bluuebunny/crossref_metadata_2025 huggingface dataset:
Analysis of Nikes Brand Marketing Strategy
Authors: Gan Jinlin
Published: November 2023

Marketing can be very profitable for a company and the success of well-known companies is often accompanied by a successful marketing strategy. Bill Bowerman and Phil Knight founded the largest sportswear firm in the world, Nike, under the name Blue Ribbon Sports in 1964. The company changed its name to Nike in 1971, and as the industry leader, it ascended to become one of the top sports brands in the world, with revenues far exceeding those of its competitors and a market share of 38.23% of the entire industry, and is widely recognised in the sports industry for its strong marketing capabilities. It has positioned itself as an active brand with people's aspirations, comfort and national values in mind and has achieved great success worldwide. In this paper, authors will use Nike as case study and conduct an in-depth analysis of the marketing strategies used by Nike personalised customization, content marketing, social media, and hungry marketing. Combined with a comprehensive analysis of relevant literature and market data, consumer demand for unique, bespoke, personalised experiences can be met by personalisation, increasing customer loyalty and generating more business for the company. Content marketing builds consumer awareness and loyalty through the creation of engaging content and effectively communicates brand image and values. The rise of social media has provided consumers with an avenue to identify product needs and reference the buying behaviour of others, while helping to build brand awareness and positive emotional communication. Hunger marketing creates higher brand value and consumer demand through scarcity and limited sales strategies, further enhancing Nikes uniqueness and price premium. The author also uses the current emerging sports brands lululemon and lining as references and uses the successful development strategies of these two brands to provide effective marketing suggestions for Nike.
Review and Outlook on Brand Co-Branded IP
Authors: Dong Xuanqi
Published: November 2023

With the development of the industry, brands have experienced a lack of innovation and Homogeneity while the Internet has placed higher demands on them. Therefore, brand co-branding IP as a powerful marketing strategy has become a hot topic of discussion among Chinese and foreign scholars in recent years. This paper presents a review of representative literature on different areas of brand co-branding IP at home and abroad, focusing on the concept of IP and its marketing effects, so as to further sort out the positive and negative effects of brand co-branding IP on consumer behaviour from the perspective of consumers, and then analyse the relevant internal mechanisms of consumer purchasing behaviour, providing reference and ideas for future scholars to study the concept of brand co-branding IP. According to the results of this review, brand co-branding IP is a double-edged sword for brands. A good co-branding can increase customer loyalty and have a positive impact on the brand. At the same time, however, it can also lead to irrational shopping behaviour or negative emotional connections. Therefore, this paper suggests that future scholars could more clearly unify the concept of IP and investigate more long-term and effective forms of brand co-branding IP.
Evaluation of Performance for LSTM-based Minimal Variation Optimized Portfolios
Authors: Wu Yujin
Published: November 2023

The paper focuses on evaluate the effectiveness of the combined method of LSTM models and minimal variation optimized portfolio in achieving promising return. Daily adjusted closed prices of 21 stocks in American market are collected. Two distinct portfolios are then created and optimized based on their according optimal portfolio weights obtained from forecasting results of LSTM models and minimal variation optimization. The 21-day portfolio return can then be calculated based on the real-world returns of these stocks. Portfolio 1 achieves a 21-day return of 4.3%, and portfolio 2 achieves 0.8%. Returns of both portfolios are significantly higher than the S&P500 index return of the same time period, which is around -4.8%. It is safe to conclude that LSTM enhanced minimal variation optimized portfolios are effective in reaching promising returns even when the market is not optimistic. By adopting and modifying the method, investors can expect to gain considerable returns in the stock market even in the time period when the general market is not optimistic. The research also serves as a replicable example of steps to optimized investing portfolios.
Analyzing and Forecasting the Exchange Rate of USD/CNY
Authors: Yan Yilin
Published: November 2023

In this study, based on the characteristics of the ARIMA models and ETS models, respectively, that the former focuses more on autocorrelation between data, while the latter focuses more on trends and seasonality of data sets. These two forms of models are used to forecast the USD/CNY exchange rate. This study used the monthly average USD/CNY exchange rate from January 2010 to June 2023, which taken from the website of the China Foreign Exchange Trade System (CFETS) , which data is provided by People's Bank of China, and used computer software to forecast and test the results using each model. Ultimately, it was found that the forecasts using the Autoregressive Integrated Moving Average (ARIMA) and Exponential Smoothing (ETS) models, were close to each other, with both showing a flattening trend over the long term. In the short term, ETS(M, Ad, N) forecasts an upward trend in the USD/CNY exchange rate while ARIMA(0,1,2) forecasts an almost flat trend. ARIMA (0,1,2) forecasts that the USD/CNY exchange rate shown the shape that finally stabilized at around 6.85, while ETS (M, Ad, N) forecasts around 7.6, and comparatively ARIMA model gives more reliable forecasts on the test set, and fit the training set better. This study compares the accuracy of the ETS model and the ARIMA model in fitting and subsequently forecasting the USD/CNY exchange rate for the period 2010-2023. Future research could build on this by discussing the impact of particular specific events and policies on the forecasts at this stage and experimenting with optimization.
Stock Price Forecasting and Analysis Algorithm Based on ARIMA Taking Shanghai Stock Exchange 50 Index as an Example
Authors: Zhou Yuxin
Published: November 2023

