Beginning with archaeological discoveries related to Wu culture, this paper provides an in-depth interpretation of its connotations and cultural significance. The Ode to Wudianyuan written by Dr. Binzi offers a profound exposition of Wu culture and serves as an important reference for understanding its essence. Taking the development of the Wudianyuan cultural industry as a case study, this paper examines the prospects for Wu culture industrialization from four perspectives: strengths, weaknesses, opportunities, and threats. Furthermore, it presents a detailed discussion of the initial vision for the Wudianyuan project and analyzes its current development dynamics and future prospects.

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Using panel data on prefecture-level cities with airports in China from 2011 to 2023, this study employs a two-way fixed effects model to examine the relationship between airport traffic and urban consumption carrying capacity. The results indicate that passenger throughput has no robust and statistically significant effect on the total retail sales of consumer goods. In the tourism revenue model, both airport traffic and hub-airport pressure exhibit significantly positive effects, reflecting the regional gateway effect. In the wholesale and retail sector model, the coefficient of hub-airport pressure is negative but statistically insignificant for cities served by non-hub airports. These findings suggest that whether airport traffic can be converted into local consumption depends largely on a city's capacity to absorb and accommodate demand through its tourism, commercial, and service sectors.

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As China digitizes carbon governance, the central challenge is shifting from information scarcity to the credibility of digitally generated evidence. This paper examines the institutional conditions under which AI-assisted screening and auditing can strengthen verification and enforcement in a multilevel governance system, as well as how strategic compliance may weaken these effects. It conducts a structured qualitative comparison of Zhejiang, Hebei, and Inner Mongolia, combining cross-case analysis with process tracing based on regulations, government reports, platform documentation, enforcement materials, and investigated cases. Regulatory credibility is evaluated along three dimensions: information integrity, measurement validity, and enforcement closure. The findings show that digital systems have improved data integration, reporting frequency, record traceability, information retrieval, and anomaly screening. However, publicly available evidence is considerably stronger for information acquisition and screening than for the final resolution of individual cases. One official investigation provides direct evidence of reporting-time manipulation and record fabrication, while indicator substitution remains an institutional vulnerability rather than a documented practice. The available evidence does not substantiate platform capture. The study therefore neither estimates the independent causal effect of AI nor ranks the three provinces by regulatory credibility. Instead, it argues that AI-enabled regulation becomes credible only when technical outputs are connected to evidence beyond the control of reporting entities, traceable revision histories, valid indicators, independent verification, and documented final dispositions. The paper concludes by recommending auditable data-provenance standards, institutional separation between algorithmic detection and verification, and standardized public reporting on enforcement closure.

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Against the backdrop of global carbon neutrality governance and China's continued implementation of its carbon peaking and carbon neutrality strategy, energy-intensive industries, including iron and steel, chemicals, building materials, and non-ferrous metals, are major sources of industrial carbon emissions. Their transformation and upgrading are closely linked to the achievement of emission reduction targets and have significant economic implications for macroeconomic performance, industrial restructuring, and the economic efficiency of individual enterprises. Based on industrial economics and green growth theory, this study reviews the current state of transformation in China's energy-intensive industries and analyzes the series of positive and negative economic effects arising from their transformation and upgrading. It identifies three transmission mechanisms: technological innovation, factor allocation, and industrial restructuring—and examines practical challenges emerging during the transformation process, including cost pressures, technological constraints, and imbalanced regional development. The findings show that, driven by carbon neutrality goals, the transformation of energy-intensive industries can improve green total factor productivity, enhance their position in the industrial value chain, and foster new green business models. In the short term, however, it may also lead to higher transformation costs for enterprises, a decline in some traditional jobs, and economic adjustment pressures in certain regions. Accordingly, this study proposes optimization strategies from four perspectives: differentiated industrial policies, green finance, the development of a technological innovation system, and coordinated regional development. The aim is to reconcile carbon reduction constraints with high-quality economic growth and provide theoretical guidance and practical approaches for the smooth transition of energy-intensive industries.

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