With the rapid development of digital technology, the role of digitalisation in urban governance continues to emerge. Building a theoretical analysis framework and evaluation system of digitally driven urban governance has important theoretical and practical significance for stimulating the efficiency of digital technology tools and improving the energy level of urban digital governance. This paper aims to explore the mechanism of urban governance enabled by digital technology, innovatively change the previous thinking mode that only attaches importance to facility construction and e-government platforms, adopt ecological thinking, and comprehensively consider the role of “soft elements” such as strategic support, industrial support, the security environment, talent support, and the market environment. Then, the extreme value variance method and the coefficient of variation method are used to calculate the overall capacity and secondary index scores of each city, and the standard deviation of secondary index scores is used to represent the sub-environmental balance of the cross-sectional data of China’s provinces. In order to further explore which indicators restrict the improvement of China’s urban digital governance capacity, this study also constructs an obstacle degree model. The results show the following: (1) The overall capability of China’s digitally driven urban governance is low, with a total score of 27.25, indicating that China’s digitally driven urban governance is in its infancy. (2) There is a significant development imbalance among Chinese provinces, with Beijing ranking first with a score of 81.16, and Tibet, Qinghai, Xinjiang, Heilongjiang, and Ningxia scoring less than 13.30 points, ranking as the bottom 5 among the 31 provinces. (3) The shortcomings of talent support, industrial support, and the security environment restrict the improvement of the entire digital ecological governance ability.

Against the backdrop of China's rural revitalization strategy, the development of rural homestays has emerged as a key driver for upgrading the rural tourism economy. Examining how the cultural atmosphere of rural homestays influences tourist happiness and loyalty can contribute to exploring sustainable development models for homestay tourism, while offering practical insights into the integration of rural culture and tourism. This study takes Hongcun Village as an example and constructs a theoretical model based on self-regulatory attitude theory, incorporating variables such as rural homestay cultural atmosphere, tourist happiness, and loyalty. Empirical analysis was conducted using SPSS 27.0 and SmartPLS 4.1. The results indicate: (1) The cultural atmosphere of rural homestays has a significant positive impact on tourist happiness; (2) Tourist happiness positively influences loyalty; (3) The cultural atmosphere significantly and positively affects loyalty. Based on these findings, it is recommended that rural homestays deepen their local cultural characteristics, improve service quality, enhance tourist emotional experiences, and strengthen brand appeal through targeted marketing, thereby increasing tourist loyalty and promoting the high-quality development of rural homestays.

Achieving rural social sustainability requires both income growth and a reduction in rural income inequality. Strengthening farmland property rights is widely expected to contribute to these goals, yet the evidence remains limited. Building on a “property rights–factor allocation–income” framework, this study uses rural micro panel data from CHARLS (2011–2018) and combines two-way fixed effects with a chain multiple-mediation model to examine how farmland property rights strength (FPRS) relates to these outcomes. The results show the following: (i) FPRS has a dual total effect, raising household per capita income (0.683) while reducing the Gini coefficient ($-0.032$); (ii) effect decomposition indicates that the impacts are dominated by the direct effect, accounting for 96.47% and 98.37% of the total effects on per capita income and the Gini coefficient, respectively; (iii) the indirect transmission is structurally asymmetric, with income growth relying on seven “independent–chain” mediation paths involving land, labor, and capital, whereas inequality convergence operates only through farmland transfer-out and (iv) stronger property rights further reshape income composition by activating both agricultural and non-agricultural income through differentiated direct effects and mediated paths. This study identifies underlying mechanisms and offers policy implications for strengthening the direct effect of farmland property rights reform and improving factor allocation channels to achieve rural social sustainability outcomes.