmsp/downloadV4composites.html.
- 3.
Based on expert advice, the age limit was raised to seven in the 1991 Census. It is observed that children below this age limit don’t ordinally develop the skill required to understand the text properly. To be literate, there is no requirement for formal education.
- 4.
We use a non-parametric estimator, specifically, the kernel density function for this analysis.
- 5.
The Kolmogorov–Smirnov test is a nonparametric test for comparing two samples and test whether they are drawn from the same probability distribution.
References
Acemoglu, D., & Pischke, J. S. (2001). Changes in the wage structure, family income, and children’s education. European Economic Review, 45(4–6), 890–904.
Angrist, J. D., & Lavy, V. (2001). Does teacher training affect pupil learning? Evidence from matched comparisons in Jerusalem public schools. Journal of Labor Economics, 19(2), 343–369.
AntĂłn, J. I., Grande, R., & de Bustillo, R. M. (2021). Convergence in Working Conditions. Working Paper.
Banerjee, A., & Duflo, E. (2015 February 1). Learning is not About Enrolment, Latrines in School. We are Failing Children on Massive Scale. The Indian Express, February, 1.
Barro, R. J., & Sala-i-Martin, X. (1992). Convergence. Journal of Political Economy, 100(2), 223–251.
Baumol, W. J. (1986). Productivity growth, convergence, and welfare: What the long-run data show. The American Economic Review, 76(5), 1072–1085.
Card, D. (1999). The causal effect of education on earnings. Handbook of Labor Economics, 3, 1801–1863.
Card, D., & Krueger, A. B. (1996). School resources and student outcomes: An overview of the literature and new evidence from North and South Carolina. Journal of Economic Perspectives, 10(4), 31–50.
Cervellati, M., & Sunde, U. (2005). Human capital formation, life expectancy, and the process of development. American Economic Review, 95(5), 1653–1672.
Chanda, A., & Kabiraj, S. (2020). Shedding light on regional growth and convergence in India. World Development, 133, 104961.
Colclough, C., Kingdon, G., & Patrinos, H. (2010). The changing pattern of wage returns to education and its implications. Development Policy Review, 28(6), 733–747.
Contini, D., Di Tommaso, M. L., Muratori, C., Piazzalunga, D., & Schiavon, L. (2021). The COVID-19 Pandemic and School Closure: Learning Loss in Mathematics in Primary Education. (No. 14785). IZA Discussion Papers.
Das, S., Ghate, C., & Robertson, P. E. (2015). Remoteness, urbanization, and India’s unbalanced growth. World Development, 66, 572–587.
Doyle, O., Harmon, C., Heckman, J. J., Logue, C., & Moon, S. (2013). Measuring Investment in Human Capital Formation: An Experimental Analysis of Eearly Life Outcomes (No. w193116). National Bureau of Economic Research.
Drèze, J., & Kingdon, G. G. (2001). School participation in rural India. Review of Development Economics, 5(1), 1–24.
Durlauf, S. N., Johnson, P. A., & Temple, J. R. (2005). Growth econometrics. Handbook of. Economic Growth, 1, 555–677.
Engzell, P., Frey, A., & Verhagen, M. D. (2021). Learning loss due to school closures during the COVID-19 pandemic. Proceedings of the National Academy of Sciences, 118(17), e2022376118.
Friedman, M. (1992). Do old fallacies ever die? Journal of Economic Literature, 30(4), 2129–2132.
Guryan, J., Hurst, E., & Kearney, M. (2008). Parental education and parental time with children. Journal of Economic Perspectives, 22(3), 23–46.
Hanushek, E. A., & Kimko, D. D. (2000). Schooling, labor-force quality, and the growth of nations. American Economic Review, 90(5), 1184–1208.
Hembram, S., & Haldar, S. K. (2020). Is India experiencing health convergence? An empirical analysis. Economic Change and Restructuring, 53(4), 591–618.
Henderson, J. V., Storeygard, A., & Weil, D. N. (2012). Measuring economic growth from outer space. American Economic Review, 102(2), 994–1028.
Hevia, F. J., Vergara-Lope, S., Velásquez-Durán, A., & Calderón, D. (2022). Estimation of the fundamental learning loss and learning poverty related to COVID-19 pandemic in Mexico. International Journal of Educational Development, 88, 102515.
Hoover-Dempsey, K. V., & Sandler, H. M. (1997). Why do parents become involved in their children’s education? Review of Educational Research, 67(1), 3–42.
