bluuebunny/crossref_metadata_2025 huggingface dataset:
Analysis of Phenotypic Factors and Research on Countermeasures of Chinese Secondary School Students' Anxiety in Oral Learning
Authors: Liu Shantong
Published: November 2024

In an environment where English is becoming a second language for most people, studying English has become a major subject for Chinese secondary school students. However, factors such as students' own communication abilities and the external teaching environment contribute to spoken English being a weakness for most learners. This issue is particularly evident and widespread among secondary school students. The purpose of this study is to further explore the triggering factors behind this phenomenon and to uncover teachers' strategies to alleviate Chinese secondary school students speaking anxiety. The study will employ semi-structured interviews with current secondary school students and analyze the data using thematic analysis. The findings aim to demonstrate that Chinese secondary school students' speaking anxiety is influenced by factors such as their personalities and the external environment. Teachers can effectively alleviate students' speaking anxiety by encouraging teaching, diversified teaching modes, and classroom interaction. The study's findings may be effective in alleviating the speaking anxiety of secondary school students and assisting teachers in teaching speaking. The significance of this study lies in identifying the causes of speaking anxiety among Chinese secondary school students and offering strategies to help alleviate this issue. It also provides valuable insights for secondary school English teachers in improving their speaking instruction and reducing anxiety. Furthermore, the study aims to raise awareness within the education community about the prevalence of speaking anxiety among students.
The Psychological Boomerang: Investigating the Mental Health Impacts of Spreading Anti-LGBTQ+ Misinformation and Hate Speech Online
Authors: Lai Man Shu Katie
Published: November 2024

The increasing prevalence of hate speech in digital spaces has become a growing concern, particularly with the advancement of technological tools, with sexual minorities being a primary target of this growing phenomenon. While prior research has primarily focused on the psychological impact of hate speech on victims, the effects on those who spread such hate remain underexplored. This study aims to examine the relationship between actively spreading LGBTQ+-related misinformation and the mental health of message spreaders. To investigate this, Twitter user accounts that used the #superstraight hashtag, a meme popularized in February 2021 to express transphobic sentiments, were analyzed over a three-month period. Sentiment analysis of posts from 421 users, conducted before and after the period of spreading the messages, revealed a negative correlation between the dissemination of misinformation and users mental health. These findings suggest that the dissemination of hate speech is associated with a decline in the mental well-being of individuals who propagate such messages. This research highlights the harm of online hate on all and provides insights into combating hate speech.
The Impact of Chinese Social Media Douyin on Chinese College Students' Consumer Psychology
Authors: Li Yuge
Published: November 2024

This dissertation focuses on the influence of social media Douyin on the psychology of consumption by Chinese college students. It mainly studies the influence of Douyin videos on college students, how the content of Douyin videos has prompted college students' irrational consumption, and how Douyin shopping has changed college students' consumption methods. With the development of social media, college students can gain more knowledge from it. In Douyin, they are attracted by video advertisements and live broadcasts, which encourage them to buy products they don't need. As well as being able to recognize different brands and pursue fashion and trends on the internet. The content of Douyin is changing college students' consumerism, including impulse spending, branding, and irrational spending. Targeted advertisements and personalization in social media, which are accurately pushed to users, stimulate the consumption psychology of college students. Examples include instant gratification and impulse spending, comparison spending, false advertising, and fragmented entertainment shopping.
Modern and Contemporary Architecture in Datong, Shanxi Province - Brief Introduction to Datong Planning Exhibition Hall
Authors: Zhang Yumeng
Published: November 2024

This study focuses on the history and cultural heritage of the Datong Exhibition Hall , a representative building constructed in 1969 during the Cultural Revolution period. Initially established as the "Mao Zedong Thought Forever Memorial Hall," the exterior design of the Datong Exhibition Hall resembles the Great Hall of the People, reflecting the architectural characteristics and achievements of that time. The exhibition hall has undergone multiple transformations, serving as a political exhibition venue, commercial space, cultural exhibition hall, community center, party activity center, and talent employment center. Through chronological narration and diverse research methods, this study meticulously traces its historical evolution, architectural features, cultural heritage, and social impact. The findings highlight its aesthetic value and significant historical importance for studying the history and culture of that period. Furthermore, as a cultural heritage site, the Datong Exhibition Hall bears witness to the social environment and political backdrop of the Cultural Revolution, embodying the historical memory and traditional culture of Datong City. In the future, it will continue to provide cultural experiences for citizens and serve as an important window for researching the architecture and culture of the Cultural Revolution period.
Comparative Analysis of Landscape Greening Development in the Context of Sustainable Development--Taking Shanghai and Nanjing as an Example
Authors: Chen Lihan
Published: November 2024

