Abstract: Against the backdrop of disruptive technologies such as artificial intelligence, the Internet of Things, and big data reshaping the global industrial landscape, applied universities, as the main providers of regional talent, have seen their dynamic adaptability of their training systems to local economic needs become a core variable affecting regional competitiveness. This study takes Weifang University of Science and Technology in Shandong Province as a typical case, systematically deconstructing the matching mechanism between the employment trends of its graduates from 2020 to 2024 and the talent needs of Weifang's three leading industries: "high-end equipment manufacturing, modern agriculture, and new-generation information technology" through a mixed research method. The empirical analysis reveals that the professional settings lag behind the technology iteration cycle by approximately 2.3 years, and there is a significant gap between the skill structure of graduates and the requirements of industrial upgrading. University-enterprise cooperation exhibits a characteristic of "shallow internship-led" cooperation. Based on this, an optimization path for constructing a "technology-responsive" talent training system is proposed: establishing a dynamic professional adjustment mechanism driven by industrial technology early warning, creating a "technology co-creation" platform for deep industry-education integration, reconstructing an "OBE-real problem-oriented" curriculum system, and supporting policy guarantee measures. The research findings provide a theoretical model and practical paradigm for the transformation of regional applied universities in the context of technological change, offering significant reference value for promoting high-quality development of the local economy. Read More

Abstract: This paper employs the two-sided market theory to analyze the structure, characteristics, and development trends of the global classical music market. The study reveals that the classical music market, as a typical two-sided market, involves performance institutions, record companies, and streaming platforms acting as intermediaries to connect two distinct groups—music creators and consumers—while facing unique challenges in network externalities and pricing strategies. By examining cross-group network effects, platform competition strategies, and price structures, this paper elucidates the economic mechanisms of the classical music market during its digital transformation. It further provides a theoretical explanation for the rapid growth of classical music markets in developing countries, particularly China, offering a new analytical framework for understanding the commercialization pathways of traditional cultural arts in modern economic contexts. Read More

Abstract: This paper examines the evolutionary trend of income disparity and its influencing factors in 11 cities in the Guangdong-Hong Kong-Macao Greater Bay Area. Specifically, the study focuses on whether the regional income gap shows a converging trend and explores the impact of policy synergy, industrial upgrading and population mobility on convergence. By conducting the σ-convergence test and ADF unit root test on the panel data for the period of 2004-2024, the results show that the overall trend of income disparity among cities in the Greater Bay Area has been converging, and the convergence is more significant especially after considering the population weighting. The results of the ADF test show that the economic growth series of most cities are smooth, indicating a convergence of growth paths within the region. The study concludes that policy synergy, industrial upgrading and population mobility play a key role in promoting income gap convergence. Based on this, this paper suggests that the financial mechanism and industrial transfer system should be further improved to promote coordinated regional development, and the analysis of β-convergence and spatial effects should be strengthened in the future to deeply understand the regional convergence mechanism." Read More

Abstract: Chinese-style modernization is a modernization of harmonious coexistence between man and nature. Yancheng initiated the construction of the Yellow Sea Ecological Economic circle, which is of great theoretical and practical significance for promoting ecological priority and green development and establishing a more effective new regional development mechanism. The advantages and characteristics of the construction of the Yellow Sea Ecological Economic Circle are: (1) The integrity and similarity of the ecosystem; (2) Openness and relevance of economic development; (3) Geographical and cultural proximity and integration. Countermeasures for the construction of the Yellow Sea Ecological Economic Circle include: (1) Clarify the target system for the construction of the ecological economic circle, accelerate the establishment of the organizational leadership and overall coordination mechanism, and do a good job in top-level design; (2) Build a regional green economic industrial system, enhance regional innovation capacity, and create the Shanghai-Nantong-Yancheng-Qingdao "G15" science and technology innovation industrial belt; (3)  Strengthen infrastructure construction, improve the ecological network system, and build a modern coastal transportation artery; (4) Strengthen co-governance and co-management, build an integrated ecological governance system, and accelerate the establishment of a mechanism for realizing the value of ecological products. Read More

