Tapping Talents in India Through the Diaspora Network: Opportunities and Challenges

  • Falendra Kumar Sudan


India had a strong cultural emphasis on education both at private and government levels. Since the 1990s, government spending on education has been growing at 12 % a year, of which roughly a fifth goes towards higher education. India’s higher education system now ranks alongside that of United States in terms of scale. However, as a share of GDP total education spending is still lower than in most developed countries. India spends 4.9 % of its GDP on education against 5.7 % in OECD countries. Besides, nongovernment spending on education is a relatively high proportion of the total at 25 %. Over 12 million students were enrolled in universities and colleges of India in 2009. Roughly 20 % of students study commerce, economics or management courses, and tertiary enrolment rates are less than half those in advanced economies such as the United Kingdom. Thus, while graduate populations are large in terms of absolute numbers, for the foreseeable future, India’s economies will remain dominated by low-skilled labour. By 2030, the share of skilled labour in working population will be just 6.2 % compared to 14 % for the world as a whole and 40 % in high-income countries. This creates a big challenge as India aspires to move up the value chain. While India has made rapid strides in expanding higher education systems, it still faces a number of challenges in terms of effectively utilizing the existing supply of talent as well as increasing it sufficiently to meet the demands of a rapidly growing economy. Leveraging the expertise and knowledge of diasporas for the benefit of India is the main issue the paper addresses and it emphasizes the beginning of a new agenda of promoting policy reform and institutional innovation in collaboration with diaspora networks, which can create crucial bridges among policy, technological and managerial expertise and local scenarios.


