Advances in Economics, Management and Political Sciences

- The Open Access Proceedings Series for Conferences


Proceedings of the 7th International Conference on Economic Management and Green Development

Series Vol. 44 , 10 November 2023


Open Access | Article

Unemployment in the United States—Economic Inequality in the Context of Industrial-technological Upgrading and Outsourcing in the United States Since the 1990s

Shuhui Wang * 1
1 Arlington Catholic High School

* Author to whom correspondence should be addressed.

Advances in Economics, Management and Political Sciences, Vol. 44, 40-46
Published 10 November 2023. © 2023 The Author(s). Published by EWA Publishing
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Citation Shuhui Wang. Unemployment in the United States—Economic Inequality in the Context of Industrial-technological Upgrading and Outsourcing in the United States Since the 1990s. AEMPS (2023) Vol. 44: 40-46. DOI: 10.54254/2754-1169/44/20232182.

Abstract

There is significant concern that industrial-technological upgrading and outsourcing in the United States have led to increased economic inequality since the 1990s. In the fourth Industrial Revolution, computerization, automation, and artificial intelligence allowed American companies to preserve their technological core competencies and outsource non-core activities to foreign countries. This paper aims to provide the classical vocabulary on this topic, an analysis of the U.S.’s industrial-technological upgrading and outsourcing circumstances, and an explanation of their influence on the widening economic gap since the 1990s. This paper found that the three trends share a synchronous and reinforcing relationship, which can find support in Bruno Latour’s actor-network theory. Businesses that engaged in outsourcing activities benefited financially. While low-skilled and high-skilled workers are both at risk of losing their jobs because of improved technology, the former is more vulnerable. Industrial-technological upgrading facilitates outsourcing, and outsourcing facilitates the former in return. They both contribute to a widening economic gap. This paper was written when many questions arose on the subject. It connects industrial-technological upgrading with outsourcing, which previous research failed to do.

Keywords

industrial-technological upgrading, technological unemployment, automation, outsourcing, economic inequality

References

1. The Fed-Distribution: Distribution of Household Wealth in the U.S. since 1989. (2023). The Fed-Distribution: Distribution of Household Wealth in the U.S. Since 1989. https://www.federalreserve.gov/releases/z1/dataviz/dfa/distribute/chart/.

2. Household income Gini Index U.S. 2021 | Statista. (n.d.). Statista. https://www.statista.com/statistics/219643/gini-coefficient-for-us-individuals-families-and-households/.

3. Mitchell, T. (2020). Most Americans Say There Is Too Much Economic Inequality in the U.S., but Fewer Than Half Call It a Top Priority. Pew Research Center’s Social & Demographic Trends Project. https://www.pewresearch.org/social-trends/2020/01/09/most-americans-say-there-is-too-much-economic-inequality-in-the-u-s-but-fewer-than-half-call-it-a-top-priority/.

4. Kagerman, H., Andrel, R., Gausemier, J., Schuh, G. and Wahlster, W. (2016). Industrie 4.0 in a Global Context. https://www.acatech.de/wp-content/uploads/2016/11/acatech_eng_STUDIE_Industrie40_global_Web.pdf.

5. Campa, R. (2018). Technological Unemployment. A Brief History of an Idea. 6, 57-79.

6. Triplett, J. E. and Bosworth, B. P. (2004). Productivity in the U. S. Services Sector: New Sources of Economic Growth. doi:10.1604/9780815796633.

7. Meike, S. G., Carlos, P. and Andrew, F. (2019). On Technology, Capitalism, Art and Imagination: Interview with Andrew Feenberg by Meike Schmidt-Gleim and Carlos Pérez López for the Editorial Board of Anthropology & Materialism. A Journal of Social Research. doi:10.4000/am.1478.

8. Krousie, C. (2018). Technological Unemployment in the United States: A State-Level Analysis. Major Themes in Economics, 20, 87-101.

9. Clague, E. (1935). The Problem of Unemployment and the Changing Structure of Industry. Journal of the American Statistical Association, 30, 209-214.

10. Feldmann, H. (2013). Technological unemployment in industrial countries. Journal of Evolutionary Economics, 23(5), 1099–1126.

11. Kapeliushnikov, R. (2019). The phantom of technological unemployment. Russian Journal of Economics, 5(1), 88–116.

12. Brynjolfsson, E. and McAfee, A. P. (2011). Race against the machine: how the digital revolution is accelerating innovation, driving productivity, and irreversibly transforming employment and the economy.