Abstract: In the context of the new round of global technological revolution and industrial change, manufacturing enterprises are facing problems such as key technology chokepoints and insufficient internal innovation, and ESG, as a core indicator for measuring the sustainable development capability of enterprises, can provide directional guidance for the innovative development of manufacturing enterprises. This research empirically analyses the impact and mechanism of ESG performance on corporate innovation based on the data of A-share listed manufacturing enterprises from 2019-2023. It is found that ESG performance has a positive promotion effect on corporate innovation. Heterogeneity analyses show that ESG performance of non-state-owned firms is a stronger positive contributor to corporate innovation relative to state-owned firms, and that ESG performance of non-high-tech firms is a stronger positive contributor to corporate innovation relative to high-tech firms. Therefore, we should pay attention to enterprise innovation activities, accelerate the construction of a standardised ESG rating system, and form an innovative system that enterprises pay attention to, society pays attention to, and the government supports. Read More

Abstract: Under the dual demands of the global carbon neutrality goal and the green transformation of the cultural and tourism industry, this paper focuses on the theoretical logic and implementation path of green finance empowering the cultural and tourism industry, aiming to resolve the deep-seated contradictions between ecological protection and industrial development. Based on the theory of sustainable development, financial intermediation theory, and industrial ecology theory, the study constructs a "policy-market-technology" three-dimensional collaborative theoretical framework, and reveals the internal connections between green finance and the cultural and tourism industry in ecological attribute coupling, externality governance, and consumption demand adaptation. By analyzing practical dilemmas such as insufficient policy adaptability, market supply-demand mismatch, and lagging technology application, three paths are proposed: (1) Top-level design: Establish a "cultural tourism-ecology-finance" collaborative policy system, refine industry green finance standards, and innovate the linkage mode between ecological compensation and financial instruments; (2) Market-driven: Develop green financial products exclusive to cultural and tourism, construct a mechanism linking ESG ratings with credit, and promote the connection between carbon markets and cultural tourism carbon sinks; (3) Technology embedding: Use digital technology to empower the whole life cycle management, build a green technology cost-sharing model, and cultivate interdisciplinary compound talents. The research shows that green finance can realize the manifestation of ecological value, efficient capital allocation, and sustainable industrial transformation through the three-dimensional collaborative mechanism, but it needs to break through institutional barriers and technical bottlenecks. Future research can deepen cross-cultural comparisons and the dynamic correction of theoretical models by digital … Read More

Abstract: This paper focuses on the development status and optimization paths of the cross-border e-commerce O2O model in Wenzhou. Against the backdrop of the global digital wave and domestic policy dividends, Wenzhou, leveraging its strong private economy foundation, vibrant industrial clusters, and strong government support, has actively deployed cross-border e-commerce O2O and achieved significant results. However, challenges such as logistics and payment risks, operational bottlenecks in experience stores, and intensified regional competition persist. Based on field research and SWOT analysis, this paper proposes systematic optimization strategies, ultimately aiming to build a new collaborative ecosystem involving "government, enterprises, and research" to explore a sustainable development path for cross-border e-commerce O2O with Wenzhou characteristics. Read More

Abstract: This paper examines the historical trajectory of talent attraction in the United States, analyzing the evolution of policies, socioeconomic drivers, and long-term impacts on national development. By synthesizing historical events, policy documents, and empirical data, it identifies three core pillars of U.S. success: adaptive immigration policies, world-class educational institutions, and a robust innovation ecosystem. The study also highlights persistent challenges, including nativist tensions and structural inequities, offering lessons for nations competing in the global talent race. Read More