The cause of urban landscaping and greening is in a stage of development and is being explored in various cities. Most people are gradually realizing and accepting the value of landscaping as a way to maintain and improve the urban ecological environment, as well as to promote social well-being and sustainable economic development, as the idea of sustainable urban development continues to gain traction. Therefore, exploring how to continue to develop landscaping in the context of sustainable development and the significance of planning and development of landscaping has become a topic of urgent concern. This paper will take Shanghai and Nanjing, two cities of similar size and distance, as the basis for a comparative study of the ecological benefits and economic value of landscaping, and analyze and give suggestions for the future development of landscaping in the context of sustainable development. It is found that the ecological and economic benefits of landscaping in the two cities are significantly different under different planning policies. The ecological and economic advantages of Nanjing's landscaping are more noticeable than those of Shanghai, and an analysis of its landscaping practices is important for directing the future development of urban landscaping.
How Does Japanese Cultural Principles Improve Japanese Human-centric Urban Development in Tokyo, Japan?
Authors: Kaya Kensho
Published: November 2024

People grown up in their hometown will get used to the living environment, socio-economic atmosphere, and culture in their childhood, and still miss their hometown when they become adults, which is called topophilia. However, the current circumstances have seemed to be derailing from the bare-bone concept of the original craved-for human-centric designs and planning. In this article, we talk about how Japanese unique cultural principles, including harmony (Wa), order (Kansei), atheistic (Wabi Sabi), resilience, and pursue of excellence, guide Japanese urban environment and their socio-economic atmosphere, and further shape Japanese citizens topophilia for their hometown. These precious Japanese culture principles also encourage Japans urban development towards more and more sustainable and human-centric. This article uses the Tokyo as a case to establish a good image for other cities who wants to achieve the human centric urban development, it is also meaningful in exploring the relationship between human and city in Japan and inspire the governments to construct the city suitable for their citizens.
Cultural Assimilation and Identity Formation of Freedmen in the Roman Provinces: Case Studies from Gaul and Egypt
Authors: Guo Xin
Published: November 2024

This essay discusses the cultural assimilation and identity formation of free people in Roman Gaul and the Egyptian provinces. Through comparative analyses, the article explores how freed people navigated new social roles and developed hybrid identities influenced by Roman, Celtic and Egyptian cultures. In Gaul, the freedmen underwent a mixed process of Romanisation and cultural exchange that resulted in the formation of a Roman-Celtic identity, especially among the elite. In contrast, Egyptian freedmen maintained a strong attachment to their native culture, despite widespread Roman and Hellenistic influences. The critical factors of urbanisation, socio-economic status and legal constraints shaped the distinctive identity trajectories of the freedmen in these provinces, providing insights into the complex interplay between power, identity and cultural integration in the Roman world. Overall, the cultural assimilation and identity formation of freed people in Roman Gaul and the Egyptian provinces highlight the complexity of cultural integration across different regions. By examining these processes, we gain deeper insights into the interplay between power, identity, and cultural adaptation within the Roman Empire.
Analysis of the Economic Model of Influencer Marketing in Social Media: The Case of Douyin
Authors: Jia Qianwen
Published: November 2024

With the rapid growth of social media platforms, the number of influencers has proliferated. Influencers have become a key link between brands and consumers. Through their personal identities or social accounts, influencers use their influence to promote products or services for brands, and this Netflix economy model has been widely used in various industries. This paper aims to explore the specific forms of influencer marketing and analyse its application in different fields, focusing on the positive and negative impacts on brands and consumers. It has been observed that influencers across various sectors have implemented unique marketing strategies that can significantly enhance brand visibility and foster consumer confidence. However, issues such as false promotions and inappropriate personal remarks by influencers may also have negative impacts. In light of these findings, this study advocates for brands to exercise greater discernment in their partner selection and to motivate influencers to uphold authenticity in their promotional activities. The research significance of this paper lies in the fact that through the in-depth analysis of influencer marketing, it provides a reference for brands to optimise their social media marketing strategies, as well as a basis for further research on influencer marketing in different fields.
An Acoustic Analysis on Mono-Syllabic Tones in the Ruian Wu Dialect
Authors: Lin Xiaocao
Published: November 2024