Hungi, N. (2011). Accounting for variations in the quality of primary school education. SACMEQ, Southern and Eastern Africa Consortium for Monitoring Educational Quality.
Jayasuriya, R., & Wodon, Q. (2003). Explaining country efficiency in improving health and education indicators: The role of urbanization. World Development Report.
Kim, J., Rose, P., Tiruneh, D. T., Sabates, R., & Woldehanna, T. (2021). Learning inequalities widen following COVID-19 school closures in Ethiopia. RISE Programme.
Krueger, A. B., & Whitmore, D. M. (2001). The effect of attending a small class in the early grades on college-test taking and middle school test results: Evidence from Project STAR. The Economic Journal, 111(468), 1–28.
Li, Y., Rama, M., & Zhao, Q. (2018). States diverge, cities converge: Drivers of local growth catch-up in India. World Bank Policy Research Working Paper, (8660).
Maldonado, J., & De Witte, K. (2020). The effect of school closures on standardised student test. British Educational Research Journal.
Masino, S., & Niño-Zarazúa, M. (2016). What works to improve the quality of student learning in developing countries? International Journal of Educational Development, 48, 53–65.
Muralidharan, K., & Sheth, K. (2016). Bridging education gender gaps in developing countries: The role of female teachers. Journal of Human Resources, 51(2), 269–297.
Muralidharan, K., & Singh, A. (2021). India’s new national education policy: Evidence and challenges. Science, 372(6537), 36–38.
Muralidharan, K., & Sundararaman, V. (2006). Teacher Incentives in Developing Countries: Experimental Evidences from India. Working Paper.
Ortega, B., Casquero, A., & Sanjuán, J. (2016). Corruption and convergence in human development: Evidence from 69 countries during 1990–2012. Social Indicators Research, 127(2), 691–719.
Pritchett, L. (2013). The Rebirth of Education: Schooling ain’t Learning. CGD Books.
Purohit, B. C. (2012). Health policy, inequity and convergence in India. International Journal of Development Studies, 4, 104–118.
Quah, D. (1993). Empirical Cross-section Dynamics in Economic Growth. LSE Working Paper.
Rakshit, S., & Sahoo, S. (2023). Biased Teachers and Gender Gap in Learning Outcomes: Evidence from India. Journal of Development Economics, 161, 103041.
Rosenzweig, M. R., & Schultz, T. P. (1982). Market opportunities, genetic endowments, and intrafamily resource distribution: Child survival in rural India. The American Economic Review, 72(4), 803–815.
Roy, K. (2019). Examining the draft national education policy, 2019. Economic and Political Weekly, 54(25), 1–23.
Royuela, V., & GarcĂa, G. A. (2015). Economic and social convergence in Colombia. Regional Studies, 49(2), 219–239.
Singh, N., Kendall, J., Jain, R. K., & Chander, J. (2014). Regional inequality in India in the 1990s: A district-level view. Economic and Political Weekly, 49(15), 71–76.
Schultz, T. W. (1961). Investment in human capital. The American Economic Review, 51(1), 1–17.
Tiwari, C., Bhattacharjee, S., & Chakrabarti, D. (2020). Investigating regional inequalities in India: Are Indian districts converging? Journal of International Development, 32(5), 684–716.
UNICEF. (2020). COVID-19: Are Children Able to Continue Learning During School Closures. A Global Analysis of the Potential Reach of Remote Learning Policies Using Data from 100 Countries.
Wanmali, S., & Islam, Y. (1995). Rural services, rural infrastructure and regional development in India. Geographical Journal, 161(2), 149–166.
World Bank. (2018). World Development Report 2019: The Changing Nature of Work. The World Bank.
World Bank, UNESCO, and UNICEF. (2021). The State of the Global Education Crisis: A Path to Recovery.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this chapter
Cite this chapter
Kalliyil, M., Aluru, S., Sahoo, S. (2023). Regional Patterns and Dynamics of Learning Outcomes in India. In: Chatterjee, T.B., Ghose, A., Roy, P. (eds) Risks and Resilience of Emerging Economies. India Studies in Business and Economics. Springer, Singapore. https://doi.org/10.1007/978-981-99-4063-9_13
Download citation
DOI: https://doi.org/10.1007/978-981-99-4063-9_13
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-99-4062-2
Online ISBN: 978-981-99-4063-9
eBook Packages: Economics and FinanceEconomics and Finance (R0)