Articles

With the rapid development of technology, the digital economy has become one of the main drivers of global economic growth. However, it also brings a series of challenges and opportunities for sustainable development. This paper delves into the impact of the digital economy on sustainable development, analyses the challenges involved, and explores the potential opportunities for sustainable development in the digital economy. Firstly, the author sorts out the definition, scope, and development trend of the digital economy. Then, the application of digital economy in various fields is explored in detail, revealing its potential value in social, economic, and environmental aspects. However, the rise of the digital economy has also brought about a series of environmental, social, and economic challenges, such as e-waste, the digital divide, structural change in employment, and inequality. Meanwhile, this paper highlights the opportunities the digital economy presents for sustainable development, promoting environmental sustainability, social inclusion, and economic innovation. Through innovations in digital technologies, environmental issues are better addressed, socially inclusive growth is achieved, and economic innovation is driven. The article emphasises the positive interaction between the digital economy and sustainable urban development through case studies. It concludes with an outlook on the future trends of the digital economy and recommendations for integrating sustainable development concepts to ensure that the digital economy becomes a powerful enabler of sustainable development. Through comprehensive analyses, this paper aims to provide insightful perspectives on the relationship between the digital economy and sustainable development.

Tesla currently stands among the world's most prominent corporations, especially in the development of new energy sources and the automotive industry. With the company's growth rising, the value of its stock has become a major focus for investors. There are many ways to predict stock prices, but most of them are more subjective and based on personal experience, so the value of the reference is not great and varies from person to person. Therefore, this paper aims to investigate whether it is possible to analyze the price trend of Tesla's stock from the perspective of data through machine learning. The research will examine the stock price of Tesla based on the ARIMA-LSTM combined model prediction method to determine if this method can be applied to predict the stock price trend of Tesla and similar technology companies. Finally, after testing Tesla's stock data in 2019, it can be concluded that the machine learning prediction method based on the ARIMA-LSTM combination model is highly accurate and can be used to predict the future stock price trends of similar companies.

Since the COVID-19 occurs from 2020, global economy has a tremendes shrinking in amount and sphere, which brings business objects uncertain financial turbulence. Hence, corporate cash holdings are a concern by managers and investors as it represents the survival ability of companies. This study investigates information asymmetry and corporate cash holdings during COVID-19 pandemic period. After analyzing on large Chinese lised companies sample, we test two opposing hypotheses. According to free cash flow theory, cash flow declines further as the level of information asymmetry rises. However, considering profound event, companies may increase cash holdings for precautionary motive during a long time. As a result, using the difference-in-difference method, this paper finds a positive relationship between information asymmetry and cash holdings, while COVID-19 hurts cash holdings for Chinese listed companies. The robustness test also gains similar results. Overall, the results may support the agency theory and precautionary motives for holding cash.

since the eighteenth congress, the CPC Central Committee and the State Council issued "on further perfecting the central government scientific research project funds management policy several opinions" and a series of optimization of scientific research funds management policy documents, stimulate scientific research personnel innovation, but the financial reimbursement process and procedures are relatively complex, how to balance the free financial control and the contradiction between strict financial regulation is more and more prominent, increase the communication cost of scientific research personnel and financial personnel. Based on the background of"streamlining administration and delegating power", this paper takes the reimbursement of scientific research funds as the starting point, analyzes the problems of reimbursement of the department, discusses how to strengthen the reimbursement management of colleges and universities from the perspectives of financial personnel and researchers, and puts forward optimization measures, so as to improve the financial operation efficiency of colleges and universities.

The Russia-Ukraine conflict has triggered a global energy crisis, which has brought extensive and profound impacts on China’s energy development. This paper analyzes the impact of the Russia-Ukraine conflict on China’s energy industry, discussing the changes in the international crude oil and natural gas markets, the global energy restructuring, and the acceleration of energy transformation. In response to the energy market volatility that may be brought about by the conflict, the paper proposes strategies for China to cope with it, including diversifying energy supply, strengthening geopolitical risk management, and building an energy community. In addition, the paper analyzes Russia’s position in the international energy market and focuses on the impact of China’s crude oil and natural gas import costs, the stability of the energy supply chain, and Sino-Russian energy cooperation and investment. Finally, the paper emphasizes the importance of accelerating energy green and low-carbon transformation and building energy communities, providing ideas for the sustainable development of China’s energy sector. This paper figures out that China’s energy industry should adopt a more flexible and resilient approach to respond to unforeseen circumstances such as the Russia-Ukraine conflict.