The Ruian dialect, part of the Oujiang branch of Wu Chinese, is situated at the intersection of the Yangtze River Delta and the Pearl River Delta regions. It is generally accepted that this dialect has eight distinct tones. Previous studies primarily employed traditional methods of auditory transcription, leading to discrepancies in tone values and contours, and lacking the necessary precision for an objective tonal system description.This study focuses on the Ruian dialect and conducts an acoustic study on speech samples from three generations of participantselderly, middle-aged, and youngdescribing their tonal patterns. The study concludes that the tonal systems of the elderly and middle-aged participants are generally stable, with the following tonal patterns: Yinping (44), Yangping (331), Yinshang (35), Yangshang (14), Yinqu (51), Yangqu (22), Yinru (323), and Yangru (212). In contrast, the younger generation has seen a change in the Rusheng (), shifting from contour tones to falling tones, where the tone value of Yinru is 32 and Yangru's is 21.
Research on Current Situation and Development of Publicity and Popularization of Modern Stage Drama Based on Social Media Perspective
Authors: Qian Yixuan
Published: November 2024

In the CMG 2022 Spring Festival Gala, the stage poem "Only This Green" left a deep impression on all audiences at home and abroad. The dancers interpreted "Thousands of Miles of Rivers and Mountains" through beautiful postures and movements, which is the only work of Wang Ximeng, a famous painter in the late Northern Song Dynasty. This stage play perfectly combines traditional Chinese art forms and modern stage performing arts culture, which has caused a great response. Therefore, this study discusses how contemporary modern stage plays or musicals can increase traffic under the influence of mainstream media applications and explore whether there is a "link to promote the development of this art form". Different representatives of Chinese classical art are combined with modern stage plays, resulting in linear regression. In addition, the communication data of different applications is gathered together for research to understand whether adding popular IP or "links" can promote the promotion and publicity of modern stage plays and increase traffic exposure.
Communication Mechanism and User Sentiment Analysis of Public Emergencies on Social Media: A Case Study of the Wenzhou Doctor-Patient Dispute on July 19
Authors: Zheng Jiarui
Published: November 2024

This study aims to explore the communication mechanism and user sentiment analysis of public emergencies in social media. Taking the doctor-patient dispute in Wenzhou, China on 7.19 as an example, the study systematically analyses the dissemination path, speed, influence and user sentiment changes of the incident in social media, and through data collection and analysis, the study reveals that the incident Through data collection and analysis, the study reveals the evolution of the incident on social media platforms from the initial release of information, to the buzz of discussion, to the decline of public opinion. The study also adopts a comparative analysis method, comparing the doctor-patient dispute in Wenzhou with the Tangshan man-beating incident, to analyse the differences between the two incidents in terms of speed of dissemination, duration, and users' emotions, and to further explore the characteristics of the dissemination of social emergencies and the influencing factors in the social media. This study provides theoretical support for monitoring and guiding public opinion in social media, and proposes strategies to effectively respond to public opinion crises.
Research on the Advantages of Spreading Excellent Values in the New Media Era: A Case Study of the Web Mini-Series Escape from the British Museum
Authors: Sun Xueyang
Published: November 2024

With the development of the new media era and the continuous maturation of internet technology, many new forms of media have emerged, with short videos arising in this context. Some high-quality short videos, focusing on promoting outstanding traditional values, have become hot topics in contemporary communication. These videos, with distinct characteristics of the times, have become one of the important ways for major media to undergo creative transformation. Therefore, this paper uses Escape from the British Museum as a case study to analyze the advantages of short video media communication on social media platforms in the context of new media, aiming to promote the high-quality development of short video media.
The Impact of Russia-Ukraine Conflict on the Sales of Electric Vehicles in China
Authors: Zhang Zejun
Published: November 2024

The Ukraine conflict has had a unique impact on EV sales growth in China, a key market for EV innovation and adoption. This study explores the correlation between geopolitical tensions and the surge in EV sales in China. Utilizing time series analysis methods, this paper assesses EV sales trends before and during the conflict. Coincidentally, the findings suggest that the conflict is driving growth in EV sales, likely due to a combination of factors, including increased awareness of energy security, a shift to sustainable transportation, and government incentives aimed at supporting the domestic EV industry. Quantitative analysis using an ARIMA model reveals that EV sales experienced an estimated increase of approximately 15% within the first six months following the onset of the conflict compared to pre-conflict projections. This significant uptick underscores how external geopolitical events can catalyze shifts in consumer behavior toward more sustainable alternatives. While sales are growing, the study also points to potential challenges such as supply chain disruptions and rising costs that could impact long-term growth. These challenges highlight the complex interplay between global political events and domestic market trends. The findings advise policymakers and industry players to remain vigilant and proactive to ensure continued growth in Chinas EV industry amidst these evolving dynamics.
Prospects of China's Entertainment Consumption Economy Based on Entertainment APP Data Analysis
Authors: Zhu Mianyi
Published: November 2024

