IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/123142.html

Analyzing technology aspect of India's manufacturing: The global context and future of work

Author

Listed:
  • Tandon, Anjali

Abstract

Although developed countries lead in technological advancements and adoption, nations in the Global South are not immune to their effects due to increasingly borderless interactions. The extent of transformation will depend on the economic and technological feasibility in the less developed economies suggesting the co-existence of existing technologies even though the technology frontier continues to shift upwards. Therefore, it is intriguing to understand the relative significance of the distinguished technology levels in terms of their employment base and also for different typologies (e.g. employment-intensive, export-oriented, import-dependent, etc.) of the industry. In the backdrop of the likely non-uniform technology impact across regions and countries and the likely existence of the different levels of technology, the paper has two key objectives. First, to present a balanced view of the possible challenges and opportunities from the technology transition across the regions. However, the linkage between technology (as in innovation) and employment is also influenced by the sector where the firm operates. Technology response of the sector tends to vary due to factors including the richness of technological opportunities, cumulativeness of the knowledge base, or the means to protect the economic benefits of innovation/ technology. The view motivates the second objective to classify the broad manufacturing into sectors by different technology levels, viz., high-, medium-high-, medium-low-, and low-technology, and study their relative significance in employment, value added, export, imports and output in the manufacturing segment of the Indian economy. The present paper contributes through providing a technology profile of the Indian manufacturing by classifying sectors into four categories, originally based on the R&D intensities as defined by the OECD. The technology categorization takes into account the R&D spending as a proportion of the value added and output of the industry in the ISIC Revision 3 nomenclature. By extending the classification to the more recent ISIC Revision 4 (which is also aligned to the National Industrial Classification 2008 in India), we classify each of the 69 manufacturing sectors reported in the India Input-Output database for a recently available year which are further grouped into 17 sectors for comprehensiveness while also maintaining their distinguished technology categorization, the paper uses the classification in the Indian context. The four technology categories are assessed for their relative significance in terms of supporting employment, exports, imports and output of the manufacturing sectors. Also analyzed in the paper is the sector-level labour productivity, employment intensity, export intensity and import intensity based on the technology classification. The paper concludes with a broad recommendation in view of the increasing and pervasive use of technology across different parts of the world. In the Indian context, based on the analysis of the Indian manufacturing sectors, strategic interventions are suggested for better performance of the technology sectors and to minimize the frictions between technology and jobs in the future times. Proposals for investment in workforce development activities for effective job creation are discussed.