China's capital market has been expanding quickly in recent years, and the stock market in particular has drawn a significant quantity of cash. Additionally, the stock price has come under increasing scrutiny as a key metric for assessing the economic strength and degree of development of listed companies. The Shanghai Stock Exchange 50 (SSE50) index, as an indicator that comprehensively reflects the stock market's movement, is conducive to market participants' analysis of the market. Therefore, this paper selects the daily closing price of the SSE50 index from June 21, 2018 to June 21, 2023 as the research data, and uses the R Studio as the software to implement it, and first conducts the stationary test and the white noise test on the data, and finally selects ARIMA(0,1,0) as the model to forecast and analyze the future development of the SSE50 index, in order to provide investment indicators for investors and a reliable basis for corporate policy decision makers.
Research on the Marketing Strategy of POP MART in China under the New Media Environment
Authors: Yu Xinyu
Published: November 2023

As the demand for spiritual consumption continues to rise and more and more young people seek after pop toys, the size of Chinas pop toy market is constantly expanding. POP MART currently accounts for the largest proportion of Chinas pop toy market. By studying the marketing strategy of POP MART in a new media environment, this paper aims to understand the development status of the pop toy market in China. At the same time, the development of new media in China is becoming more mature. Few scholars have analyzed the marketing strategies of the pop toy market from a new media perspective. This paper first uses the 4P model to understand the business model and market positioning of POP MART. Then analyzes the marketing strategy of POP MART in the new media environment and the characteristics and behaviors of consumers in using new media, and analyzes the current problems and future development opportunities of POP MART by SWOT analysis. Finally, relevant advice and countermeasures will be provided to help POP MART expand its market and increase customer loyalty.
Analysis of Nike's Marketing Strategy Based on Adolescent Consumer Psychology
Authors: Guo Shuai
Published: November 2023

With the advent of the era of big data, social media platforms have led to tremendous changes in the consumption environment and habits of young consumers, and the marketing methods of enterprises have also been completely subverted. Among many sporting goods brand companies, Nike, as a leading company, has made full use of the rapidly developing information technology and implemented new marketing strategies through social media platforms such as Twitter and Facebook to further strengthen its competitive advantage in the field of sporting goods. This paper uses the literature analysis method as the main research method, and combines the actual cases in the history of Nike to analyze and discuss the marketing strategy of Nike in the young consumer market. Through the analysis of psychological needs such as the satisfaction of personalization and self-expression, the construction of social status, the strengthening of brand loyalty, and the pursuit of trends and fashion, emphasis on product quality and performance, and exploration of personal identity and escapism, the author can better understand the needs and mentality of young consumers, so as to formulate effective marketing strategies and enhance Nike's competitiveness in the young consumer market. It is now concluded that advocating social justice causes, promoting environmental sustainability and emphasizing innovation, supporting young peoples creative exploration, etc., can improve Nikes marketing strategy, better meet the needs of young consumers, and build deeper relationships with them, ensuring Nikes long-term success in a highly competitive market.
Market Analysis of Fast Fashion Brands in the Context of New Retailing: The Case of Zara (China)
Authors: Chen Xiangru
Published: November 2023

The fast fashion industry is gradually recovering from the epidemics impact, while new retailing will become a new opportunity for fast fashion brands. As a leading fast fashion brand, Zara has a distinctive industrial character. This paper summarizes the current situation of Zara in the Chinese market from the data by using case study analysis, further analyse its strengths and problems, and gives solutions accordingly. It is found that Zaras hungry marketing, convenient address, and match sales have been effective, but it has also encountered many problems, for example, copyright disputes, non-durable products, environmental damage, timeliness and locality of fashion, and low marketing investment. For these issues, the article suggests piloting pop-ups, co-branding or purchasing copyrights, strengthening regulation and environmental protection, localizing products through delegation and co-creation, and providing a personalized shopping experience. If these approaches prove viable, they could be a significant reference for fast fashion brands in China.
Analysis of Didi Dache and Kuaidi Dache Merger: Operational Strategies, Motivation, and SWOT Analysis
Authors: Rong Tingjun
Published: November 2023

