2026-10-12T08:59:27Z https://api.figshare.com/v2/oai

oai:figshare.com:article/33966632 2026-09-22T17:22:25Z category_15 category_873 category_45 category_106 category_122 portal_5 item_type_3 month_year_09_2026

<p>Benchmark regression results.</p> Xiaoyun Wu (179670) Danting Cao (5327231) Beihe Wu (22622592) Neuroscience Chemical Sciences not elsewhere classified Sociology Science Policy Mental Health regionally differentiated strategies regional resource sharing regional heterogeneity reveals ordinary least squares leveraging urban agglomerations higher marginal returns denser digital economies digital literacy emerges high return expectations return expectations digital literacy digital skills digital era xlink "> western china vulnerable groups underlying mechanisms underdeveloped regions skilled workers significantly associated significant associations robustness checks quality employment positively moderated policy interventions pivotal correlate negatively moderated moderation models lagging regions labor market human capital findings suggest employment quality critical determinant clustered zones cfps ), advance sustainable <div><p>In the digital era, digital literacy has emerged as a critical determinant of employment quality in the labor market. Using nationally representative data from the 2022 China Family Panel Studies (CFPS), this study constructs multidimensional indices of digital literacy and employment quality. Ordinary least squares (OLS) regressions, robustness checks, and moderation models are employed to examine the relationships between these variables and the underlying mechanisms. The findings suggest that digital literacy is significantly associated with employment quality. This relationship is positively moderated by return expectations and negatively moderated by human capital, indicating a stronger association among low-skilled workers with high return expectations. Regional heterogeneity reveals the most significant associations in western China and urban agglomerations—attributable to higher marginal returns on digital skills in underdeveloped regions and denser digital economies in clustered zones. Digital literacy emerges as a pivotal correlate of employment quality, particularly for vulnerable groups and lagging regions. Policy interventions should prioritize (1) inclusive, tiered digital training programs targeting low-skilled workers; (2) regionally differentiated strategies; and (3) leveraging urban agglomerations as hubs for cross-regional resource sharing. These approaches can help narrow digital divides and advance sustainable, equitable, and high-quality employment in the digital era.</p></div> 2026-09-22T17:22:15Z Dataset Dataset 10.1371/journal.pone.0358194.t005 https://figshare.com/articles/dataset/_p_Benchmark_regression_results_p_/33966632 CC BY 4.0