China's entertainment apps have blossomed in many aspects, covering videos, movies, games, music, animation, live broadcasts, etc. Data collected from major entertainment apps might be helpful to outline the preferences and personalities of Chinese entertainment consumption groups, and thus to make a prospect for China's entertainment consumption economy. Based on the analyzed data, it can be seen that while some professional entertainment apps are developing towards the "small and beautiful" vertical track, comprehensive platform apps are undergoing an ambitious expansion of power. It is clear that the multi-dimensional social interaction of active Chinese entertainment people has highlighted people's spiritual needs, and the development of the industry will undoubtedly show the integration of entertainment and technology, entertainment and food/sports, and entertainment and tourism. The entire industrial chain should be layout based on multi-dimensional needs, and the precise output should be supplemented by scientific and technological means.
Resilient Urban Design Concept in the Context of Climate Change
Authors: Li Yilun
Published: November 2024

Climate change has a significant adverse impact on cities, including extreme weather events, rising sea levels, intensified urban heat island effects, ecosystem changes, and ecological imbalances. In this paper, urban design must enhance resilience to climate change in order to meet the needs of the community. Using Singapore and Melbourne as case studies, this paper analyzed their responses to climate challenges and summarized the characteristics of resilient cities. It compared successful factors and proposes methods for emulation and design concepts. Singapore has demonstrated innovative planning in water resource management and mitigation of the urban heat island effect; while Melbourne focuses on experimental research governance and implementation of resilience policies. The significance of this study lied in its exploration of how urban design could improve urban resilience to address the increasingly severe negative impacts of climate change. By analyzing these two resilient cities cases, the paper summarized their successful experiences and characteristics in responding to climate challenges. Through comparing these two response strategies, this paper not only provided valuable references for other cities but also offered targeted design ideas. These research findings were crucial both theoretically and practically for enhancing cities' ability to respond to climate change effectively while achieving sustainable development.
Disaster Types and Resilience Evaluation in Guangzhou
Authors: Tang Yuxuan
Published: November 2024

The impact of natural disasters on urban areas had been profound throughout history, significantly affecting daily life and causing substantial economic losses, thereby impacting economic development. Therefore, was is important to fully understand and predict the types of natural disasters that will occur. At the same time, cities also need to be resilient in order to return to pre-disaster levels as much as possible in all aspects, while minimizing the impact of natural disasters. This paper delved into the various types of natural disasters resulting from climate change, focusing on case studies in Guangzhou. It conducted a comprehensive analysis of the potential impacts and hazards, dissecting the recovery capabilities of different regions in Guangzhou in terms of economic, social, ecological, and infrastructure aspects. This paper found that the resilience of various districts in Guangzhou was significantly different at different levels. The resilience of economy, society and infrastructure in the central urban area was higher than that in the urban fringe area due to the higher economic level, residents' education level and infrastructure perfection. The paper evaluated the effectiveness of various measures that had been taken to cope with natural disasters and identified the strengths and weaknesses of recovery in different regions. Additionally, it proposed strategies for enhancing the resilience of cities in dealing with disasters, particularly in the areas of social, infrastructure, risk assessment, and ecology, aiming to improve Guangzhou's resilience to natural disasters and provide feasible solutions. And this will improve the overall post-disaster resilience of Guangzhou and help achieve better recovery.
Traditional and Innovative Battery Recycling Methods
Authors: Liang Yuehui
Published: November 2024

With the rapid increase in global demand for high-performance batteries, particularly driven by the growth of electric vehicles and large-scale clean energy storage systems, the need for effective battery recycling methods has become more pressing than ever. This paper provides a comprehensive examination of both traditional and innovative methods for battery recycling, which has become increasingly critical due to the growing environmental concerns associated with the disposal of batteries, particularly from electric vehicles and large-scale energy storage systems. The study analyzes three primary recycling methods: mechanical processing, chemical recovery, and direct reuse, detailing their underlying principles, advantages, and limitations. In addition, the paper introduces an innovative recycling approach that integrates bioremediation microorganisms and nanotechnology to enhance the efficiency of metal recovery and minimize environmental impact. This novel method offers a pollution-free, sustainable solution that addresses the inefficiencies and environmental risks associated with traditional recycling techniques. Through a comparative analysis, the study highlights the potential of this innovative approach to revolutionize battery recycling, contributing to more sustainable practices and the circular economy. The findings emphasize the importance of adopting advanced recycling technologies to meet the increasing demand for battery materials while ensuring environmental protection.
Types and Challenges of New Energy Vehicles
Authors: Gao Yihang
Published: November 2024

