This study employs the Difference-in-Differences (DID) method, using the 2025 Jiangsu City Football Super League ("Jiangsu Super League") as a quasi-natural experiment to rigorously examine the net effect of the Jiangsu City Football Super League on the regional economy. The study constructs an econometric model that includes time effects, regional effects, and interaction terms, and then conducts robustness tests and heterogeneity analysis. The findings show that the establishment of the Jiangsu City Football League significantly promoted the growth of the tertiary industry value-added in Jiangsu Province, with a relative growth rate of approximately 20.28%; the effect is particularly pronounced in medium and small cities such as Taizhou and Suqian. This economic benefit is fully verified by the parallel trends test and robustness tests, has high causal credibility, and provides new insights for the development of the tertiary industry in other cities.

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Digital transformation opens up more opportunities for organizational access to information, automation, and platform-enabled coordination, but it also creates risks of exposure to the unpredictability of technology and dependency on others. The present study tests if organizational learning capacity enhances organizational resilience performance directly and indirectly through digital adaptive capacity. Cross-sectional survey methodology is defined for a sample of 420 middle and senior managers from Chinese manufacturing and service firms which have been undergoing enterprise-wide digital transformation for at least two years. Organizational learning capacity is conceptualized as a second-order latent variable made up of knowledge acquisition, knowledge sharing, experimentation, and reflective learning. Partial least squares structural equation modeling with 5,000 bootstrap resamples is used for assessment of measurement properties, direct relationships, mediation, explanation capacity, and prediction accuracy. In a simulated 420-case study, organizational learning capacity positively predicts digital adaptive capacity (β = 0.648***), digital adaptive capacity positively predicts resilience performance (β = 0.463***), and the indirect effect is equal to β = 0.300**. The model accounts for 62.4% of the variation in resilience performance. The results suggest that learning helps build resilience through quick adaptation of technologies, processes, and decision-making.

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Mountain tourism allows visitors to experience landscapes that are distant from cities, yet the waste left around these landscapes may remain long after the visitors leave. This investigation examines a youth trash sweep conducted near Muztagh Ata in the beginning of August, 2026. It combines direct observation of the waste, its location, and the surrounding land use with academic studies and official waste-management guidance. Moreover, most visible items were consumer waste, especially beverage bottles and food packaging, while a smaller but noticeable group consisted of construction-related materials connected to a hotel being prepared nearby. Much of the waste was found away from the road and trapped in wet, muddy grass closer to the mountain. Its distribution suggests that wind had moved at least part of the lighter waste from the road and visitor stopping area, although the original source of each item could not be confirmed. The evidence indicates that travelers and passing visitors were probably the largest source, while nearby construction also contributed part of the waste. The trash sweep improved the site immediately, but it did not prevent new litter from entering the same area. Long-term improvement therefore depends on source reduction, clearer visitor responsibility, regular collection, and cooperation among scenic-area managers, construction operators, local communities, and volunteers.

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This paper examines whether China's green finance reform pilot zones improve environmental performance and how such effects are transmitted. The 2017 pilot-zone policy provides a quasi-natural experimental setting for the analysis. Observations covering 2013–2021 are examined through a Difference-in-Differences (DID) approach. The estimation result shows an improvement in environmental performance after the green finance pilot zones were introduced. This effect is regionally heterogeneous, with a stronger influence in eastern China than in western China. A mediation model further indicates that the policy effect is an important channel: green finance influences market behavior and thereby contributes to environmental improvement. These results provide evidence for policymakers seeking to use green finance as a tool for environmental governance.

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