Author(s)

Ling Li 

Affiliation(s)

School of Mathematics and Statistics, Guangxi Normal University, Guilin 541006, Guangxi, China.

Corresponding Author

Ling Li 

ABSTRACT

Based on the development context of Jiangsu Province, this study uses data from 2002 to 2020 to examine the interaction between industrial structure and employment structure. It analyzes the output value and employment share of the three industries in Jiangsu, calculates their structural deviations, and explores the causal relationships between industrial and employment structures. Additionally, it identifies problems in their development and proposes optimization suggestions. The results indicate that there is no causal relationship between output value and employment in the primary industry. Increased labor productivity has reduced labor demand, making it difficult to reallocate surplus labor. In the secondary industry, output growth far exceeds employment growth, indicating no causal relationship, but there remains significant employment potential. The tertiary industry shows a unidirectional causal relationship where increased output value promotes employment. This industry has a strong capacity to absorb labor and significant development potential.

KEYWORDS

Industrial structure; Employment structure; Grey relational analysis; Granger causality test

CITE THIS PAPER

Ling Li. An empirical analysis of the industrial structure and employment structure in Jiangsu province. Trends in Social Sciences and Humanities Research. 2024, 2(4): 44-51. DOI: 10.61784/tsshr3010.

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