In recent years, the scale and number of mergers and acquisitions (M&A) between companies have been steadily increasing, with M&A becoming the primary choice for expanding their businesses. However, M&A between internet companies often involves many uncertainties. This paper first analyzes the operational strategies and merger motivations of Didi Chuxing and Kuaidi Dache (now DiDi and Dida respectively), and then applies the SWOT analysis method to analyze the strengths, weaknesses, opportunities, and threats of this merger event. Finally, the paper summarizes the pros and cons of this merger event and provides recommendations. The research findings of this paper indicate that the merger motivations of this merger event mainly include reducing market competition pressure, achieving resource integration while expanding market share, and seeking more development opportunities. The SWOT analysis shows that the strengths lie in resource integration and internationalization, the weaknesses involve strategic risks, the opportunities can be harnessed through synergy effects, and the threats involve potential negative impacts of monopolies on the market. By formulating the correct strategic theories, enhancing core competitiveness, and effectively utilizing synergy effects, the success rate of corporate mergers and acquisitions can be improved, providing feasible ideas for M&A in China's ride-hailing industry.
Analysis of Strategies for the Development of Cross Border E-commerce, Taking Amazon as an Example
Authors: Zhang Yi
Published: November 2023

Business platforms have now become an indispensable tool in people's lives. Amazon, a household name in e-commerce, has achieved success in markets all over the world, except in China. This paper finds that the main reasons for Amazon China's failure are the intense competition from local e-commerce giants and the cultural and consumer behavioural differences between Chinese and foreign consumers. For Amazon China, Alibaba, Pinduoduo are very challenging competitors. The cultural differences between Chinese and foreign consumers are reflected in the fact that Chinese consumers find it difficult to accept the e-commerce platform's fee-based and slow delivery service, and are unable to use Alipay and WeChat as payment tools. Moreover, the user pages of the Amazon shopping software do not match the aesthetics of Chinese consumers. In addition, the paper makes recommendations on how cross-border e-commerce business in China can be improved and adapted to the Chinese market to address these factors.
Analysis and Prediction of the Trend of Chinese and American Stock Market Indexes Based on ARIMA Model
Authors: Jiang Zheng
Published: November 2023

The comparison and analysis of Chinese and American stock market indexes are important in the context of global financial markets. As the global economy becomes more interconnected, the trend of stock market indexes in China and the US has important implications for global investors and policymakers. Through in-depth study of the trend, influencing factors and forecasts of the Chinese and American stock market indexes, we can better provide decision support for international investment and risk management. This study adopts ARIMA model as the main analysis tool to fit and forecast the historical data of important indexes of Chinese and American stock markets. Additionally, this study discusses the factors affecting the Chinese and American stock market indexes, so as to better explain the volatility and periodicity of the stock market. The results of the study show that the predictions of the ARIMA model are close to the actual data, which has important implications for investors, financial analysts and policymakers. This study is significant for understanding the trend of Chinese and American stock market indexes and their influencing factors, and provides valuable information for investors, analysts and policymakers to help them formulate effective investment strategies and evaluate portfolio performance.
Research on Financial Attributes and Risks of Virtual Goods
Authors: Han Haomin
Published: November 2023

Virtual items are very popular nowadays, this article will study the skin of Counter Strike-Global Offensive (CS:GO) with an unbiased perspective and official data. A lot of the data comes from the numbers Valve cooperation (VALVE) publishes. In addition, the soaring price of the CS:GO skin market in recent years has already diffraction some of the conclusions, and this article will prove the conjecture about the infinite financial value of virtual goods is correct. Furthermore, CS:GO skin is not subject to the constraints and regulations of the market rules, and the attributes of other virtual items are consistent, and in many ways can be found similarities. Through the official data, the research results are obtained: CS:GO skin profit space is large, but there are unpredictable risks. The article will reflect the financial properties of the entire virtual goods market through the CS:GO skin. This article does not give any advice on financial transactions and accepts no responsibility for any losses.
Forecasting Sector Rotation of A-share Market Using LSTM and Random Forest
Authors: Yin Liwen
Published: November 2023

To improve the efficacy of stock prediction strategies, researching sector rotation is essential. This study addresses the sector rotation problem in the A-share market and proposes an approach that leverages LSTM and random forest models to forecast sector rotation trends. Extensive evaluations are conducted to assess the models' prediction accuracy, comparing different evaluation indicators. The random search algorithm is employed to optimize model parameters, while the adaptive learning rate Adam algorithm is utilized to enhance convergence performance. The final experimental results demonstrate the remarkable accuracy of the LSTM model, achieving an impressive 88% accuracy in predicting sector rotation in the A-share market. Meanwhile, the random forest model achieves an accuracy of 86%. Furthermore, a combination of the bagging algorithm based on LSTM and random forest (LSTM-RF Bagging model) is employed for in-depth research, which exhibits even better performance with an accuracy of approximately 89%. The predictability of A-share market sector rotation is evident, and both LSTM and random forest models, along with new combination, prove to be suitable for forecasting. The findings in this paper serve as a valuable reference for investors, aiding them in making informed decisions regarding sector selection and asset allocation.
Persistent Performance of Alpha in Evaluating and Predicting the Returns of Chinese Stock Mutual Funds
Authors: Tang Yinghao
Published: November 2023

