China's official media business model transformation pressure is increasing day by day. The contradiction of the binary system business model is becoming increasingly prominent. Official media need to take into account the goals of ideological propaganda, commercial operation, and improving profitability. Against this background, subcultural capital has become the favored breakthrough of traditional media. Cultural capital and subcultural capital, as a kind of resource that can be invested in and reproduced, reveal the internal logic of the subculture industry and provide a new perspective for people to study the effect of subcultures on the operation of official media. This paper uses the economic management model SWOT-PEST mode analysis model to explore the impact of subcultures communication on the operation of China's official media, as well as the advantages, disadvantages, opportunities, and threats brought by cultural communication in the political, economic, technological, and social environment. This paper tentatively puts forward the concept of “mainstreaming of subculture” and probes into the contradiction between official media's subcultural capital investment and the development path of subculture itself.

In recent years, with the improvement of people's living standards, e-commerce has gradually emerged, gradually replacing the traditional brick-and-mortar store-based shopping method. As a new way and business model, online shopping aims to realize the electronization of all links of trade activities and the unification of online business flow, logistics, capital flow and information flow. This kind of shopping pattern is the main development direction of future trade. Through questionnaire survey, comparative analysis and literature review, this paper summarizes the characteristics, advantages and disadvantages of two different shopping methods (online shopping and offline shopping). Then, combine the advantages of the two shopping methods to provide merchants and consumers with different solutions and suggestions.

The research background is that the search field is gradually becoming a hot object on the internet and can be combined with a very wide range of fields to produce marginal effects. The research optional of the article is analyzing the disadvantage of SOGO and the advantage of Tencent. The study content is that what trouble are SOGO face and how SOGO cope with the dilemma, how Tencent solves the single revenue structure and develops the search area. The purpose of the article is that explaining Tencent's motives for acquiring SOGO and what benefit SOGO can take to Tencent. The key findings of the article is that Tencent acquires SOGO can help Tencent develop AI area. The research significance is that inspiring people to think that Tencent's acquisition of SOGO should not only be limited to search area, but also expand horizons into the field of AI. Investors can keep a positive position of the future of Tencent.

In today's fast-paced economy, an increase in income frequently results in improved educational resources. This paper employs an OLS model to examine the relationship between household income and educational attainment. Experiments were conducted with control variables and other steps using data from the 2018 China Family Panel Survey (CFPS), and the results revealed a positive coefficient on the household income variable, providing preliminary evidence that household income has a positive effect on educational attainment, i.e., an increase in household income results in a significant increase in an individual's educational attainment. The purpose of this study is to analyse income and education levels based on individual and household data, to examine the educational base required for future social development, to lay the groundwork for future research, and to suggest that future policies should pay more attention to the distribution of educational resources, as improvements in household conditions can lead to some households falling short of predicted educational levels due to the unequal distribution of educational resources.

With the rapid popularization of the mobile Internet, the user scale of the short video market continues to grow, and the industry competition is fierce. Nowadays, short videos have been deeply integrated into people's entertainment life. As the head platform in the short video market, Douyin has developed rapidly in recent years and occupies an unshakable position in the global market. This paper first discusses the competitive environment of the short video market when Douyin has launched and the current development status of short video platforms at home and abroad. Secondly, it deeply analyzes Douyin's competitive business strategy in the homogeneous market. Then, based on the SWOT model, the core strategy of Douyin is studied in depth. Finally, it summarizes the reasons why Douyin stands out in the fierce competition environment of the short video industry and makes suggestions for the future development direction of Douyin. This study finds that high-quality content, powerful technology, and innovative business are the basic elements of competition in the short video market, pointing out the direction for the development and foothold of other short video platforms and related industries.

This research paper focuses on providing a comprehensive understanding and introduction to the VIX index. The history of the VIX index, its applications, and related products are systematically analyzed. It also derives the formula for the VIX Index (the volatility index introduced by the CBOE) using the standard deviation formula. A detailed explanation includes example data using Excel to calculate the VIX index for a particular day, an analysis of the error scenarios generated, and ways to improve it. Studying the VIX index helps us better understand today's financial investment situation and analyze investments in a case with VIX index criteria.

