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Where are the jobs? Estimating skill-based employment linkages across sectors for the Indian economy: An input-output analysis

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  • Bhattacharya, Tulika
  • Bhandari, Bornali
  • Bairagya, Indrajit

Abstract

The objective of this paper is to identify the sectors of the Indian economy that are able to generate different types of skilled employment (both directly and indirectly) through an estimation of their employment linkage effects with respect to varying levels of skills, using the Input–Output technique. The contribution of this paper lies in its redefining ‘skill’ by combining three types of education - general, vocational and technical – for arriving at four types of skilled employment categories—low, low-medium, medium-high and high skilled. The paper incorporates these four types of skilled employment into an Input–Output framework, using the World Input–Output Database for estimating the forward and backward employment linkages with respect to four different skill types for India for 2004–05 and 2011–12. The estimation of these employment linkage effects is critical for identifying the key employment-generating sectors of the Indian economy characterized by varying levels of skill. Moreover, a comparison of these linkage effects for two time-periods at varying levels of skill across sectors helps understand changing nature of employment structure over time, and how it varies across sectors.

Suggested Citation

  • Bhattacharya, Tulika & Bhandari, Bornali & Bairagya, Indrajit, 2020. "Where are the jobs? Estimating skill-based employment linkages across sectors for the Indian economy: An input-output analysis," Structural Change and Economic Dynamics, Elsevier, vol. 53(C), pages 292-308.
    • Handle: RePEc:eee:streco:v:53:y:2020:i:c:p:292-308
    DOI: 10.1016/j.strueco.2020.03.003
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    1. Michael P. Keane & Eswar S. Prasad, 1991. "The relation between skill levels and the cyclical variability of employment, hours and wages," Discussion Paper / Institute for Empirical Macroeconomics 41, Federal Reserve Bank of Minneapolis.
    2. Ministry of Finance, Government of India,, 2016. "Economic Survey 2015-16," OUP Catalogue, Oxford University Press, number 9780199469284.
    3. Orrenius, Pia M. & Zavodny, Madeline, 2007. "Does immigration affect wages? A look at occupation-level evidence," Labour Economics, Elsevier, vol. 14(5), pages 757-773, October.
    4. Louise Fox & Melissa Sekkel Gaal, 2008. "Working Out of Poverty : Job Creation and the Quality of Growth in Africa," World Bank Publications - Books, The World Bank Group, number 6434.
    5. Katz, Lawrence F. & Autor, David H., 1999. "Changes in the wage structure and earnings inequality," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 3, chapter 26, pages 1463-1555, Elsevier.
    6. K L Krishna & Suresh Aggarwal & Abdul A Erumban & Deb Kusum Das, 2016. "Structural Changes in Employment in India, 1980-2011," Working papers 262, Centre for Development Economics, Delhi School of Economics.
    7. Amrit Amirapu & Arvind Subramanian, 2015. "Manufacturing or Services? An Indian Illustration of a Development Dilemma," Working Papers id:7521, eSocialSciences.
    8. Valadkhani, A, 2003. "Using Input-Output Analysis to Identify Australia's High Employment Generating Industries," Australian Bulletin of Labour, National Institute of Labour Studies.
    9. Gala, Paulo & Camargo, Jhean & Magacho, Guilherme & Rocha, Igor, 2018. "Sophisticated jobs matter for economic complexity: An empirical analysis based on input-output matrices and employment data," Structural Change and Economic Dynamics, Elsevier, vol. 45(C), pages 1-8.
    10. David H. Autor & Frank Levy & Richard J. Murnane, 2003. "The skill content of recent technological change: an empirical exploration," Proceedings, Federal Reserve Bank of San Francisco, issue Nov.
    11. Ernst R. Berndt & Catherine J. Morrison & Larry S. Rosenblum, 1992. "High-Tech Capital Formation and Labor Composition in U.S. Manufacturing Industries: An Exploratory Analysis," NBER Working Papers 4010, National Bureau of Economic Research, Inc.
