As an important component of the social insurance system, workers' injury insurance holds unique value in promoting income redistribution and shared prosperity. The implementation effects of workers' injury insurance in China exhibit certain inter-provincial differences. This study takes Liaoning and Zhejiang Provinces as research objects and comparatively evaluates the implementation effects of their work injury insurance systems on income distribution. The findings demonstrate that the work injury insurance system significantly narrows income distribution gaps in Liaoning; conversely, the system's moderating impact on income disparities in Zhejiang is comparatively constrained. These heterogeneous policy effects may be driven by institutional differences in coverage scope, premium standards, and benefit provisions between the two provinces. Going forward, it is essential to further expand the coverage of workers' injury insurance, strengthen fund collection and management, and increase benefit payouts, thereby fully unleashing the role of workers' injury insurance in income redistribution and providing a safety net for livelihoods.

The upgrading of the service sector structure not only provides an internal driving force for enhancing total factor productivity, but also offers effective support for fostering new-quality productive forces. Based on the analytical framework of new structural economics, this study employs a fixed-effects model and a threshold effect model to examine the nonlinear relationships among human capital structure, service sector structure, and total factor productivity in services across different levels of economic development. The findings indicate that the upgrading of the service sector structure depends on a well-matched human capital structure; when human capital structure aligns with the service sector structure, its advancement effectively promotes further structural upgrading. Moreover, when human capital structure meets the developmental demands of the service sector and the service sector evolves based on comparative advantages in factor endowments, the upgrading of human capital structure can optimize the allocation of internal factors within the service sector and significantly enhance total factor productivity. Going forward, sustained efforts should be made to enhance human capital cultivation and improve its allocative efficiency, accelerate the optimization and internal integration of the service sector, resolve structural imbalances in resource endowments, and leverage regional coordinated development as a underpinning to drive an overall leap in the sector's total factor productivity.

New quality productive forces are the core driving force behind high-quality economic development, and their enabling effects and mechanisms on the private economy are critical issues that urgently need clarification. Based on provincial panel data from China spanning 2013 to 2024, this study investigates the driving role and underlying logic of new quality productive forces in promoting high-quality development of the private sector. The findings reveal that new quality productive forces significantly and positively drive high-quality development of the private economy, with industrial upgrading serving as a partial mediator in this relationship. New quality productive forces primarily enable high-quality development indirectly by facilitating the transformation of the private sector toward higher-end and service-oriented industrial structures, and its driving effect exhibits significant regional heterogeneity. Going forward, it is advisable to further expand the coverage of new quality productive forces, strengthen resource allocation and technical support for central, western, and northeastern regions, implement differentiated industrial policies, enhance the endogenous momentum of private enterprises, and promote deeper integration between new quality productive forces and high-quality development of the private sector.

The coordinated development of rural industrial integration and green agricultural transformation represents a core pathway toward establishing an endogenous development model for rural revitalization. This study constructs a comprehensive evaluation index system for rural industrial integration and green agricultural transformation in Northwest China, using coupling coordination model, and synchronization index model. It calculates the coupling degree and coordination level between the two systems, reveals their underlying mechanisms of interaction, and analyzes their temporal evolution trends and regional spatial differences from 2008 to 2022. The findings indicate that the development of rural industrial integration and green agricultural transformation in Northwest China has been weakly synchronized, with limited mutual promotion effects. During the study period, the coupling coordination degree between the two systems gradually improved but remained relatively low, suggesting substantial room for further enhancement. Moreover, there are notable regional disparities in both coupling and coordination levels across the region. Going forward, it is essential to further improve the modern agricultural industrial system, cultivate specialized agricultural talent, increase investment in rural science and technology, and promote synergistic progress in rural industrial integration and green agricultural transformation to empower comprehensive rural revitalization.

Artificial intelligence has become a key driver of corporate transformation, with its impact on income distribution increasingly evident and reshaping the landscape. Based on micro-level data from A-share listed companies between 2008 and 2023, this study investigates the effects and mechanisms through which artificial intelligence influences corporate income distribution. The findings reveal that AI exerts a U-shaped nonlinear effect on corporate income distribution, characterized by an initial constraining phase followed by an optimization phase, with this effect being statistically significant across primary, secondary, and tertiary distribution. Artificial intelligence promotes human capital upgrading, drives structural transformation in labor forces, and enhances resource allocation efficiency, thereby indirectly exerting an inverted U-shaped nonlinear influence on income distribution. Moreover, the U-shaped impact of AI is more pronounced among firms with high operating profit margins, technology-driven enterprises, and those located in regions with strong innovation capacity. In the future, phased support mechanisms should be improved, an income distribution system centered on skill enhancement should be established, and differentiated AI empowerment strategies implemented to foster AI development and promote rationalization of corporate income distribution.

The governance of corporate leverage manipulation helps prevent financial risks, maintain capital market stability, and improve resource allocation efficiency, thereby providing institutional support for the high-quality development of the real economy. Based on data of A-share listed companies on the Shanghai and Shenzhen stock exchanges from 2012 to 2024, this paper systematically examines how institutional investors' site visits affect corporate leverage manipulation. The results show that institutional investors' site visits can significantly curb corporate leverage manipulation. In terms of the underlying mechanisms, enhancing firms' financing capacity and mitigating information asymmetry are two key channels through which site visits restrain leverage manipulation. Further heterogeneity analysis reveals that the inhibitory effect is primarily concentrated among firms with weaker internal controls, those audited by non-Big Four accounting firms, and enterprises located in the eastern region.Going forward, measures such as improving investor relations management, enhancing disclosure systems for research activities, encouraging professional and long-term institutional investors to conduct high-quality research, and implementing differentiated regulation can further suppress corporate leverage manipulation.

This study selects data from China's A-share listed companies on the Shanghai and Shenzhen stock exchanges between 2010 and 2023 to examine the impact of internal executive pay disparities on high-quality enterprise development. The findings indicate that widening internal executive compensation gaps significantly promote high-quality development, with enhanced corporate competitiveness serving as a key mechanism. However, the gap between executives and employees, as well as customer concentration, exerts a certain negative moderating effect. Moreover, the promoting effect of internal executive pay gaps on high-quality corporate development is more pronounced in firms with lower marketization levels, without CEO-chairman duality, and facing intense product market competition. Going forward, enterprises could adopt differentiated compensation systems, reasonably widen internal executive pay gaps, balance salary allocations between management and employees, and optimize their customer structure to reduce reliance risks, thereby better advancing high-quality development.