The subprime crisis of the late 2000s had a profound impact on the global financial system, triggering an economic downturn of unprecedented magnitude. This paper provides a comprehensive analysis of the causes, consequences, and lessons learned from the subprime crisis. The crisis emerged from a combination of factors, including the expansion of subprime mortgage lending, relaxed underwriting standards, and the bursting of the housing bubble. Financial institutions eagerly pursued higher profits by issuing mortgage loans to borrowers with questionable creditworthiness, leading to a surge in loan defaults and foreclosures when the housing market collapsed. The consequences of the crisis were far-reaching. It resulted in widespread financial turmoil, with significant losses incurred by interconnected institutions worldwide. The global economy experienced a severe recession, characterized by high unemployment, declining consumer and investor confidence, and disruptions across various industries. The subprime crisis highlighted critical weaknesses in risk management practices, regulatory oversight, and financial market mechanisms. However, it also served as a catalyst for reform. Policymakers implemented measures to strengthen financial systems, enhance transparency, and improve risk assessment and management. Revisions to regulatory frameworks, stricter stress testing, and reinforced consumer protection measures were among the responses.

Many factors affect consumers' purchase intentions, such as the price of products, consumers' trust in brands, the quality of branded products, and consumer perception. However, there is no unified theoretical framework to define a specific method to guide consumers to generate purchase intentions for specific brand products. In order to explore this still ambiguous field, this study uses the literature research method and collects and analyzes data on consumers’ willingness to pay for premiums, data on the influence of trust on consumers’ purchase intentions, and brand product quality by looking at four important factors that affect consumers’ purchase intentions. The multiple regression results of several relevant parameters, and the data analysis of multiple factors within the range of consumer perception. The results show that: most consumers can accept a certain degree of a price premium; consumer trust has a great influence on consumer purchase intention and brand product quality is the most influential factor affecting consumers' purchase intention. Finally, multiple subdivided factors in consumer perception showed a high degree of consistency, indicating that consumer perception is not a vague and broad concept.

In the development of the sports goods industry, marketing, as an important management tool, has a significant impact on the growth of businesses. Not only can a solid marketing plan provide a thorough sales network and system for the sporting goods business, but also solve the problems of product sales and fund recovery for enterprises, laying a solid foundation for their development. The consumption of sports goods has shown increasing business opportunities in today's rapidly developing economy. The sports goods industry is also seeking development in this market with expanding demand, and many international brands stand out in the fierce competition. Nike, founded in 1972, has become a leader in sports brands today. Nike's unique marketing strategy is the key to success. Nike's marketing strategy has important guiding significance for the development of the sports goods industry. This article takes Nike as an example, analyzes the impact of Nike's marketing strategy on the sports goods industry, discovers innovative points of Nike's brand marketing strategy, explores key factors for the success of the marketing strategy, and provides effective references for the sports goods industry.

China's dairy industry has experienced rapid development in recent years, primarily due to the country's growing population and improved living standards. Dairy products have become an essential part of people's daily lives. The leading companies in focus are Mengniu and Yili. This article provides an in-depth analysis of China's dairy industry, focusing on the leading companies Mengniu and Yili. The industry has experienced rapid development due to China's increasing population and improved living standards, with dairy products becoming an indispensable part of daily life. The article examines the size and value chain distribution of the industry, which is dominated by brand manufacturers, and analyzes both the supply and demand sides. The per capita consumption of dairy products is increasing, and high-end liquid milk is gaining popularity. With a valuation analysis using the comparable company valuation method on Mengniu and Yili. The article provides a detailed analysis of the size and value chain distribution within the industry, which is predominantly led by brand manufacturers. Both the supply and demand sides of the dairy products have been examined. Per capita consumption of dairy products is continuously increasing, with a growing popularity of high-end liquid milk. Despite facing challenges, the dairy industry in China has enormous potential for growth. These results shed light on guiding further exploration of Yongsheng Yang, Understanding the development of China's dairy industry.