Abstract: As global consumption habits shift from purchasing goods to pursuing experiences, the increasing emphasis consumers place on the quality and diversity of experiences has given rise to the development of immersive experiences. By creating specific scenarios, they enable the audience to immerse themselves physically and mentally and resonate with them. Under the impetus of a series of national policies, they have become an important direction for the innovative development of the cultural and tourism industries. This paper takes various immersive scenic spots in Xi 'an as the object, uses the text data of Weibo as the information source, and employs the research and analysis method of online text content to explore tourists' online attention, emotional experience and image perception of tourist destinations, analyze the characteristics of the tourist group and the behavioral preferences of tourists, and obtain the tourism image of such scenic spots in Xi 'an. The research finds that the average emotion of tourists towards scenic spots is approximately 1.0003. The top three text feature words extracted by TF-IDF are-Immersion, experience, and culture. The image perception is positive, and the overall tourism experience of tourists is good. However, there are still some problems that need to be solved urgently in aspects such as scenic spot setting, facilities and services, prices, and crowd density. In the future, all immersive scenic spots in Xi 'an should accurately position their source markets, deepen cooperation with surrounding scenic spots, continue to leverage their historical and cultural heritage, protect core scenic spots, and avoid excessive commercialization, so as to maintain their simple and natural tourism atmosphere. Read More

Abstract: This study, set against the backdrop of China's "dual carbon" goals proposed by the Chinese government, delves into the current development status of China's new energy vehicle industry, as well as the operating conditions, core strategic direction, and future plans of XPENG Motors. By examining the rapid growth of the domestic new energy vehicle market and the enhancement of international competitiveness, this paper reveals XPENG Motors 'specific practices in technological innovation, market expansion, and global layout. It also combines SWOT analysis to thoroughly explore its strengths, weaknesses, opportunities, and threats. The central argument of this paper is to propose strategic recommendations for building competitive advantages in intelligence, electrification, and globalization through the analysis of XPENG Motors' financial and operational data from 2021 to 2024, aiming to achieve sustainable growth and address market competition and policy challenges. Read More

Abstract: Financial statement analysis represents a fundamental component of audit procedures, requiring extensive examination of numerical data, trends, and relationships across multiple reporting periods. Traditional audit approaches rely heavily on manual analytical procedures and rule-based testing, leading to time-intensive processes and potential inconsistencies in analysis depth and coverage. The increasing complexity of financial reporting and growing volumes of financial data have intensified these challenges. This study proposes a Deep Learning (DL) framework designed to automate and enhance financial statement analysis in audit contexts. The framework integrates Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs) to analyze financial statement patterns, detect anomalies, and identify potential misstatements. Advanced deep learning algorithms process multi-period financial data to recognize complex relationships and unusual variations that may indicate audit risks. Experimental validation using financial statements from 500 public companies demonstrates that the proposed framework achieves 89.7% accuracy in anomaly detection and reduces analytical procedure time by 73%. The system successfully identifies potential misstatements and unusual fluctuations while maintaining high precision rates. Implementation results show significant improvements in audit analytical efficiency, consistency, and risk identification capabilities. Read More

Abstract: This paper focuses on the development status, challenges, strategic choices, and opportunities and challenges faced by the Hong Kong financial market of Chinese concept stocks under the background of tariff shocks. By analyzing the direct impact of escalating tariff shocks on the operating costs and market demand of Chinese concept stocks, as well as the increased delisting risk brought by tightening overseas regulatory policies to Chinese concept stock enterprises, this paper explores how Chinese concept stocks can make strategic choices in the capital market. At the same time, studying the market vitality and financial innovation opportunities gained by the return of Chinese concept stocks in the Hong Kong financial market, as well as the challenges faced by the Hong Kong financial market such as limited market capacity, weak liquidity, and regulation. Based on typical cases, policy recommendations are proposed for Chinese concept stock enterprises and the Hong Kong financial market, aiming to provide theoretical and practical guidance for Chinese concept stock enterprises to cope with difficulties and for the Hong Kong financial market to seize opportunities. Read More

Abstract: Macroeconomic fluctuations pose systematic challenges to business operations, and their global conductivity, industrial restructuring and policy technology superposition significantly amplify uncertainty risks. Based on the dual perspectives of dynamic capability theory and economic operation law, this paper puts forward that enterprise strategic adjustment needs to realize short-term, medium-term and long-term dynamic coordination: short-term through capital liquidity and capacity scheduling to ensure resilience, medium-term construction of policy response and risk control system to build up safety bottom line, long-term value chain topology reconstruction to break through cycle constraints. The study reveals that the essence of strategic adjustment lies in the three-dimensional interaction of resource allocation optimization, compliance system upgrading and value chain reconstruction. Enterprises need to transform external pressure into organizational evolution opportunity, form dynamic balance between anti-risk ability and innovation vitality through supply chain elasticity strengthening, stock asset activation and compliance closed-loop design, and finally establish sustainable competitive advantage in volatile environment. Read More

