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Abstract
Objective: Although information technology’s impact on social inequality has attracted widespread attention, existing research remains divided on whether technology generates “digital dividends” or exacerbates the “digital divide”. Most studies assume uniform effects across all life domains; yet, the mechanisms through which technology affects different aspects of social stratification may vary substantially. Method: Using data from the 2023 Chinese General Social Survey (CGSS) covering 5332 respondents, we examine information technology’s differential effects on economic income and health outcomes between urban and rural residents through multiple regression, interaction analysis and Blinder–Oaxaca decomposition. Result: Our findings reveal that information technology significantly enhances both income and health status, validating the digital dividend hypothesis. However, technology effects exhibit domain-specific patterns: urban–rural differences are modest in economic domains but pronounced in health domains, where rural residents benefit significantly more than urban counterparts. Information technology contributes 10.8% to urban–rural income gaps but plays larger roles in health disparities. Conclusion: We propose a digital dividend differentiation theory, whereby technology effects tend toward homogenization in standardized economic domains governed by market logic while exhibiting compensatory functions in health domains dependent on geographic proximity. These findings challenge the assumptions of technological uniformity and provide foundations for differentiated digital development policies. Moreover, by revealing how digital technologies can reduce structural inequalities in income and health, this study advances the understanding of digital inclusion as a core driver of sustainable urban–rural development, offering both academic contributions to sustainability scholarship and practical guidance for achieving inclusive development goals.
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