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Network analysis of the US industries interconnection

https://doi.org/10.37791/1993-7598-2020-14-2-48-59

EDN: BUTHFT

Abstract

In this paper, we publish the results of a study of the US economy interconnections, using network analysis. The study is based on modern and classic scientific papers on cross-sectoral and network economic analysis, as well as on the official statistics published in the USA. The purpose of the study is to identify those industries where economic shocks will have the greatest impact on the entire US economic system. The work is equipped with the necessary general theoretical information and a description of the research methodology. In the course of the study, were analyzed different in composition and number groups of sectors of the US economy and were constructed the graphs reflecting the structure of the industries network interaction in each of the considered groups. There is also made the calculations of various numerical values of the centrality of networks for each of the studied groups of US industries. For each of the numerical values of centrality of the used network are given the necessary explanations. The study shows the industry leaders for each of the calculated centrality values of the network for each of the studied groups of the US industries for which calculations were carried out. The obtained results were evaluated and interpreted to the required extent. In addition, the obtained data of the values of the centrality of economic networks were compared with indicators of real value added by sectors of the economy. During the study and in its results, a number of different conclusions were formulated, which are also sequentially presented in the text of this publication, including all the necessary comments and explanations. In particular, it has been shown that the most “central” sector of the US economy is “transportation and warehousing”.

About the Authors

Alexei Altoukhov
Lomonosov Moscow state University


Urmat Dgunkeev
Lomonosov Moscow state University


Artem Makoveev
Lomonosov Moscow state University


Sergey Tishchenko
Lomonosov Moscow state University


References

1. Acemoglu D., Ozdaglar A., Tahbaz- Salehi A. Microeconomic Origins of Macroeconomic Tail Risks // American Economic Review. 2017. Vol. 107. No. 1. Pp. 54- 108.

2. Bloch F., Jackson M. O., Tebaldi P. Centrality Measures in Networks, arXiv: 1608. 05845v1 [physics. soc-ph]. 2016. 20 Aug (August).

3. Calvanho V. From Micro to Macro via Production Networks // Journal of Economic Perspectives. 2014. Vol. 28. No. 4. Pp. 23-48.

4. Hua J., Huang M., Huang C. Centrality Metrics' Performance Comparisons on Stock Market Datasets // Symmetry. 2019. No 11 (7), 916.

5. Jackson M. Networks in the Understanding of Economic Behaviors // Journal of Economic Perspectives. 2014. Vol. 29. No. 4. Pp. 3-22.

6. Jackson M., Rogers B., Zenou Y. The Economic Consequences of Social-Network Structure // Journal of Economic Literature. 2017. Vol. 55. No. 1. Pp. 49-95.

7. Leontief W. Some Basic Problems of Empirical Input- Output Analysis, In: Input-Output Analysis: An Appraisal // NBER Book Series Studies in Income and Wealth. 1955. Pp. 9-52.

8. Xu M., Liang S. Input-output networks offer new insights of economic structure // Physica A: Statistical Mechanics and Its Applications. 2019. No 527. Pp. 121-178.

9. Industry-by-Industry Total Requirements [Электронный ресурс] // Сайт "Bureau of Economic Analysis", 2020. URL: https://apps.bea.gov/iTable/iTable.cfm?reqid=52&step=10 2&isuri=1&table_list=10&aggregation=sec, свободный. - Загл. с экрана.

10. Industry by Industry / After Redefinitions / Producer Value [Электронный ресурс] // Сайт "Bureau of Economic Analysis", 2020. URL: https://www.bea.gov/industry/input- output-accounts-data, свободный. - Загл. с экрана.

11. Real GDP [Электронный ресурс] // Сайт: "FRED St. Louis", 2020. URL: https://fred.stlouisfed.org/series/ GDPCA, свободный. - Загл. с экрана.

12. Total Factor Productivity at Constant National Price [Электронный ресурс] // Сайт: "FRED St. Louis", 2020. URL: https://fred.stlouisfed.org/series/RTFPNAUSA632NRUG, свободный. - Загл. с экрана.

13. Industrial Production Index [Электронный ресурс] // Сайт

14. "FRED St. Louis", 2020. URL: https://fred.stlouisfed.org/ series/INDPRO, свободный. - Загл. с экрана.All Employees, Total Private [Электронный ресурс] // Сайт: "FRED St. Louis", 2020. URL: https://fred.stlouisfed. org/series/USPRIV, свободный. - Загл. с экрана.

15. Real value added by industry (billions of chained (2012) dollars) [Электронный ресурс] // Сайт "Bureau of Economic Analysis", 2020. URL: https://apps.bea.gov/ iTable/iTable.cfm?reqid=51&step=51&isuri=1&startyear=20 18&table_list=10&series=a&endyear=1&valuationtype=b& thetable=1&codelist=22r, свободный. - Загл. с экрана.

16. North American Industry Classification System [Электронный ресурс]. URL: https://www.naics.com/naics-code- description/?code=48-49, свободный. - Загл. с экрана.


Review

For citations:


Altoukhov A., Dgunkeev U., Makoveev A., Tishchenko S. Network analysis of the US industries interconnection. Journal of Modern Competition. 2020;14(2):48-59. https://doi.org/10.37791/1993-7598-2020-14-2-48-59. EDN: BUTHFT

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ISSN 1993-7598 (Print)
ISSN 2687-0657 (Online)