This research delves into the demographic transitions and their economic ramifications in China by critically analyzing the causes, scale, and impacts of population ageing, along with potential strategies for mitigating its challenges. Recognizing the significance of demographic ageing as a global phenomenon, the paper contextualizes China's ageing population within an international framework, drawing on empirical data and statistics. The analysis investigates the driving factors behind China’s ageing populace, evaluating whether it is an inherent byproduct of economic progression or if it is influenced by additional determinants. Subsequent segments of the study appraise the multifaceted effects of demographic ageing on China's economic landscape and societal structures, encompassing both advantageous and detrimental aspects. To broaden the scope, this study includes an examination of the outcomes of population ageing in other nations, which serves as a reference point for envisaging prospective trajectories for China. Conclusively, the paper proffers recommendations and potential strategies aimed at alleviating the adverse impacts and proactively addressing the challenges posed by an ageing population.
Utilizing Monte Carlo Simulation and annualized data, this paper investigates portfolio establishment with currency, comparing the performance of the portfolio with the performance of equity. Specially, we choose S&P 500 to represent equity, while choosing Gold futures, Bitcoin, and CHF to represent different types of currency. Firstly we use Python to help us do the initial simulation of one million portfolios, analyzing the result of the simulation based on sharp ratio with Excel. We find that there are some regular patterns in the asset allocation of the portfolio and explain the appearance of the strange angle in our simulation. Then to increase the market shares of currency, we advocate adding an extra yield to the currency's annualized return and doing another two simulations on the four assets with a new annual rate of return. We then compare the results of new simulations with the performance of the initial simulation and S&P 500, finding that with extra yield it will be more easier for the portfolio including currency and equity to perform better than initial portfolios. We also find that the regular pattern of asset allocation which is discovered from the initial simulation is inapplicable in new simulations.
With the development of the Internet and the continuous innovation of science and technology, it is more and more convenient for people to communicate on the Internet. The Internet provides people with a variety of social platforms and channels to learn about various brands. At the same time, in order to meet the trend and people’s preferences, many brands have also innovated their marketing methods and strategies. With the increasing pressure of study and works, coffee has gradually become an indispensable refreshing drink in people’s life. The competition between different brands of coffee in the coffee market is becoming increasingly fierce. Starbucks, as a world-famous coffee brand, has a noticeable influence in the coffee market. Starbucks is a world-renowned coffee chain brand with a large number of customers and followers around the world. Since its establishment, Starbucks has achieved great success in marketing and has attracted many fans, and its brand awareness has also been significantly improved. However, how to improve the sales of coffee and how to play a leading role in the coffee market requires Starbucks to formulate and implement the most suitable marketing strategy. This essay mainly analyzes the marketing strategy of Starbucks from the aspects of brand value, customer portrait, competitors, marketing status, etc. This paper uses SWOT theory, and 4P theory tools to analyze Starbucks’ marketing data and marketing reports, and discusses Starbucks’ strengths, weaknesses, opportunities, threats in the coffee market and the reasons for its success in the coffee market.
The development of green finance by commercial banks is a key way to achieve the goal of "carbon peak and carbon neutrality" in China. This paper uses entropy method to collect data from the social responsibility report and annual report of commercial banks, establishes the green ecological innovation index of commercial banks, and evaluates the development of green finance of commercial banks in recent years, and finds that the development of green finance of Chinese commercial banks is on the rise; In terms of organizational innovation, the management policies and full-time institutions of commercial banks have been continuously improved, but many banks still need to pay attention to the construction of management systems related to green finance. In terms of product innovation, the score of ecological innovation of commercial banks' products continues to rise significantly, and the green financial products of commercial banks continue to be abundant, but the products in the field of carbon finance are relatively simple. In terms of cultural innovation, banks still need to strengthen special training on green finance and deepen the concept of green development.
As a matter of fact, with the rapid development of the computation ability and data delivering, the big data analysis becomes a common tool to realize the predictions. With this in mind, this paper focuses on the impact of big data analysis on sales forecasting, starting with an introduction to the present-day context and significance of sales forecasting and some of the forecasting scenarios implemented by previous generations based on machine learning. After introducing these backgrounds, we start to introduce big data analysis and its impact on sales forecasting. According to the analysis and the summaty of the previous experience, we introduce the commonly used models, the parameters of the models, and the evaluation of the models as well as the application scenarios, and the specific application results. Finally, we demonstrate the limitations as well as future perspectives of big data analysis and sales forecasting. Overall, these results shed light on guiding further exploratio of bigdata analysis in sales prediction.