Abstract: The Sino-US trade war is a continuing economic conflict between the United States and China since 2018.It mainly focuses on tariff barriers, technology transfer and market access. The United States accuses China of unfair trade practices, including forced technology transfer, intellectual property infringement and industrial subsidies. China has taken counter-measures and imposed tariffs on American agricultural products and other commodities. The trade war led to the disorder of the global supply chain and impacted the economies of the two countries and the international market. Although the two sides signed the first phase of the trade agreement in 2020, the core contradictions have not been thoroughly resolved. The competition in the field of science and technology (such as semiconductor and 5G) is still intensifying. The trade war reflects the deepening strategic competition between China and the United States and has a far-reaching impact on the global economic pattern. The Sino-US trade war has a significant negative impact on the financial performance of China's high-end manufacturing enterprises. For example, Hikvision's financial performance continued to decline after the trade war. Read More

Abstract: Small and medium-sized enterprises (SMEs) are an important part of China's economy. Enhancing their competitiveness is crucial for promoting sustained and healthy economic development and is the driving force for their survival and growth. However, there are many factors influencing the improvement of their competitiveness. This paper takes Yiming Food Company as an example and analyzes it through Porter's Five Forces Model and SWOT analysis to reveal the opportunities and threats, as well as internal strengths and weaknesses that Yiming Food faces in the competition. Finally, it points out that the key to enhancing the competitiveness of SMEs lies in strengthening core competitiveness, cultivating innovative thinking, optimizing talent cultivation and incentive mechanisms, expanding market channels, and continuous improvement. These strategic suggestions are of great guiding significance for Yiming Food and other SMEs to enhance their competitiveness. Read More

Abstract: Based on panel data from 30 provinces in China from 2010 to 2022, this study constructs a green finance development index, an environmental regulation intensity index, and their interaction term to empirically examine the regional heterogeneity of their synergistic effects on high-quality economic development. Using a comprehensive evaluation system encompassing innovation, coordination, green development, openness, and sharing, combined with a two-way fixed-effects model, the results show that: The synergistic effects vary across regions: The interactive effect between green finance and environmental regulation significantly promotes high-quality development nationwide and in the eastern and central regions; however, in western China, this effect is statistically insignificant and exhibits a weak inhibitory trend. The core mechanism is clear: the high-end transformation of industrial structure and green technology innovation constitute a dual path for synergistically enhancing total factor productivity and driving high-quality development. Analysis of the Roots of Regional Disparities: The eastern region achieves deep synergy through its industrial foundation, mature financial markets, and efficient policy implementation; the central region experiences effective synergy during its transition period, but its intensity is limited; the western region, constrained by resource-based path dependence, a lack of green finance, ineffective regulation, and weak enterprise transformation capabilities, faces the challenge of balancing short-term compliance costs with long-term development momentum. Research Value and Policy Implications: The study confirms the significant spatial dependence of synergy effects, providing empirical support for differentiated regional governance. Future policies require precise positioning: the eastern region should strengthen institutional innovation leadership, the central region should focus on supporting transformation, the western region … Read More

Abstract: In accordance with the result of the back-test in different diversified portfolios in the African frontier market, African frontier markets provide both potential benefits and challenges, which was reasoned by their different degrees of disintegration and volatility from the global capital market. This study seeks to assess the diversification advantages objectively of African frontier markets using a back-testing methodology. The study employed portfolio optimization strategies to evaluate risk-adjusted returns and inter-market correlations, and it is possible to utilize daily log-returns from ten frontier markets spanning 2015 to 2024. The results indicated that diversity in African frontier markets offers substantial risk mitigation; nevertheless, excessive diversification might impact profits negatively. Aiming to optimize the investment benefits, the decision of investment had a demand to concentrate on balancing the integration degrees in portfolios. Read More

