All of the articles in this proceedings volume have been presented at the ICHCH during November 21st-23rd in Hangzhou, China. These articles have been peer reviewed by the members of the [Scientific Committee] and approved by the Editor-in-Chief, who affirms that this document is a truthful description...

With the development of population aging stress in China and increasing urban stress, the role of pets has become more essential on a daily basis, which could offer fantastic companionship and significantly relieve pressure, while the pet economy has gradually become an emergent economic pattern. While...

This paper explores how the Lipstick Effect manifests in China’s trendy toy market through the case of POP MART and its emotionally driven character IPs. It addresses two core questions: why do young consumers continue to purchase non-essential collectibles during periods of economic stress? And what...

JYP Entertainment has made important contributions to the international influence of the Korean entertainment industry. In recent years, the Korean entertainment industry has become an important contributor to global cultural output. This article examines JYP’s asset valuation methods in the form of...

In recent years, music festivals have become not only a symbol of unique cultural experiences but also powerful branding platforms. This study examines how the Coachella Valley Music and Art Festival (hereafter mentioned as “the festival” or “the Coachella music festival”) has used social media marketing,...

The digital transformation of the global retail industry is accelerating, and the integration of omni-channel has become a core trend. Against the backdrop of digital transformation, Amazon’s acquisition of Whole Foods Market in 2017 marked a pivotal move in its strategy to establish an omni-channel...

Since the time of Bitcoin’s issuance, cryptocurrencies have gradually become an important development trend in the field of financial science and technology, and their operating logic is fundamentally different from that of the traditional monetary system. The rules for the issuance and distribution...

Effective cash flow management is a critical determinant of enterprise financial health, particularly in shaping optimal capital structures. Despite growing attention to corporate liquidity strategies, existing literature lacks a focused investigation into how cash flow management influences capital...

This paper explores the asset valuation of social media platforms with a particular focus on TikTok. Asset valuation is a critical system for determining the economic worth of a business enterprise, and for corporations in the digital sector, particularly those in the social media industry, it is a vital...

Against the backdrop of the gradual deepening of energy and technological transformation in today’s world, the integration of digital transformation and ESG practices in new energy automobile enterprises has become the key to gaining an edge in the industry competition. Taking BYD as the research object,...

Under the wave of digital transformation in the global retail industry, traditional retailers face the challenge of shifting from “scale expansion” to “efficiency-driven” development. MINISO, as a benchmark brand in fast-fashion retail, offers significant reference value for its digital transformation...

With the increasing uncertainty of the global business environment, digital transformation has become a key way for enterprises to improve resilience and performance. In platform enterprises, the strategic governance mechanism is the key bridge between digital capabilities and organizational results....

In today’s digital wave, many traditional chain enterprises are starting digital transformation due to technological advances and new consumer habits. This has led to new pressures of brand competition. As the most valuable fast food brand in the world today, McDonald’s naturally got involved in this...

In 1960, most Singaporeans living in slums and crowed settlements. The Housing & Development Board (HDB) was set up in 1960 to solve Singapore’s housing crisis. Within 10 years, HDB built a large number of houses which successfully solved the housing crisis. Now HDB has built more than 1 million...

This study examines the complex problem of intangible asset valuation in the gaming industry, focusing on Tencent’s acquisition of Supercell in 2016, through a combination of theoretical valuation methodologies in cross-border mergers and acquisitions. This study reveals the limitations of the cost approach...

The incorporation of Environmental, Social, and Governance factors into corporate valuation has evolved from a niche consideration into a mainstream analytical lens, particularly within China’s dynamic securities brokerage industry. Using CITIC Securities as a case study, this paper explores how ESG...

Predicting automobile insurance claim is essential for risk assessment, premium calculating, and fraud detection. All of which help ensure the profitability and stability of insurance companies. This study introduced a novel engineered feature, the Collision Index, designed to quantify localized automobile...

This study deeply analyzed the problem of used car price prediction based on machine learning methods. By constructing two models, linear regression and random forest, and comparing their prediction performance, the essential influence of model structure on price prediction accuracy and generalization...

The heart is the core of the human circulatory system, providing a continuous supply of oxygenated blood to different organs in the body. However, when the heart can no longer effectively pump blood to the other organs, heart disease may develop. Therefore, the effective treatment and early diagnosis...

With the continuous development of machine learning methods, various types of models are increasingly used in stock prediction. However, the systematic comparison between traditional machine learning methods and deep learning methods is still relatively insufficient for classification prediction tasks...