Xiaohongshu, a rising lifestyle-sharing platform, has garnered significant popularity among femal. Despite recent controversies over false traffic, it remains a pivotal influence on femal’s shopping decisions. This study aims to explore why Xiaohongshu continues to be influential in the consumer decisions of femal after false traffic. This paper used a case study to analyze a survey of 200 femal from diverse backgrounds to understand their methods of gathering shopping information and making purchase decisions on social platforms, focusing on Xiaohongshu's unique attributes. First, the study reveals that enhanced, deceptive content on the platform frequently persuades women, suggesting a need for improved information authenticity, consumer education, and self-regulation in advertising. Secondly, digital influencers and trends heavily influence the platform's young audience, highlighting the importance of encouraging influencers to share genuine experiences over mere advertising. Lastly, the natural trust engendered by word of mouth (WOM) and user-generated content (UGC), critical features of Xiaohongshu, underscores the platform's strategy to bolster UGC and WOM credibility. In conclusion, Xiaohongshu plays a crucial role in the shopping decisions of contemporary female consumers, underscoring its significance in the social media landscape.

The financial market is the mechanism used to trade financial assets and determine their prices. The market system that is extensive is composed of multiple branches, including the securities market, stock market, fund market, and others. Due to the development of modern economy, financial mathematics has gradually become an important part of the financial market. By combining its own characteristics with modern science and technology, and exploring the securities theory of the financial market, financial institutions can obtain more precise data resources. Financial mathematics uses mathematical thinking and computer advantages to quantify the financial market. Then constructing mathematical models, analyzing the data, and calculating them, which is a significant way to promote the development of the financial market. This paper mainly explores the impact of financial mathematics on the financial market, with the aim of better promoting social development. In this paper, the method of literature analysis is used to investigate the influence and promotion of financial mathematics in the field of modern financial markets. The conclusion shows that financial mathematics is an important part of the promotion of the market and that this new discipline has unlimited potential.

With the development of technology, the Internet, and big data, all industries have gradually undergone digital transformation. Simultaneously, as transportation demand grows, digital and intelligent solutions have created new development potential for the railroad business. Huawei, a Chinese technolgy company, grasped the chance to enter the railroad sector and pioneered the development of the intelligent railway by combining digital and railroad technologies. This study uses ten pieces of literature and Huawei Intelligent Railway objects to look at how digitalization of the railway affects the environment, society, and government, as well as the effects of ESG theory and the SWOT approach. Finally, the examination of this research leads to the conclusion that Huawei’sbusiness model of digital technology-enabled railway helps the improvement of the environment, society, and government. As a result, it is possible to infer that successful digital technology empowerment benefits global development by promoting the betterment of the environment, society, and government.

With the development of the tobacco industry under the background of the digital economy, more and more tobacco enterprises have begun to pay attention to inventory management and introduce digital technology. The parts inventory management of tobacco enterprises itself has the characteristics of many types of equipment parts and complex management forecasts. Therefore, in the background of the development of the digital economy, reducing inventory costs, reducing inventory overhang, and improving enterprise profitability has become the top priority of tobacco enterprise management. This paper aims to analyze the practical problems of parts inventory management in tobacco enterprises. The main problems include complex inventory management, imperfect inventory monitoring and assessment mechanisms, unscientific traditional inventory forecasting methods, imperfect information construction, and difficulty in guaranteeing the quality of parts. Provide suggestions for improving inventory management ability. Tobacco enterprises should improve the parts inventory management strategy, optimize the parts inventory forecast, strengthen the information construction, improve the quality of the part and establish a sound monitoring and assessment mechanism.

This paper explores the transformative impact of big data technology on cross-border supply chain inventory management. In the era of globalization, supply chains face increased complexities and risks, particularly in cross-border logistics. Challenges include transportation uncertainties, delays due to long-distance transport, infrastructure disparities, and transparency issues. Integrating big data analytics offers a solution to these challenges by enabling predictive analytics for demand forecasting, inventory optimization, and risk management. This study highlights the role of big data in enhancing supply chain transparency, reducing uncertainties, and improving decision-making processes. Examples from JD E-commerce and NongFu Spring demonstrate the practical application of big data in optimizing inventory management and mitigating risks. JD E-commerce employs artificial intelligence and big data analytics for inventory management, leading to reduced turnover days and cost efficiency. NongFu Spring, on the other hand, uses big data for scenario marketing and supply chain optimization. The paper concludes that big data technology not only revolutionizes inventory management but also plays a crucial role in addressing risks in the supply chain, thus leading to more efficient, transparent, and resilient supply chains in the face of globalization challenges.

