Artificial Intelligence, Employment Structure and High-Quality Development

Abstract

Abstract: As a leading force in a new round of scientific and technological revolution and industrial transformation, artificial intelligence (AI) is bound to have a profound impact on the high-quality development. Based on the panel data of 283 cities in China from 2008 to 2019 and bringing the employment structure of the labor force with different skills into the analytical framework of AI and high-quality development, this paper conducts an empirical study. The findings show that the application of AI can promote the upgrading of urban industrial structure, raise the level of urban technological innovation and green and low carbon, so as to further promote the high-quality development of the cities. From the perspective of the theoretical mechanism, the application of AI can promote high-quality urban development by reducing the employment share of low-skilled labors and increasing the employment share of high-skilled labors. From the perspective of different regions, the application of AI in the eastern region can significantly promote the high-quality development of the cities, and the high-skilled labor force will strengthen the impact of AI on the high-quality development; while the application of AI in the northeast region will significantly inhibit the high-quality development, and the low-skilled labor force will intensify the inhibition of AI on the high-quality development. The above conclusions suggest that the application of AI should be actively promoted to enable the high-quality development. Meanwhile, different regions should formulate differentiated AI development strategies according to the objective realities, such as employment structure and so on.

Key words: artificial intelligence, high-quality development, employment structure, industrial robot

SHI Dan, YE Yun-ling. Artificial Intelligence, Employment Structure and High-Quality Development[J]. JOURNAL OF CONTEMPORARY FINANCE AND ECONOMICS, 2023, 0(2): 3-17.

References

[1] Acemoglu D., Restrepo P.Robots and Jobs: Evidence from US Labor Markets[J]. Journal of Political Economy, 2020, 128(6): 2188-2244.
[2] Acemoglu D., Restrepo P.Secular Stagnation? The Effect of Aging on Economic Growth in the Age of Automation[J]. American Economic Review, 2017, 107(5): 174-179.
[3] Aghion P., Festré A. Schumpeterian Growth Theory, Schumpeter, and Growth Policy Design[J]. Journal of Evolutionary Economics, 2017, 27(1): 25-42.
[4] Cheng Q., Wu D.Research on Transformation and Upgrading of Traditional Industries Driven by Scientific and Technological Innovation[J]. Scientific Management Research, 2015, (4): 58-61.
[5] Cheng W.X., Qian X. F. Digital Economy and China's Industrial Green Total Factor Productivity Growth[J]. Inquiry into Economic Issues, 2021, (8): 124-140.
[6] Dai X., Yang S.Z. Digital Empowerment, Digital Input Sources and Green Transformation of Manufacturing Industry[J]. China Industrial Economics, 2022, (9): 83-101.
[7] Fang X.X., Li X. H. Heterogeneous Domestic Market Expansion and China's Industrial Development: A Case Study of Industrial Robot Industry[J]. Qilu Journal, 2022, (4): 116-130.
[8] Fu C.Y., Yang Y. L. Measurement and Evaluation of Industrial Development Quality in the Process of Industrialization in China[J]. The Journal of Quantitative & Technical Economics, 2020, (3): 3-25.
[9] Geng Z. H., Wang W. X., Guo W. F. Artificial Intelligence and High-Quality Development of China's Industry--Based on Empirical Analysis of Industrial Upgrading and Industrial Structure Optimization[J]. Macroeconomics,2021, (12): 38-52+82.
[10] Han F., Yang L. G. How Does the Agglomeration of Producer Services Affect the Upgrading of Manufacturing Structure?--A Comprehensive Framework of Agglomeration Economy and Schumpeterian Endogenous Growth Theory[J]. Management World, 2020, (2): 72-94+219.
[11] Han Y.H., Huang L. X., Wang X. B. Has Industrial Policy Promoted the Upgrading of Local Industrial Structure?--Theoretical Explanation and Empirical Test Based on Development-Oriented Local Government[J]. Economic Research Journal, 2017, (8): 33-48.
[12] Huang Y.P., Liu Y. X. Avoidance of“Negative Structural Profit”in Industrial Structure Adjustment and High-Quality Economic Development[J]. Southeast Academic Research, 2020, (4): 117-125.
[13] Li L., Liu R.Z. Industrial Convergence and High-Quality Development of Manufacturing Industry: Intermediary Effect Based on Collaborative Innovation[J]. Economic Survey, 2022, (2): 78-87.
[14] Li P.Intelligent Transformation and High-Quality Development under the Background of a New Round of Technological Revolution[J]. Contemporary Finance & Economics, 2021, (10): 3-15.
[15] Lü Y., Gu W., Bao Q.Artificial Intelligence and Division of Labor of Global Value Chain Participated in by Chinese Enterprises[J]. China Industrial Economics, 2020, (5): 80-98.
[16] Qiu Z.Z. Countermeasures to Accelerate China's Industrial Transformation and Upgrading from the Perspective of Low-Carbon Economy[J]. Economic Review Journal, 2016, (5): 57-60.
[17] Shi D., Li P.Measurement of China's High-Quality Economic Development and International Comparison[J]. Southeast Academic Research, 2019, (5): 168-180.
[18] Tian X.J., Li R. Digital Technology Empowers Transformation and Development of Real Economy--An Analytical Framework Based on Schumpeterian Endogenous Growth Theory[J]. Management World, 2022, (5): 56-74.
[19] Wagner S., Wakeman S.What Do Patent-based Measures Tell Us about Product Commercialization? Evidence from the Pharmaceutical Industry[J]. Research Policy, 2016, (5): 1091-1102.
[20] Wang Q.Y., Wei S. D., Jin S., Chen H. Research on Employment Effect of Industrial Intelligence: Spatial Quantitative Analysis Based on Workers' Skills and Gender[J]. Management World, 2022, (10): 110-126.
[21] Wei L.L., Hou Y. Q. Study on the Influence of Digital Economy on Green Development of Chinese Cities[J]. The Journal of Quantitative & Technical Economics, 2022, (8): 60-79.
[22] Ye Y.L., Wu C. Q. Research on Identification and Governance of Shrinking Cities in China[J]. Study and Practice, 2020, (5): 32-41.
[23] Yu Y.Z, Xia L. L. Can Urban Financial Autonomy Improve the Level of Technological Innovation?--Evidence from Cities and Industrial Enterprises[J]. Contemporary Finance & Economics, 2022, (1): 40-52.
[24] Zhang C.F., Xu Y. L. Xi Jinping’s Important Exposition on Development of Artificial Intelligence: Formation Logic, Connotation and Practice Strategy[J]. Journal of Henan Normal University (Philosophy and Social Sciences), 2022, (1): 17-24.
[25] Zhang W.Characteristics of China’s New Green and Low-Carbon Modern Industrial Development System[J]. Inquiry into Economic Issues, 2015, (8): 94-98.
[26] Zhao T., Zhang Z., Liang S.K. Digital Economy, Entrepreneurial Activity and High-Quality Development--Empirical Evidence from Chinese Cities[J]. Management World, 2020, (10): 65-76.