ISSN 2959-6130(Print) ISSN 2960-1312(Online) Editor: Ji Chen (Denver University) Finance & Economics that provides a platform for scholars, practitioners, and students to share their latest research and insights in the fields of finance and economics. One of the journal's strengths is its coverage of a wide range of topics, from traditional finance topics such as investment, banking, and financial markets, to emerging fields such as behavioral finance, fintech, and sustainable finance. This ensures that readers are exposed to the latest and most relevant research in finance and economics. Finance & Economics also emphasizes practical applications of research findings, promoting research that has real-world implications for policy and business decision-making. This focus on practical applications makes it an invaluable resource for finance and economics professionals
Credit Card Default Prediction with Machine Learning: A Benchmarking Study on Imbalance Handling and Model Interpretability
Credit card default risk prediction is crucial for financial institutions to mitigate potential losses and ensure regulatory compliance. This paper addresses the challenge of imbalanced data and model interpretability in predicting default using the University of California, Irvine (UCI) Credit Card dataset. Experiments were conducted on a dataset of 30,000 clients, and feature engineering was applied to create a 33-dimensional space through logarithmic transformations and ratio feature construction. Logistic regression (LR), random forest (RF), and eXtreme Gradient Boosting (XGBoost) models were trained using stratified five-fold cross-validation and the Synthetic Minority Over-sampling Technique (SMOTE) to address class imbalance, and were evaluated with accuracy, recall, and area under the receiver operating characteristic curve (ROC-AUC). On a held-out 20 % test set, LR achieved an accuracy of 0.7896, a recall of 0.2266, and an ROC-AUC of 0.7255; RF achieved an accuracy of 0.7861, a recall of 0.5156, and an ROC-AUC of 0.7568; XGBoost achieved an accuracy of 0.8174, a recall of 0.5078, and an ROC-AUC of 0.7611. Shapley additive explanations (SHAP) analysis identified recent payment status, first-month bill amount, and payment-to-bill ratio as key predictors, thereby enhancing interpretability and supporting transparent model evaluation for financial risk management.
Towards a Dignified Sunset: The Resilient Shift from Lifespan to Healthspan in East Asia’s Longevity Era
East Asia is one of the most densely populated regions on earth. According to new UN Population Fund data, the average life expectancy is 73.16 years worldwide. Interestingly, the majority of East Asian countries greatly surpass this frequency. However, this puts up enduring sight soaring shipping costs and the world's best rapid demographic aging. A long lifespan, on the other hand, does not translate to an increased healthspan. Using a life-course perspective, this research examines the various aging issues that Japan, South Korea, and China experience across biological, social, economic, and policy regions. According to an empirical study of Healthy Life Expectancy data from 2000 to 2021, considerable native improvements have been made, perhaps at various levels. The report contends that using technology in elder care to prioritize healthspan over only longevity requires popular transformation, including embedding primary prevention of age-related diseases, generally redefining aging beyond standard xiao, and reallocating financial resources toward promotion of life-course health. It involves more activists, including institutional changes, in East Asia's cultural environment to reduce old-age bankruptcy and longevity risk. Due to shared issues, which are made worse by social resemblance and accelerated aging, cross-national cooperation is required.
Comparison and Analysis of the Sense of Social Belonging of Group and Individual Casual Laborers in China
Currently, a lower sense of social belonging has become a common problem faced by China's casual labor groups, which has impacted their mental health and social integration. This study aims to explore whether the collective strength of casual work is one of the factors affecting the sense of social belonging, analyze the possible reasons behind it, and propose feasible optimization suggestions based on the findings. This study conducts semi-structured interviews with two groups of casual workers separately: those engaged in collective labor and those working individually. By comparing the sense of social belonging exhibited by the two groups and analyze the causes, it was found that group casual laborers possessed a higher sense of social belonging compared to individual casual laborers, and that enhancing the collectivity of casual labors is one way to enhance the sense of social belonging of the casual laborers group. The study offers evidence as well as suggestions for enhancing the well-being of the casual laborers.