The establishment of diplomatic ties between China and South Korea dates back to 1992, marking over three decades of bilateral relations. The bilateral trade has generated fruitful outcomes between the two nations. In the background of the accelerated evolution of century-old transformations, profound changes are occurring in the global and regional economic landscape. During the post-epidemic period, China-South Korea economic and trade cooperation encounters numerous challenges, including structural adjustment and restructuring of industrial chains and supply chains. This paper based on the analysis of Sino-South Korea trade data by the Ministry of Commerce of China. Firstly, this paper introduced the "Trade Integration Index" to measure the level of trade interdependence between China and South Korea, revealing a significant degree of mutual reliance in their trade relationship. However, South Korea exhibits a higher degree of economic interdependence with China and relies heavily on trade. In recent years, the trade complementarity between China and South Korea has diminished while competition has intensified. By examining the global trade system, this paper conducted a comparative analysis of South Korea's import and export partners, revealing a significant reliance on China. Based on this, this paper puts forward some suggestions on Korea's trade deficit.

With the rapid development of the Internet and the widespread application of big data technology, the phenomenon of big data discriminatory pricing has gradually emerged and attracted widespread attention. In fact, the use of big data can have many beneficial effects, especially reducing transaction costs and providing convenience to consumers. However, big data discriminatory pricing harms the rights of consumers, not only violates consumers' rights to personal information, right to know, and right to fair trade, but also affects people's trust in the development of new technologies, which is not conducive to the development of the big data industry. This article analyzes the concepts, characteristics, properties, current legal regulations and regulatory dilemmas of big data discriminatory pricing, and proposes scientific and rational ways to improve supervision, complaint mechanisms, relevant laws and regulations and other methods to safeguard consumer rights. It is hoped that it can help standardize the current big data discriminatory pricing and provide guidance for future legislation.

Trade-off theory is one of the important theories for firms to adjust their capital structure. However, there is still controversy about its applicability in reality. This paper focuses on exploring its practicality by analysing the literature and after examining the literature on commercial banks in Bangladesh, it is found that the impact of different financial indicators of these banks on the changes in their capital structure is consistent with the assumptions of the trade-off theory, and it is reasonably argued that the reason why firms in reality tend to use debt financing can be explained by the fact that firms are trying to gain the advantage of the tax shield. The paper also analyses the change in firm value of firms with different debt levels about the September 11 terrorist attacks in the United States and demonstrates that firms with high debt levels experience a decline in firm value as their probability of bankruptcy increases, which is consistent with the trade-off theory. In addition, while the traditional view is that the trade-off theory can only explain why firms with higher profitability have high debt ratios, this paper argues that the theory can also explain why firms with high profitability have low debt ratios. Therefore, this paper proposes a reasonable explanation for the utility of the trade-off theory.

The blind box economics refers to a system where a product is enclosed within a packaging that remains sealed, so concealing its contents from the consumer. The method aims to captivate clients by generating excitement, motivating them to eagerly open the subsequent package following their purchase. The popularity of blind boxes is increasing worldwide, attracting a growing number of collectors within the community. This study analyzes the blind box economy, focusing on the product design's ability to generate excitement for customers. The study specifically highlights POP MART, a prominent company in this sector. During the study, the author emphasizes the significance of innovative product design, including conceptual elements, and enhancing customer experience in fostering consumer participation within the blind box community. The study delves into various domains of research, including community building, digital marketing, and limited edition releases. These examples illustrate the process of generating client desire and fostering future engagement. Primarily, it is necessary to examine the impact of market trends and client behaviors on the future economy of the country. The paper discusses the successful implementation of problems by POP MART and their impact on customers and businesses inside the blind box economy.

This paper embarks on an in-depth exploration of the distinct features within the realm of entertainment marketing, with a specific focus on scrutinizing the strategy selection and implementation effectiveness of Yili Low-lactose Nutrition Milk as a case study. By delving into a detailed analysis, the objective is to provide a comprehensive understanding of the potential influence exerted by entertainment marketing on both enterprise brand construction and the enhancement of market share. This research endeavors to offer valuable insights that extend beyond the surface, thereby contributing meaningful guidance for the future formulation of more innovative and efficacious marketing strategies. Through this examination, the paper aspires to shed light on the intricate dynamics and nuanced considerations that underpin the success of marketing initiatives in the contemporary business landscape.

