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Sustainability

Sustainability is an international, peer-reviewed, open-access journal on environmental, cultural, economic, and social sustainability of human beings, published semimonthly online by MDPI.
The Canadian Urban Transit Research & Innovation Consortium (CUTRIC), International Council for Research and Innovation in Building and Construction (CIB) and Urban Land Institute (ULI) are affiliated with Sustainability and their members receive discounts on the article processing charges.
Quartile Ranking JCR - Q2 (Environmental Studies | Environmental Sciences)

All Articles (99,279)

Artificial intelligence (AI) technology has brought unprecedented impact and opportunities for the sustainable development of family firms. This paper examines the impact of AI on innovation investment in family firms using a sample of Chinese A-share listed family firms from 2007 to 2024. The results show that AI significantly promotes innovation investment in family firms to achieve sustainable development. Mechanism analysis shows that AI enhances both the willingness and capability of family firms to invest in innovation by improving their risk-taking levels and resource allocation efficiency, thereby promoting innovation investment. Heterogeneity analysis shows that the promotion effect of AI on innovation investment of family firms is more significant in smaller family firms, those directly founded by families, those with more family involvement in management, and those prior to intergenerational succession. Furthermore, the study finds that AI significantly improves the innovation performance of family firms. Our findings provide important theoretical and practical guidance for enterprises seeking to leverage AI to catalyze innovation investment and thereby achieve long-term value growth and sustainable development.

11 December 2025

Social Media Use and Digital Self-Perception in University Students

  • Albert Marquès-Donoso,
  • Rafael Carrasco Polaino and
  • Ana Martínez-Hernández
  • + 1 author

This study examines how social media use relates to university students’ digital self-perception within the framework of sustainable education and the Sustainable Development Goals (SDGs 3 and 4). A quantitative, cross-sectional design was applied to a sample of 261 undergraduate students from CES Don Bosco (Madrid, Spain), with a response rate of 24.4%. Participants (75.1% women; age range 18–44) completed a 36-item instrument developed for this study. An Exploratory Factor Analysis (EFA) identified three dimensions with adequate internal consistency—social comparison and influence on self-image, approval seeking and digital authenticity, and digital dependence and anxiety—while two additional dimensions showed insufficient reliability and were considered exploratory only. Non-parametric analyses (Spearman’s rho and Mann–Whitney U) revealed significant associations between earlier digital initiation, longer daily connection time, and higher scores in comparison, approval seeking, and digital dependence. Women reported higher levels in these dimensions, although effect sizes were small to moderate. Because the design was correlational, these results do not imply causality. The findings offer preliminary empirical support for an analytical model of digital self-perception and highlight the importance of integrating emotional and critical dimensions of digital competence into higher education to promote students’ digital well-being.

11 December 2025

Digitalization has reshaped economic systems worldwide, yet its distributional consequences remain uneven and raise new challenges for sustainable development. China, where digital infrastructure has expanded rapidly, provides a critical setting to examine these effects and their implications for sustainable and inclusive growth. Using a balanced panel of 285 prefecture-level cities from 2007 to 2023, this study constructs a text-based index of digital infrastructure from government work reports and applies two-way fixed effects, instrumental variables, nonlinear models, placebo tests, heterogeneity analysis, and spatial Durbin models. The results show that digital infrastructure significantly widens the urban–rural income gap, with the effect becoming increasingly convex as digital development deepens. Two mechanisms drive this pattern: the concentration of innovation resources in urban areas, which crowds out rural R&D, and a modest degree of wage-structure polarization. Spatial spillovers also matter; digital development in neighboring cities partially offsets local inequality by enhancing interregional connectivity and knowledge diffusion. These findings provide city-level causal evidence on the unequal distributional impacts of digitalization in large emerging economies and highlight the need for sustainability-oriented digital governance, inclusive innovation systems, and regionally coordinated strategies to prevent digital infrastructure from reinforcing structural disparities. Strengthening these policies is essential for achieving more sustainable urban–rural integration in the digital era.

11 December 2025

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Sustainability - ISSN 2071-1050