China has been burdened with the issue of income inequality which has been an ongoing conundrum for many decades in the vast majority of the world. Urbanization, which at first glance may seem like the ultimate solution may not provide the adequate effects many believe it brings forth. This raises the question: how does urbanization affect income inequality and specifically in China? While urbanization was thought to have been a way to mitigate this problem it has in turn further harmed the most vulnerable stakeholders, those on the lower receiving end. In order to effectively benefit and accurately pinpoint where the theories and reality differ, it is crucial this question is answered. This paper will take the analyses and data collected from various studies. An explanation of the initial perspective on urbanization will be brought up followed by the studies of the current situation and polished up with a discussion and some suggestions for the future.

Since the Covid-19, the recovery of economic vitality has long been the focus of governments at all levels. As an important module of economic revitalization, promoting the growth of its economic system has been a long-term policy of the country. To this end, the country has been putting forward the economic policy of common development of urban and rural areas since the 19th National Congress. Based on the vigorous implementation and continuous deepening of the current policy, this paper, based on the various problems and opportunities faced in the current urban and rural economic development, combined with the accumulation of personal daily work in the Chuanying District of Jilin City, analyzes the reasons in depth, actively improves the plan, and tries to explore effective measures to promote the development of China's agricultural economy, which has a very positive role in promoting the improvement of the quality of national life and promoting the efficient construction of urban and rural economies.

As a highly indebted industry, the civil aviation transportation industry's debt risk management is crucial to its everyday operations. After the emergence of COVID-19 in early 2020, a number of airlines have been adversely affected by variables such as a reduction in the number of passengers, and their operating revenue has been severely impacted, with some even facing the possibility of insolvency. How to control the size and risk of debt is particularly crucial when income is low. On the basis of empirical analysis, this paper collects and sorts the financial data of three large state-owned civil aviation enterprises (China Southern Airlines, Air China, and China Eastern Airlines), selects several debt risk measurement indicators to analyse the impact of the epidemic on the debt risk of civil aviation enterprises, and offers corresponding recommendations for the management of airline debt risk.

Since the outbreak of COVID-19 in 2019, online consumption has grown explosively and has become the main consumption mode for modern people. As the young group who are good at using the Internet, consumption behaviors and habits of college students have undoubtedly been greatly influenced. As teenagers’ behavior and economic activity are important roles in human life, this paper aims to study college students’ economic behavior as influenced by the pandemic. The paper mainly uses theoretical analysis methods, combined with existing studies in the fields of behavioral economics, to analyze the consumption characteristics of college students from three aspects: the increase in online shopping, irrational consumption caused by online loans, and unnecessary consumption caused by community behavior. The epidemic does have effects on college students' online consumption behavior, such as increasing irrational consumption and unnecessary consumption, which needs the attention of relevant scholars and the society.

The Great Recession, which started in 2007, was considered one of the severest economic downturns that ever transpired, causing massive unemployment and panic. Intriguingly, economic growth remained significantly lower than the pre-recession level in the US. This article intends to research the relationship between confidence and US economic growth. Through this study, the author intends to use the qualitative research method to analyze existing data and explore the factors that deteriorated the confidence of the Americans and how these factors continued to influence the economic growth of America in the phase of recovery. The result is, in short, the collapse of the financial market, soaring unemployment, and the accumulation of debts, which spread anxiety in the US economy, made individuals lose their confidence over a long period, and caused a sluggish economic recovery years after the end of this recession.

A well-developed and well-executed marketing strategy is important for a company, especially for Adidas in the highly competitive sporting goods industry. Therefore, this essay analyzes Adidas’ marketing strategy with the help of the 4Ps marketing theory and proposes relevant strategy optimisation. The result shows that Adidas’ current marketing strategy focuses on incorporating sustainability to drive product innovation. This marketing strategy is beneficial in helping the company to engage consumers and build a credible brand image. However, this marketing strategy also faces problems with product innovation lacking competitiveness, product quality and pricing. Therefore, Adidas could optimise both its product strategy and its pricing strategy. Specifically, Adidas could focus on product innovation, drive digital transformation and increase its control over suppliers in order to expand its product strength and optimise its product strategy. At the same time, Adidas could optimise its pricing strategy by increasing its sensitivity to changes in competitors’ prices, consumers and market demand.

Nowadays, ESG investment, which involves environmental (E), social (S) and governance (G) elements, become a hit. Not only the leader of companies but also the public were attracted by such investments aimed at long-term benefits. However, at present, there exist many problems with ESG investment, such as, lack of standard, return, and supervision for it. At the same time, with the development of economy and social concept, corporations increasingly play a greater role in society. As a result, corporations are expected to assume a series of social responsibilities by the public. ESG investment and corporate social responsibilities, obviously the two concepts have something in common. Therefore, the paper focuses on the two concepts and tries to answer ESG-related problems from the perspective of corporate social responsibilities. First, through the analysis and summary of relevant research, the paper concludes the relationship between the two. Second, through data analysis and case studies, the paper explores the benefits of ESG investment if it embodies the assumption of corporate social responsibility. Last, the paper concludes with what and how we should do to promote ESG investment for the purpose of making companies assume more social responsibility.