Mutual Benefits and Risk Governance between AI Applications and Online E-Commerce under Marketing Perspective
From the perspective of marketing, the integration of AI technology and online e-commerce has given rise to a mutually beneficial and win-win situation.AI helps e-commerce companies achieve accurate user profiling and personalized marketing by virtue of its data analysis capabilities, while optimizing supply chain management and user experience to improve operational efficiency; and e-commerce companies' rich application scenarios and massive consumption data provide important support for the training and iteration of AI algorithms, which promotes the continuous upgrading of the technology. The rich application scenarios and massive consumption data of e-commerce also provide important support for the training and iteration of AI algorithms, promoting the continuous upgrading of technology. However, the process of integration of the two has also exposed the risks of data leakage, privacy infringement, algorithmic bias, etc., which may affect the marketing effect and user trust. Therefore, it is necessary to build a risk governance system through sound regulations, strengthened technical protection and industry self-regulation to ensure the compliant application of AI in the field of e-commerce, and safeguard the healthy development of the industry while consolidating the win-win results.
As stakeholder demand for corporate social responsibility grows, environmental, social and corporate governance (ESG) has become an important non-economic dimension in measuring corporate value. This article explores in-depth the mechanism by which ESG factors influence the value of A-share companies based on Steckler's theory, resource dependency theory, stakeholder theory, and other related theories. By creating an empirical model and selecting data from A-share companies, using the Tobin Q-Value (TBQ) to measure the value of a company, and combining the ESG assessment system with regulatory variables such as asset size and debt repayment capacity, four research hypotheses were proposed and tested. Empirical results show that good ESG performance can have a positive impact on a company’s value. There is a U-shaped relationship between environmental performance and company value. When environmental performance reaches a turning point, improving environmental performance can significantly increase the value of the enterprise; Positive social responsibility behavior correlates positively with the value of the company; Optimizing corporate governance can effectively improve the value of businesses. The replacement of the enterprise's valuation indicator with the return on equity (ROE) and the replacement of the environmental performance explanatory variable with the Huazheng rating confirmed the reliability of the above conclusions. The conclusion of the study provides important references for companies to formulate ESG strategies, for policymakers to deploy regulations, and for investor decisions, highlighting the key role of ESG factors in adding value to a company in the A-share market.
Domestic Politics, National Interests, and Climate Commitments: A Comparative Study of China and the United States under the Paris Agreement
This paper conducts a comparative analysis of the climate governance models of China and the United States under the Paris Agreement, investigating how domestic politics and national interests shape their international commitments and compliance behaviors. As the world's two largest emitters, the U.S. and China have embarked on divergent paths. The U.S. demonstrates a model of "contingent participation," characterized by policy instability driven by partisan polarization, presidential transitions, and the influence of interest groups. This volatility reveals the fragility of its international commitments, which are often transactional and subordinate to domestic political struggles. In contrast, China exhibits a model of "coherent implementation," where climate action is a consistent, top-down state strategy integrated into its long-term national development goals, ensuring policy continuity. This study critically examines the explanatory power of liberal institutionalism, arguing that the Sino-U.S. divergence exposes the "illusion of liberalism." It finds that international norms and institutions like the Paris Agreement are insufficient to override the primacy of domestic political structures and interests. The paper concludes that a nation's internal political landscape is the fundamental determinant of its climate policy, and the effectiveness of global governance hinges on aligning international goals with the endogenous motivations and strategic interests of major powers.
Research on the Inner Logic, Dynamic Mechanism, and Evolutionary Path of Digital Economy Development
As a significant driving force of the world economy, the digital economy takes on an extremely important role in the economic development of all countries. This paper discusses the internal logic, motivation and evolution of digital economy. Based on the understanding of the concept of digital economy, this paper explains the differences between the digital economy and the traditional economy and the role played by digital technology. Analyzing the inherent development patterns of digital economy from the perspectives of technological factors, economic factors, social factors, etc., this paper examines influencing factors such as technological innovation, market demand, policy support, and industrial convergence on the digital economy. Furthermore, it categorizes the development stages of the digital economy, proposes corresponding evolutionary models, and predicts future development trends. Finally, it suggests that the government improve data governance and social supervision to provide a foundation for the sustainable development of the digital economy.