Foreign Direct Investment Chinese Student European Union Country Brain Drain Human Capital Stock 
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  1. AAPI. (2009). American Association of Physicians of Indian Origin. Available at
  2. Adams, R. (2003). International migration, remittances and the brain drain: A study of 24 labour-exporting countries (World Bank policy research working paper 3069). Washington, DC: World Bank. June.Google Scholar
  3. Agrawal, A., Kapur, D., & McHale, J. (2008, December). Brain drain or brain bank: The impact of skilled emigration on poor-country innovation (NBER working paper no. 14592).Google Scholar
  4. Beine, M., Docquier, F., & Rapoport, H. (2001). Brain drain and economic growth: Theory and evidence. Journal of Development Economics, 64(1), 275–289.CrossRefGoogle Scholar
  5. Beine, M., Docquier, F., & Rapoport, H. (2008). Brain drain and human capital formation in developing countries: Winners and losers. Economic Journal, 118(528), 631–652.CrossRefGoogle Scholar
  6. Borta, O. (2007). Brain drain controversy. Master thesis, Department of Management and Economics, Linkoping University, Linkoping.Google Scholar
  7. Carrington, W. J., & Detragiache, E. (1998). How big is the brain drain? (IMF working paper WP/98/102). Washington, DC: International Monetary Fund. July.Google Scholar
  8. US Census Bureau. (2009). International database. Available at
  9. Chen, D., & Dahlman, C. J. (2004). Knowledge and development: A cross-section approach. Washington, DC: World Bank, pp. 4–88.Google Scholar
  10. Docquier, F., Lowell, B. L., & Marfouk, A. (2009). A gendered assessment of the brain drain. Population and Development Review, 35(2), 297–321.CrossRefGoogle Scholar
  11. Fukasaku, K. (2004, April 19–20). Overview: Miracle, crisis and beyond. Paris: OECD Development Centre.Google Scholar
  12. Garson, J. P. (2001, January 1–2). Main trends in international migration. A paper prepared for the workshop on international migration and labour market in Asia. Organized by the Japan institute of labour. Japan Institute of Labour, Tokyo: OECD and ILO.Google Scholar
  13. Heidrick & Struggles. (2013). The global talent index report: The outlook to 2015. Insights. Economist Intelligence Unit, USA. Available at
  14. Hunger, U. (2002). The “brain gain” hypothesis: Third-world elites in industrialized countries and socioeconomic development in their home country (Working paper 47). San Diego: The Center for Comparative Immigration Studies, University of California. Available at
  15. Iguchi, Y. (2002). Movement of the highly-skilled in Asia: Present situation and prospect. Migration and the labour market in Asia: Recent trends and policies. Tokyo: Japan Institute of Labour.Google Scholar
  16. India Labour Report. (2009). The geographic mismatch and a ranking of Indian states by their labour ecosystem. New Delhi: TeamLease and IIJT.Google Scholar
  17. Institute for Statistics. (2009, August). EdStats. Montreal: UNESCO.Google Scholar
  18. IOM. (2011). World migration report 2010. Geneva: International Organization for Migration.Google Scholar
  19. Ivaturi, V. K., Bruno, L., & Hrishi, M. (2009). Global mobility of talents: What will make people move, stay, or leave in 2015 and beyond? The Global Information Technology Report 2008–2009. World Economic Forum.Google Scholar
  20. Johnson, J. (2001, January). Human resource contributions to US science and engineering from China (SRS Issue Brief). Virginia: National Science Foundation.Google Scholar
  21. Kerr, W. R. (2008). Ethnic scientific communities and international technology diffusion. Review of Economics and Statistics, 90(3), 518–537.CrossRefGoogle Scholar
  22. Khadria, B. (2004a). Human resources in science and technology in India and the international mobility of highly skilled Indians (STI working paper 2004/7). Available at
  23. Khadria, B. (2004b). Migration of highly skilled Indians: Case studies of IT and health professionals (STI working paper 2004/6). Available at
  24. Kugler, M., & Rapoport, H. (2007). International labour and capital flows: Complements or substitutes? Economics Letters, 94(2), 155–162.CrossRefGoogle Scholar
  25. Kuznetsov, Y., & Sabel, C. F. (2006). Work globally, develop locally: Diaspora networks as entry point to knowledge-based development. Innovation: Management, Policy and Practice, 8(1 and 2), 45–61.Google Scholar
  26. Kuznetsov, Y., Nemirovsky, A., & Yoguel, G. (2003). Argentina’s renaissance as a knowledge economy: Role of the diaspora of highly skilled. Washington, DC: World Bank Institute, pp. 2–38.Google Scholar
  27. Lanvin, B., & Passman, P. (2008). Building e-skills for the information age. Global information technology report 2007–2008: Fostering innovation through networked readiness. Hampshire: Palgrave Macmillan, pp. 77–90.Google Scholar
  28. Lucus, R. E. B. (2001, November). Diaspora and development: Highly skilled migrants from East Asia. A report prepared for the World Bank. Washington, DC: World Bank.Google Scholar
  29. Mahroum, S. (2002, July). Europe and the prospect of brain drain (The IPTS Report. 66). Available at
  30. Marsh, P. (2004, June 21). World’s manufacturers march into China. The Financial Times, 11.Google Scholar
  31. MCIT Ministry of Communications & Information Technology. (2009). Information technology annual report 2008–09. New Delhi: Government of India.Google Scholar
  32. METI Ministry of Economy, Trade and Industry. (2003). Japanese white paper on international trade. Section 2: Utilisation of excellent overseas human resources. Tokyo.Google Scholar
  33. Monger, R., & Barr, M. (2009, April). Non-immigrant admissions to the United States: 2008. Annual flow report. Office of Immigration Statistics, Homeland Security.Google Scholar
  34. Mountford, A. (1997). Can a brain drain be good for growth in the source economy? Journal of Development Economics, 53(2), 287–303.CrossRefGoogle Scholar
  35. NCURA. (2006). Guiding principles for university-industry endeavours. USA: National Council of University Research Administrators. NCURA.Google Scholar
  36. Ndulu, B. J. (2004). Human capital flight: Stratification, globalization, and the challenges to tertiary education in Africa. JHEA/RESA, 2(1), 57–91.Google Scholar
  37. OECD. (2001). International mobility of the highly skilled. Paris: OECD.Google Scholar
  38. OECD. (2003). Science, technology and industry scoreboard. Paris: OECD.Google Scholar
  39. OECD. (2004a). Science, technology and industry outlook. Paris: OECD.Google Scholar
  40. OECD. (2004b). Main science and technology indicators. Paris: OECD.Google Scholar
  41. OECD. (2007). International migration outlook: SOPEMI – 2007 edition.Google Scholar
  42. OECD. (2012). Connecting with emigrants: A global profile of diasporas. Paris: OECD.Google Scholar
  43. OECD/AfD. (2012). Connecting with emigrants. A global profile of diasporas. Paris: OECD.Google Scholar
  44. Rai, S. (2004, December 15). From India, genius on the cheap. International Herald Tribune, 12.Google Scholar
  45. Schaaper, M. (2004). An emerging knowledge-based economy in China: Indicators from OECD databases (STI working paper 2004/4). Available at
  46. Shahin, M. (2007). A framework for university-industry relationships for the advancement of science & technology as an enabled and enabling force in Palestine. Unpublished Master project, Faculty of Science, University of Malaya.Google Scholar
  47. Song, W., & Xuan, Z. (2004, September). Preliminary analysis of China’s doctor education. OECD careers of doctorates workshop. Google Scholar
  48. UNDP. (2003). Ownership, leadership and transformation: Can we do better for capacity development? Virginia: Earthscan.Google Scholar
  49. UNDP. (2007). Human development report 2007/2008. Houndsmills, Basingstoke, Hampshire: Palgrave Macmillan. Available at
  50. UNDP. (2008). Human development report 2007/2008. Table 1. Available at
  51. UNDP. (2012). Migrants by origin and destination: The role of South-South migration, Population Facts No. 2012/3.Google Scholar
  52. UNESCO. (2007). Education for all global monitoring report 2008, Education for all by 2015: Will we make it? Paris: UNESCO.Google Scholar
  53. UNESCO. (2009). Institute for Statistics. Available at
  54. Vidal, J. P. (1998). The effect of emigration on human capital formation. Journal of Population Economics, 11(4), 589–600.CrossRefGoogle Scholar
  55. Widmaier, S., & Dumont, J. C. (2011). Are recent immigrants different? A new profile of immigrants in the OECD (DIOC 2005/2006) (OECD social, employment and migration working paper no. 126). Paris: OECD.CrossRefGoogle Scholar
  56. Wong, P.-K., Ho, Y.-P., & Singh, A. (2007). Towards an “entrepreneurial university” model to support knowledge-based economic development: The case of the national university of Singapore’. World Development, 35(6), 941–958.CrossRefGoogle Scholar
  57. World Bank. (2008). World development indicators online database. Washington, DC: World Bank.Google Scholar
  58. World Bank Group (2008). Doing business 2009. Washington, DC: World Bank. Available at
  59. World Economic Forum. (2008). The global information and technology report 2008–2009. World Economic Forum. Executive Opinion Survey 2007.Google Scholar

Copyright information

© Springer India 2014

Authors and Affiliations

  1. 1.Department of EconomicsUniversity of JammuJammuIndia

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