Abstract: Under the broad context of cultural and tourism integration, the development momentum of archaeological tourism continues to grow. Shaanxi Province, one of China's four major ancient capitals, possesses abundant archaeological resources. In recent years, Xi'an, Shaanxi, due to the uniqueness, representativeness, and diversity of its archaeological resources, coupled with the promotion through self-media marketing, has become a nationally recognized "internet-famous tourist city," exemplifying the integrated development of culture and tourism. This paper, through literature review, studies the feasibility, necessity, and pathways for archaeological tourism in Shaanxi, thereby promoting its development. Read More

Abstract: This paper takes China's first batch of carbon emission trading pilot cities (Shanghai, Beijing, Tianjin, Chongqing) as the research objects. Based on the carbon emission and nitrogen oxide emission data from 2011 to 2023, it comprehensively uses the Regression Discontinuity Design (RDD) and the Generalized Difference-in-Differences Model (RDD-DID) to systematically evaluate the environmental governance effects and pollutant emission reduction effects of the carbon emission trading system. The study finds that after the implementation of the "Guiding Opinions on Further Promoting the Pilot Work of Paid Use and Trading of Emission Rights" in 2015 in Shanghai, the coefficient of the policy treatment term is significantly negative (estimated value -0.572, p<0.01), indicating that the carbon emission trading system has significantly reduced nitrogen oxide emissions, and control variables such as economic development level (GDP), population density, and foreign direct investment (FDI) have a positive synergistic effect on emission reduction. However, due to the relatively mature carbon trading system in Beijing, the policy incentive effect is not significant. The RDD-DID model extended to the four municipalities directly under the Central Government shows that the overall emission reduction effect of the policy is significant (YPost coefficient -4.45, p<0.01), but the interaction term coefficient between the activity of carbon emission trading and the policy is significantly positive (0.238, p<0.01), revealing that resource crowding, side effects of technical substitution, and market mechanism fragmentation may weaken the synergistic governance effect of multiple pollutants. The study suggests integrating the market rules of carbon emission rights and emission permits, strengthening the local environmental assessment mechanism, and optimizing the differentiated pricing strategy to improve the synergistic efficiency of environmental policies and provide theoretical … Read More

Abstract: With the rapid development of artificial intelligence (AI) and the Internet of Things (IoT), smart home products have become integral to modern living environments. Among them, smart speakers represent a core device, acting as both control hubs for interconnected systems and interactive platforms between users and technology. This paper explores the human-computer interaction (HCI) design of smart speakers, emphasizing usability, natural interaction, and adaptive personalization. By analyzing design principles and recent innovations, this study examines how smart speakers enhance daily life while also confronting challenges such as privacy, accessibility, and trust. Drawing on contemporary research and case studies, the paper argues that effective HCI design requires balancing technological capabilities with user-centered needs. Findings highlight three critical dimensions: interaction modalities (voice, gesture, multimodal inputs), adaptive personalization, and ethical considerations of user data. The paper concludes that successful HCI design for smart speakers lies in developing seamless, inclusive, and trustworthy systems that not only respond intelligently but also align with human values. Read More

Abstract: With the in-depth development of the integration of culture and tourism in China, museums, as an important carrier of cultural heritage and tourism experience, are undergoing profound changes in their functions and roles. Based on the actual situation of Shaanxi Provincial Museum, this paper comprehensively analyzes the development status of Shaanxi Provincial Museum from multiple dimensions such as regional layout, type distribution, functional transformation, collection protection, infrastructure construction and audience experience. The study found that the number of museums in Shaanxi Province has grown steadily, but the distribution is uneven. Historical museums dominate, and characteristic museums are relatively insufficient. At the same time, the function of the museum is changing from a single cultural education to a multi-functional complex. Technology empowerment and digital transformation have become the key to enhancing the competitiveness of museums. However, the imbalance between supply and demand of popular venues, the survival dilemma of private museums, the shortage of talents and the imbalance of regional development are still prominent. In view of these problems, this paper puts forward some transformation and upgrading paths, such as integrating cultural resources, reconstructing spatial form, strengthening scientific and technological empowerment and deepening the integration of culture and tourism, in order to provide reference for the sustainable development of Shaanxi Provincial Museum. Read More