Due to the expansion of the economy and society, higher standards have been proposed for the growth of enterprises. More and more attention has been paid to the sustainable development of enterprises. The shortage of resources and environmental pollution are another challenge for manufacturing enterprises, requiring businesses to give environmental issues more consideration modern management practices such as green supply chain management take the entire supply chain into account when making decisions. It incorporates suppliers, manufactures, sellers and users and is based on the principle of green manufacturing and supply chain management technologies. Its goal is to reduce environmental impact of the entire process of purchasing, processing, packing, storing, moving, using, and discarding products. This article begins with the meaning of supply chain management, examines the fundamental components of a green supply chain, elaborates on the implementation of a green supply chain, discusses the challenges a green supply chain faces in China, and then proposes green supply chain management strategies.

In the context of the global epidemic, urban rail transit has the risk of spreading the virus. Taking Beijing Metro Line 1 as an example, this project establishes a dynamic model of train variable marshalling by studying passenger behavior and virus transmission, aiming to explore more intelligent marshalling mode, optimize transportation organization, and improve the flexibility of train marshalling and dispatching of urban rail transit, so as to improve its transportation efficiency and reduce the station personnel density, Then reduce the risk of disease infection of passengers in the process of taking urban rail transit under the background of the outbreak. The results show that: Dynamic marshalling technology can significantly improve the transport efficiency of urban rail transit trains and effectively control the risk of infection of passengers.

Social media marketing strategies contribute to increasing the brand awareness of businesses. However, they have not always fully exploited the creativity and innovative capacities of the strategy due to unawareness of the best tools to utilize in modern technology. Notably, some organizations also fail to recognize the benefits of social networks. The internet has exposed numerous opportunities, such as online marketing that utilizes advertisement mechanisms like the podcast, blogs, and social media to reach their target audiences. However, the internet allows users to interact and create communities, facilitating the exchange and discussion of knowledge. Famous social media networks include youtube, Facebook, and Twitter. However, the advancing social media development has contributed to the emergence of new platforms such as Tiktok. Analysts measure their popularity based on the level of activities the platform offers its users. As a result, modern social networks facilitate more effective than traditional networks since they promote global interactions by overcoming geographical barriers. Currently, only a few organizations use social networking in various sectors, but this literature identifies numerous strategies that every organization should utilize to promote its brand. This article intends to discuss the best social media marketing strategies, their benefits, and challenges and provide insights about the emerging trends and application of modern technology such as Artificial Intelligence (AI) and chatbots in marketing. The first part of the review introduces the topic, while the subsequent sections address the marketing strategies such as image appeal and content. The challenges section addresses the problems that accompany the strategies. The emerging technology and trends cover the modern aspects that dominate online marketing, such as chatbots, artificial intelligence, and short videos. The discussion relies on numerous relevant literature articles exploring the aforementioned social media marketing issues.

With the increasing importance of China's consumer market, understanding Nike's strategies in this market can provide valuable insights for other international brands. The purpose of this paper is to analyze Nike's marketing strategies in the Chinese market. The paper first provides a brief background of Nike's development in China and the current market situation. Then, the paper analyzes Nike's marketing strategies from four perspectives: product, price, promotion, and distribution. The analysis is based on both primary and secondary data, including interviews with Nike's marketing personnel in China and a review of related literature. The findings suggest that Nike's marketing strategies in the Chinese market have been effective, especially in terms of building a strong brand image and appealing to the younger generation. Nike's focus on innovation and technology, as well as its localization strategy, has also contributed to its success in China. Overall, this paper provides a comprehensive analysis of Nike's marketing strategies in the Chinese market, and can serve as a useful reference for other international brands seeking to enter or expand their presence in this market.

Under the new consumer era, the traditional marketing strategy of product communication is gradually weakening, and the importance of product branding is becoming increasingly prominent, becoming an essential part of the competitiveness of enterprises. The majority of tea beverage brands make brands deeply remembered by consumers to get a place in the fierce competition in the market. This paper takes Mixue Ice Cream & Tea (also named Mixue) as an example and elucidates the brand optimization strategies from perspectives such as brand IP image design, festival marketing, and music marketing combined with new media. The study provides inspiration and references for tea products.

As technology rapidly developed, many entertainment applications occurred on the internet. Competition among various entertainment software is fierce, Chinese TikTok (also named Douyin) become the most popular entertainment application of its excellent marketing strategy in recent years. Meanwhile, TikTok also revealed many disadvantages which make the network society become chaotic. This passage combing some literature and the history of TikTok analyses the marketing strategies and existing problems of this product. The research found that some marketing strategies of TikTok are product strategy, price strategy, promotion strategy, and content strategy. This research also provides some advice on the development of the company.