Exploring the Interplay of Corporate Governance, inter-generational Inheritance, and Innovation Strategy Driven by Socio-Emotional Wealth
As an important part of the global economy, family firms, with their unique dual logic (family logic and corporate logic), exhibit significant features in their organizational forms and development paths. This study takes family firms as the research object, focusing on the interaction of its dual logic and their impact on the relationships between corporate governance, inter-generational inheritance, and innovation strategy. Through literature analysis, case studies, combined with domestic and international classic literature such as socio-emotional wealth theory and incomplete contract theory, this study reveals the characteristics of family firms in terms of concentration of ownership, closure of inter-generational inheritance, and innovation decision-making. It is found that socio-emotional wealth (SEW) is a core driver of family firms' decision-making, but it may also inhibit innovation and external resource integration; balancing this tension is therefore critical The conclusion suggests that family firms need to optimize their shareholding structure, establish a compensation mechanism for SEW, and progressively open up their operating rights to achieve sustainable development.
The Impact of Urban Housing Purchase Restrictions on Real Estate Prices and Household Consumption: A Difference-in-Differences Approach
This study investigates the impact of urban home purchase restriction policies implemented in China’s real estate market in recent years on housing prices and household consumption, employing a difference-in-differences (DID) methodology. The study expands the interdisciplinary intersection of economics and sociology, enriching the empirical literature on this topic. Furthermore, the findings are translated into practical applications to enhance residents’ quality of life through threefold value creation. The comprehensive empirical analysis yields the following conclusions: First, standalone home purchase restrictions failed to significantly reduce housing prices or consumer price levels in the short term within the treated cities. Second, a significant bidirectional positive correlation exists between housing prices and consumer prices. Overall, the interplay between the real estate market and the consumption market reveals notable inertia and lag in policy transmission effects. Consequently, policymakers must adopt more comprehensive policy combinations when regulating the real estate market and fully anticipate the lagging characteristics of policy impacts to achieve long-term stable development goals.
Comparative Study of Urban Innovation Ecology and Regional Synergy in Three Regions
As global economic integration intensifies, the multilateral trading system undergoes restructuring, and regional trade agreements (RTAs) assume a more significant role, industrial policy at both national and regional levels confronts the critical challenge of adapting to the evolving institutional landscape. Considering these situations and based on the theory of regional economic integration, this study uses the Ruhr region, Silicon Valley, and the Yangtze River Delta as typical cases to systematically compare the institutional suitability of industrial policies in the context of global economic integration. This is done against the backdrop of the rapidly deepening global economic integration, the reconfiguration of the multilateral trading system, and the prominent role of regional trade agreements. Quantitative information and qualitative examples are combined to compare the industrial policies of the three regions. Underutilization of international rules and notable institutional cost disparities are identified as issues facing the Yangtze River Delta region. Thus, by dismantling administrative divisions, encouraging innovation and transformation, and generating cash, this study suggests enhancing the administrative effectiveness of domestic cities through institutional openness.
Synthesis of Research on Fiscal Transfers for Coordinated Regional Development
The fiscal transfer system, a crucial instrument for encouraging coordinated regional development is the fiscal transfer system, which is a significant component of the contemporary financial system and a key tool of national governance. As China's coordinated regional development policy has been implemented more thoroughly in recent years, the central government has boosted its transfer payments to local governments and proceeded to reform and enhance the fiscal transfer system. There is some practical value in investigating how finances transfers affect to regions coordinated growth. The role of regional coordinated development, the importance of implementing fiscal transfer payments, and its effects on regional coordinated development are the main topics of this paper. It also offers a cross-regional macro overview of regional coordinated development and makes pertinent recommendations from the standpoint of spreading regional coordinated development in the new era. This paper's theoretical investigation demonstrates that both special and general transfer payments support the local economy.
A Review of the Law of Land Value Change under Different Urban Renewal Models
With the continuous evolution of urban spatial structures, urban renewal has become a key path to improve land use efficiency and enhance urban quality. This paper systematically sorts out the mechanisms through which three typical urban renewal models influence land value. The government-led model drives significant increases in land value through large-scale spatial reconstruction; the market-led model, oriented toward efficiency and return on investment, facilitates rapid land appreciation; and the community participation model, which emphasizes cultural preservation and social integration, contributes to a gradual and sustained rise in land value. The results show that the impact of different renewal models on land value is significantly heterogeneous due to the difference in goal orientation and driving force, and it is difficult for a single model to take into account multiple development goals such as economy, society and culture. Therefore, it is necessary to further consider promoting the collaborative governance of multiple subjects and the integration of models to achieve the overall optimization of land value and the sustainable development of urban renewal.