Alpha has been examined to be a significant performance indicator for mutual funds. It was developed in 1968 by Jensen and was widely applied as a measure in the evaluation of mutual funds managers. It quantitatively show the gap between the model-based expected returns and the actual fund returns. In my research, I wonder whether the persistence of alpha for different portfolios exist. I apply three mutual fund performance evaluation models in this paper and calculate the alpha of mutual funds under each model. Then I rank the alpha of each fund and group them into four portfolios. I keep tracking the alpha and performance of each portfolio from January 2008 to July 2020, and find that the portfolio with the highest historical alpha keeps beating the other three portfolios while having the highest alpha. Although there are still some parts of the experiment that could be improved, the empirical results of my research show that the alpha seems to be a persistent indicator of the performance of Chinese mutual funds.
Analysis and Prediction of Poverty Rate along with Other Economic Factors in the United States
Authors: Xiaodong Zhao, , Tao Vivian
Published: November 2023

Poverty is an everlasting issue that affects everyone on the globe, and it is of crucial importance to lift people out of poverty. It is part of the UN SDGs and a macroeconomic goal of most countries. Thus, it is important to understand patterns and make predictions of poverty rate. In this paper, data from the US Census Bureau and The Balance are used to form timeseries analysis. In addition to poverty rate alone, unemployment rate and inflation rate are used to generate dynamic regression model for more complete and accurate predictions. The result of modeling and prediction shows that poverty rate in the United States will most likely increase in the following years to around 15 to 16 precent and then gradually decrease. It is also likely that it will fluctuate around 12%. Overall, the result is a sign that potential measures should be taken to mitigate the possible effects of a predicted increasing poverty rate.
Analysis of Microsofts Motivation to Acquire Activision Blizzard
Authors: Zhang Xiaotian
Published: November 2023

The news of Microsoft spending huge amount of money doing acquisition of Activision Blizzard shocked many game players. It was questioned by people. Why did Microsoft choose to acquire Blizzard under the condition that Blizzard seemed going downhill with its management and was stuggled with its employee sexual harrasement scandal? Why is Blizzard still worth so much value for Microsoft? What can Blizzard bring to Microsoft and what are the risks? Is the real purpose of such a big action by Microsoft just to expand its gaming business? Is the metaverse mentioned in Microsoft's announcement the real mission? This article is going to use the SWOT analysis to fully analyze Blizzard's own strengths and weaknesses, and to discover what kind of opportunities and threats it can bring to Microsoft in the industry it is in, to explore the things behind the game itself, but the key to open the door of the possibility and the success of a new area.
The Trigger and Application of Black Swan Events: A Case Study of Silicon Valley Bank Failures
Authors: Qi Yue
Published: November 2023

On March 10, 2023, Federal regulators shut down Silicon Valley Bank, the 16th-largest bank in the country. As a result of the significant run, the bank was forced to file for bankruptcy. The purpose of this paper is to analyze the borrowing and triggering factors of black swan events by taking the Silicon Valley Bank bankruptcy event as an example, and to discuss the revelations and reflections of black swan events from the perspective of risk management based on the definition and characteristics of black swan events. Black swan events are those rare, unpredictable events with great impact, while bank bankruptcy events imply significant changes in the stability of the financial system. The failure of Silicon Valley Bank exposed the vulnerability of the banking sector and raised depositors' concerns about bank withdrawals and the cash flow crisis of global technology companies. Thus, the failure of Silicon Valley Bank has important lessons for future bank management and regulation. This paper argues that for most people, the failure of Silicon Valley Bank was not a black swan event, but even for many professionals, the impact of bank failures is unpredictable.
Exploring the Product of Campus Service-based Sharing Economy - A Case Study of Shared Laundry Services at Jiangsu University of Science and Technology
Authors: He Yifu
Published: November 2023

As an emerging economic model, sharing economy has been widely used and promoted on campus, such as library book sharing, database resource sharing, MOOC platform, shared bicycles and shared laundry. The campus service-based sharing economy aims to enhance efficiency and convenience within the campus by sharing resources and services. Taking the shared laundry service of Jiangsu University of Science and Technology as an example, this paper discusses the product of campus service-based sharing economy, and analyzes its impact on campus environment and student life. The study found that shared laundry services reduce the burden on students' lives and promote the efficient use of campus resources by providing convenient and economical laundry solutions. However, the service also has some shortcomings in the implementation process, such as equipment problems and health problems. In view of these problems, this paper puts forward some solutions and looks forward to the development of a campus service-oriented sharing economy in the future.
Analyzing the Effectiveness of Xiaohongshu on Consumers Purchase Intentions
Authors: Kang Xuechen
Published: November 2023

