Modeling Analysis of the Contribution of Digital Technology to Economic Quality Development

Abstract

This paper first starts with the positive impact of digital technology on both industry and society levels and puts forward the hypothesis that digital technology has a facilitating effect on economic quality development. Secondly, the evaluation system of economic quality development is established, and the BP neural network algorithm is used to synthesize each basic index in the evaluation index system. Then the basic measurement model is constructed based on the hypothesis, and the objective indicators are given weights by CRITIC-entropy combination weighting model and TOPSIS method. Finally, the hypotheses are analyzed empirically using benchmark regression while robustness tests are conducted. The study shows that for every 1 standard deviation increase in the digital development index, the logarithmic value of economic quality development will increase by 2.38%.