A Review of the Synergistic Mechanism between Green Low-Carbon City Construction and Industrial Structure Adjustment
With the intensification of global warming challenges, people have begun to pay attention to how to build low-carbon cities and the adjustment and transformation of industrial structures. However, existing research lacks systematic analysis of the synergistic mechanisms between these two aspects. This study conducts a systematic analysis through a policy-technology-society tri-dimensional framework, examining the coordination between policy and innovation, the synergy between cities and industries, and drawing on global experiences to focus on the gradual transition pathways of industrial transformation in developing countries. This study provides a theoretical basis for low-carbon city construction and industrial restructuring. Building low-carbon cities requires systematic coupling of policy guidance, technological innovation, and social participation. Policies serve as the fundamental guarantee, requiring strengthened institutional frameworks and market incentives. Technological synergy acts as the core driver, demanding breakthroughs in cost reduction and high-carbon effect mitigation. Social collaboration forms the implementation foundation, needing enhanced public participation and equitable transition mechanisms. Future research could compare capacity, efficiency, and cost changes during the transition from traditional chemical industries to new energy sectors, identifying renewable energy types with minimal production losses.
A Study on the Motivations and Governance Strategies for "Greenwashing" Behaviors of Chinese Enterprises in the Context of ESG Disclosure
Against the backdrop of the "dual carbon" strategy, environmental, social, and governance (ESG) information disclosure has become a focal point for capital markets. However, some companies engage in misleading disclosure practices to "greenwash" their environmental performance, undermining market fairness and green transition objectives. This study, based on literature analysis and case studies, systematically examines the internal and external drivers of "greenwashing" behavior among Chinese firms, identifying key factors such as management incentives, organizational culture, governance deficiencies, investor preferences, regulatory arbitrage, and industry imitation. It proposes targeted governance strategies at the national, societal, and firm levels. The study finds that greenwashing is a rational choice driven by multiple intertwined factors, and governance must achieve synergy among institutional constraints, public oversight, and internal mechanisms. This research enriches the theoretical framework for studying corporate green behavior and provides practical reference value for improving ESG regulatory policies and enhancing the quality of corporate information disclosure.
Since 2011, China's State Council has accorded high priority to developing the intelligent eldercare industry, establishing a national policy framework that provides macro-level guidance and advances pilot initiatives globally. Exploring innovative smart aging models represents both an essential requirement for optimizing governance systems and capacities, and an intrinsic necessity for elevating public services to high-quality development standards. This research synthesizes China's current smart eldercare landscape through literature analysis, examines Artificial Intelligence (AI) implementation in aging services, and details community-level smart aging pathways within big data environments—focusing on data-driven identification of seniors' actual and potential needs, constructing IoT-based elderly care platforms through resource integration and service innovation, and delivering diversified support including companionship, education, and counseling. Findings reveal persistent challenges: primary state dominance constrains eldercare service diversification; the pronounced "silver digital divide" reflects low internet adoption among elders; and smart health infrastructure requires substantial refinement. The study concludes with actionable recommendations for industry advancement.
Corporate Managerial Overconfidence and Debt Default Risk—— A Case Study of Evergrande Group
In recent years, China's real estate industry has faced severe debt risks under the "housing is for living, not for speculation" policy. This policy orientation, emphasizing the fundamental attribute of housing as a residence rather than an investment vehicle, has gradually tightened financing channels for real estate enterprises. The debt crisis of Evergrande Group, the world's most indebted real estate enterprise, has attracted widespread attention. Based on behavioral finance, this paper takes Evergrande as a case to explore the impact mechanism of managerial overconfidence on debt default risk. It is found that the management of Evergrande showed significant irrational characteristics in strategic decision-making: ignoring policy regulations, maintaining high-leverage operations through debt financing, and suffering governance failures due to centralized family control. The study reveals that managerial overconfidence has a stronger explanatory power for debt risks than traditional financial indicators, providing a new perspective for debt default research and practical implications for corporate governance reform, industry risk prevention, and policy optimization.
How will non-aeronautical revenue benefit large civil airports? —— An analysis of Shanghai Pudong International Airport.
This article will take Shanghai Pudong Airport as a research case. Through the search of previous literature materials and the exploration of non-aeronautical income of the airport, etc. it will explore the composition of non-aeronautical income of the airport and the deficiencies in the current development of non-aeronautical resources and discuss the methods that can effectively increase the proportion of non-aviation income and non-aviation industry income of the airport.