With the development of technology and social software for live streaming, slow live streaming is gradually becoming popular in the small red book. Slow live streaming is viral among customers in terms of customer value, convenience, and communication and dramatically increases consumers willingness to buy. Thus, the purpose of this study was to explore why slow live streaming is becoming more popular and influencing the desire of customers to buy. This article took the Xiaohongshus slow live streaming as a case study to analyze the data using the Marketing mix theory of 4Cs to analysis. Firstly, the reason is consumer value. To keep this strategy, Xiaohongshu can launch gifts, expand the labels and target groups, and use advertising and invite celebrity testimonials. Secondly, the reason is convenience. To develop this strategy more, Xiaohongshu can set up a backend warehouse to ensure that the goods are stored. Third, the reason is communication. To keep this strategy, interactive activities can be added to the live stream. This article reinforced the marketing mix theory to analysis the extension of the marketing mix of 4C theory and identified the strengths and areas for future improvement for Xiaohongshus slow live-streaming approach.
Stock Market Returns under the Influence of Monetary Policy in the United State
Authors: Cao Hanqing
Published: November 2023

In response to the phenomenon of overheated inflation after the Covid-19 pandemic, the Federal Reserve began to continuously carry out substantial interest rate increases, which has also caused financial markets to suffer heavy losses for a time. Consequently, the emphasis of this study lies in how monetary policy such as the effective federal funds rate and quantitative easing affect the monthly return of S&P 500 index. This paper collects monthly data between July 2004 and June 2023. This paper finds that the impact of effective federal funds rate on the stock market returns is insignificant. The fourth round of quantitative easing significantly affected the stock market returns, that with the quantitative easing the stock market rerurns increase by 2.786 percent. The inflation has a significant and consistent influence on stock market returns, which decreases by 0.4% for every 1% increase in the CPI index. Therefore, the volume of quantitative easing and the pace of asset purchases significantly affect stock market returns.
Analysis of Selected Risks in the Futures and Options Markets and Their Management Strategies
Authors: Zhang Zheyuan
Published: November 2023

The 2008 global financial crisis had profound impacts on the worlds financial system. Countries around the world intensified their regulation of financial markets, especially the derivatives market. This paper explores some financial risks, non-financial risks and risk management strategies in the futures and options markets through literature analysis, aiming to help market participants manage and reduce potential losses. These risks include liquidity, credit, market, operational, model, and Herstatt risks. This paper finds that although there are many risks in the futures and options markets, investors can still pursue profits and manage these risks effectively at the same time by applying some appropriate risk management strategies, such as hedging, using appropriate models, and utilizing real-time settlement systems. These strategies are significant for improving market stability and investor protection. Additionally, this paper emphasizes the importance of providing education for market participants and global regulatory cooperation to further maintain market integrity.
Application of Word Frequency Analysis in Stock Price Prediction
Authors: Mo Fan
Published: November 2023

The improvement of hardware performance and the rapid development of AI technology have brought the possibility of using machine learning and big data models to predict markets and stocks. However, some models that only consider past trend and data of a stock has met some limit when facing real-time events which may cause market sentiment fluctuations. This paper introduced a model, trying to take real-time news as a factor to predict the stock price of a stock. It uses keyword extraction and word frequency analysis to obtain the sentiment from the news, which innovatively match the sentiment of words with the rate of return of a specific stock and its frequency. And the model combines it with past stock data to predict the stock price. The result shows that for some emerging industry that are sensitive with the news, such as the Internet industry and electronic based company, the accuracy of the model that considering news has improved. For traditional industries, the accuracy improvement of this model is not obvious.
The Effect of Education on Monthly Wage in Indonesia
Authors: Wu Jiaqi
Published: November 2023

In this paper, an Ordinary Least Squares (OLS) regression model is used to analyze the effect of education on monthly wages in Indonesia. It emphasizes both the primary factorsyears of education and monthly wagesas well as side factors, such as the year of birth, the children population in 1971, average education among the old, and the urban birth population. The study starts by giving an explanation of the chosen factors and establishing the theoretical justification for their potential impact on wages. The OLS model is then used with several decades of data to examine the relationship between these factors. The paper concludes by interpreting these results and discussing their implications for policymaking, particularly in the realms of education and wage regulation. It emphasizes the significance of education as a major factor influencing wage levels in Indonesia while also highlighting the impact of demographic and sociological factors.
Research on Wotobuy and Platform Capitalism
Authors: Duan Yueyan
Published: November 2023