    12. Barbara Pertold-Gebicka, 2010. "Measuring Skill Intensity of Occupations with Imperfect Substitutability Across Skill Types," CERGE-EI Working Papers wp421, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
    13. Alexandra Spitz-Oener, 2006. "Technical Change, Job Tasks, and Rising Educational Demands: Looking outside the Wage Structure," Journal of Labor Economics, University of Chicago Press, vol. 24(2), pages 235-270, April.
    14. Dunne, Timothy & Haltiwanger, John & Troske, Kenneth R., 1997. "Technology and jobs: secular changes and cyclical dynamics," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 46(1), pages 107-178, June.
    15. David H. Autor & Lawrence F. Katz & Melissa S. Kearney, 2006. "The Polarization of the U.S. Labor Market," American Economic Review, American Economic Association, vol. 96(2), pages 189-194, May.
    16. Erumban, Abdul Azeez & Das, Deb Kusum & Aggarwal, Suresh & Das, Pilu Chandra, 2019. "Structural change and economic growth in India," Structural Change and Economic Dynamics, Elsevier, vol. 51(C), pages 186-202.
    17. Maarten Goos & Alan Manning, 2007. "Lousy and Lovely Jobs: The Rising Polarization of Work in Britain," The Review of Economics and Statistics, MIT Press, vol. 89(1), pages 118-133, February.
    18. Aradhna Aggarwal, 2018. "Economic Growth, Structural Change and Productive Employment Linkages in India," South Asia Economic Journal, Institute of Policy Studies of Sri Lanka, vol. 19(1), pages 64-85, March.
    19. Oecd, 1998. "OECD Data on Skills: Employment by Industry and Occupation," OECD Science, Technology and Industry Working Papers 1998/4, OECD Publishing.
    20. Tulika Bhattacharya & Meenakshi Rajeev & Indrajit Bairagya, 2018. "Are high-linked sectors more productive in India? An analysis under an input–output framework," Indian Economic Review, Springer, vol. 53(1), pages 333-367, December.
    21. Tulika Bhattacharya & Meenakshi Rajeev, 2014. "Input-Output Linkages across Sectors and Employment Challenge in Indian Economy," Artha Vijnana, Gokhale Institute of Politics and Economics, vol. 56(1), pages 61-78.
    22. Steve J. Davis & John Haltiwanger, 1991. "Wage Dispersion Between and Within U.S. Manufacturing Plants, 1963-1986," NBER Working Papers 3722, National Bureau of Economic Research, Inc.
    23. Roy, Satyaki, 2007. "Structural change in employment in India since 1980s: How Lewisian is it?," MPRA Paper 18009, University Library of Munich, Germany, revised 2008.
    24. Amrit Amirapu and Arvind Subramanian, 2015. "Manufacturing or Services? An Indian Illustration of a Development Dilemma - Working Paper 409," Working Papers 409, Center for Global Development.
    25. Holger Görg & Frances Ruane, 2000. "An Analysis of Backward Linkages in the Irish Electronics Sector," The Economic and Social Review, Economic and Social Studies, vol. 31(3), pages 215-235.
    26. Radhicka Kapoor, 2014. "Creating Jobs in India’s Organised Manufacturing Sector," Working Papers id:6208, eSocialSciences.
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    Cited by:

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    2. Rodolfo Metulini & Giorgio Gnecco & Francesco Biancalani & Massimo Riccaboni, 2023. "Hierarchical clustering and matrix completion for the reconstruction of world input–output tables," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 107(3), pages 575-620, September.
    3. Guo, Zhi & Mao, Xianqiang & Lu, Jianhong & Gao, Yubing & Chen, Xing & Zhang, Shining & Ma, Zhiyuan, 2024. "Can a new power system create more employment in China?," Energy, Elsevier, vol. 295(C).

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    More about this item

    Keywords

    Skills; Employment linkages; Input–Output;
    All these keywords.

    JEL classification:

    • C67 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Input-Output Models
    • J21 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Force and Employment, Size, and Structure
    • J23 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Demand
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity

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