Crowdfunding has emerged as a popular method for financing innovative projects. This study examined the impact of six basic theories of finance on the success of Kickstarter crowdfunding projects in the creative and innova-tion categories, with a funding goal between $10,000 and $1,000,000. Col-lected data on a sample of 5,270 successfully funded projects and used web scraping techniques to extract the relevant information, along with conduct-ing interviews with the project creators to gather additional information. The six basic finance theories were operationalized as time value of money, risk and return, diversification, asset allocation, market efficiency, and behavior-al finance. Used a multiple regression model to analyze the data and found the time value of money, return, diversification, behavioral finance, and as-set allocation have a positive impact on the success of crowdfunding, while risk and market efficiency have a negative impact on the success of crowd-funding, albeit weak. This study contributes to the existing literature on crowdfunding and provides insights for project creators and investors on op-timising crowdfunding success.

Asset pricing theory has been a key area of research in finance. Since the in-troduction of CAPM, asset pricing models have been very widely used. Re-searchers have discovered many phenomena that cannot be explained by the CAPM model, so they have made many refinements to the asset pricing model and developed various improved versions that can better explain stock returns. The Fama and French three-factor model (FFTFM) and the five-factor model (FFFFM) are two of the most classic and most used asset pricing models. However, as time goes by and financial markets continue to evolve, many scholars have questioned whether traditional asset pricing models are still valid. Starting from the theoretical explanation of CAPM, FFTFM, and FFFFM factor selection, this paper uses the stock market data from 2000 to March 2023 to divide stocks into six portfolios based on their size and book value and conduct regressions according to the above three models respectively to evaluate and compare the recent performance of these models. In addition, this paper also performs separate regressions using data from the novel coronavirus epidemic period in particular to verify the robustness of the model to different market environments. According to the results of this paper, the FFFFM model has the best explanatory power. The role of the factors in the model on stock returns varies with portfolio selec-tion, i.e., firm size and book value, and the market environment also has an impact on the significance of the factors, leaving room for improvement in the model to cope with particular markets, but overall, FFFFM is still effec-tive in explaining present market stock prices.

With the development of artificial intelligence technology and the promotion and application of industrial robots, it has had a profound impact on economic behavior and reform, as well as on the job market. As an important part of the labor market, the impact of AI and industrial robots on the employment situation of college students is also a topic worth studying. This paper investigates the impact that AI and industrial robots will have on the overall employment number as well as the employment number of college students through the data of the employment market in 30 Chinese provinces from 2015 to 2019 with the OLS and fixed effect model. The empirical research results prove that the development of AI technology and the promotion and application of industrial robots will have the impact of the promotion effect on the overall employment number as well as the employment number of college students.

The emergence of big data has brought many opportunities to all walks of life, but it also faces enormous challenges. In order to improve the competitive power of international trade, companies need to actively respond to the development trend of large data, the advantage of the characteristics of big data, raising the level of competition in international trade, improve the international marketing strategy, promote the all-round development of international trade and industry. With the technical support of big data, we can dig deep into data information, gain insight into consumers' buying behavior, and inject innovative power into the marketing of enterprises. Combining big data technology with a marketing strategy can also help enterprise marketers to adapt to the market development trend, collect data, analyze data, reduce risks, and enhance the quality of enterprise development. The advent of big data has brought about significant changes in the field of international marketing, forcing companies to adapt their marketing strategies to suit the new realities. This paper examines the challenges faced by international trade in the era of big data and explores how companies can transform their international marketing strategies to take advantage of the opportunities presented by this new technology. The paper concludes that companies that are able to harness the power of big data will be better positioned to compete in the global marketplace.

Supply chain finance is an organic combination of the logistics industry and the financial industry. The two promote each other and develop together. This paper focuses on the general steps of strategic research, puts forward the basic concept of supply chain finance, and analyzes the development status and main problems of JPMorgan Chase Bank’s supply chain finance business. Through the construction of the SWOT model, the advantages, disadvantages, opportunities and challenges of JPMorgan Chase Bank’s development of supply chain financial business are carefully studied, and the optimal strategy for the development of supply chain financial business is proposed. For the supply chain business in JPMorgan Chase’s SWOT analysis model derived aggressive strategy, JPMorgan Chase’s disadvantages and advantages in the global market have distinctive characteristics, such as an international competitive advantage and a mature product line, suitable for JPMorgan Chase to open the market quickly, while the lack of overseas advantages makes JPMorgan Chase must segment the market and implement differentiated competitive target customer selection strategies, etc.