The Web 3.0 era has made the use of digital e-platforms extremely popular, and people can access various digital platforms for online communication through mobile phones, computers and other devices. Nowadays, when material life is booming, the emergence of digital e-platforms has also led to great changes in people's consumption patterns. The platform capitalism arising from digital e-platforms has gradually taken a dominant position in the global economic market, and e-commerce-based platforms combined with social media platforms have created a new type of s-commerce. This article will use the research method of qualitative analysis, taking Wotobuy as an example, to introduce Wotobuy's platform characteristics and operation modes, and to explore and explain how platform capitalism affects consumer spending patterns, sectors of the economy, the labor market, the value creation process and social dynamics. The research finds that platform capitalism has changed the way consumers shop, but it has also raised significant concerns about power, privacy and the treatment of employees. In order to address these concerns, a balance must be found between innovation and regulation, and the development and intervention of relevant laws is necessary due to the growing influence of platforms.
The Spillover Effect of the Federal Reserves Aggressive Interest Rate Hike on Chinas Stock Market in the Post-pandemic Era
Authors: Ni Weibin
Published: November 2023

In March 2022, the sudden shift in monetary policy by the Federal Reserve, which has been followed by eleven consecutive interest rate hikes totaling 525 basis points, has had a profound impact on the global economy. This article utilizes an ARIMA model to forecast the Nasdaq and SSEC indices and empirically analyzes the spillover effects of the Fed's interest rate hikes and balance sheet reduction on the Chinese stock market. In the short term, the unconventional monetary policies of the Federal Reserve are expected to have significant negative effects on the Chinese stock market. However, in the long term, China's financial market will gradually absorb these impacts and adjust the stock market trajectory according to its own economic cycle. Based on this empirical research, the article offers recommendations for Chinese policymakers on how to safeguard against such international financial events. It emphasizes the need to strengthen regulation, closely monitor the monetary policy directions of both countries, and make flexible adjustments to policies, avoiding one-size-fits-all approaches. As China serves as a representative of emerging economies, the findings of this study have implications for policymakers in other emerging economies as well.
Research on the Team Operation and Management Strategy of the Mainstream Basketball Leagues in China and America - Based on the Comparison Between NBA and CBA
Authors: Chen Yiwen
Published: November 2023

This research comparatively analysis gameplay and strategies in the National Basketball Association (NBA) and the Chinese Basketball Association (CBA). The goal is to understand more about how the various professional basketball leagues work, how games are played, and how well the players perform. In contrast to the CBA's emphasis on disciplined offensive setups and team play, the NBA places a premium on athleticism and three-point shooting. The research in both leagues' sheds light on the significance of defensive strategies, team cohesiveness, and individual player duties. Based on best practices in the NBA, there are several potential enhancements to league administration and marketing and implications for CBA coaching and player development. The study's results highlight the dynamics of the worldwide basketball scene and give recommendations for developing professional basketball. The research also analyzes and contrasts NBA and CBA players' scoring, playmaking, and rebounding abilities, among other things. Based on the insights it gives into each league's distinctive traits and its players' performance, this study has significant significance for the growth and extension of professional basketball globally.
Impact of Climate Extremes on Green Energy Security and Economy A Case Study of 2022 China Heat Wave
Authors: Li Andrew Ping , Li Yifan , Yin Renxi
Published: November 2023

These days, climate change has intensely influenced energy security. Energy is necessary in humans daily live. Low energy security causes huge health and financial risk for people, also economic pressure on the government. This paper analyses a case study of heat wave in Sichuan, China. This paper finds that traditional methods including putting quota on industrial usage of electricity and continuing using fossil fuels have severe limitations. There are many other energy systems dependent on water. Correspondingly, this study explores some possible effective solutions, not only from the perspective of government policy, but also from the perspective of energy supply, which will provide practical ideas for solving energy problems. First, governments can ameliorate the supply structure of new energy. This ensures that there are alternative ways on power generation under extreme weather conditions. Furthermore, governments can use different tools including tax incentives and subsidies to encourage more investors participating in energy projects and motivate scientists developing new technology on sources and storage.
Research on Reasons for Success of Crossover Marketing Strategy under the SMCR Model: The Case of HEYTEA and FENDI
Authors: Tang Yuan
Published: November 2023

