This study focuses on the mechanism of enterprise value creation in a dynamic competitive environment and explores its systematic mechanism of action on enterprise value promotion from the perspective of strategic financial management. As an advanced form of traditional financial management, strategic financial management enables the in-depth integration of financial strategy and enterprise strategy. Through such key approaches as forward-looking resource optimization and allocation, dynamic risk management and control, and value chain reconstruction, it effectively drives enterprise value creation. The study constructs a three-dimensional analytical framework of "Value Discovery - Value Driving - Value Preservation", analyzes in detail the operational principles of strategic financial management in value identification and strategic support, value driving and process control, as well as value maintenance and sustainable development, and reveals its paths to enhancing enterprises' core competitiveness and long-term market value.

actors—specifically labor and capital—remains a primary obstacle to equitable regional growth. Employing a comparative case-study analysis, this article explores Guizhou Province and Shenzhen city as extreme cases of this siphon effect. By integrating Lewis's dual-sector model with Friedmann's core-periphery framework, this research utilizes official longitudinal data to trace the patterns and directional courses of rural labor migration. The analysis reveals the structural drivers of such increasing regional divergence. To heal these rifts, the study recommends a strategic policy turn, including the promotion of "reverse flows" of human and industrial capital, the speeding up of market-based reform for resource allocation, and the empowerment of local governance. In the end, the article argues that bridging the developmental divide between stagnant rural nodes and aggressive urban centers is vital for ensuring China's long-term hold on economic resilience.

In modern society, consumers exhibit a reduced propensity to make divergent or autonomous choices; instead, they tend to conform to choices predetermined by institutional frameworks or producers. Besides, producers prefer to make a small change to their old products instead of creating a new one. This trend may lead to less innovation, and fewer people are willing to start up a business. This behaviour is called keeping the status quo. This paper examines the concept of status quo bias. It is a common psychological factor in decision-making. The paper explains the basic definition of the status quo bias, illustrates the mechanism of how it works and how it will influence consumer choices, and accounts for why people often accept default options instead of making some changes even when changing is more beneficial to them. By integrating theoretical frameworks and empirical evidence, this paper aims to reveal how status quo bias shapes economic agents' behaviors and highlights its significance for consumers, producers, and policymakers alike.

This study investigates the differential effects of passive index funds and active mutual funds on market efficiency using a comprehensive dataset of 1,407 individual stocks and three major mutual funds in the Chinese stock market from May 1, 2005 to September 10, 2024. First, this paper examines how the presence and trading activities of passive versus active investment vehicles affect price discovery and market efficiency metrics. Second, this study analyze cross-sectional variations in efficiency effects across different market segments and time periods. Third, this study constructs multiple performance proxies including risk-adjusted returns, volatility measures, and higher-moment statistics to comprehensively evaluate the market efficiency implications. The findings reveal that active mutual funds in China generated substantial alpha during the sample period, with 91.4% of individual funds achieving positive alpha and an equal-weighted portfolio generating 11.7% annualized returns with superior risk-adjusted performance (Sharpe ratio 0.416) compared to passive benchmarks (0.206-0.242). These situations of the Chinese market, including structural reforms and regulatory changes, provides evidence that emerging markets offer many opportunities for skilled active management, contrasting with efficient market hypothesis predictions for already developed markets.

Green financing has become an essential way of ensuring sustainability globally, and the use of green bonds as the dominant financing instrument is essential in the implementation of sustainability in transportation, the environment, and the reduction of emissions. At the same time, the digital revolution in the financing sector has placed the use of artificial intelligence-driven robo-advisors at the forefront of financial decision-making among retail investors. This study investigates the relationship between robo-advisor attributes and individual investor behavior regarding the allocation of green bond investments, with the variables of transparency, reliability, trust, and frequency of use. With the research study adopting the quantitative research methodology and data from 401 participants, the study concludes with 70 participants, ensuring researchers assess the attributes as predictors of the proportion and amount of the entire green bond invested. The study concludes the findings as the variables of transparency and reliability being significant predictors of the allocation, while trust and frequency show no direct relationship.As a matter of influence on portfolio structure but less on the investment amount itself, that was respectively contributed to by investment experience and personal financial capabilities. Overall, the paper concludes that transparency and comprehensible recommendation logic, in combination with system reliability, is a crucial factor behind sustainable system adoption, while strategies on personalization were found to be most successful in the presence of clear information disclosure.