13. Frey, C. B. and Osborne, M. A. (2017). The future of employment: How susceptible are jobs to computerisation? Technological Forecasting and Social Change, 114, 254–280.

14. Zippia. 35+ Alarming Automation & Job Loss Statistics [2023]: Are Robots, Machines, And AI Coming For Your Job? Zippia.com. Jun. 8, 2023, https://www.zippia.com/advice/automation-and-job-loss-statistics/.

15. Dolgui, A. and Proth, J. M. (2013). Outsourcing: definitions and analysis. International Journal of Production Research, 51(23–24), 6769–6777.

16. Hughes, J. J. and LaGrandeur, K. (Eds.). (2017). Surviving the Machine Age: Intelligent Technology and the Transformation of Human Work. Palgrave Macmillan. doi:10.1007/978-3-319-51165-8. ISBN:978-3-319-51164-1.

17. Prahalad, C. K. (1993). The Role of Core Competencies in the Corporation. Research-Technology Management, 36(6), 40–47.

18. Coombs, R. (1996). Core Competencies and the Strategic Management of R&D. R&D Management, 26, 345-355.

19. Lacity, M. and Rudramuniyaiah, P. S. (2009). Funny Business: Public Opinion of Outsourcing and Offshoring as Reflected in U.S. and Indian Political Cartoons. Communications of the Association for Information Systems, 24(13).

20. Mocan, H. N. (1999). Structural Unemployment, Cyclical Unemployment, and Income Inequality. The Review of Economics and Statistics, 81(1), 122–134.

21. Morrison P. C. J. and Siegel, D. S. (2001). The Impacts of Technology, Trade and Outsourcing on Employment and Labor Composition. Scandinavian Journal of Economics, 103(2), 241–264.

22. Wolcott, E. L. (2021). Employment inequality: Why do the low-skilled work less now? Journal of Monetary Economics, 118, 161–177.

23. Keuschnigg, C. and Ribi, E. (2008). Outsourcing, Unemployment and Welfare Policy. SSRN Electronic Journal. doi:10.2139/ssrn.1299543.

24. Hay, J. and Fricker, M. (2004). $1 Billion impact: Effect in Sonoma County goes beyond jobs lost to off shoring. The Press Democrat, p. A. 1. Retrieved April 22, 2007, Business Dateline database.

25. Hira, R. and Hira, A. (2005). Outsourcing America: What’s Behind Our National Crisis and How We Can Reclaim American Jobs. Published by AMACOM. ISBN:0814408680.

26. The many ways to measure economic inequality. (2015). Pew Research Center. https://www.pewresearch.org/short-reads/2015/09/22/the-many-ways-to-measure-economic-inequality/.

27. Bartel, A. P., Lach, S. and Sicherman, N. (2005). Outsourcing and Technological Change. CEPR Discussion Paper Series.

28. Panko, R. (2019). Small Business Outsourcing Statistics in 2019. Clutch. https://clutch.co/bpo/virtual-assistants/resources/small-business-outsourcing-statistics.

29. Lamb, R. (Ed.). (1984). Competitive Strategic Management. Published by Prentice-Hall. ISBN:0131549723, 9780131549722.

30. Denicolai, S., Strange, R. and Zucchella, A. (2015). The Dynamics of the Outsourcing Relationship. Progress in International Business Research, 341–364.

31. Lynn, B. C. (2009). How Detroit Went Bottom-Up. The American Prospect. https://prospect.org/api/content/2751d953-0f2d-5c00-997f-cb94a4cafc1b/.

32. Lima, Y., Barbosa, C. E., dos Santos, H. S. and de Souza, J. M. (2021). Understanding Technological Unemployment: A Review of Causes, Consequences, and Solutions. Societies, 11(2), 50.

Data Availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License. Authors who publish this series agree to the following terms:

1. Authors retain copyright and grant the series right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this series.

2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the series's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this series.

3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See Open Access Instruction).

Volume Title
Proceedings of the 7th International Conference on Economic Management and Green Development
ISBN (Print)
978-1-83558-109-4
ISBN (Online)
978-1-83558-110-0
Published Date
10 November 2023
Series
Advances in Economics, Management and Political Sciences
ISSN (Print)
2754-1169
ISSN (Online)
2754-1177
DOI
10.54254/2754-1169/44/20232182
Copyright
10 November 2023
Open Access
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited

Copyright © 2023 EWA Publishing. Unless Otherwise Stated