In the wake of the progressive amelioration of technology, sweeping changes have been brought to modern society. The development and problems of economic and environmental protection have been of concern to many individuals and governments. As a result, the research and invention of new energy vehicles (NEVs) are growing amazingly. This paper has been written to learn more specifics about NEVs. In this paper, there are five sorts of NEVs: Battery Electric Vehicles (BEVs), Plug-in Hybrid Electric Vehicles (PHEVs), Hybrid Electric Vehicles (HEVs), Fuel Cell Electric Vehicles (FCEVs), and Extended-range Electric Vehicles (ER-EVs). Until then, there are four challenges faced by the development of NEVs. The first one is the cost of purchase; the second is the range anxiety; the third is the limited selection; and the last is the charging anxiety. However, the future of new energy vehicles and their market can still be a prospect because many companies are adopting methods to address these problems, such as battery pack and power system distribution, to name just a few, and the percentages of NEV registration are increasing.
Impact of Macroeconomic Conditions on the US-Japanese Yen Exchange Rate
Authors: Zhao Chenguang
Published: November 2024

In 2024, the yen exchange rate is affected by Japan's exit from the eight-year negative interest rate policy and the possible interest rate cut in the United States, which is related to the global economy and financial market volatility. In this context, it is necessary to reassess the mechanisms that influence fluctuations in the US-yen exchange rate. This study examines the fluctuation of the US-yen exchange rate from 2010 to 2024, focusing on significant growth periods between 2012-2016 and 2020-2024, and a stable phase from 2016-2020. Utilizing the ADF test for stationarity, ACF, and PACF analysis for ARIMA parameter determination, data decomposition by using window and decompose function in R studio, the research reveals the influence of macro factors such as "Abenomics", QQE and YCC policies on exchange rate trends. The study finds that monetary policy, especially the differences between the United States and Japan, has a significant impact on exchange rates, with the depreciation of the yen and periods of economic stability attributed to the combined effects of global economic challenges and policy responses. The research provides valuable insights for investors and policymakers, emphasizing the importance of macroeconomic conditions on exchange rates in the context of a constantly changing global economy.
Forecasting Market Activity and Aggregate Demand in China Using Time Series Models
Authors: Pang Bowen
Published: November 2024

The purpose of this study was to forecast market activity and aggregate demand in China using time series models. Forecasts of market activity (MA) and aggregate demand (AD) provide insights into consumer behavior and economic trends, which are crucial for policymakers and businesses alike. In order to forecast the MA and AD in China, this study uses the time series model, especially the exponential smoothing model. Based on the increase rates of M1 and M2 money supply, respectively, and the difference in increase rates between them. These indicators are necessary to assess MA and AD and reflect changes in money liquidity and people's spending behavior. The results suggest that people will be less willing to spend and more inclined to save in the coming years. This finding suggests that MA may decline as consumers become more cautious and prioritize saving over spending. This trend could be attributed to a variety of factors, including economic uncertainty or changes in monetary policy. The implications of this research are significant because it provides a forecasting framework that can help policymakers and businesses anticipate changes in consumer demand and adjust their strategies accordingly. Understanding these trends can lead to more informed decisions in economic planning and financial forecasting.
Analysis of Changes in the Sensitivity of US Housing Prices and Construction Sector GDP to Each Other's Activity under VAR Model
Authors: Jiang Xiaoya
Published: November 2024

This paper examines the evolving degree of mutual influence and sensitivity to fluctuations between FHFA house prices and GDP-Construction across different periods, thereby clarifying the relationship between these two variables. Utilizing a linear autoregressive model, this paper employs the VAR framework to analyze the data, followed by impulse response analysis and error variance decomposition post-prediction. The temporal responses of the data are presented. Upon summarizing our findings, the article observes a positive correlation between FHFA house prices and GDP-Construction that predicts an upward trajectory for FHFA house prices alongside a slight decline in GDP-Construction growth. Both tests indicate that sensitivity to each other's fluctuations has gradually intensified by Q3; While FHFA's influence on GDP-Construction diminished under economic policy regulation, it rebounded once economic conditions stabilized; On the contrary, during periods of economic stability, the impact of GDP construction on FHFA housing prices has increased. To some extent, policy-driven support for housing prices and GDP-Construction activities outweighs macroeconomic influences; Furthermore, economic policies appear to diminish GDP's responsiveness to changes in FHFA house prices. This study enriches the existing analysis on the interaction between housing prices and GDP, provides a foundation for future research, and helps stakeholders in the real estate and construction industries better cope with potential short-term adverse effects of economic policies.
Strategic Suggestions for Banks to Deal with Balance Sheet Risk
Authors: Deng Hei Kiu , Kou Jiayu
Published: November 2024