Due to changes in the times and consumption patterns, online shopping has become more and more popular, which has spawned the Internet Celebrity economy. Compared with general online stores, stores derived from the Internet Celebrity economy have different characteristics, such as targeted marketing and low product inventory. However, Internet Celebrity stores still have many shortcomings. These shortcomings can damage consumer rights. This article takes Shisanyu as an example to discuss the management problems of shops derived from the Internet Celebrity economy and the consequences of the problems. Finally, it analyzes the reasons why this type of store has many problems but is still popular, and gives how this type of store needs to be improved.

China's digital economy is expanding rapidly, and its relationship to carbon emissions is a frequent topic of discussion. To study this topic, we chose 30 provinces, except Tibet, Tai Wan, Hong Kong, and Macau, found data related to the digital economy from China Statistical Yearbook and sorted them to panel data. Based on these provinces' panel data from 2009 to 2019, this essay uses a multiple regression analysis model to examine how the digital economy affects carbon emissions, and divides the 30 provinces' data into two groups by time to study the impact of the digital economy’s development in carbon emissions. In this process, we use STATA. In this paper, we choose software industry investment and the number of Internet access ports as two quotes from the digital economy because the digital economy relies heavily in the Internet. From the model, it is clear that the digital economy can help decrease carbon emissions, and by analyzing the first 5 years’ data from 2009 to 2014 and the data from 2014 to 2019, we found that carbon emissions may rise with the development of digital economy, but as it continues to develop, this effect will disappear. In the end of this paper, based on our findings, we suggest government enlarge the investment in developing digital economy-related industries such as the software industry and the information transmission industry.

With the gradual improvement of China's overall economic level, the per capita disposable income of Chinese families has also increased. This article hopes to take the luxury brand Swarovski as an entry point, and study its influence on Chinese college students' purchase intentions from the perspective of its brand image. And this paper results of the elements of "luxury brand", in order to summarize the influence of the elements of luxury brand on consumers, and provide theoretical guidance for the future research direction of luxury goods. This article is based on the use of a questionnaire survey, the authors found that 68% students positioned Swarovski as a luxury brand, and nearly half of students believe that Swarovski`s strength lies in the variety of styles. This article believes that Swarovski's brand image has a positive correlation with the consumption behavior of university students, that is, the higher the brand image, the more consumption behavior of university students. However, due to the limited economic strength of university students, the premise of the above conclusion is that Swarovski still maintains relatively low prices for the public. At the same time, as a brand, Swarovski should have a reasonable and effective product marketing strategy, but while establishing a brand image, it should also control the quality of its products and let consumers know whether the products they purchase are truly what they want.

Didi Dache and Kuaidi Taxi were listed in Beijing and Hangzhou in September and August 2012, respectively, and after a fierce game, the two companies announced their merger on February 14, 2015. This paper uses the case analysis method to analyze the competition and development prospects of the ride-hailing market by taking the merger of Didi Dache and Kuaidi as an example. The study found that Didi Dache and Kuaidi Taxi, as leading companies in the ride-hailing industry, grabbed most of the market share. The merger of the two companies is conducive to integrating market resources and improving resource utilization; Effectively accumulate funds and reduce the pressure of listing; Avoid strategic mistakes and avoid operational risks. In the future development, Didi Dache and Kuaidi Taxi should strengthen market supervision and put an end to providing services at unreasonable low prices, bundled sales, price discrimination, etc. In addition, the two companies should strengthen the screening of drivers, arrange training on time, improve driver service awareness, improve customer experience, and promote the sustainable development of the ride-hailing industry.

In January 2022, Microsoft stunned the public by announcing that it would acquire Activision Blizzard for $68.7 billion, a move that would radically change the gaming market. Through SWOT analysis, this paper analyzes the advantages and disadvantages of Microsoft and Blizzard, as well as the opportunities and threats brought by the acquisition. The study found that while Microsoft has mastered core technologies in cloud computing, it is in a weak position to compete for the top spot in the global gaming market, with xbox selling far fewer games and exclusives than its rivals SONY and Nintendo. Activision Blizzard is a leading game manufacturer with a mature game production studio and a large player community, which maintains efficient and high-quality game output all year round. The combination of Activision Blizzard and Microsoft will bring more game choices to Xbox players. This acquisition is conducive to the integration of the metacomverse industry chain and brings Microsoft a huge profit opportunity, but at the same time it faces the liquidity risk caused by the failure to complete the acquisition.