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Quantifying Demographic Dividend in India and its Impact on Economic Growth : A State-Level Study


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1 Koan Advisory Group, A-321, Block A, Defence Colony, New Delhi - 110 024, India

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Analyzing the impact of the age-structural changes on economic growth has gained immense attention over the recent years. The present study examined the relationship between changes in the working-age population ratio and per-capita income growth. After instrumenting growth rate of working-age population ratio with birth rate at the beginning of the previous decade, working-age population (both in level and growth form) appeared to have a positive and statistically significant impact on per-capita income growth. The log of working-age population ratio was found to be robust to the inclusion of several human capital development and other policy measures such as infant mortality rate, log of per-capita development expenditure, and per-capita scheduled commercial bank credit. Moreover, growth rate of working-age population ratio was found to be robust to inclusion of infant mortality rate and per-capita scheduled commercial bank credit. At an all-India level, the addition to the per-capita income growth due to changes in the working-age population ratio from the base year (1981) onwards was found to be gradually increasing over the decades and for the period 2000s, it turned out to be almost equal to 1%. High growth rate of working-age population ratio experienced by the BIMARU states, especially over the period 2001-2011, exhibited enormous potential of contributing to the per-capita income growth. A differential lens in policy making needs to be adopted. While states with narrow window of demographic opportunity should focus on policies that are inter-state migration friendly, states with broader window of demographic opportunity should invest more in human capital development and employment generation.

Keywords

Demographic Dividend, Demographic Transition, Age Structural Dynamics, Working-Age Population, Economic Growth.
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  • Agarwal, A. (2014). Growth and structural transformation of the workforce: Are we heading in the right direction ?Arthshastra Indian Journal of Economics & Research , 3 ( 5 ) , 4 3 – 5 5 . https://doi.org/10.17010/aijer/2014/v3i5/55994
  • Aggarwal, V., Singh, P., & Mitra, R. (2019, August 29). Indian states rarely give back anything to the internal migrants who help them flourish. Scroll.in. Retrieved from https://scroll.in/article/935178/indian-statesflourish-because-of-internal-migrants-but-rarely-give-anything-back-to-them
  • Aiyar, S., & Mody, A. (2011). The demographic dividend : Evidence from the Indian states (WP/11/38). International Monetary Fund. Retrieved from https://www.imf.org/external/pubs/ft/wp/2011/wp1138.pdf
  • Baltagi, B. (2008). Econometric analysis of panel data. John Wiley & Sons.
  • Barro, R. J., & Sala-i-Martin, X. (1995). Economic growth. New York, NY : McGraw-Hill.
  • Basheer, K. P. M. (2018, January 24). Kerala’s scheme for migrants. The Hindu Business Line. Retrieved from https://www.the hindu businessline.com/news/variety/keralas-scheme-formigrants/article6902317.ece
  • Bhat, M. P. N., Preston, S., & Dyson, T. (1984). Vital rates in India, 1961–1981 (Report No. 4). Washington, DC : Committee on Population and Demography, National Academy Press.
  • Bhattacharya, G., & Haldar, S. K. (2015). Does demographic dividend yield economic dividend? India, a case study. Economics Bulletin, 35(2), 1274 –1291.
  • Bloom, D. E., & Canning, D. (2004). Global demographic change: Dimensions and economic significance (No.w10817). National Bureau of Economic Research. Retrieved from https://www.nber.org/papers/w10817.pdf
  • Boserup, E. (1981). Population and technological change: A study of long-term trends. Chicago : University of Chicago Press.
  • Ehrlich, P. (1968). The population bomb. Cutchogue, NY : Buccaneer Books. Retrieved from http://faculty.washington.edu/jhannah/geog270aut07/readings/population/Ehrlich% 20-% 20 Population%20Bomb%20Ch1.pdf
  • James, K. S. (2008). Glorifying Malthus: Current debate on demographic dividend in India. Economic and Political Weekly, 43(25) 63 – 69.
  • Kelley, A. C., & Schmidt, R. M. (1999). Economic and demographic change: A synthesis of models, findings, and perspectives. http://dx.doi.org/10.2139/ssrn.152888
  • Kremer, M. (1993). Population growth and technological change: One million BC to 1990. The Quarterly Journal of Economics, 108(3), 681– 716.
  • Kumar, U. (2010). India’s demographic transition: Boon or bane? A state-level perspective (MPRA Paper No. 24922). Retrieved from https://mpra.ub.uni-muenchen.de/24922/1/MPRA_paper_24922.pdf
  • Kuznets, S. (1967). Population and economic growth. Proceedings of the American Philosophical Society, 111(3), 170 – 193.
  • Leff, N. H. (1984). Dependency rates and savings: Another look. The American Economic Review, 74(1), 231 – 233.
  • Malthus, T. R. (1817). An essay on the principle of population. London : J. Johnson. Retrieved from http://www.esp.org/books/malthus/population/malthus.pdf
  • Mason, A. (1988). Savings, economic growth, and demographic change. Population and Development Review, 14(1), 113 – 144.
  • Office of the Registrar General and Census Commissioner of India. (2012). Population projections for India and States 2001 – 2026. Report of the Technical Group on Population Projections Constituted by the National Commission on Population. New Delhi : National Commission on Population.
  • Roychowdhury, A., Chandrasekhar, C. P., & Ghosh, J. (2006). The 'demographic dividend' and young India's economic future. Economic and Political Weekly, 41 (49), 5055 – 5064.
  • Subramaniam, D., & Ben, J. B. (2018). The relevance of skill development in the Indian context. Arthshastra Indian Journal of Economics & Research, 7(1), 25 – 36. https://doi.org/10.17010/aijer/2018/v7i1/122135
  • Thakur, V. (2012). The demographic dividend in India: Gift or curse? A state level analysis on differing age structure and its implications for India’s economic growth prospects (Working Paper Series No. 12–128). London : Development Studies Institute, London School of Economics and Political Science.

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  • Quantifying Demographic Dividend in India and its Impact on Economic Growth : A State-Level Study

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Authors

Yamini Jindal
Koan Advisory Group, A-321, Block A, Defence Colony, New Delhi - 110 024, India

Abstract


Analyzing the impact of the age-structural changes on economic growth has gained immense attention over the recent years. The present study examined the relationship between changes in the working-age population ratio and per-capita income growth. After instrumenting growth rate of working-age population ratio with birth rate at the beginning of the previous decade, working-age population (both in level and growth form) appeared to have a positive and statistically significant impact on per-capita income growth. The log of working-age population ratio was found to be robust to the inclusion of several human capital development and other policy measures such as infant mortality rate, log of per-capita development expenditure, and per-capita scheduled commercial bank credit. Moreover, growth rate of working-age population ratio was found to be robust to inclusion of infant mortality rate and per-capita scheduled commercial bank credit. At an all-India level, the addition to the per-capita income growth due to changes in the working-age population ratio from the base year (1981) onwards was found to be gradually increasing over the decades and for the period 2000s, it turned out to be almost equal to 1%. High growth rate of working-age population ratio experienced by the BIMARU states, especially over the period 2001-2011, exhibited enormous potential of contributing to the per-capita income growth. A differential lens in policy making needs to be adopted. While states with narrow window of demographic opportunity should focus on policies that are inter-state migration friendly, states with broader window of demographic opportunity should invest more in human capital development and employment generation.

Keywords


Demographic Dividend, Demographic Transition, Age Structural Dynamics, Working-Age Population, Economic Growth.

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DOI: https://doi.org/10.17010/aijer%2F2020%2Fv9i1%2F151353