Venture capital supports not only to the continual increase of the size of start-up companies, but also to their research and innovation, thereby transforming scientific and technological advantages into competitive advantages. Venture capital would enhance the competitive advantage of businesses and assist them in reaping a double harvest of dollars and reputation. It is vital that venture capital institutions and startups are matched in a reasonable, steady, and effective manner. This study covers the evolution and research process of two-sided matching between venture capital institutions and start-up businesses through a literature review. With the ongoing evolution of society, matching decisions in venture capital are also evolving. The promotion of economic growth and technical innovation, as well as the improvement of international competitiveness, can be aided by the reasonable and efficient pairing of venture capitalists.

The past research about high school students’ investment behaviors is mainly carried out during the start of the 21st century. However, with the increasingly changing family wealth and living standards in China, the amount of money high school students possess is much higher nowadays. Moreover, this study is carried out in Beijing, one of the most flourished metropolises in China. Therefore, a study that is more time-sensitive should be carried. This paper examines the factors affecting investment behavior among contemporary high school students from an affiliated school of Peking University in China. A questionnaire-based survey was conducted to collect data from about 100 high school students. The findings revealed that most of the respondents had discussions about financial issues with their parents or other guardians during their high school years, and observed their parents or guardians engaging in positive investment behaviors.

Contemporarily, in the context of big data, enterprises need to continuously optimize and innovate the supply chain, change the traditional supply chain management process pattern as well as optimization the whole supply processes. These actions are able to strengthen the actual effect level of supply chain process operation and achieve more benefits for the enterprise. Under the background of big data, more information management technologies are widely used, and supply chain management needs to clarify the deficiencies in its own operation, and reengineer and adjust the deficiencies. This paper will systematically discusses the implementation of the state-of-art bigdata analysis techniques in SCM. According to the analysis and evaluations of the measures, the usage of advanced big data technology will help increase the cultivation and establishment of management talent resources, so as to optimize the supply chain management process. Overall, these results shed light on guiding further exploration of supply chain management optimization.

The worldwide economic market has fluctuated wildly due to COVID-19, therefore revealing the co-movement of international stock markets should reduce its destructive force and shock. Based on the "Economic Basic Hypothesis" and "Market Contagion Hypothesis," this work uses VECM and GARCH models to examine international market volatility using the Shanghai Composite Index (SSEC), Shenzhen Composite Index (SZSE), and S&P 500 index. The total trading data of three indexes are divided into 2 periods, with September 01, 2019 as the cut-off point. The period 1 is from January 5, 2015 to August 30, 2019 and the period 2 is from September 3, 2019 to December 30, 2022. The study shows that: 1) During the COVID-19, the short-term return of both stock markets has declined and volatility has increased; 2) there is no reliable co-integration relationship between S&P 500, SSEC and SZSE which also declaims no long-run equilibrium between two markets; 3) before and during the COVID-19, the close to close return rate of America stock market guided the return rate of China stock market; 4) both S&P 500, SSEC shows an asymmetric effect and the leverage effect is distinct; 5) the co-movement was stronger when the rate of return was relatively high; 6) volatility spillover effect of China to USA stock market was significant.

In recent years, gender equality has increasingly become the focus of international attention. The proposition of gender equality is widely used in politics, economics, and other fields. As a new investment concept emerging in the field of global economic law in the last decade, when assessing the potential for long-term growth, environmental, social responsibility, and governance investments also consider the social and long-term value of businesses. In the process of pursuing sustainable development, environmental and social responsibility, governance investment, and the embodiment of gender equality in enterprise management and business investment are inseparable. The research topic of this paper is the impact of female executives on corporate development. This paper mainly uses data from the China Stock Market and Accounting Research Database and the State Intellectual Property Office. Through legal study and data analysis, which are the three perspectives of the environmental, social responsibility, governance, and investment approaches. Then the paper evaluated the data using the Dow Jones Sustainability Index. Score the sample data with the Dow Jones Sustainability Index, and compare the final score to determine the sustainable development ability of the company. Deeply considers the role of female executives in the enterprise and the existence of female executives on investors, boards and even the entire company.

Artificial intelligence has reconstructed the business model of the e-commerce industry and brought about fundamental changes in the industry ecology. However, few studies have comprehensively and clearly exposed the mechanism and impact of this change. In this paper, we decompose the existing business model elements and integrate artificial intelligence with the deconstructed business model elements based on the scenario of a changed e-commerce platform business model. Through the case study of Alibaba, the largest e-commerce platform in China, we constructed the module division of "people", "goods and services," and "scene" for the e-commerce industry based on the business model canvas, and summarized the mechanism of artificial intelligence to reconstruct the business model of e-commerce industry. This paper reveals the mechanism of digital technology transforming the fit of business model in e-commerce industry, and provides theoretical and practical guidance for e-commerce enterprises to make full use of digital technology to achieve business model innovation.