Against the backdrop of the increasingly severe problem of financial fraud, this study is dedicated to constructing an efficient fraud detection model. First, exploratory data analysis is employed to analyze financial data. Analyses of univariate and multivariate variables are carried out to gain insights...

Credit card fraud poses a growing threat to global financial systems. The rarity of fraudulent transactions makes this a highly imbalanced classification problem, requiring models that can maintain high recall without sacrificing precision. The effectiveness of four supervised learning models is assessed...

In recent years, China’s female-oriented game market has experienced explosive growth, particularly in the otome game. However, traditional games often fail female players due to gender stereotypes and a lack of emotional depth, while even popular otome games face challenges like repetitive gameplay...

Recently, Environmental, Social, and Governance (ESG) has become increasingly important in investment decisions. As a result, many investors are questioning whether ESG scores can help predict stock performance, especially in the technology sector. This study investigates whether ESG scores can enhance...

Accurate loan default prediction is crucial for credit risk management. This study used Kaggle’s Loan Default Prediction dataset, applying preprocessing (cleaning, encoding, scaling) and testing six models: Logistic Regression, Decision Trees, Random Forest, eXtreme Gradient Boosting (XGBoost), Light...

The rapid development of peer-to-peer lending platforms has provided a more efficient financing channel for the consumer credit market. However, limited borrower information and the regulatory environment increase the difficulty of predicting default risks. In the problem of default prediction, there...

Artificial intelligence (AI) has become a common technology on e-commerce platforms, revolutionizing consumer behavior. One of the most effective technologies is product recommendation systems. AI systems leverage behavioral data, interaction history, and contextual information to analyze and predict...

Accurate weather prediction is crucial for numerous applications, ranging from daily decision-making to emergency response and disaster mitigation. This study introduces an adaptive ensemble method for temperature forecasting that integrates two distinct machine learning algorithms. The ensemble framework...

In this work, a machine learning benchmark is set for the prediction of the evolution of the price of Bitcoins from OHLCV data available for 2,713 trading days from 2014 to 2023. The three most basic algorithms (logistic regression, random forest and XGBoost) are tested under time-based validation aimed...

With the deepening of economic globalization and the international flow of financial capital and assets, the stock markets of different countries tend to be interconnected, and there will be correlations and co-movement among the stock markets globally or regionally. This study aims to predict the daily...

Credit card default has become an increasingly urgent issue in the financial field, causing huge economic losses and systemic risks. Traditional statistical methods, are no longer sufficient to handle the complexity and scale of modern financial data, especially their ability to manage nonlinear relationships...

With the acceleration of urbanization and the increase of industrial emissions, air pollutants have posed an increasingly serious threat to human health and environmental safety. This study uses an air pollution dataset collected from Southeast Asian countries, which contains multiple pollutant concentration...

Credit risk default classification is a cornerstone of modern financial risk management, enabling institutions to optimize lending, allocate capital efficiently, and mitigate losses, with accurate predictions directly impacting financial system stability amid economic volatility. A critical challenge...

This study addresses the challenge of short-term stock-price forecasting by comparing six regression techniques for predicting the same-day closing price of Tesla, Inc. (TSLA). A ten-year dataset (September 2014–September 2024) of daily open, high, low, close, and volume data was enriched with technical...

One of the most prevalent and fatal tumors that impact women globally is breast cancer. Traditional diagnostic methods, while effective, can be costly. The goal of this research is to improve the precision and effectiveness of breast cancer detection by combining feature selection techniques with machine...

This study developed a machine learning framework that uses environmental variables to predict the degree of coral reef bleaching, filling some important gaps in current predictions. Apply random forest models, XGBoost, and neural network models in projects involving variant forests and pH anomalies,...

In recent years, credit cards have become deeply integrated into personal financial activities. While they provide ease and flexibility, they also introduce new challenges for managing financial risk. As the volume of credit card usage grows, concerns over potential defaults have drawn growing interest...

This paper investigates the problem of predicting purchase intent based on early-stage user interaction sequences in e-commerce browsing sessions. The task is formulated as a binary classification problem, aiming to determine whether a purchase will occur using only the first three events of each session....

This paper analyzes BMW’s digital transformation strategy due to intense competition and disruptive technologies in the automotive sector. The study emphasizes the need to adopt technologies like AI, big data, and business models based on platforms to stay ahead of the competition. It presents BMW’s...

With the advancement of digitalization, Generation Z, as the native of the Internet, has become the core consumer for sports brands to compete for. This research focus on Nike, a world renowned sport brand, and analyzes its digital marketing strategy from the perspective of Generation Z. Through exploring...