The Influence of Social Media on Brand Equity: Analyzing the Four Dimensions of Consumer-Based Brand Value
This study focuses on the transformation of brand communication in the digital age, particularly under the profound influence of social media platforms such as Instagram, TikTok, Weibo, and Redbook. As consumer attention shifts toward highly interactive, algorithm-driven environments, traditional brand-building models have struggled to adapt to new forms of engagement and value creation. As social media becomes a primary medium for brand-customer interaction, the ability to evaluate and manage brand equity in this context is essential for sustaining long-term competitive advantage. This research contributes to evolving literature by offering an integrated analysis of how digital platforms shape consumer-based brand equity in real time. The research primarily adopts the method of literature analysis, reviewing a wide range of academic studies, marketing reports, and case examples across platforms and cultural contexts. This approach allows for a systematic comparison of brand-building mechanisms while highlighting cross-platform patterns and emerging consumer behaviors. The strength of this method lies in its ability to synthesize diverse perspectives and identify theoretical gaps, offering a comprehensive understanding of the topic.
Analysis of Marketing Strategy Optimization of Textile Enterprises
This paper focuses on the optimization of marketing strategies of traditional textile enterprises, aiming to provide practical marketing strategy improvement solutions for textile enterprises through in-depth research on the current situation and development trend of the market. In terms of research background, the current textile industry is facing many challenges such as weak market demand, rising costs, and intensified international competition. The research theme revolves around how to optimize the marketing strategy of textile enterprises to enhance their competitiveness and market adaptability. In terms of research methods, literature review and case analysis are comprehensively used. The results show that textile enterprises need to formulate comprehensive marketing strategies from product innovation, channel expansion, brand building, price strategy and customer relationship management. For example, textile enterprises have successfully doubled their foreign trade sales by optimizing the foreign trade market and increasing investment. In addition, companies need to pay attention to emerging trends such as environmental protection, sustainability, and personalization to meet the increasingly diverse needs of consumers. The research conclusion points out that by optimizing marketing strategies, textile enterprises can enhance their competitiveness and achieve sustainable development in the fierce market competition.
The impact of Sensorial Marketing and Mystery Box Marketing on Live-stream Shopping Behavior: Taking the Live Card Break as an Example
With the rise of Internet economy, more and more investments are allocated to live streaming economy, its marketing model has become one of the main commercial models in nowadays society, especially in the blind break product. This thesis bases on SOR theory strategy, finding that sensorial marketing and mystery box marketing have positive impacts on live-stream shopping behavior. Also, perceived luck serves as a partial mediating variable in this relationship. In conclusion, this research discovers that mystery box marketing observes a modest but statistically significant correlation on live-stream shopping behavior. In contrast, sensorial marketing has a statistically significant correlation. These findings substantiate the hypothesis that mystery box marketing ought to enhance its influence on live-stream shopping behavior in the future. Corporation can implement their marketing strategy by focusing on sensorial marketing, with mystery box mechanics as a secondary element. For example companies can enhance training of streamer’s emotional contagion, or increase the probability of secret design in different ways. This has certain reference significance for the live-stream industry.
Energy is the significant resources for global economic growth and development and for human daily life. In recent years, the increasing scarcity of energy and the continuous rise in energy prices have posed more severe challenges to many countries in the current international environment. Residents' energy consumption, which can be categorized into indirect consumption from production driven by consumption and direct consumption for daily living, is intricately linked to their consumption behavior. And as we know, income levels play a decisive role in shaping this consumption behavior. Different income brackets often lead to distinct energy consumption patterns; for instance, higher - income individuals might consume more energy through luxury goods production and larger living spaces, while lower - income groups focus on basic energy needs for survival and daily activities. Given this crucial connection, understanding the factors that influence income becomes paramount. This paper uses a sample size of 65,062 and applies two methods, univariate analysis and bivariate analysis, to comprehensively analyze the impacts of micro - factors such as an individual's years of education and macro - factors such as industry characteristics on personal income. A logistic regression model is constructed to predict the level of personal income based on different income - influencing factors, aiming to identify citizens with a wage level of less than $50,000 and assist the government in formulating relevant policies. The study finds that: The coefficients of some levels of education, workclass, and native country are positive. An increase in these factors will lead to an increase in the probability of a person having a salary of <= 50,000. The coefficients of age, fnlwgt, marital_status, working_hours_per_week, some levels of education, workclass, and native country are negative. An increase in these factors will lead to a decrease in the probability of a person having a salary of <= 50,000. Based on the above research results, this paper puts forward corresponding policy recommendations for enhancing the income level of vulnerable groups and improving their quality of life.