With the development and prosperity of China's market economy, enterprise disputes have become more and more frequent. The perfection of the ADR mechanism applicable to enterprise disputes is an effective guarantee for friendly commercial competition between enterprises and an essential cornerstone for maintaining enterprise development and social stability. This article focuses on the types and characteristics of Chinese enterprise disputes, and starts from the case to analyze the difficulties and challenges faced by enterprises in the process of using ADR to resolve the dispute, and learn from the successful experience of foreign ADR. This article believes that the legislative, institutional design and implementation agencies in enterprise disputes should be found to find the ADR model suitable for Chinese enterprise disputes.

Algorithmic bias in artificial intelligence (AI) is a growing concern, especially in the employment sector, where it can have devastating effects on both individuals and society. Gender discrimination is one of the most prevalent forms of algorithmic bias seen in numerous industries, including technology. The underrepresentation of women in the field of information technology is a well-known issue, and several organizations have made tackling this issue a top priority. Amazon, one of the world's top technology businesses, has been at the forefront of initiatives to increase inclusiveness and diversity in the sector. Concerns exist, however, that algorithmic bias in their recruitment process may perpetuate discrimination based on gender. This study intends to investigate these issues by employing an interpretive epistemology and utilizing interviews and focus groups to acquire a more nuanced knowledge of the subject, with key factors contributing to algorithmic gender bias in Amazon's recruitment process and recommend strategies for improving women's employment in information technology.

As COVID-19 cases spread rapidly globally, the effects of the pandemic have been highly paid attention to. Among the numerous effects that the pandemic has left to the world, including economic recession, there have been arguments that COVID-19 has widened income inequality. Specifically, the policies implemented to combat the coronavirus have been pointed out as the cause. This paper will investigate the impact of Zero-COVID policy on income inequality that exists within and among different regions in China through the examination of different papers. This paper will be useful in the prediction of the effect of pandemic on income inequality in the future and will be helpful in evaluating the relevant policies implemented to prevent the spread. In conclusion, the implementation of the Zero-COVID policy has resulted in income disparities both within and among different regions, with the severity of impact depending on the intensity of the policies’ effect on different regions.

Sephora is a leading global beauty retailer in the major beauty and hair and skin care industries, but there are many similar companies in the industry resulting in fierce competition, so this paper examines how Sephora stands out from the competition. This research paper is an analysis of Sephora's marketing strategy and presents the problems and possible solutions. A brief description of Sephora's business model is given, and the Sephora retail market is analyzed, starting with each of Sephora's marketing strategies and conducting a SWOT analysis. Overall, the research concludes that Sephora's marketing strategy is very effective in driving customer engagement, loyalty, and e-commerce marketing strategies.

People's minds are deeply entrenched in the sharing economy due to the Internet's popularity. Against the backdrop of the sharing economy, in order to achieve the increase in economic benefits, a number of private companies are beginning to prioritise the transformation of financial management in order to optimise their operating condition. As an integral part of our economic market, private enterprises must adapt to the needs of The Times and consider ways to restructure their financial management under the sharing economy model in order to increase their competitiveness. Using the literature review method and the case analysis method, this paper explains the significance of the sharing economy model to the financial management of private enterprises, analyses the existing problems in the financial management of private enterprises, and offers pertinent recommendations.

The research question in this paper is a study of the investment value of stocks in the Growth Enterprise Market (GEM) sector. To address this question, 15 variables from 50 stocks in the GEM sector were randomly selected for factor analysis in this paper. Through steps such as KMO and Bartlett's spherical pre-test, the 15 variables were summarized into five common factors, namely: financial risk factor, profitability factor, growth factor, total asset utilization factor and collection capacity factor. Finally, based on the five common factors, the factor scores of each of the 50 stocks were calculated and ranked to obtain the five stocks with the most investment value: Goldfish, Win Style, Aier Eye Care, Anchor Innovation, Vacheron Constantin and the five stocks with the least investment value: Huatu Shanding, Venture Blackhorse, Mei Ansen, He Ren Technology, Gu Ao Technology. In the subsequent further validation, the top five stocks were found to have high investment value.

Since the founding of China, China has established diplomatic relations with neighboring countries, forming diplomatic relations with Chinese characteristics. In the course of more than 60 years of development, China's neighborhood diplomacy has accumulated rich practical experience, and China's international status and influence have been continuously enhanced. In recent years, China has increased its international status and cooperates with foreign governments more often than it did decades ago. This article will examine the problems China faces in international economic cooperation, find the causes of China’s foreign economic cooperation problems, and propose some solutions. China’s economic activities in Africa bring pros and cons to both sides of the trade. Data for China-Africa trade are used and analyzed circumstances of cooperation. It is important to improve the trade imbalance between China and Africa and build more sustainable economic environments in Africa via China’s help to improve cooperation between countries further. Through the implementation of the new concept of neighborhood diplomacy and foreign policy, China has promoted the adjustment of its domestic economic structure and industrial upgrading, strengthened economic and trade exchanges and political mutual trust with many countries in the world, and won their support in international affairs in particular, laying a foundation for China to expand broader diplomatic relations.