Amidst the rising prevalence of mental health issues, this study critically examines the potential contribution of hospital construction to overall productivity. Utilizing a one-dimensional linear regression model, the paper draws insights from provincial panel data spanning the period 1996 to 2021, sourced from the National Bureau of Statistics of China. Additionally, robustness tests are conducted. This analysis aims to uncover patterns of heterogeneity across varying temporal, regional, and industrial contexts. The key findings of the study are as follows: 1. A positive correlation exists between the number of medical and health institutions in each Chinese region and the respective gross domestic product of that region. 2. The impact of the number of medical and health institutions on China's gross domestic product follows a descending order: the western region, the north-eastern region, the central region, and the eastern region. 3. The number of medical and health institutions in each Chinese region had the most significant positive effect on the gross domestic product after the 2008 financial crisis. The second-highest positive effect was observed before China's accession to the WTO in 2001, with no significant impact detected after the WTO accession or before the financial crisis in 2008. 4. The study reveals that hospital construction has the most substantial impact on the development of the service sector, the second strongest impact on the industrial sector, and the least impact on the agricultural sector.

In 2020, China achieved phased victories in poverty alleviation, bringing valuable successful experience to the world's poverty alleviation cause. Most prior research on recidivism and poverty alleviation in disadvantaged areas has either explored a small number of cases or concentrated exclusively on individual factors within poor households, failing to sufficiently account for regional variations. But historically, the majority of research on industrial integration and upgrading was focused on larger economies, giving impoverished regions little consideration. This paper randomly selects 76 poverty-stricken counties from 832 national poverty-stricken counties in China, and makes a quantitative analysis of their successful experience from the perspective of industrial upgrading and industrial integration. The study's findings deviate from earlier studies in that they show that industrial upgrading has a limited effect on the development of impoverished regions and that sophisticated industrial structure has a significantly smaller influence in poor areas than it does in areas with greater levels of development. This study also reveals that the development of impoverished areas is impacted differently by the integration of various businesses. The secondary industry, which has a higher degree of integration with the primary industry, plays a stronger role in promoting regional development, while the tertiary industry, which has a long development cycle and many conditions, plays a lesser role in regional development.

As the overall growth rate of China's e-commerce industry gradually slows down and enters a new stage of development, some market segments and e-commerce models have shown great potential and have attracted widespread attention. With its unique trading model and advantages, C2B2C has become the new darling of capital and the market. In this paper, the current application of the C2B2C model in China and the characteristics of the model are elaborated. Aiming at the application of this model in China's e-commerce market, this paper analyzes the characteristics and advantages of their respective C2B2C models by taking “Poizon” and “Zhuan Zhuan” as examples. At the same time, it also gives a reasonable conjecture and analysis of the future of this model in China. Through research, it is found that this model is fundamentally different from conventional C2C e-commerce and B2C e-commerce, and has huge advantages in some e-commerce market segments, and in the future, it is bound to have a broader market and recognition.

This paper investigates how German monetary policies affect the inflation, unemployment and real estate market issues during the COVID-19 period. Germany is the most important economy in the European Union and one of the countries in the euro area. Germany basically follows the various monetary policies promulgated by the European Central Bank. This paper will explore the impact of inflation, unemployment, and the real estate markets and the reasons for the failure of monetary policy since the goals set by the German monetary authority. The conclusion is that monetary policy is not the only factor affecting the economy, and political and external factors are other forces that determine the economy.

With the progress of society, people's lives have undergone great changes, and the sharing economy has also been widely used. The development of the sharing economy mainly comes from scientific and technological progress, social and economic change, environmental and sustainable development, and the transformation of the international economy. The sharing economy realizes the sharing of resources through the Internet to achieve sustainable economic growth and resource allocation, while also promoting the development of the environment. The sharing economy is a new product, that is developing but still has a lot of shortcomings, including legal and regulatory blind spots, information security not guaranteed, and expansion of products and scale. If the sharing economy wants to achieve sustainable development and healthy development, it needs to improve and innovate to the existing degree and take the road of sustainable development. This paper uses the literature analysis method to study the development status of the sharing economy through the Internet and the existing difficulties of the sharing economy, in addition to the current development status of the sharing economy model, unsolved problems, and countermeasures and suggestions for future development. The development of the sharing economy requires the joint efforts of the government, the platform, and the copper pot to promote the sustainable development of the sharing economy industry. In addition, in the future, the sharing economy is expected to continue to expand, with continuous improvement and innovation to make sharing more convenient and efficient, and can well meet customer needs.