This study presents a comprehensive analysis of Midea Group’s digital transformation as a paradigmatic case of manufacturing industry evolution in the Industry 4.0 era. Grounded in China’s “Made in China 2025” strategic framework, the research systematically investigates three transformative pillars:...

Recently, digital transformation has established itself as a primary impetus behind the evolution and competitive edge of companies. With the ongoing development of innovations such as autonomous driving, connected vehicles, and big data, automotive manufacturers are now confronted with the crucial task...

Against a backdrop of global economic deceleration and shifting consumer mindsets, the affordable economy has emerged as a pivotal variable shaping corporate operations. Focusing on the adaptive challenges of digital marketing strategies under cost-sensitive market conditions, this study adopts a mixed-methods...

Facing structural challenges such as data silos, high maintenance costs, legacy equipment integration issues, and linear business models, traditional manufacturing enterprises urgently need digital transformation to maintain competitiveness. Leveraging the Industrial Internet concept introduced by General...

Amid the global automotive industry’s shift toward electrification and intelligence, digital transformation has emerged as a critical driver for new energy vehicle (NEV) enterprises to boost core competitiveness. This paper focuses on BYD, conducting an in-depth analysis of its digital transformation...

This research essay explains the intricate relationship of artificial intelligence (AI) and higher education, and the challenges and opportunities it presented. It first describes current AI applications in education, such as individualized learning environments tailored to each student’s particular...

Amidst the global wave of digital transformation, the study of digital transformation has emerged as a pivotal research focus. This research delves into the case of Nike, a leading enterprise in the sportswear industry, as a typical example. The methodology employed is an in-depth case analysis, systematically...

The rapid evolution of artificial intelligence (AI) technologies has exerted an increasingly significant influence on the restructuring of business models in the retail industry. Nevertheless, existing research in this domain remains relatively limited and leaves considerable gaps. This study focuses...

In order to solve the imbalance between supply and demand of rural community education under the background of rural revitalization, this paper is based on the actual situation in rural my country, and is supported by matching market design foundation, bilateral matching theory, allocation model and...

The College Entrance Examination (Gaokao) is pivotal in China’s education system, with its Parallel Voluntary System (PVS) representing a significant admission mechanism in this system. However, while improving the flexibility of choices and reducing high-score student rejection risks compared to sequential...

Carbon footprint data has evolved from a marginal corporate social responsibility (CSR) indicator to a core factor in ESG (Environmental, Social, Governance) investment decisions over the past two decades. This paper traces the evolutionary trajectory of carbon footprint data application in ESG investing...

As the urgency to fight against climate change has increased worldwide, the new energy vehicle (NEV) industry has emerged as a leading force to push for energy transition. With carbon neutrality goals being set in many countries globally, ESG (Environmental, Social, and Governance) metrics are slowly...

This study systematically investigates the ESG premium in the global green bond market through bibliometric methods. The results show that the yield discount phenomenon, i.e., “green premium”, is common in green bonds, which is particularly significant in Europe, the United States, and other regions...

As environmental, social, and governance (ESG) investing gains global momentum, ESG ratings have become a key tool for evaluating corporate sustainability. However, growing concerns over “greenwashing”, where firms strategically enhance disclosures to achieve higher ESG scores without substantive improvements,...

ESG (Environmental, Social, and Governance) ratings are widely used by investors to assess firms’ sustainability performance. However, significant discrepancies among ESG rating agencies raise concerns about the reliability and potential misuse of these ratings. This paper examines whether divergence...

With the global “dual carbon” green energy transition, green finance is advocated worldwide. As a core sector of new energy, the photovoltaic industry’s development has also drawn much attention in the capital market. This article systematically studies the impact of the photovoltaic industry on investment...

This paper explores Initial Public Offering (IPO) risk identification from the perspective of investment banking, focusing on the misreporting of R&D expenses among companies listed on the Science and Technology Innovation Board between 2019 and 2024. Firms penalized or rejected due to false Research...

Against the backdrop of growing financial globalization, national economies have become more deeply interconnected. Cross-border capital flows have emerged as a core area of focus for investment banks. While the mechanisms of cross-border capital intermediation have matured to some extent, significant...

The price anchoring distortion effect on restaurant dining choice has been a central topic of behavioral economics research. Empirical evidence proved that specially positioned expensive reference products in menu design will have a substantial impact on willingness to pay for consumers. Nevertheless,...

This study focuses on the research of the gross domestic product (GDP) accounting model, systematically sorts out the accounting framework of GDP, and mainly starts from the expenditure approach to deduce the GDP equilibrium conditions in the two-sector, three-sector and four-sector economic models,...