At present, the most important issue for economic development is how to ensure the coordinated development of all aspects. At present, the country's focus has shifted from all-round moderate prosperity to the issue of average development. Therefore, how to ensure and implement the average of resources and the exploration of implementation plans are currently more important research. Tourism is a recent emerging economic industry and plays a great role in promoting China's economic level. Starting from the current development status of China, this paper comprehensively analyzes whether tourism will affect the income difference between urban and rural residents through literature retrieval and case analysis. Explore how this element can be positively promoted. After research, we conclude that the development of tourism can indeed promote the balance of urban and rural development, but at the same time, it will also cause the problem of improper resource development and mismatch between the speed of tourism development. Therefore, countries need to respond to the situation. For example, strengthen the management of tourism resources, strengthen the publicity and governance of scenic areas, and so on. These optimization policies will definitely effectively alleviate and optimize the existing differences and differences, and realize the average quality of life of residents as soon as possible.

China’s consumption subsidy policy is considered as a dominant factor in promoting the development of the domestic electric vehicle (EV) market, and companies like BYD have benefited from this policy. BYD, one of the leading EV manufacturers in China, has seen significant growth in EV sales since introducing the subsidy policy. This paper examines the influence that China’s EV subsidy policy brings to BYD, highlighting the pros and cons of the policy and the challenges and opportunities faced by EV manufacturers in China. Specifically, the policy has helped to make EVs more affordable and accessible to consumers, but it has also led to overcapacity and intense competition among manufacturers. The policy has also been criticized for being too heavily focused on subsidies and insufficient on other measures, such as infrastructure development, necessary for the EV market’s growth. By examining the subsidy policies and market performance of BYD, this paper highlights the effectiveness as well as drawbacks of the subsidy policy and the challenges and opportunities faced by EV manufacturers in China.

As a leading domestic sporting goods company in China, Li Ning has always occupied a large number of domestic market share. However, with the rapid development of globalization, the targeted penetration of international brands into the Chinese market began to shake Li Ning's position in the local market. This paper focuses on Li Ning's brand itself, repositions its development path and direction, and studies the shortcomings of Li Ning's current marketing strategy. Based on the analysis of Li Ning's brand market strategy model, the researchers put forward a series of suggestions to provide a more comprehensive direction for Li Ning's future expansion plan. During the study, the researchers used the SWOT model, the competitor model, and the stakeholder analysis method to help establish the depth and completeness of the content. In a word, Li Ning's existing cultural diversity and channels for external expansion are relatively lacking. At present, Li Ning can only strengthen technological innovation and improve international image awareness (change of spokespersons or transnational cooperation, etc.) to successfully create an excellent marketing strategy of globalization.

Over the past few years, there has been a steady increase in demand for frozen and refrigerated products among Chinese residents. The growth of the cold chain logistics industry has played an important role in advancing China's economy. However, due to the impact of COVID-19, there is now concern over the safety of such products, which has led to a potential setback in economic recovery. This article attempts to describe the difference between the new cold chain logistics and the traditional cold chain logistics in the post-epidemic period from the structural changes in the cold chain logistics and to explore the structure of the process. To fill the gap in modeling study on new cold chain logistics, this article uses Petri net to model the new cold chain logistics in the post-epidemic period and then analyzes the model using TINA software. This study aims to provide an optimization solution for the new cold chain logistics process and to serve as a basis for future related research. However, there is a gap between the results obtained through simulation and the real situation. If researchers want to further improve the model and solve the problem, they still have to cooperate with related companies to understand the actual situation.

With the rapid development of global network platforms and science and technology, some emerging financial technologies (Fintech) have been applied to commercial activities and promoted the development and evolution of business models to a certain extent. However, the problems exposed at the same time have not received full attention. Based on the application examples of financial technology (e.g., online payment, peer-to-peer lending, robo-advisor, and blockchain) collected this year and the comments of some authoritative persons, this paper will objectively analyze financial technology from the aspects of current situation, development potential, risks and limitations. The study found that although the lack of financial technology has significant advantages in business activities, its risks and limitations are also a major challenge to the future development of financial technology in a period of rapid development. Relevant technical personnel are needed, and the cooperation between enterprises and the government is the healthy and sound development of financial technology.

Studying the linkage between US and Chinese stock markets under the context of COVID-19 outbreak in 2020 can help us to prevent related financial risks, regulate corresponding monetary policies, and avoid the herd effect of investors being blindly optimistic or pessimistic. Between January 1, 2020 and November 10, 2022, using the returns of the S&P 500 index as a proxy for the US stock market and the CSI 300 index as a proxy for the Chinese stock market, the VAR-GARCH-BEKK model was used to empirically analyze the relationship between the two. According to the findings, the rise and fall of the S&P 500 index has some favorable effects on the rise and fall of the CSI 300 index. Yet, the CSI 300 index's movement is largely determined by past data, suggesting that the S&P 500's volatility, which represents the US stock market, has little effect on the Chinese stock market, which is represented by the CSI 300.