Abstract: This paper takes Y Township in Guizhou Province as a case to study the "last-mile" distribution problem in rural logistics. Against the backdrop of rural revitalization, Y Township, characterized by complex terrain, scattered population, and underdeveloped infrastructure, faces challenges such as low distribution efficiency, high costs, and poor user experience. The paper analyzes the drawbacks of the existing self-pickup mode and proposes countermeasures including integrating "self-pickup + crowdsourced delivery", piloting smart express lockers, developing agricultural product e-commerce, and cultivating professional talents. It aims to provide tailored and sustainable logistics solutions for rural areas with similar complex terrain and underdeveloped economies, so as to promote the healthy development of rural e-commerce and support the effective implementation of the rural revitalization strategy. Read More

Abstract: Amid the accelerated progress of global climate governance, bridging the significant climate finance gap is a core challenge in achieving temperature control goals. As two key market-based climate finance instruments, the synergistic development of green bonds and carbon markets holds significant potential for optimizing the efficiency of global climate finance allocation. This study focuses on the interplay between green bonds and carbon markets and the mechanisms that influence climate finance allocation. First, it systematically examines the current status and characteristics of the global climate governance finance gap and identifies the limitations of traditional funding sources. Second, it deeply analyzes the green bond market's role in providing low-cost, scalable financing for low-carbon projects and the carbon market's central role in guiding emission reduction investment flows through price signals. It focuses on theoretical pathways and empirical evidence for the interplay between the two markets in terms of price transmission, risk management, investor incentives, and information disclosure and sharing. For example, rising carbon prices boost the expected returns of green projects, thereby stimulating green bond issuance, and carbon credits generated by projects financed by green bonds can flow back into the carbon market. The study finds that current interplay faces obstacles such as policy fragmentation, diverging standards, varying market maturity, and insufficient cross-border coordination, significantly hindering the realization of synergistic effects. Based on this, we propose optimization paths, including strengthening top-level policy design to promote rule compatibility, promoting innovation in carbon financial derivatives, establishing a unified information disclosure and certification platform, exploring integrated products such as "carbon bonds," and deepening international coordination to facilitate cross-border capital flows. The research … Read More

Abstract: Environmental, social, and governance (ESG) factors have become a core consideration in global investment decisions. However, traditional ESG ratings suffer from limitations such as fragmented data sources, low processing efficiency, high subjectivity, and poor timeliness, hindering their in-depth application in investment practice. This study focuses on building an ESG rating model based on artificial intelligence (AI) technology, exploring its application value across the entire chain from data integration and rating generation to investment optimization. The study systematically examines the diversity and complexity of ESG data sources and proposes a framework for intelligent data collection and cleaning from multiple sources, integrating structured financial data with unstructured text and image data. At the model construction level, the application of natural language processing (NLP) technology in extracting key ESG issues and sentiment analysis is explored. This study employed machine learning (ML) and deep learning (DL) methods for feature construction and credit rating prediction, significantly improving the objectivity, dynamic responsiveness, and risk identification performance of ratings. The paper further explored the potential of AI-enabled ESG rating mechanisms in asset allocation optimization, risk control, and portfolio performance improvement. Strategy backtesting combined with historical data verified the model's practical effectiveness. Furthermore, the study explored key challenges and development paths, including model interpretability, algorithmic fairness, and data reliability. Experimental results demonstrate that the AI-based ESG assessment framework is valuable in improving information integration efficiency, enhancing rating accuracy, exploring deep risk correlations, and promoting proactive investment decisions, providing financial institutions with advanced digital analysis tools. Read More

