Research on Quality Measurement and Dynamic Transmission of Higher Education in China from the Perspective of Dual Circulation: An Empirical Analysis Based on Entropy Weight-TOPSIS and PVAR Models

TL;DR

This paper constructs an evaluation system for China's higher education development using entropy weight-TOPSIS and PVAR models, analyzing data from 2020 to 2022 to understand static and dynamic aspects of educational quality within the dual circulation framework.

Contribution

It introduces a novel combination of entropy weight-TOPSIS and PVAR models to assess and analyze the static and dynamic transmission of higher education quality in China.

Findings

Higher education should optimize resource allocation and talent strategies.

Educational development aligns with the new dual circulation paradigm.

Dynamic transmission from input to output is effectively modeled.

Abstract

Drawing on the new pattern of 'dual circulation', an evaluation system for the development level of China's higher education has been constructed, utilizing data from Chinese provinces over the period 2020 to 2022. Initially, the evaluation model is established, followed by the screening of initial indicators through correlation analysis. Subsequently, an entropy weight-TOPSIS model are employed for static quantification, and the PVAR model is introduced for the first time to describe the dynamic transmission from educational resources input to teaching effectiveness output. The empirical analysis reveals that, for effective development at this stage, higher education institutions should continuously optimize their educational structures, resource allocations, and talent cultivation strategies to align with the requirements of the new development paradigm, thereby contributing to national economic development through the provision of high-quality education.