Silicon Valley banks' collapse resulted from poor investment decisions (mismanagement of assets and liabilities), causing a bank run due to substantial losses. This paper explores the causes of Silicon Valley Bank's failures due to exposure to balance sheet risks. Its failure profoundly affected the balance sheet risk management of small and medium-sized banks in the US and China. We take a Chinese bank (Guiyang Rural Commercial Bank) to analyze its situation and problems guided by the lessons learned from the SVB incident. On this basis, we propose strategic recommendations for dealing with balance sheet risk and the possible future direction for addressing the balance sheet risk of Guiyang Rural Commercial Bank.
Can Green Consumption Be "Learned"? A Study on the Impact of Reference Group Type on Green Consumption Intentions
Authors: Xie Yulin
Published: November 2024

Green consumption represents the fundamental driving force behind the development of an ecologically sustainable society. Consequently, the analysis of green consumption behavior patterns has attracted significant attention from scholars. Nevertheless, there is a paucity of research addressing the impact of reference group type on consumers' intentions to consume in an environmentally responsible way. Building on previous reports, this study presents the concept of individual perceived efficacy and examines distinctions among the impacts of three reference groups on consumers' intentions to consume green products: member, secondary, and aspirational groups. Findings from our experimental analysis demonstrate that the reference group type has a notable effect on consumers' green consumption intentions. Additionally, the green consumption behaviors of different reference groups positively influence consumers' green product consumption intentions by affecting individual perceived efficacy. Moreover, the size of the reference group exerts a moderating influence on the effect of reference group type on green consumption intentions. Specifically, a larger group size exerts a greater positive effect on green consumption intentions. This study advances the theoretical research framework of green consumption and offers insights for manufacturers to refine their marketing strategies for green products. Furthermore, it provides recommendations for environmental organizations and governmental bodies to enhance the promotion of green consumption.
Regional High Debt Risk and Enterprise Innovation
Authors: Zhu Chenge
Published: November 2024

Local governments have a significant impact on business activities and enterprises behavior. This paper selects the data of A-share listed companies and uses panel data regression analysis model to test the mechanism of regional high debt risk inhibiting innovation. The research findings are as follows: First, the expansion of local government debt restricts enterprises' investment in innovation and research and inhibits their innovation ability by improving corporate financing constraints, reducing government subsidies and tax incentives. Excessive local debt may lead to lower credit ratings, higher interest rates, limited financing channels, and thus crowding out corporate financing. In this case, enterprises may be forced to reduce R&D-related investment. As a result, local government debt inhibits firms' ability to innovate through financing constraints..Second, the mixed ownership reform and strategic differentiation can help enterprises to reverse their disadvantages and increase innovation and R&D investment. Mixed reform can reduce the policy burden of enterprises and reduce government intervention so that enterprises can focus more on innovation activities. Strategic differentiation leads to continuous learning and improvement process, and it will stimulate the innovation vitality of enterprises and achieve the growth of innovation performance.
Transnational Comparison of Corporate Social Responsibility
Authors: Tao Qianling
Published: November 2024

Corporate Social Responsibility (CSR) encompasses the obligations that businesses have towards consumers, communities, and the environment, in addition to generating profits and meeting legal obligations to shareholders and employees. The appropriate use of it can improve the reputation of a company and the value of its brand, making it a perfect environment for thorough and precise research. This paper utilizes a literature review methodology to examine the substance of CSR policies implemented by multinational firms. The study uncovers worldwide patterns, trends, and exemplary instances of CSR practices, offering direction and insights for future research and advocating for improved CSR practices. Moreover, it facilitates individuals in comprehending the variations across nations and the impact of cultural factors, so boosting their understanding of how corporate social responsibility (CSR) ideas and actions are developed in diverse countries. Moreover, it facilitates the formulation of policies and regulations, so enhancing compliance with corporate social responsibility (CSR) and transparency, and fostering sustainable growth.
A Literature Review on the Theory of Asymmetric Information
Authors: Zhang Junyu
Published: November 2024