More and more individuals, businesses, and financial institutions are realizing the importance of risk management, and it is also an integral part of the development process for commercial banks. Most people do not consider the significant risks that banks face when conducting transactions and that this is a key factor in the survival of the bank. Therefore, this paper examines how Canadian commercial banks manage risks and explores the objective causes of increased risk by collecting annual data from Toronto-Dominion Bank (TD) and comparing and analyzing it with the data of previous years. The comparison of selected data continues with an analysis of the ability of commercial banks to manage risks and how risks affect the profitability of the bank. The study finds that liquidity risk is positively correlated with the bank's profitability and performance, while market risk and credit risk have a negative correlation with the bank's performance. External factors such as inflation, interest rate hike, and COVID-19 also challenges the bank with increased risk. TD has a well-developed regulatory system and countermeasures, and the bank has a high level of risk management and response capabilities.

The challenges Faraday Future Intelligent Electric Inc (FF), a Los Angeles-based automaker founded in 2014 with the goal of transforming the automotive industry with connected smart electric vehicles. This paper first explores the company's troubled history, from its ambitious $500 million project to build a manufacturing plant in North Las Vegas, which was eventually abandoned due to financial difficulties, to the current struggle to deliver its flagship car model, the FF91. This article delves into the effects of FF's financial mismanagement, deglobalization caused by the pandemic, and over-reliance on the success of FF91, all of which contributed to a decline in brand reputation and market confidence. It also discusses the challenges posed by the competitive EV industry and FF's questionable pricing strategy. Despite these uncertainties, the company still managed to list on Nasdaq in July 2021. This article considers the potential outcomes of the reverse split plan FF announced to avoid delisting. Through this analysis, the article attempts to provide insight into the broader implications and applications of the company's struggles and future prospects in the context of the electric vehicle market.

The announcement that the Federal Reserve may announce its eighth interest rate hike in almost a year on 23 March 2023. The trend of international capital flows to the U.S. has become more pronounced. However, this is a double-edged sword for U.S. multinationals. The entry of international capital into the U.S. may contribute to a more prosperous U.S. financial market. However, at the same time, a higher dollar exchange rate means that multinationals' revenues may fall. This paper, therefore, chooses to analyse Tesla, one of the most representative US multinationals. A VAR and an ARMA-GARCH model are used to analyse Tesla's share price movement and the U.S. dollar index futures price movement. This paper finds a correlation between the U.S. dollar index futures price and Tesla's share price. Based on the results of this paper, investors can adjust their investment decisions in Tesla stock based on the following Federal Reserve policy.

From 2018, as the US trade imbalance with China has grown, the US has slapped tariffs and high-tech export sanctions on China, and China has retaliated. This led to the beginning of a war between China and the United States over trade. This article will analyze the deeper reasons why the United States wants to use a war over trade to against China from the historical and current macro level and analyze the economic impact of the trade war on the two countries from three aspects: stock market, business, and currency. And compare the trade war’s consequences with the goals that the United States hopes to achieve through the trade war to analyze whether this war has achieved good results for the United States. The research in this paper finds that the trade war has not brought the United States the results it sought to achieve. The trade war has influenced many industries, and it has caused the economies of the two countries to regress to varying degrees. This article hopes to give the reasons why the trade war is meaningless through research.

With the advancement of technology, everyone has the right to live longer, which leads to a serious problem: aging. This article examines the differences in consumption, savings, and investment between older and younger people, as well as the impact of aging on the labor market, technology, and the economy. Thus, people can know what aspects of society will be affected by the seriousness of aging. Through this research, it is found that older people are more rational in their consumption compared to younger people. Moreover, as aging becomes more serious, it will reduce the proportion and number of labor force causing labor shortage and also slow down the technological innovation. The problems associated with aging identified in this article can be a useful reminder of some of the implications of aging. Investors can invest in nursing homes, health care products, and elderly-friendly products to further develop the silver economy and drive economic development.

The development of information technology makes quantitative investment strategy widely used by various investors. Among them, pairing trading strategy has attracted the attention of a large number of investors. In this paper, the validity of paired trading is verified and the validity of Bollinger band signals used for paired trading is tested. To be specific, this paper takes Shanghai and Shenzhen 300 component stocks and China Securities 500 component stocks as data sets. In this paper, the correlation coefficient method is used to match the stocks. This study uses the closing price data of stocks in each pairing group from August 2021 to August 2022 for training, and backtests the training results with trading data from August 2022 to February 2023. From the yield index, the backtest group can get the highest yield of 23.4%. In addition, according to the analysis, the probability of positive returns in the backtest group is up to 80%.

