Evaluation of high quality and full employment based on CRITIC-entropy-TOPSIS multi-criteria framework

Abstract

Purpose

The main aim of this paper is to establish a reasonable and scientific evaluation index system to assess the high quality and full employment (HQaFE).

Design/methodology/approach

This paper uses a novel Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) multi-criteria framework to evaluate the quality and quantity of employment, wherein the integrated weights of attributes are determined by the combined the Criteria Importance Through Inter-criteria Correlation (CRITIC) and entropy approaches.

Findings

Firstly, the gap in the Yangtze River Delta in employment quality is narrowing year by year; secondly, employment skills as well as employment supply and demand are the primary indicators that determine the HQaFE; finally, the evaluation scores are clearly hierarchical, in the order of Shanghai, Jiangsu, Zhejiang and Anhui.

Originality/value

A scientific and reasonable evaluation index system is constructed. A novel CRITIC-entropy-TOPSIS evaluation is proposed to make the results more objective. Some policy recommendations that can promote the achievement of HQaFE are proposed.

Citation

Wei, M., Zheng, J., Zeng, S. and Jin, Y. (2024), "Evaluation of high quality and full employment based on CRITIC-entropy-TOPSIS multi-criteria framework", International Journal of Intelligent Computing and Cybernetics, Vol. 17 No. 3, pp. 465-485. https://doi.org/10.1108/IJICC-11-2023-0342