Taking the entry into force of the Regional Comprehensive Economic Partnership (RCEP) in 2022 as a quasi-natural experiment, this paper systematically analyzes the impact and mechanisms of RCEP on China’s exports of high-tech products, based on panel data from 2011 to 2023 and employing the difference-in-differences (DID) method. The empirical results indicate that the implementation of RCEP has significantly boosted China’s exports of high-tech products to RCEP member countries, and this finding remains robust after a series of robustness checks. Furthermore, a mechanism analysis using the International Property Rights Index (IPRI) reveals that RCEP has significantly promoted the growth of China’s high-tech exports by enhancing the level of property rights protection. Heterogeneity analysis shows that industries such as life sciences and computer-integrated manufacturing have benefited significantly, while sectors like optoelectronics, aerospace, and telecommunications have been less affected. In addition, ICT-related exports demonstrate a notable synergistic driving effect on the overall high-tech industry exports. Based on the findings, it is recommended to provide targeted support for high-tech sectors that benefit the most, while also optimizing policies to address weaknesses in underperforming areas. Efforts should be strengthened in promoting ICT-integrated innovation and improving property rights protection to comprehensively enhance the international competitiveness of China’s high-tech industries.

College students' entrepreneurship is an important component of the national innovative ecosystem. However, it still suffers from “market failure” due to a lack of financial support. The high-quality development of college students' entrepreneurship is very sensitive to a well-crafted policy and governance environment. In order to address these challenges, this paper introduces the idea of the public welfare attribute of college students' entrepreneurship and analyzes the contradiction and integration between its market-orientation and public welfare-orientation.Based on the life-cycle theory of entrepreneurial activity, this paper proposes a “trinity” financial support system for college students' entrepreneurship in a public welfare-orientation. The financial support system proposal has three aspects. The first is campus financial support that is steered by talent cultivation strategy. The second is governmental financial support that is motivated and inspired by a strategic vision for public welfare. The final one is financial support that is in harmony with corporate social responsibility. The current study enhances academic connotations and interpretations regarding college students' entrepreneurship development and offers valuable views for making relevant policies and strategies in making incentives for college students.

This paper investigates the structural barriers to women's labor force participation (LFP) in East Asia, focusing on China, Japan, and South Korea. While each of these countries has achieved remarkable economic development, traditional gender norms rooted in Confucianism and high-pressure economic systems continue to hinder women’s full participation in the workforce. Using gender role socialization theory and structural inequality theory as the analytical framework, the study draws on labor statistics, national policy documents, and prior academic research to conduct a comparative analysis of female LFP. The findings reveal three key challenges: the persistence of gendered family roles (“widowed parenting” and the M-shaped employment curve), workplace discrimination (wage gaps, career interruptions, and low representation in senior management), and inadequate family support policies. Although all three countries have introduced reforms, many remain symbolic and insufficient. Notably, the study finds variation in how these issues manifest: China’s urban-rural divide, Japan’s entrenched non-regular employment for women, and South Korea’s severe wage gap and rigid family-first ideology. The paper concludes that effective policy must move beyond token measures and address deep-rooted cultural and institutional structures to ensure gender equality. Only by dismantling these systemic barriers can East Asian societies fully realize women’s economic potential..

As the approaching of feeling economy, video games have becoming one of the key medium of psychological and social engagement. The study mainly contributes to find out the relationship between the sales of different types of games and seasons and the motivations behind the trends, and do the forecasting for future trend, while also providing suggetion for sales strategies. The paper uses sales data, during 2022 to 2024, from Nintendo stores in Zhejiang Province( 47, 962 records). The research uses basic Excel tools and Python to organizing data and Error-Trend-Seasonal model (ETS) in R Studio to predict the future seasonal trends. The result draws that there is the relatioship between game type sales and seasonal changes. Consumers preferences are shifting as the seasons change. In addition, I also find out there usually is a peak in first quarter (Q1), with action, action-adventure, and adventure games remaining dominant.

Rising educational attainment and changing cultural preferences have substantially altered consumer demand in China’s interactive entertainment sector. The success of the otome game Love and Deepspace reflects this broader transformation: its advanced 3D rendering, customizable character features, and personalized interaction design have established new standards for female-oriented digital media. Building on this momentum, the developer has expanded into an integrated merchandise ecosystem and deployed cumulative recharge mechanisms to strengthen user engagement and increase monetization. This study conducts an empirical analysis of consumer behavior in the otome game merchandise market using survey data from 100 respondents. A series of statistical tests is applied to evaluate how demographic, behavioral, and perceptual factors shape merchandise consumption. The findings show that demographic characteristics provide limited explanatory power for spending variation, whereas engagement intensity, prior gameplay experience, and aesthetic evaluations of merchandise are the primary determinants of purchase behavior. These results highlight the importance of emotional involvement and visual design in driving otome-related consumption and contribute to a growing body of research on game-based merchandising and fandom-driven markets. The study further offers managerial implications for firms seeking to refine monetization strategies within rapidly expanding female-oriented game ecosystems.