Asymmetric information refers to a situation in which one of the parties involved in a market transaction has more information than the other, which reduces efficiency in resource allocation. The basic reasons are the high cost of information acquisition, blocked information transmission channels, and lack of enough information disclosure. Problems such as adverse selection and moral hazard created by asymmetric information damage the efficiency of the market. Asymmetric information has played a very important role in lending, hotel, and catering. As for the industry of lending, the existence of asymmetric information between borrowers and lenders would make it easy for high-risk borrowers to obtain loans and, further, increase the risk of default. Asymmetric information within the hotel industry makes it hard for consumers to judge the hotels service quality and price rationality. Asymmetric information affects investment decisions and enterprise efficiency in the catering industry, distorting valuation and causing investment loss. Addressing asymmetric information in various industries is crucial for fostering market transparency and efficiency. To achieve this, researchers must employ both signaling and screening models to mitigate the adverse effects of information asymmetry. This paper examines historical literature on asymmetric information across diverse industries and delineates strategies to enhance information transparency and promote more informed decision-making.
Study on the Indirect Effect Mechanism of Supply Chain Governance on Firm Performance
Authors: Yuan Junyi
Published: November 2024

This paper constructs a theoretical model on the influence mechanism of supply chain governance on firm performance, with information sharing, supplier trust and supply chain integration as intermediary variables and government support as moderating variables. Taking enterprises in Sichuan Province as the investigation objects, this paper empirically studies the relationships among supply chain governance, information sharing, supplier trust, supply chain integration, firm performance, and government support by means of questionnaire survey. The results show that supply chain governance has significant positive effects on information sharing, supplier trust, supply chain integration and firm performance. Government support plays a positive moderate role between supply chain governance and supply chain integration. Supply chain governance will indirectly affect enterprise performance through information sharing, supplier trust and supply chain integration, and the indirect effect is stronger than the direct effect. This indicates that enterprises should standardize supply chain governance, share information efficiently with partners, form a good trust relationship with suppliers, and promote a series of supply chain integration, so as to improve the overall performance of enterprises.
The Relationship Between Board Gender Diversity and Real Earnings Management in U.S. Companies
Authors: Song Yanlin
Published: November 2024

In the realm of corporate finance, real earnings management (REM) is crucial for maintaining the transparency and integrity of financial reporting. Unlike accrual-based management, REM involves strategic decisions impacting cash flow and operations, drawing significant attention after the Enron scandal and the Sarbanes-Oxley Act. Recently, the importance of board gender diversity in corporate governance has been increasingly recognized. This study explores the relationship between board gender diversity and REM in U.S. public companies from 2021 to 2023. Using data from BoardEx and Compustat, and employing regression analysis, the research examines how gender diversity influences REM, controlling for variables such as company size and industry type. The findings reveal a significant negative correlation between board gender diversity and REM, indicating that more diverse boards tend to adopt transparent and responsible financial reporting strategies. This study underscores the importance of promoting gender diversity in corporate leadership to enhance ethical and transparent financial reporting, providing valuable insights for corporate governance, policymaking, and business practices.
The Impact of Financial Crises on IPO Underpricing in the Chinese Stock Market: A Comparative Analysis of the 2008 Financial Crisis and the COVID-19 Pandemic
Authors: Wei Xiaohan
Published: November 2024

The capacity of enterprises to access finance is intrinsically linked to their long-term sustainability. The efficient allocation of financial resources across society increases the utilization of social assets. Initial public offerings (IPOs) represent a highly effective mechanism for generating capital to support the growth and development of firms. The paper thus examines the impact of financial crises, specifically the 2008 financial crisis and the Covid-19 pandemic, on IPO pricing in the Chinese stock market. In this paper, pre-crisis and post-crisis IPO data are analyzed to identify trends and changes in underpricing. Statistical methods are used to examine the relationship between market conditions, economic indicators and IPO characteristics. The results show that IPO underpricing decreased significantly after the 2008 financial crisis due to increased market caution and regulatory changes, while the COVID-19 pandemic led to an increase in market uncertainty and volatility, which led to an increase in underpricing. These insights are significant for investors, companies planning initial public offerings, and policymakers aiming to stabilize financial markets during economic downturns.
Application of GARCH Model in the Field of Finance
Authors: Chen Yufan
Published: November 2024

This paper reviews the fundamental principles, mathematical formulation, advantages, and disadvantages of the GARCH model and its extensive applications in finance. Initially, this paper introduces the mathematical structure and fundamental properties of the GARCH model and analyzes the advantages and disadvantages of the model in practical applications. Furthermore, this paper applies the GARCH model in financial market forecasting, risk management, and asset pricing, illustrating these through specific cases. In particular, the GARCH model is employed to forecast the volatility of the electricity and stock markets, demonstrating its efficacy in handling high volatility and time series data. In risk management, the GARCH model assists investors in assessing potential losses and formulating risk management strategies by predicting future volatility. Additionally, the GARCH model and its variants enhance the precision of asset pricing by considering the skewness and kurtosis of the stock market. Furthermore, the current research frontiers and future development trends are also discussed. Research indicates that future enhancements to the GARCH model will primarily concentrate on capturing nonlinear market characteristics, developing multivariate GARCH models, and incorporating long memory characteristics into the model. As blockchain technology develops and cryptocurrency markets expand, it is anticipated that the GARCH model will become increasingly prevalent in these emerging markets. The integration of machine learning and artificial intelligence will further enhance the precision and reliability of the GARCH model, providing more accurate and robust tools for financial market analysis and forecasting.
The Impact of Investor Sentiment on Stock Returns of Different Industries in China
Authors: Xie Jiaqi
Published: November 2024