Crossover is a marketing strategy in which two brands from different areas collaborate to illustrate the characteristics of target consumers from multiple perspectives, which has become the most popular marketing strategy in the past few years. There were 664 cases in the Chinese market from last March to March this year, like Disney and McDonald's, Sanrio and KFC and other famous brands. Therefore, this paper will discuss the reasons why some crossover cases are successful, taking the case of HEYTEA and FENDI as an example. The research methods of this study are literature reading and analysis of data, which are all from the brand's official website, platform data and professional statistical agencies. Finally, after analyzing under the frame of Berlos SMCR Model of Communication, it can be concluded that the mutual choice of the two brands in Source, the form of the message, the target of the recipient and the choice of the Channel together caused the success of this crossover case.
The Employment Impact of Digital Transformation in the Logistics Industry in the Age of Artificial Intelligence --Take Shunfeng as an Example
Authors: Li Tancheng , Mu Zanyuan
Published: November 2023

This paper presents the application of artificial intelligence in the logistics industry and its impact on employment as well as countermeasures. Shunfeng Logistics has enhanced efficiency and precision with intelligent distribution and warehousing applications. It is important for logistics enterprises and practitioners to pay attention, adapt, and acquire the necessary skills and knowledge to meet the demands of the AI era. The article suggests countermeasures like acquiring new skills, changing jobs, or transforming, along with government support. AI has significantly influenced the logistics industry by enhancing efficiency and accuracy and generating new employment opportunities resulting in some job transformations and upgrades. In the future, the logistics industry will require more highly skilled and specialised professionals and will strive for enhanced intelligence and efficiency. Professionals in traditional logistics practices will need to continuously learn and improve their skills and expertise to keep pace with the evolving challenges and changes in the industry.
Influence of ESG Performance on Fund's Propensity to Hold Shares -Empirical Evidence from China's A-share Listed Enterprises
Authors: Zhong Xinyi
Published: November 2023

With the prevalence of the ESG investment concept in China, the scale of ESG investment continues to grow. Taking A-share listed firms as the study sample, this research study empirically investigates the influence and mechanism of corporate ESG performance on the tendency of fund shareholding. The study findings indicate that corporations with better ESG performances are more inclined to attract funds to hold shares. Further, the impact mechanism analysis shows that ESG affects fund ownership mainly through two paths: reducing the risk of stock price collapse and improving the financial performance of enterprises. Further research finds that ESG performance exerts a stronger impact on increasing fund ownership in non-SOE firms than in state-owned firms. Also, firms with sound ESG performance are more inclined to pay cash dividends to return to shareholders. The extended study finds that the effect of ESG on fund shareholding behavior is mainly due to the enhancing effect of three dimensions: management practices, environmental dimension, and social dimension. The conclusion remains unchanged after passing tests such as endogeneity. This research extends a theoretical reference for comprehending the role of ESG in the capital market.
The Impact Path of the Gulf of Mexico Oil Spill on Fisheries A Case of the Deepwater Horizon Oil Spill
Authors: Li Yili , Liang Xinyue
Published: November 2023

Oil spills not only affect the Marine ecosystem, but also affect the economic benefits of human beings. Therefore, this paper studies the impact of the Deepwater Horizon Oil Spill (DWH) events on fisheries from the perspectives of demand and supply, which is helpful to understand the harm of oil spills, improve public awareness of environmental protection, and formulate effective prevention and control measures. On the supply side, oil spills have reduced fish numbers, polluted seawater, and reduced biodiversity. To clean up the spill, the government changed the water quality, which may have further killed some Marine life. On the demand side, consumers are concerned about fish pollution, which will have an impact on the health of consumers. Consumer demand is reduced, which in turn leads to a reduction in the income of local fishermen, and the demand of local fishermen is also reduced. Finally, this paper proposes to strengthen the management of the U.S. oil exploration access system, protect marine life, and install more guardrails.
Research on the Effect of Investor Sentiment on the Stock Volatility in China Market Based on Asymmetric GARCH-VAR Model
Authors: Li Xiaowen
Published: November 2023

Based on the information processing deviation in Behavioral Finance Theory, this paper, taking China stock market as the research object, discusses the effect of the overall emotional state of Chinese investors affected by information processing deviation on the stock volatility in the composite market of Shanghai and Shenzhen A-shares (SSAS) and the Science and Technology Innovation Board (STIB). Taking the current situation of China stock market into account, this paper selects the monthly comprehensive index of investor sentiment (CICSI_SDR) from March 2013 to March 2023, as well as the monthly stock returns in the composite market of SSAS and STIB. Then the volatility of stock returns is measured by the asymmetric GARCH model, then further combined with the comprehensive index of investor sentiment (CICSI_SDR), the asymmetric GARCH-VAR model is established. The research results found that there is a positive weak correlation between two variables, that is, the investor sentiment would drive the prosperity of financial market if that in the past upsurged and vice versa. Therefore, to better control market anomalies caused by investor sentiment, this paper suggests that the market should establish an evaluation mechanism for investor sentiment and gradually make the investor structure of China stock market be more reasonable.
Starbucks in Comparison to Other Beverage Brands in the Chinese Market
Authors: Zhou Quanyu
Published: November 2023

