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Academic Journal of Business & Management, 2024, 6(4); doi: 10.25236/AJBM.2024.060419.

Industrial Intelligent Infrastructure, Labor Inflow and Integration of the Two Industries—Based on the Empirical Analysis of Guangdong

Author(s)

Xie Changqing, Zhao Xinyue, Chen Jiajia

Corresponding Author:
Xie Changqing
Affiliation(s)

School of Economics and Management, Foshan University of Science and Technology, Foshan, China

Abstract

Using the panel data of prefecture-level cities in Guangdong Province from 2011 to 2021, this paper investigates the impact of new digital infrastructure on the integration of two industries and its possible spatial spillover effect, and further examines the heterogeneity of different regions and different ways of industrial integration. The results show that: (1) the new digital infrastructure has an obvious promoting effect on the integration of the two industries, and promotes the integration of the two industries by attracting the inflow of labor force. (2) The integration effect of the new digital infrastructure has the heterogeneity of the integration mode. Compared with the coupling degree of the two industries, the new digital infrastructure has a greater impact on the coordination degree of the two industries. (3) The new digital infrastructure has a spatial spillover effect on the development of the integration of the two industries, and the direct regional effect is larger than the spatial spillover effect. This study is helpful to clarify the relationship between the new digital infrastructure and the integration of the two industries, and provide corresponding policy suggestions for promoting the balanced development of the integration of the two industries in Guangdong Province.

Keywords

Industrial intelligent infrastructure; Advanced manufacturing industry; Modern service industry; Industrial integration

Cite This Paper

Xie Changqing, Zhao Xinyue, Chen Jiajia. Industrial Intelligent Infrastructure, Labor Inflow and Integration of the Two Industries—Based on the Empirical Analysis of Guangdong. Academic Journal of Business & Management (2024) Vol. 6, Issue 4: 118-124. https://doi.org/10.25236/AJBM.2024.060419.

References

[1] Choi C, Yi M H. The effect of the Internet on economic growth: Evidence from cross-country panel data[J]. Economics Letters, 2009, 105(1):39-41. 

[2] Silva V L, Kovaleski J L, Pagani R N. Technology Transfer and Human Capital in the Industrial 4. 0 Scenario: A Theoretical Study[J]. Future Studies Research Journal Trends and Strategies, 2019(1):102-122. 

[3] Autor D H, Dorn D. The Growth of Low-Skill Service Jobs and the Polarization of the US Labor Market. American Economic Review, 2013, 103(5):1553-97. 

[4] Czernich N, Falck O, Kretschmer T,et al. Broadband Infrastructure and Economic Growth[J]. Economic Journal, 2011, 121(552):505-532. 

[5] J Lin, Z Yu,Y H D Wei,M F Wang. Internet Access, Spillover and Regional Development in China, Sustainability, 2017, 9 (6):946-964. 

[6] Kromann L, Skaksen J R, Srensen A. Automation, labor productivity and employment:A cross country comparison[R]. CEBR. Copenhagen Business School.  2011. 

[7] DeCanio, Stephen, J. Robots and humans-complements or substitutes?[J]. Journal of Macroeconomics, 2016(49):280-291. 

[8] Hanson R. Economic growth given machine intelligence[J]. Journal of Artificial Intelligence Research, 2001(5) 1-13. 

[9] Elhorts P. Dynamic spatial panels: Models, methods, and inferences[J]. Journal of Geographical Systems, 2012, 14(1): 5-28. 

[10] Lesage J P, Pace R K. Introduction to spatial econometrics[M]. Boca Raton:CRC Press,2009.