With the advancement of digital technology, AI-based governance,particularly large models,is being gradually introduced in many organizations at home and abroad. While improving decision-making efficiency, it has also brought about a series of complex and prominent problems, such as imbalanced distribution of power, ambiguous liability determination systems, partial failure of supervision mechanisms, and the expansion of monopolistic power of leading enterprises; These problems are due to the limitations of traditional corporate governance theories, organizational inertia of bureaucratic structures and other reasons; In order to fully leverage the advantages of integrating large models into corporate governance, it is necessary to rebuild power structures and enhance accountability mechanisms. At the same time, it is necessary to update the fiduciary duty system for directors by expanding the scope of their duty of loyalty and duty of care, and promote adaptive changes in organisational forms. In order to prevent and control major public risks and promote the rule-of-law-based transformation of corporate governance in the digital economy era.

The emergence of new generation artificial intelligent technology, called Generative AI (GenAI), combined with the Internet-based business model of e-commerce, have greatly impacted on the culture and creative industry. Besides broadening markets and lowering transaction cost, digital platforms and artificial intelligence are changing how work is allocated, what skills workers have and how they invest in themselves. In this article we analyze the supply- and demand-side effects of the platform economy, concentrating on the impact of technological change on productivity, market concentration, and income inequality. Although digital technology makes information more efficient to produce and easier to access, it brings in labor polarization and platform dependency, this research points out that technology advancement should be accompanied by sustainable Human Capital Development and Cultural Integrity.

This paper explores how regional innovation ecosystems support the growth of technology startups, using Hangzhou's "Six Little Dragons" as a case study. Drawing on innovation ecosystem theory, regional innovation systems, and new trade theory, the study analyzes how talent, capital, and industrial coordination jointly shape firm development. The paper identifies three key mechanisms: sustained talent attraction and knowledge spillovers anchored in universities and research institutions; a full-lifecycle financial support system characterized by a "patient government" and patient capital that mitigates early-stage market failures; and industrial chain coordination combined with scenario-based innovation that accelerates technology validation and market entry. The findings suggest that the success of Hangzhou's technology firms stems from systematic ecosystem interactions rather than isolated firm-level advantages, offering policy-relevant insights for enhancing regional innovation capacity in other cities.

This study aims to deeply analyze the mechanism by which the issuance of green bonds affects the ESG evaluation of enterprises. Using the sample of Chinese A-share listed companies from 2014 to 2023, the dual difference method was employed to empirically analyze the impact of green bond issuance on the ESG performance of companies and its mechanism. The study found: Firstly, compared with enterprises that issue ordinary bonds, the issuance of green bonds significantly improved the ESG rating of enterprises. This conclusion remained robust even after controlling for endogeneity issues and replacing variables. Secondly, the mechanism test indicated that green bonds indirectly improved the ESG performance of enterprises through three paths: enhancing information disclosure transparency, reducing agency costs, and promoting green innovation. Thirdly, the heterogeneity analysis showed that the promotion effect of green bonds on ESG was more significant in non-state-owned enterprises, heavy-polluting industries, and enterprises in the eastern region. This study not only enriches the theoretical system of green finance and enterprise sustainable development, but also provides empirical evidence for policy makers to guide enterprises to optimize ESG practices through green bond financing.

This study empirically analyzes the impact of supply chain digitalization on the total factor productivity of enterprises. Research has found that the digitalization of the supply chain has enhanced the total factor productivity of enterprises and has undergone a series of robustness tests. Mechanism analysis indicates that the efficiency of enterprise resource allocation and enterprise innovation input can further positively regulate the promoting effect of supply chain digitalization on the total factor productivity of enterprises. Heterogeneity analysis indicates that for private enterprises and those without significant deficiencies, the positive impact of supply chain digitalization on the total factor productivity of enterprises is more significant, while for state-owned enterprises and those with significant deficiencies, this impact effect is not significant.