After years of economic growth, China's social wealth has been greatly accumulated, but Chinese enterprises are still there. At a low level of competition and lacking core competitiveness, Starbucks has developed into a world leader in just over two decades. A famous brand, its keen grasp of consumer demand in the era of the experience economy, as well as the mode and core of its brand operation. The creation of competitiveness is worthy of domestic enterprises to learn and research, through the study of Starbucks, hope to be able to domestically. The coffee market has some inspiration. This article examines and analyzes the performance of Starbucks in the Chinese market compared to other beverage brands. It evaluates Starbucks' marketing strategies and market conditions, drawing insights into the development of retail coffee in China. By analyzing the timing of Starbucks' entry into the Chinese market, the state of the Chinese beverage market, and the current situation of the retail coffee market in China, it provides an understanding of Starbucks' expansion strategy, store location strategy, and the challenges it faces, along with feasible recommendations.
Research on the Impact of Social Networks on Employment
Authors: Huang Jiaxi , Shang Hongru
Published: November 2023

In order to have a better quality of life, people need to achieve a higher level of income. As work is one of the most important ways to earn income, people seek more and better employment opportunities in the labour market in order to earn a higher income. Social networks, with their homogeneous aggregation and weak ties, not only help employers to a certain extent to quickly find potential labour that is suitable for the job, but also play an important role in helping people to obtain better employment opportunities. This article will explore both parts. The paper will first analyse the characteristics of homogeneity and weak ties, and then, through case-specific interview statistics, explain how social networks promote employment and improve employment opportunities. This study shows that homophily benefits employment via shared similarity among employees, emphasizing strong social connections. Weak ties aid employment by giving job seekers with weaker relationships better opportunities, underlining the role of weaker connections in jobs.
Social Media Changes the Market Based on Marketing
Authors: Ou Xuanming
Published: November 2023

The primary goal of this essay is to examine the effects of social media's ongoing development on the market against the backdrop of the explosive growth of MLM-based information. It focuses on comparing the success of the early traditional e-commerce online shopping media "Amazon" and "Taobao" and the success of the modern e-commerce online shopping media "TikTok." By analyzing the operation mode of "Taobao" and "TikTok" and comparing the changes of user data and transaction amount. It can be concluded that users will constantly put forward new needs with the continuous update of technology, and social media will constantly solve the needs of customers to update. This update will continue to maintain and enhance the convenience offered by social media online shopping, and continue to attract new users. From the perspective of marketing, social media constantly solves the needs of consumers and provides interactivity, which makes people more willing to purchase and evaluate products and feedback merchants through social media. For merchants, studying such topics can quickly find and use social media more in line with consumer needs to "interact" and increase their sales channels and quantity.
A New Angle to Ease Consumers Pain of Large Consumption - Based on a Comparative Case Study of NIO
Authors: Leung Taiming
Published: November 2023

Compared to the former essays, this essay proposes a new perspective on the existing theory of the pain of paying, which refers to the unpleasant emotional experience generated during the payment process that may affect consumer purchasing behavior since the economic and cultural trends have changed in recent years. The paper uses a comparative case study method with NIO, an innovative electric vehicle company in China, as the main case and traditional fuel vehicle companies (BMW Brilliance) as the auxiliary case, accompanied by field investigations, interviews, and secondary data analysis. Analyzing the existing literature review, market marketing problems of traditional fuel vehicle brands, market marketing innovation of NIO, and comparison between the two, the study aims to provide future trends and enlightenment at the end of the article, which is that extending service duration, improving service quality, and building a sense of community belonging do help NIOs customers reduce the pain of paying and can be the new future perspectives.
The Ultra-short-, Short- and Short-medium- Term Impact of Covid-19 Pandemic on Bitcoin Prices
Authors: Shi Lifu
Published: November 2023

The global outbreak of the COVID-19 pandemic has led to significant disruptions in financial markets, including the virtual currency market. This study examines the impact of the pandemic on Bitcoin prices across ultra-short, short, and short-medium time scales. Using ARIMA modeling, this paper analyze the dynamic behavior of Bitcoin prices in response to the effects of the pandemic. This findings illustrate distinct patterns of behavior in different time frames. First of all, from the ultra-short term perspective, after the local outbreak of the epidemic in China, compared with the control group constructed by the model, the price of Bitcoin has a relatively obvious upward trend during this period. In the short term, the outbreak of the global epidemic has led to a setback in investor confidence in all kinds of financial assets, and Bitcoin is no exception, and it is also facing a sharp decline. In the short to medium term, Bitcoin has acted as a safe haven asset in the context of the global pandemic of Covid-19. Understanding these intricate dynamics provides valuable insights into Bitcoin's multifaceted role during times of global uncertainty.