Co-branding in a masstige way has emerged as a popular brand strategy, believed to benefit both allied brands. While some fashion brands have already adopted this strategy, there needs to be more research on co-branding with artists in a masstige way. This study employs a quantitative research design using questionnaires to examine the viability of Joint Brand Evaluation, Brand Match Evaluation, Consumer Involvement level, and Single Brand Attitude. The analysis is grounded in psychological theories and the masstige theory. The findings indicate that brand culture and value positively affect fashion brands after collaborating with artists in a masstige way. However, this study does not find support for the effect of consumer involvement, and the status consumption effect is insignificant in this model. These results have important implications for brand managers seeking to select artists as partners for masstige co-branding and researchers interested in exploring this area.

China's juice market has been slow in recent years, and the market share is gradually decreasing. Based on the importance and research value of online reviews on e-commerce platforms today, this paper uses the python crawler tool to crawl the top three 100% juice product reviews on the JD platform, extract new words and keywords, and analyze positive and negative emotions, and then visualize them. According to the research results, it is suggested that fruit juice enterprises carry out taste innovation; Optimize packaging design, materials, and specifications; and make suggestions such as timely promotion activities on holidays. It aims to put forward targeted tips for recovering China's juice market.

In February 2020, the COVID-19 pandemic originally broke out in Wuhan, China and spread out with an extraordinarily rapid rate, resulting the outbreak of pandemic in the global scale and resulting in various economic problems in many countries including change in U.S. labor market, specifically the unemployment rate. This paper applies a non-seasonal autoregressive integrated moving average (ARIMA) model to investigate how much the three categories of unemployment rate (overall, adult, youth) was affected by COVID-19 pandemic while the classification of unemployment is the innovation of this paper. The outcomes of ARIMA model reveals that the impact on all three types of unemployment rate reached the peak at April 2020 whereas the youth unemployment rate was affected the most severely by COVID-19 pandemic compared to overall and adult unemployment rate. From secondary research, border closure, the pause of transportation in the international scale and the restriction of marketing caused by COVID-19 pandemic may be the key of the change in labor market since the oversea transaction was greatly undermined so that the income of many firms declined significantly and they needed to carry out job cut to decrease the cost to make staff’s living. To reduce this kind of impact, governments, investors and public are required to prepare well to reduce the unemployment when encountering a pandemic so that the basic social well-being can be guaranteed as much as possible in this type of emergency circumstances.

The nation's small and medium-sized businesses (also known as SMEs) constitute an essential component of the economy as a whole; yet, many companies are right now struggling to obtain adequate funding. On the one hand, increasing the amount of capital invested in venture firms by venture capitalists can considerably promote the development of venture enterprises. On the other hand, venture capitalists look for businesses in which they may invest, with the goal of achieving high levels of success and gaining substantial profits. Therefore, in order to make a reasonable and stable match between venture capitalists and SMEs according to their respective preference lists, this paper makes use of the Gale-Shapley algorithm, which is part of the two-sided matching theory. This helps improve cooperation efficiency and maximizes the benefits for both parties. In addition to that, based on the algorithm, this article offers some policy recommendations for the venture capital market in China.

With the development of new media and the change in consumer taste, consumers' interest in traditional advertising has decreased. The form of advertising has undergone tremendous changes. This paper highlights the importance of Micro-Movie in contemporary advertising and marketing and presents a case study of the marketing strategy used in LaoDu. Combining cinematic techniques and advertising campaigns, micro-movie advertising provides a condensed but powerful storytelling experience that can evoke emotional resonance and build brand image. However, only some companies can succeed with micro-movie advertising, as it requires balancing commercial objectives with artistic and educational values. The analysis of LaoDu demonstrates the effectiveness of its placement channel selection, narrative strategy, emotional marketing, senior marketing, and word-of-mouth marketing, offering inspiration and guidance for other brands' marketing efforts.

Credit cards are widely used due to their overdraft function, which establishes a loan relationship between customers and financial institutions. However, defaulting on credit card payments can result in negative consequences, such as bad credit records for cardholders and economic losses for financial institutions. This research paper analyzes credit card default data in Taiwan from April to September 2005, with the aim of providing support for financial institutions to effectively monitor credit card risks.

Nowadays, with the development of social network, live streaming has become one of the main ways of sales for some merchants, which has a great influence on consumers. East Buy online shopping as one of the broadcast studios rapidly is recognized by the public in recent years. The influence of its consumption strategy on consumer psychology can be analyzed as a typical case of live broadcasting. This paper will take East Buy online shopping as an example to explore marketing strategy of e-commerce live streaming based on consumer psychology, and mainly analyze the influence of the marketing strategy on consumers' consumption intention through a questionnaire survey. The results show that the quality of products is the primary factor that consumers consider, and the selection of anchors with excellent qualifications in East Buy online shopping studio also makes consumers more inclined to choose it. This study found that the main factor that affects consumers’ psychology is the price of goods. The excellent qualification of anchors in East Buy online shopping studio is also one of the important reasons why consumers are more inclined to choose it among most brands.