The Impact of the TikTok Platform on SMEs' International Market Entry Strategies
From a supply chain management perspective, this paper systematically analyses how the TikTok platform helps SMEs reduce international market entry barriers through data-driven, logistics integration and demand forecasting capabilities. The study shows that TikTok's real-time interactive data can increase demand forecasting accuracy by 40% - 60%, reduce logistics costs by 15% - 25%, and increase inventory turnover by 30% - 50%. Through the cases of Thailand's "SME Programme", Indonesia's beauty brands and cross-border logistics cooperation models, this paper demonstrates the role of TikTok in driving supply chain agility, localization and collaboration, and proposes a strategic framework for SMEs to integrate TikTok marketing and supply chain management. The findings suggest that TikTok is not only an efficient marketing tool for SMEs to enter the international market, but also a key platform to optimize supply chain management and enhance global competitiveness.
This paper examines the flaws of the London Interbank Offered Rate (LIBOR) and its replacement, the Secured Overnight Financing Rate (SOFR). As a key benchmark in global finance, LIBOR faced a crisis of confidence due to manipulation and inaccuracy, particularly during the 2008 financial crisis. Its subjective determination process, based on bank estimates rather than actual transactions, made it vulnerable to exploitation, as evidenced by the 2012 LIBOR scandal. The article explores LIBOR’s role in the Eurodollar market, highlighting how its pricing mechanism allowed for manipulation. In response, SOFR was adopted in 2022 as a more transparent and transaction-based alternative. However, SOFR presents challenges, including higher volatility and a lack of term structure. Despite transition difficulties and market inertia, SOFR is emerging as the dominant benchmark for USD-denominated assets, signaling an irreversible shift in financial markets.
The Impact of Digital Finance Development on Urban Economic Resilience — An Empirical Study on the Mechanism and Heterogeneity Effects Based on Data from 2012 to 2022
Based on balanced panel data comprising 2409 observations from prefecture-level cities in China (2012–2022), this study applies fixed-effects models, mediating effect models, and heterogeneity analysis to empirically investigate the mechanisms and differential impacts of digital finance development on urban economic resilience. Results indicate that digital finance exerts a statistically significant positive effect on urban economic resilience. Mechanism analysis demonstrates that digital finance indirectly strengthens economic resilience through fostering industrial co-agglomeration and stimulating entrepreneurial activity. Heterogeneity analysis further reveals that this enhancing effect is markedly stronger in economically advanced cities and provincial capitals.
Can Short Selling Improve Corporate Investor Protection? ： A Case Study of CITIC Securities
This paper takes the "Huge Loss Gate" incident of CITIC Securities as the research object, and explores the impact of the short-selling mechanism on corporate investor protection by combining the practice of short selling through margin trading in China. The study finds that in a weak legal risk environment, although margin selling theoretically has a price discovery function, the spread of false negative information leads to abnormal stock price fluctuations, and the imbalance between short-selling profits and violation costs weakens investor protection. The study indicates that improving the legal supervision system and strengthening information disclosure constraints are prerequisites for the short-selling mechanism to enhance investor protection.
An In-depth Analysis of Nike's Stock Decline
This study takes Nike's continuous stock price decline over the past five years as the research object and conducts an in - depth analysis by comprehensively applying mixed research methods. It is revealed that Nike's stock price decline is the result of the intricate interplay between internal operational dilemmas and external environmental challenges. Internally, there are issues such as lagging product innovation, ineffective cost management, and slow digital transformation. Externally, it is influenced by global economic instability, intense market competition, and the shift in consumer preferences towards sustainable development. Nike's current countermeasures have not achieved satisfactory results; cost - cutting measures have affected its operations, and the digital transformation process has been slow. In the future, Nike needs to make comprehensive adjustments in multiple aspects, including product innovation, cost control, digital transformation, and social responsibility, to have a chance of achieving a rebound in its stock price. This research provides a new perspective for the study of influencing factors of sports brand stock prices and also offers valuable references for corporate strategic decision - making and investment decisions.