Suggested Citation

  • Tandon, Anjali, 2024. "Analyzing technology aspect of India's manufacturing: The global context and future of work," MPRA Paper 123142, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:123142
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/123142/1/MPRA_paper_123142.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Pankaj Vashisht, 2018. "Destruction or Polarization: Estimating the Impact of Technology on Jobs in Indian Manufacturing," The Indian Journal of Labour Economics, Springer;The Indian Society of Labour Economics (ISLE), vol. 61(2), pages 227-250, June.
    2. Neil Lee & Andrés Rodríguez-Pose, 2016. "Is There Trickle-Down from Tech? Poverty, Employment, and the High-Technology Multiplier in U.S. Cities," Annals of the American Association of Geographers, Taylor & Francis Journals, vol. 106(5), pages 1114-1134, September.
    3. Mani, Sunil, 2000. "Exports of High Technology Products from Developing Countries: Is it Real or a Statistical Artifact?," UNU-INTECH Discussion Paper Series 2000-01, United Nations University - INTECH.
    4. Daron Acemoglu, 2002. "Technical Change, Inequality, and the Labor Market," Journal of Economic Literature, American Economic Association, vol. 40(1), pages 7-72, March.
    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. Li, Shiyuan & Li, Yumin, 2021. "The Impact of Mobile Phone Adoption on Income Inequality," MPRA Paper 110969, University Library of Munich, Germany.
    2. Chandan Sharma & Ritesh Kumar Mishra, 2023. "Imports, technology, and employment: Job creation or creative destruction," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 44(1), pages 152-170, January.
    3. Daniel Ştefan Armeanu & Georgeta Vintilă & Ştefan Cristian Gherghina, 2017. "Empirical Study towards the Drivers of Sustainable Economic Growth in EU-28 Countries," Sustainability, MDPI, vol. 10(1), pages 1-22, December.
    4. Checchi, Daniele & Visser, Jelle & van de Werfhorst, Herman G., 2007. "Inequality and Union Membership: The Impact of Relative Earnings Position and Inequality Attitudes," IZA Discussion Papers 2691, IZA Network @ LISER.
    5. Dimitris Pavlopoulos & Ruud Muffels & Jeroen Vermunt, 2010. "Wage mobility in Europe. A comparative analysis using restricted multinomial logit regression," Quality & Quantity: International Journal of Methodology, Springer, vol. 44(1), pages 115-129, January.
    6. Jae Song & David J Price & Fatih Guvenen & Nicholas Bloom & Till von Wachter, 2019. "Firming Up Inequality," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 134(1), pages 1-50.
    7. Baird, Matthew D. & Engberg, John & Gutierrez, Italo A., 2022. "RCT evidence on differential impact of US job training programmes by pre-training employment status," Labour Economics, Elsevier, vol. 75(C).
    8. Keller, Elisa, 2019. "Labor supply and gender differences in occupational choice," European Economic Review, Elsevier, vol. 115(C), pages 221-241.
    9. Luca Marchiori & I-Ling Shen & Frédéric Docquier, 2013. "Brain Drain In Globalization: A General Equilibrium Analysis From The Sending Countries' Perspective," Economic Inquiry, Western Economic Association International, vol. 51(2), pages 1582-1602, April.
    10. Patricia Crifo & Etienne Lehmann, 2001. "Why the Kuznets Curve Will Always Reverse," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00150324, HAL.
    11. Daron Acemoglu & Amy Finkelstein, 2008. "Input and Technology Choices in Regulated Industries: Evidence from the Health Care Sector," Journal of Political Economy, University of Chicago Press, vol. 116(5), pages 837-880, October.
    12. Kubitza, Christoph & Dib, Jonida Bou & Kopp, Thomas & Krishna, Vijesh V. & Nuryartono, Nunung & Qaim, Matin & Romero, Miriam & Klasen, Stephan, 2019. "Labor savings in agriculture and inequality at different spatial scales: The expansion of oil palm in Indonesia," EFForTS Discussion Paper Series 26, University of Goettingen, Collaborative Research Centre 990 "EFForTS, Ecological and Socioeconomic Functions of Tropical Lowland Rainforest Transformation Systems (Sumatra, Indonesia)".
    13. Dezhong Duan & Qifan Xia, 2022. "From the United States to China? A trade perspective to reveal the structure and dynamics of global electronic‐telecommunications," Growth and Change, Wiley Blackwell, vol. 53(2), pages 823-847, June.
    14. Carlos Medina & Christian Posso, 2010. "Technical Change and Polarization of the Labor Market: Evidence for Brazil, Colombia and Mexico," Borradores de Economia 614, Banco de la Republica de Colombia.
    15. Mario Reinhold & Stephan Thomsen, 2017. "The changing situation of labor market entrants in Germany [Die veränderliche Situation für Berufseinsteiger in Deutschland]," Journal for Labour Market Research, Springer;Institute for Employment Research/ Institut für Arbeitsmarkt- und Berufsforschung (IAB), vol. 50(1), pages 161-174, August.
    16. Hilal Atasoy & Rajiv D. Banker & Paul A. Pavlou, 2016. "On the Longitudinal Effects of IT Use on Firm-Level Employment," Information Systems Research, INFORMS, vol. 27(1), pages 6-26, March.
    17. Haonan Chen & Xiaoning Cui & Zhi Li, 2025. "Research on the Impact of Digital-Realistic Integration to Promote Sustainable Development of Enterprises: Based on the Perspective of Technology Bias," SAGE Open, , vol. 15(2), pages 21582440251, April.
    18. Paolo Seri, 2014. "The role of proximity in retrospective: organizations, ICT and human resources in Italian traditional districts? firms," Working Papers 1404, University of Urbino Carlo Bo, Department of Economics, Society & Politics - Scientific Committee - L. Stefanini & G. Travaglini, revised 2014.
    19. James Spletzer & Elizabeth Weber Handwerker, 2015. "The Role of Establishments and the Concentration of Occupations in Wage Inequality," Working Papers id:7427, eSocialSciences.
    20. Shiyuan Pan & Heng-fu Zou & Tailong Li, 2010. "Patent Protection, Technological Change and Wage Inequality," CEMA Working Papers 437, China Economics and Management Academy, Central University of Finance and Economics.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • L6 - Industrial Organization - - Industry Studies: Manufacturing
    • O14 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Industrialization; Manufacturing and Service Industries; Choice of Technology

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    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:pra:mprapa:123142. 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: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.html .

    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.