The shift from department stores to discount platforms, from luxury brands to livestream promotions, indicates that economic uncertainty has reshaped the consumption behavior in East Asia. While prior studies have addressed either macroeconomic trends or consumer psychology, few have explored how structural...

Differences in higher education admission systems are due to differences in national context. Globally, there are two types of systems: merit-based and holistic admissions. Countries such as the UK, South Korea and China tend to place greater emphasis on the score of an exam when making admissions decisions...

With the increasing number of people who own pets in recent years, China’s pet market size has exhibited a growing trend, forming a blue ocean industry with a bright prospect. Based on market data from 2015-2023, this study uses the AutoRegressive Integrated Moving Average (ARIMA) time series model to...

In recent years, due to the implementation of a series of policies by China to attract overseas students to return, more overseas students have chosen to seek employment in their home country. However, during the process of returning to work, overseas students face numerous challenges, such as issues...

The hospital registration system in China is a system that dispense hospital slots ordered based on the patients’ registration time. This mechanism could face a problem of unfairness among patients; patients who have better registration devices tend to have a partial advantage over others and neglect...

In recent years, Uber has become a popular ride-hailing app. With the increasing population and traffic in many advanced cities. Uber has also become a hot topic in society, so there are many successful points worth researching and studying. This study aims to investigate the Uber rating system and find...

Nowadays, people pay more and more attention to concerts. It gradually becomes a form of entertainment and a significant part of consumption especially for young people. It can provide people with a channel for emotional release, especially after the pandemic. Meanwhile, with the development of entertainment...

Food safety issues have increasingly become a focal point of public concern, driving supply chain transparency to the forefront as a core competitive advantage for food companies. As a key regulator and system promoter, the government plays an indispensable role in building transparent supply chains....

This study uses Goldman Sachs, Morgan Stanley as case studies and proposes a dual-dimensional driving model, measuring the substantive depth of localization through the Decision Power Index (DPI) and quantifying structural resilience through the Business Elasticity Coefficient (BEC), while analyzing...

As global demographic ageing intensifies and healthcare demand escalates, the medical-device sector has become a focal point for capital allocation. Valuation of these enterprises, however, remains highly intricate owing to protracted research and development (R&D) horizons, rigorous regulatory oversight,...

Traditional duration gap models can only capture the sensitivity of net worth to interest rate changes but struggle to reflect the dynamic impact of client behavior and liquidity constraints in crisis scenarios. To address the model’s deficiency in characterizing liquidity risk, this study introduces...

This paper explores how green finance promotes industrial upgrading and analyzes its heterogeneity across different regions. The study in this paper shows that green finance drives industrial upgrading through mechanisms such as capital guidance, technological innovation incentives, and risk prevention...

In the field of pharmaceutical cold chain logistics, balancing cost optimization and temperature control assurance is a core issue for the industry. This study focuses on how to minimize drug losses while ensuring precise temperature control throughout the entire process, thereby achieving effective...

The global financial crisis erupted in 2008, and the subprime mortgage crisis quickly engulfed financial markets, triggering profound systemic risks. Bear Stearns, then the fifth-largest investment bank in the United States, ultimately fell into a severe liquidity crisis due to its overreliance on financial...

The new energy vehicle industry is a capital-intensive sector characterized by rapid technological change. These features complicate stock pricing. Power battery development and super factory construction require continuous investment, while intensifying technical competition and declining subsidies...

In the context of the profound evolution of the global situation, the issue of income distribution has become increasingly prominent, and the development process of developing countries has always attracted much attention. The problem of economic inequality seems to be a complex puzzle among them. From...

This paper uses the event study method to examine the market response of stock repurchase announcements on stock prices, taking Heng Rui Medicine and Hong Yuan Pharmaceutical as case studies. The event window (Day -10 to Day +10) is selected to analyze actual returns, excess returns, and cumulative excess...

Stablecoin have become a critical component in the digital financial ecosystem; it is a medium of exchange, a store of value, and a bridge between traditional finance and decentralized finance. However, its stability has been repeatedly challenged in real-world events. This article uses the event study...

With advances in medical technology and scientific knowledge, human life expectancy continues to rise, making the challenge of achieving health aging increasingly prominent. While private medical insurance serves as a vital supplement to public healthcare systems, the role of social networks in shaping...

This paper studies the impact of the Canadian government’s transition from a liberal welfare policy model to a social democratic welfare policy framework on the domestic labor market, paying special attention to the welfare system with high coverage and low conditions implemented during the COVID-19...