Abstract: Taking Changhai County as a case study, this research explores the characteristics of tourists' emotional space and their influencing factors in island-type tourist destinations. It is based on online travel note text data and combines GIS spatial visualization, content analysis method and spatial autocorrelation method. Breaking through the limitations of traditional tourism image analysis, this study reveals the laws of tourists' emotional distribution and its correlation with temporal-spatial behaviors and attraction types through text emotion extraction and spatial modeling. The results show that: (1) The tourism image of Changhai County centers on the marine theme, presenting positive characteristics of the integration of leisure-experience natural scenery and fishing village culture. However, some negative emotions are caused by inconvenient transportation, environmental damage and management problems. (2) Tourists' temporal-spatial behaviors show the characteristics of complex cross-island flow, and the emotional space agglomeration is significant. Places such as Haxian Island form "high-high" emotional agglomeration areas, while some parts like Guanglu Island have a "low-high" heterogeneous pattern. (3) The type of attractions significantly affects emotional differences. The emotions towards coastal landscapes are polarized, those towards mountain scenery are positive, while the scores of historical buildings are low due to scale limitations. Based on these findings, suggestions are put forward, such as optimizing the transportation network, strengthening ecological protection, standardizing market management and exploring cultural resources, so as to enhance the emotional experience of island tourism and the ability of sustainable development. This study provides a methodological reference for the research on the emotional geography of island tourism and also offers empirical basis for the refined governance of tourist destinations. Read More

Abstract: Green bonds, as an innovative financial instrument, are characterized by the earmarking of funds for low-carbon environmental protection, climate adaptation, and other green projects, thereby integrating environmental benefits with economic returns. Compared to conventional bonds, the "green attribute" of green bonds enables investors to pay a premium for environmental value creation. However, existing academic research on green bond pricing primarily focuses on policy effect evaluations or market size measurements, lacking micro-level analyses of the mechanisms through which risk mitigation factors influence pricing. Prior studies have demonstrated that third-party green certification alleviates information asymmetry via signaling effects, corporate ESG ratings integrate environmental, social, and governance risks into dynamic risk assessment frameworks, and environmental information disclosure quality enhances market transparency. Nevertheless, the synergistic impact of these three dimensions on green bond pricing remains unexplored. Drawing on Asymmetric Information Theory, Credit Risk Theory, and Signaling Theory, this study innovatively constructs a multi-dimensional analytical framework to examine the risk mitigation mechanisms in green bond pricing. Specifically, it investigates the sequential roles of compliance-driven assurance (third-party green certification), comprehensive risk quantification (corporate ESG ratings), and transparency enhancement (environmental information disclosure quality Score). Considering 2017 as the pivotal year marking the deepening of China's green financial system construction, the research employs a multiple linear regression model using green bond data from Wind Database (2017–2024) to conduct empirical tests across three dimensions. Results indicate that third-party certification significantly reduces financing costs by mitigating information asymmetry, with its credibility effects particularly pronounced in publicly offered … Read More

Abstract: Technological innovation in the AI sector is rapidly advancing, with achievements like AI patents emerging as key assets in corporate competition. While the direct revenue from individual patents may be limited in the short term, leveraging them alongside traditional strengths such as enterprise scale has become a crucial strategic direction. Given the relatively weak immediate impact of AI patents on revenue, it is recommended that the government refine patent value orientation, foster collaborative applications, and enhance market integration. Enterprises should activate their existing patent portfolios, tap into their indirect value, and align them with service-oriented business models. Meanwhile, investors are encouraged to adopt broader evaluation criteria, recognizing the non-revenue contributions of patents based on industry characteristics. In this context, coordinated efforts among government, businesses, and investors are essential to reshape the current landscape. Read More

