Analysis and Advice on Employment Forecasts for Graduates Taking into Account the Characteristics of Employment Mobility

Authors

  • Xiangyu Jia
  • Yue Gao
  • Yuqing Liu

DOI:

https://doi.org/10.3991/ijet.v18i18.43509

Keywords:

graduate employment, employment mobility characteristics, city-industry integration, spatial correlation measure, dynamic decomposition prediction mechanism

Abstract


In the context of accelerating globalization, the emerging knowledge economy and rapid technological development have brought unprecedented opportunities and challenges to the employment choices of graduates. The employment mobility of graduates has been constantly increasing, and their employment decisions are no longer limited to majors or regions. Instead, graduates can consider various factors more comprehensively, including industrial and urban development, compensation and benefits, etc. This study attempted to understand the characteristics of graduate employment mobility from a more macro perspective, by deeply analyzing the spatial correlation measure and the city-industry integration effect. Then, detailed research and prediction were conducted on the mobility characteristics based on the dynamic decomposition prediction mechanism, which provided not only a more scientific and accurate theoretical basis for graduate employment prediction but also scientific decision-making references for policy makers and educational institutions when formulating relevant policies and educational training plans. The research results contribute to promoting close city-industry integration and have important reference value for promoting urban economic development and optimizing urban industrial structure.

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Published

2023-09-25

How to Cite

Jia, X., Gao, Y. ., & Liu, Y. . (2023). Analysis and Advice on Employment Forecasts for Graduates Taking into Account the Characteristics of Employment Mobility. International Journal of Emerging Technologies in Learning (iJET), 18(18), pp. 88–101. https://doi.org/10.3991/ijet.v18i18.43509

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Section

Papers