Real Madrid's profitability continued to grow during the epidemic period, making it a rare club in Europe to still be profitable during COVID-19. Based on this event, the purpose of this exploration was to exploare what kind of management style and business strategy Real Madrid used during the epidemic period of 2019–2022. Using Real Madrid as a case study, this paper analyzed the information sources applied to Real Madrid's revenues in different aspects as well as Real Madrid's business formula. The first reason was Real Madrid's market management philosophy, and the corresponding recommendation was to increase fan loyalty by strengthening the development of the players and improving the rights of the fans, along with digital marketing tools. The second reason was Real Madrid's excellent youth training system, and the corresponding recommendation was to make more use of modern data analysis systems to track the development of each player. The third reason was Real Madrid's team culture, and the recommendation was to utilize the celebrity effect to promote the team's culture. The main objective of such an exploration was to help national soccer clubs learn from Real Madrid's successful management model to improve their profitability.
With the rise of short video platforms and the onset of the post-copyright era, the digital music industry is undergoing significant transformations. The competition within the industry has intensified, while user growth and conversion to paying users have encountered obstacles. As a leader in China's digital music industry, it is worth exploring how to overcome these challenges and identify new areas for growth. This paper employs literature research, case analysis, data analysis, and other research methods. Firstly, it analyzes NetEase Cloud Music's profit model based on subscription payments, advertising revenue, and sales of virtual items outlined in its prospectus. Secondly, it utilizes authoritative industry research reports to analyze NetEase Cloud Music's user positioning, consumer profile, and partnerships, simultaneously examining their marketing strategy through a case study involving Hangzhou Metro's collaboration with NetEase Cloud Music, known as "Reviews Train." By analyzing structural changes in financial data disclosed in annual performance announcements, this paper examines the impact of marketing strategies on revenue growth, cost control measures, and profitability, as well as explores how adopting diversified market strategies can enhance risk management capabilities and improve financial stability. Finally, this paper presents corresponding countermeasures and suggestions based on identified issues from previous analyses along with future prospects.
Faced with the convenience of the internet, people begin to rely more on the broad internet and the leisure it brings, allows people to transcend the limitations of time and space, experience and share exciting cultural, sports, artistic and other activities from around the world together. Network broadcasting has blossomed in recent years, from the earlier game broadcast, singing, and dancing to recent years where every event – no matter how big or small – has the chance to be broadcasted. Following the sudden outbreak of COVID-19, live streaming has been integrated into almost every person’s lives. With the increasing popularization of an online lifestyle, live broadcasting has gradually integrated into everyone’s life. Through research and analysis, this paper aims to probe into the impacts and problems of the live-streaming industry, exploring its development since the pandemic and analyzing its main competitors and its future.
Accurate forecasting of the RMB exchange rate is crucial for global financial market participants. This study proposes a Bayesian quantile regression approach to enhance the forecasting method. This paper uses RMB and US dollar exchange rate data from the State Administration of Foreign Exchange from 2018 to 2022 to build a Bayesian quantile regression model and empirically analyze the RMB exchange rate forecast. The results show that the proposed Bayesian quantile regression model yields accurate forecasts, with a root mean squared error (RMSE) of 1.8329 and a mean absolute error (MAE) of 1.2988. Furthermore, robustness and sensitivity analyses confirm the model's reliability. The findings of this study have practical implications for financial market participants and policymakers in managing and responding to foreign exchange risk.
After the extensive and thorough cleanup and overhaul of the Chinese stock market in 1995, there followed a period of remarkable and noteworthy development, which was accompanied by an equally steady and stable growth of the Chinese economy. In the current economic climate, characterized by favorable conditions, shareholders' demand for energy conversion stock prices has become increasingly intense, thereby necessitating the intervention and involvement of financial ratios in regulating and modulating stock prices. This academic paper will employ a number of analytical tools and techniques, such as literature analysis and case studies, to examine the correlation between financial ratios and stock prices in China. The focus will be on the financial, pharmaceutical, and real estate industries, with particular attention paid to stable economic environments. The findings and results of this study have established that in a stable economic environment in China, the different financial ratios are highly adaptable and malleable to different industries when analyzing stock prices.
Public hospitals in China have a complicated internal structure with a sizable number of members and a strict management system. Human resource management plays an important part in the management of modern public hospitals, which also serves as the primary management component for efficient internal management. At the same time, in the context of strategic human resources management, the AMO theory has gradually entered the management of public hospitals. Based on a brief overview of human resource management in modern public hospitals, this study adopts the AMO theory (abilities, motivations, and opportunities) perspective in analysing the problems and challenges faced by the human resource management strategy in modern public hospitals, and exploring how human resource management in modern public hospitals should play an effective role based on the AMO theory. Based on a detailed and targeted analysis of the contents of the challenges, theoretical and practical support for the development of modern hospitals and the orderly conduct of internal management is provided.