This paper selects the stock data of different industries in China's stock market. It conducts benchmark and heterogeneity regression analyses using the CICSI investor sentiment index and each sector's weighted average monthly excess returns, with the monthly GDP growth rate as a control variable. The results show that investor sentiment significantly impacts the stock returns in China. The impact on the manufacturing industry, scientific research and technical services, and health and social work is the greatest for different industries. Meanwhile, the impact on public administration, social security, and social organization industries is also much more significant. Based on the results, this paper suggests that in asset pricing and investment decision-making, the impact of investor sentiment should be considered appropriately according to the differences between different industries. At the same time, investors should integrate sentiment analysis into their investment strategies, primarily when investing in sectors highly sensitive to investor sentiment, and diversify their portfolios based on the sensitivity of industries to investor sentiment to manage risk.
Research on the Privacy Risks Associated with ChatGPT and Its Business Enablement Strategies in the Chinese Context
Authors: Liu Kun
Published: November 2024

This study centers on the privacy risks and business enabling strategies of ChatGPT within the commercial landscape. Against the backdrop of the rapid advancements in artificial intelligence technologies, particularly the remarkable performance of large language models such as ChatGPT in natural language processing, this paper delves into the privacy challenges inherent in its widespread adoption. Through a questionnaire survey, the research analyzes the perception of privacy risks among diverse user groups (e.g., gender, educational background) and examines the factors influencing these perceptions, further exploring how these factors shape the formulation of business strategies. The findings reveal that factors such as gender and educational background significantly impact users' concerns regarding privacy breaches. Based on these insights, the study proposes differentiated and customized marketing recommendations for the commercial application of ChatGPT. This paper aims to offer strategic guidance for achieving a balance between technological innovation and privacy protection, while also presenting practical suggestions for the future development of AI technologies.
An Overview of Regevs Quantum Factoring Algorithm and Its Recent Developments
Authors: Chen Rick Lan
Published: November 2024

Factoring large integers has long been a computationally difficult problem in classical computing, forming the foundation of widely used encryption methods like RSA. In 1994, Shors quantum algorithm introduced a revolutionary method for factoring integers exponentially faster than classical algorithms, laying the groundwork for quantum cryptography. Despite numerous attempts to enhance Shors algorithm over the last three decades, significant breakthroughs remained elusive until Regevs discovery in 2023. Regev introduced a novel, multi-dimensional version of the quantum factoring algorithm, achieving a substantial improvement by reducing the required number of quantum gates to O(n^2 lo gn ), compared to Shors originalO(n^2 lo gn ) gate complexity. Although Regevs approach offers a significant speedup, it comes with increased qubit requirements and relies on an unproven number theory assumption. This paper presents an overview of Regevs factoring algorithm, including a review of Shors work for context, followed by an examination of key recent developments and follow-up research. These include efforts to reduce the qubit count, improve error resilience, generalize Regevs algorithm to related problems, and validate the number theory assumption. This review serves as an accessible entry point for researchers interested in the rapidly evolving field of quantum computing and factoring algorithms.
Research Status of Vehicle Trajectory Planning
Authors: Wang Du
Published: November 2024

As autonomous driving technology has advanced, it has drawn attention from all around the world. The implementation of autonomous driving technology has the potential to enhance traffic safety, minimize traffic accidents, boost efficiency, facilitate travel, conserve energy, and lower emissions. Autonomous driving technology includes environmental perception, path planning, behavioral decision-making and other technologies. Among them, trajectory planning and control technology is the key technology to realize autonomous driving of automobiles and is the concrete embodiment of automobile intelligence. Graph search algorithms, numerical optimization algorithms, curve fitting algorithms, artificial potential field algorithms, random sampling algorithms, etc. are currently in widespread usage in the field of autonomous driving research. This article will introduce vehicle trajectory planning based on these commonly used algorithms. The necessity of autonomous driving technology research is not only reflected in technological progress, but also covers social security, economic benefits, environmental protection, travel convenience and global competition. By studying autonomous driving technology, humans can better cope with the current challenges of traffic and environment, and at the same time provide strong support for future intelligent transportation and urban planning.