In the new era, developing the livelihood economy and enhancing people's well-being have become core issues in economic work. As a key dimension of this objective, high-quality employment should encompass both a high employment rate and a high wage level. Currently, China is experiencing rapid development in the digital economy, transitioning from an internet-based economy to an artificial intelligence era. Amidst this swift advancement of the digital economy, whether and how it can promote high-quality employment—and thereby enhance people's welfare—has become a focal point of academic inquiry. This study By constructing a theoretical model, quantifing the level of digital economic development using entropy method and employing spatial autoregressive econometric models based on interprovincial panel data to conduct empirical ,analysis across various industries regarding the issue of how digital economy fosters high-quality employment. The findings reveal that the digital economy creates numerous incremental job opportunities while adjusting relative wage levels, simultaneously enhancing both employment scale and wage levels, thus facilitating the realization of high-quality employment.However, this process also exhibits significant structural biases and characteristics of spatial autocorrelation, leading to self-reinforcing effects within space. While such effects may promote spatial agglomeration of economic factors, they could potentially trigger social issues such as imbalances in income distribution.
Chungun Huang (Mon,) studied this question.