As the aging population continues to grow, the issue of caring for disabled elderly individuals has become increasingly pressing, while reforms in China’s elderly care services have also been steadily advancing. This study draws on four survey rounds of data are drawn from four waves (2013–2020) of the...

In recent years, compliance issues have frequently been exposed among multinational enterprises (MNEs) in emerging markets, drawing wide attention to the effectiveness of their internal control and regulatory mechanisms. Especially in the context of accelerating decentralization and “local authorization”...

As the pace of digitalization accelerates, cyber risks such as data breaches, ransomware, and system outages have become significant threats to businesses and society. However, traditional insurance mechanisms provide inadequate coverage against these risks, making cyber insurance an emerging tool for...

Because of global warming, energy shortages, and other issues, new energy vehicles have become the top choice for more and more people when buying a car. As new energy vehicle technology keeps getting better and better, and people start to see the benefits of new energy vehicles, like lower fuel costs,...

In recent years, China’s aging population has become a heavier burden of chronic diseases. China has actively promoted the elderly service system toward a high level of development. The dual pressure of escalating health demand and the mismatch of medical resources has accelerated the change of insurance...

China has entered a deeply aging society, and the high incidence of chronic diseases poses a serious challenge to the health of the elderly group, especially through the burden of care within the family and economic pressure. Based on the data of the China Health and Pension Tracking Survey (CHARLS)...

The insurance industry has long faced efficiency issues caused by information asymmetry, including inaccurate risk assessment, difficulty in identifying fraud, and high operating costs, leading to widespread adverse selection and moral hazard. In recent years, insurance technology (InsurTech), represented...

The characteristics of the demographic dividend include the proportion of the working population aged 15-64 has increased and a decrease in the dependency ratio. This is very beneficial for the economic of developing countries. Using a comparative analysis approach, this article examines the economic...

Recently, stablecoins, as the latest developing form of cryptocurrency, keep their value stable through binding with legal tender or specific assets. According to Coin Market Cap statistics, the total market value of stablecoins has surmounted 150 million US dollars by 2025 and occupied 15%-20% of the...

In the current financial market, the coexistence of stock volatility and the rapid development of the virtual market is evident. Still, research on the behavioral connection between traditional stock and virtual asset investment lacks clarity regarding the internal mechanisms of cross-market behavioral...

This study comprehensively explores the influence of digital economy policies on enterprise digital transformation in diverse global contexts. By analyzing key policy frameworks, including the European Union (EU) Digital Decade and China’s 14th Five-Year Digital Economy Development Strategy, it demonstrates...

The global food supply chain, constructed upon decades of trade liberalization and transportation innovation, is threatened by the revival of agricultural protectionism. This paper aims to investigate how protectionism through instruments such as tariffs, export bans, subsidies, and non-tariff barriers...

Population aging has become an important challenge facing contemporary society in general, and its impact not only involves demographic changes, but also profoundly affects multiple dimensions of economic development, social security, family structure and cultural attitudes. The average life expectancy...

Urbanization has become one of the defining forces shaping the global economy in the twenty-first century. More than half of the world’s population now lives in urban areas, and this trend is projected to accelerate in the coming decade, is this transformation more visible than in China, where the urbanization...

As global innovation competition intensifies, countries around the world have begun to implement innovation subsidy policies to promote national innovation development. While these policies have brought many benefits overall, the current subsidy policies still have many areas that need improvement and...

With the sustained development of the global economy, income distribution gaps have been expanding in synchrony with economic growth. This situation makes income inequality a key factor influencing individual and societal development. This paper examines the mechanisms through which income distribution...

As the global economy is starting to recover, the employment rate is becoming stable, and the unemployment rate is gradually decreasing while some research claims that the new technology such as Artificial Intelligence (AI) is replacing human labour and decreasing the employment rate. Employment rate...

Globalization has transformed the global trade, investment and technology flows in the world. Globalization has affected the economies of developed and developing countries in different kinds of ways. The study attempts to find out whether globalization has decreased or increased inequality between two...

Green bonds have experienced rapid global expansion in recent decade, establishing themselves as a key sustainable finance instrument and are widely viewed as an important means of advancing the Sustainable Development Goals (SDGs). This article systematically analyzes the functions and mechanisms of...

In 2025, the U.S. released a draft of the Guidance and Establishment of a National Stablecoin Innovation Act (hereafter referred to as the “GENIUS Act”), which sets forth clear compliance criteria for payment-oriented stablecoins. Drawing on Coingecko data spanning November 5, 2024, to February 13, 2025,...