Many of the world's semiconductor R&D, production and manufacturing technology companies are going public in the US, hoping to leverage the power of US stock market capitalization to promote their own companies and industries. Valuation of the semiconductor industry is therefore essential. This study evaluates US-listed semiconductor companies based on portfolio principles with an enterprise value greater than $50billion. In the benchmark portfolio, individual stock’s weights are assigned in accordance with the enterprise value weighting and a number of indicators are calculated based on fundamental data for comparison with the forecast portfolio. The paper uses absolute and relative valuation methods to value the forecast portfolio, and compares with benchmark portfolio on the derived results. Finally, conclusions and future investment outlook are drawn from the results of the comparative analysis. According to the analysis, investing in the semiconductor industry is a good choice. In fact, not only can investors share in the huge profits from the rapid development of the industry, the semiconductor industry itself can also benefit from the strong capital market, which is something that complements each other. These results shed light on guiding further exploration of valuation analysis of semiconductor industry.
Inventory management plays a pivotal role in modern business operations, impacting operational efficiencies, financial security, and competitive advantages. This essay explores the multidimensional field of inventory management, delving into seminal research articles. It shows how accounting methods and strategic decision-making interact, shaping operational pathways. Operations research guides inventory management strategies' effectiveness assessment. Creating a culture of continuous improvement based on empirical observations is equally crucial. Innovations, like structured Markov Decision Processes (MDPs) with convex cost functions, bridge theory and real-world applications. The essay also examines forecasting errors' implications when relying too heavily on predictions, highlighting optimal control techniques as resilience tools in volatile environments. Contemporary inventory strategies balance precision and adaptability, focusing on supply/demand synchronization. Empirical case studies exemplify efficient responses to market changes. Variability management in inventory frameworks offers insights into resource allocation across diverse product lines. Lastly, the essay deconstructs the strategic implications of asymmetric sales changes on inventory strategies. In a globalized, technologically dynamic age with shifting market forces, prudent inventory management is imperative. This essay showcases its significance with empirical wisdom and academic rigor, illuminating quantitative precision, strategic insight, and operational excellence in modern business environments.
While the bond market is continuously developing and growing, the risks behind them are becoming more and more prominent. Since the bond market broke the rigid payment in 2014, the amount and quantity of bond defaults have been increasing. The decline is to show the characteristics of high credit rating, state -owned background enterprise, and multi-industry diffusion. The occurrence of bond defaults has brought different degrees of damage to related entities. This has a great risk for the bond market. Therefore, in this context, how to effectively deal with the impact of bond default risks on enterprises and conducts empirical analysis on the basis of this is a major problem. This article analyzes the causes of bond default from the perspective of breach of contract, and according to the reasons, the solution to risk management is proposed, including macroeconomic regulation and specific measures.
This paper empirically analyzes the impact of executives' reduction on stock price by taking the listed companies on Chinese GEM as research samples. The results show that the behavior of senior executives reducing their holdings will significantly reduce the stock price, and the effect changes in an inverted U-shape with the proportion of stocks reduced. Further research shows that for the companies with higher earnings per share and absolute price, the behavior of executives reducing their stock holdings will do more harm to the stock price.
International education cooperation is conducive to promoting the cross-border circulation of advanced educational experiences and enhancing global human capital. China has become the main destination for students from developing countries, and how to better carry out international cooperation programs in Chinese education has become an important issue. This paper focuses on international cooperation in the field of vocational education and takes a vocational college in China as a case to explore the performance of different international cooperation modes between China and developing countries. The study did a within-case design, and three projects representing three modes of cooperation were selected for comparison. The article believes that the key to success lies in the design of cooperation, and those projects which closely integrate local industries, colleges and students will thrive and prosper. The article answers the question of how international cooperation in vocational education should be carried out.
Due to the large amount of funds involved, the large number of participants, and the complicated projects in the construction industry, it is difficult to improve work efficiency. The block chain technology, by which the data cannot be tampered, is decentralized, and intelligence contracts can be applied, so it provides a new way for the construction project management. This article analyzes the current situation of construction project management, points out the current problems, and discusses the application of blockchain technology in the management of construction projects. Finally, it takes the construction fund management blockchain system of Xiong'an New Area in China as an example, to discuss the application prospect of block chain technology in construction project management and the problems that remain to be solved.
Globalization refers to the cross and cultural dissemination of commodities, finance, technology and information in various countries, which will make various countries more connected to each other, and within economic point of view globalization will increase the connection between countries, international trade, business /financial cooperation and mutual influence in politics. The further increase in international trade not only increases the global interconnectivity and interdependence, but also has a great impact on UK's domestic economy. This article will take a look at globalization and international trade with China, discussing exactly how China is affecting the UK economy and the future of international trade with China.
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.
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.