High-quality economic development is significantly driven by fixed-asset investment, which also acts as a vital avenue for firms to boost their core competitiveness and innovation capabilities. This research takes the 2018 value-added tax (VAT) credit refund policy as a quasi-natural experiment. Drawing on panel data of Chinese listed firms from 2013 to 2022, this study employs a difference-in-differences (DID) framework to investigate how the policy influences the intensity of fixed-asset investment and the mechanisms through which this effect occurs. The empirical evidence suggests that the VAT credit refund policy produces a striking promotional impact on the intensity of firms’ fixed-asset investment, with more pronounced effects observed among large firms and those located in eastern China. Mechanism tests further reveal that the policy operates through two channels: alleviating financing constraints and optimizing debt structure, thereby providing stable financial support for fixed-asset investment. Based on the conclusions obtained, this study advances improvements in the design of the tax system and emphasizes the need to strengthen policy implementation and complementary support measures. Such measures are crucial to fostering the role of tax policy in stabilizing investment and promoting sustainable corporate development.

Based on the perspective of the industrial chain and incorporating theories, this paper explores the mechanism through which live streaming e-commerce contributes to rural revitalization. Using the case of Suichang tea in Zhejiang Province and employing case analysis and empirical research methods, this paper analyzes how live streaming e-commerce promotes the rural economy in terms of production standardization, efficient circulation operation, and platform-side resource integration. The study finds that live streaming e-commerce can optimize the rural industrial chain and enhance the overall efficiency of the rural economy, but certain issues persist. Accordingly, targeted recommendations are proposed for the production end, circulation end, and platform end, providing references for local governments in formulating live streaming aid-agriculture policies and rural industry development, thereby contributing to rural revitalization.

With the deep penetration of Artificial Intelligence (AI) technology in production and life, its ethical risks and governance needs have become increasingly prominent. This paper combines 307 questionnaire data on AI usage behavior and ethical cognition, as well as several core academic literatures, to systematically analyze the public's cognitive characteristics of AI ethical issues, existing governance shortcomings, and propose non-legislative oriented multifaceted solutions. The study finds that: the public AI usage rate among the interviewed population reaches 60.59%, and the core users are the middle and grass-roots groups aged 26-35 years old, presenting the characteristics of "light products, light scenarios, and light inputs"; the ethical concerns are focused on the leakage of data privacy and algorithmic bias; and the governance needs prioritize the reliance on corporate self-regulation and government supervision. Combined with academic research, it is suggested to build a governance system through technological optimization, enterprise management and social collaboration to achieve a balance between AI technological innovation and ethical risk prevention and control.

The Discounted Cash Flow (DCF) model is the preferred method on how people determine the value of a company by examining how much money of a company will bring in later and then taking that figure and reducing it to the figure that is worth now. It may be ferocious math and logic, but in the real world is sort of tough, the model such as the cash flows, the correct discount rate, and puts a value on something that does not even appear on the account such as brand name or staff talent. This paper gets deep into the math of why DCF makes sense, what big assumptions it is based on, and all the practical headaches it can suffer from. It also looks at some newer spins in the model, for example, playing out some different future scenarios, what if the model added some more real options, and even hooking up machine learning, ESG (Environmental, Social, Governance) factors and making the model wonder what the vibe is today. Even with all its quirks, the study says DCF nonetheless remains a super useful tool that continues to get better, and it remains important both to scholars and people in the business world.

Driven by the global energy structure transformation and the “dual carbon” goals, the new energy vehicle industry and related industries have witnessed explosive growth. The charging station industry, as one of the cores supporting industries, holds significant research value. And Guangzhou, which has a rapidly growing market, has high representativeness and research significance. This research conducts a quantitative and qualitative study on spatial and usage equity of EV chargers in Guangzhou, employing spatial analysis methods such as Moran’s I for clustering detection to identify key influencing factors, evaluating usage fairness through Theil index decomposition. This study reveals that the current distribution of charging stations in Guangzhou exhibits significant spatial heterogeneity, and the matching between resources and population density is insufficient. These findings offer data-driven recommendations for optimizing EV infrastructure planning and promoting equitable urban mobility.