Apple is the world's largest technology company and is an industry leader since the first computer was developed. One of the keys to Apple's success is developing an entire ecosystem that includes IOS. Based on the 4P theory of marketing, this paper analyzes the development strategy of Apple. The purpose of this paper is to discover the development potential and potential problems of the company through the analysis of marketing strategy. Through the method of case study, this paper analyzes the existing problems of Apple in product, price, place and promotion strategies and puts forward suggestions. The results show that creating innovative and high-quality products, providing a unique user experience, and classifying products according to different groups are effective development strategies for Apple Inc. In addition, increasing the number of directly operated stores to improve service quality and controlling the quantity and quality of advertisements are also key factors in Apple's success. Apple's 4P analysis shows that Apple still has opportunities to make progress and needs to improve the details of its future development. Overall, this paper provides valuable insight into the development strategy of one of the world's most successful companies and a useful framework for businesses seeking to achieve similar success.

Capital Asset Pricing Model (CAPM) is a widely used financial model for asset pricing. This paper summarizes the advantages of CAPM, highlighting its applicability to most developed countries. Based on academic research, this paper also discusses the limitations of the CAPM model, including issues with its assumptions and its limited suitability for developing countries. In the end, Alternative solutions are discussed, including finding other financial models to replace or improve the CAPM. However, through the summary, this paper finds the current financial models are relatively independent and most of them have some shortcomings in the assumption. It is difficult to find a perfect model. Therefore, the conclusion is that the future research direction should be to integrate a summative financial model to integrate the advantages of each model to help future financial analysis in both developed and developing countries.

Asset pricing model is one of the most fundamental studies in the field of finance. The simple CAPM model introduced in 1960s aims to relate the return of stocks and portfolios to the beta, which represents these assets’ level of risk. It has covered a long distance, so the paper conducts a test on it based on the data of Japanese and US stock market to see whether it’s still accurate. The data is from January 2020 to December 2022 and 72 cross-sectional regression equations was calculated. The results of the test indicate that the CAPM is not applicable in Japan but still precise in US. And it can help the investors and other financial researchers to have an overview about the stock market in these two countries and their market index. The paper also suggests that people who invest in financial markets should not only rely on the basic CAPM model but also take other factors into account.

CAPM, or capital asset pricing model, is an important tool for determining the expected returns of individual securities or portfolios and for systematic analysis. It is a strong support for the price theory of modern financial markets and is of great importance to the financial markets of various countries. This paper first introduces CAPM briefly, and then analyzes the advantages and disadvantages of the model one by one and analyzes its effect on the financial market with a practical case study. A number of studies have shown that because its hypothesis does not conform to the actual market, the alternative model of CAPM is introduced, and it is found that whether these models used in finance are applic-ble or not has a great relationship with the data, so the CAPM model and its alternative models are worth further study in pricing.

Since 2022, China has entered the post-pandemic era, with its strategic focus shifting from fighting the epidemic to economic recovery. The A-share market is under the influence of uncertain factors such as the novel coronavirus epidemic as well as the outbreak of conflict between Russia and Ukraine. In order to avoid risks and increase returns, optimizing investment portfolio has aroused people's attention and become the focus of research. This paper takes China's stock market as the research object, selects seven industries favored by investors, and selects a representative stock in each industry for portfolio construction and analysis. This paper collects data on the closing price of seven stocks from January 4 to April 1, 2022, and then randomly generates 100,000 different investment portfolios through Monte Carlo method. The portfolios with the lowest volatility and highest Sharpe ratio are built using the mean variance model. The effectiveness of these three portfolios was evaluated with real daily returns from April 6 to May 11, 2022, after acquiring the weights of these equities, and it was compared to the performance of the CSI 300 in the same time frame. The result indicates that the minimum variance portfolio has the largest cumulative return, which exceeds the cumulative return of CSI 300 in the same period, while equally weighted and the maximum Sharpe ratio portfolios generate lower yields than the market level.

With the purpose of improving the optimal portfolio strategy of American listed companies, this paper studies the capital allocation of the investment subject under different models, and finally gives the portfolio countermeasures of the investment subject. This paper research the proportion of investment funds allocated by each company under three models: maximum Sharpe ratio model, minimum variance model, and equal weight model through returns of five companies from 2022-9-23-23 to 2023-2-15. It concluded that the allocation of MCD has the largest weight in maximum Sharpe ratio model and minimum variance model. Finally, the specific investment funds are calculated according to the calculated weight and the return rate from 2023-1-16 to 2023-2-15 and compared with the market data, discovering the conclusion that the equal weight model has the highest return, followed by the largest Sharp ratio model, the minimum variance model, and the market has the lowest return. The results verify the feasibility and effectiveness of the equal weight model in the portfolio and give the corresponding countermeasures and suggestions for investors to help them avoid risks and obtain the maximum returns in the financial market.