Determinants of Cross-Border Online Shopping Behavior: An Analytical Framework and Strategic Responses
With the continuous development of cross-border e-commerce, the number of cross-border consumers is constantly increasing. More and more enterprises are making profits through cross-border e-commerce. Research on the factors influencing cross-border consumers’ purchasing decisions can help optimize global market strategies, increase conversion rates, and enhance competitiveness. By analyzing key factors such as price, logistics, and payment, enterprises can precisely identify customer needs, reduce costs, avoid risks, and ultimately achieve growth in international business. In the context of booming cross-border e-commerce, these insights will become the key to the success of enterprises. Analyze the current situation of the cross-border e-commerce market and the preferences of two types of cross-border consumers regarding product price priority and logistics priority case. Understanding the influence of product price factors and logistics factors on the purchasing decisions of cross-border consumers also, other factors were studied for their influence, like brand reputation, after-sale service, and payment security. For each question, referencing some successful enterprises, take a look at how they deal with these problems and propose a few feasible solutions or optimization strategies. Financial partnerships like supply chain financing boost cash flow across the entire business network. Building trust through transparency, reliability, and fair risk-sharing creates stronger, longer-lasting partnerships. Clear contracts and systems prevent disputes and keep operations running smoothly. This article holds useful ideas for both cross-border e-commerce enterprises and consumers. It can help enterprises optimize their strategies and enable cross-border consumers to have a better shopping experience.
Analysis of the Transmission Mechanism of Monetary Policy on Economic Resilience
This study examines the relationship between China's monetary policy and economic resilience from 2010 to 2022, with a focus on the relationship and impact mechanism between interest rates and economic resilience. The aim is to identify the connection between monetary policy and economic resilience and discover how to enhance national economic resilience through monetary policy. This study employs ordinary least squares regression, and the interest rate is used as the core variable which is closely related to monetary policy. The results show a significant negative relationship between interest rates and economic resilience, and key factors such as urban unemployment rate and total import and export volume also have significant relationships with economic resilience.
Analysis of marketing strategy of milk tea industry-Taking CHAGEE as an example
This study combines the 7P marketing theory with the SWOT analysis method, using the emerging tea brand CHAGEE as an example, it explores its marketing strategies in the Chinese tea market and the influence of consumer behavior. Through a questionnaire survey (103 valid samples) and secondary data analysis, the study found that the main motivations for consumers to choose CHAGEE were novelty-seeking (51.5%) and trend-following (44.7%), and the frequency of female consumers was significantly higher than that of male consumers. The 7P model analysis shows that product taste (38% of respondents rated it as ‘extremely attractive’) and material health (31.1%) are core competencies, and offline billboard (55.3%) and online ordering (52%) constitute the main channel advantages. In the promotion strategies, discount coupons (55.3%) and celebrity endorsements (68%) have significant effects. The study also found that the attractive store decoration integrating traditional and modern elements (55.3%) and high-quality after-sales service (83.5% satisfaction rate) effectively enhanced brand loyalty. This research provides empirical evidence for the optimization of marketing strategies in the tea industry and suggests that CHAGEE should further expand its product lines and strengthen digital marketing.
The impact of fiat digital currencies on the hegemony of the US dollar
The hegemony of the US dollar is a central feature of the current international monetary system, and the US dollar has long dominated global payments, settlements and reserves. However, with the development of digital currencies, especially fiat digital currencies, the hegemony of the US dollar is facing an unprecedented impact. This study analyzes the formation basis and evolution path of US dollar hegemony from the two dimensions of history and reality, and points out that the three pillars behind it are national credit, the dominant force of the financial system, and the military strength of science and technology. Furthermore, through theoretical and empirical analysis, this study explores the institutional advantages of fiat digital currency in reducing cross-border transaction costs, improving settlement efficiency and security, and its potential weakening effect on the dominance of US dollar settlement. Using the difference-in-difference model and combining data from multiple countries, it is empirically found that the launch and promotion of legal digital currency have significantly reduced the proportion of US dollars in international settlements to a certain extent, especially in developing countries and high-inflation economies. The conclusion shows that fiat digital currency has the potential to reshape the global monetary landscape and promote the diversification of international currencies.