Empirical analysis of poor population and industrial economic growth based on joint cubic equation model

Jiaxuan Tang; Ziyi Liu; Hongyu Chen

doi:10.1117/12.2625001

19 December 2021 Empirical analysis of poor population and industrial economic growth based on joint cubic equation model

Jiaxuan Tang, Ziyi Liu, Hongyu Chen

Author Affiliations +

Proceedings Volume 12128, Second International Conference on Industrial IoT, Big Data, and Supply Chain; 1212814 (2021) https://doi.org/10.1117/12.2625001
Event: 2nd International Conference on Industrial IoT, Big Data, and Supply Chain, 2021, Macao, China

Abstract

This paper uses time series to study the impact of industrial structure upgrading and unemployed poor population on China's economic development. The final results show that the main reason for the slow growth rate of China's social and economic development is that the number of unemployed and poor population continues to rise. Through literature reading and data analysis, it is found that the reason for the continuous rise of poor population in China is that the "Lewis turning point" has been crossed, and the quantity of labor supply continues to decline, which leads to the lack of comprehensive improvement in the quality of practical supply.

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Jiaxuan Tang, Ziyi Liu, and Hongyu Chen "Empirical analysis of poor population and industrial economic growth based on joint cubic equation model", Proc. SPIE 12128, Second International Conference on Industrial IoT, Big Data, and Supply Chain, 1212814 (19 December 2021); https://doi.org/10.1117/12.2625001

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