Abstract: The convergence of global value chain restructuring and China's manufacturing upgrades has driven Pearl River Delta (PRD) manufacturing enterprises to view cross-border mergers and acquisitions (M&A) as a key strategy for overcoming development bottlenecks and achieving a leap in performance. This article focuses on the practices of enterprises in the region and systematically analyzes the mechanisms by which cross-border M&A drives manufacturing upgrades. The study finds four core driving mechanisms: technological leapfrogging synergy, brand and channel integration, management paradigm upgrades, and value chain restructuring. On the technological level, reverse spillovers, R&D integration, and ecosystem development significantly enhance enterprises' core technological capabilities; brand and channel integration facilitates rapid access to high-end international markets and increases brand premiums; management upgrades strengthen enterprises' internal driving forces through optimized governance and operational efficiency; and value chain restructuring supports enterprises' migration from low- and mid-end processing to high-value-added segments such as R&D, design, and brand marketing. Empirical evidence shows that the effectiveness of M&A integration depends heavily on strategic fit, cultural integration, resource synergy, and dynamic adaptability. At the same time, geopolitical factors, cultural conflicts, and integration risks pose a triple obstacle. Pearl River Delta enterprises urgently need to strengthen strategic foresight, deepen due diligence, cultivate an inclusive culture, enhance integration capabilities, and leverage regional policies and cluster ecosystems. This study provides theoretical support for understanding the inherent logic of cross-border mergers and acquisitions in promoting manufacturing upgrades, and contributes practical guidance to regional and corporate decision-making. Read More

Abstract: With the rapid development of the biopharmaceutical industry, disputes over customs classification have become increasingly frequent. This study innovatively constructs a three-tiered game analysis framework of ‘signalling-bargaining-evolution,’ breaking through the limitations of the traditional customs-enterprise binary adversarial model. A four-dimensional risk quantification indicator system covering finance, operations, reputation, and legal aspects is established to achieve end-to-end loss prediction from the onset of disputes to supply chain disruptions. The study proposes an optimised regulatory pathway based on pre-ruling in free trade zones and blockchain-based evidence storage, and designs a ‘dual-database linkage’ cross-border genetic resource scheme. The findings provide compliance decision-making support for biopharmaceutical companies, offer customs authorities audit resource allocation strategies, and advance the modernisation of the industry's governance system. Read More

Abstract: The digital economy serves as a new engine for the endogenous development of China's economy, and its rapid growth will have a significant impact on enterprise financialization. This paper is based on the data of Shanghai and Shenzhen A-share listed companies from 2016 to 2021 and uses the fixed - effects model to explore the impact of the digital economy on enterprise financialization and its mechanism. The empirical results show that the digital economy promotes the deepening of enterprise financialization, and this result remains valid after robustness tests such as indicator replacement and the instrumental variable method. The digital economy increases the degree of enterprise financialization by exacerbating enterprise cash - flow pressure and reducing financing constraints. Further investigation of the impact path between them reveals that there are regional and enterprise - scale heterogeneities in the impact of the digital economy on enterprise financialization. This paper enriches the research on the digital economy and the financialization of the real economy of enterprises and provides a theoretical basis and policy reference for the digital economy to serve the real economy. Read More

Abstract: The acquisition of vocabulary is a cornerstone of mastering Chinese as a Second Language (CSL), yet it presents formidable challenges due to the logographic nature of characters, tonal complexities, and vast lexicon. While Mobile-Assisted Language Learning (MALL) applications have proliferated, many remain fragmented tools rather than holistic learning environments. This paper posits a theoretical shift from a tool-based perspective to an ecosystem model for CSL vocabulary acquisition. It takes as its conceptual starting point a hypothetical, state-of-the-art application, the “HanCi App,” to deconstruct the practical components of an ideal AI-driven learning experience. The features of this imagined application—including adaptive lexical profiling, multimodal contextualization, AI-powered production practice, and personalized feedback—are used as a springboard to theorize a broader, more integrated framework. This paper argues that an isolated application, no matter how sophisticated, is insufficient. Instead, it proposes the construction of an AI-Driven CSL Vocabulary Acquisition Ecosystem. This ecosystem framework extends beyond a single app to encompass a network of interconnected services: browser extensions for authentic content interaction, social media plug-ins for communicative practice, and learning management system integration for formal educational contexts. By connecting these disparate learning moments, the ecosystem leverages a unified AI engine to create a persistent, personalized, and context-aware learning trajectory for each user. This theoretical paper synthesizes principles from second language acquisition (SLA) theory, including Schmidt’s Noticing Hypothesis, Connectionism, and Sociocultural Theory, with contemporary advancements in artificial intelligence and educational technology. It aims to provide a robust conceptual blueprint for the future design, development, and implementation of technology that can holistically support the lifelong … Read More