Proceedings of the 2nd International Conference on Financial Technology and Business Analysis
Javier Cifuentes-Faura, University of Murcia
In China, school enrollment district segmentation changes often raise fluctuations of housing market. Once a house is segmented into a popular school district, its price will immediately skyrocket. To curb the hidden educational inequality caused by this phenomenon, many Chinese cities, including Beijing, are attempting to ‘cool down’ school district housing by adjusting existing school district segmentation. This paper aims to verify the impact of school district segmentation changes on housing prices in selected districts of Beijing. Through time-varying difference-in-difference method, this study found no significant correlation between the changes in school district segmentation and the fluctuation of housing prices in different administrative districts in Beijing. This study is significant for understanding the housing market situation in Beijing and the real-world effect of school district segmentation changes. Policy makers should take housing market prices into consideration when making school district policy decisions and make further researches to investigate the effects of new school district segmentation on neighborhood-level housing prices.
The expectancy theory is a tool that is widely used by companies around the world. Through a well-established reward system, employees put more time and effort into their work, knowing that they will be rewarded for their efforts. However, Nsofor found that each employee is motivated in a different way. A large part of employees are not suitable for implementing the expectancy theory. Therefore, this paper focuses on the application and limitations of expectancy theory in organizations. This research found that expectancy theory is limited in scope, does not include other factors explaining motivation, and is only limited to material reward. Also, expectancy theory can only be applied to performance that can be easily measured. This research paper demonstrates the credibility of the above viewpoints through different case studies. This paper can also enhance cooperation’s understanding of expectancy theory.
Public aviation transport plays a vital role in the comprehensive transportation system of a country. To ensure the healthy development of the public aviation transport industry, the government has implemented a series of subsidy policies. Evaluating the effectiveness of these subsidy policies is of significant importance for the economic and social development of regions and the improvement of people’s quality of life. This paper empirically analyzes the effects of subsidy policies on regional aviation routes using a multi-period Difference-in-Differences (DID) model based on data spanning from 2009 to 2019. The research indicates that subsidy policies have a positive feedback effect on the public aviation transport industry and are likely to continue producing favorable outcomes. However, there are regional variations in the responses to these policies. Furthermore, considering the current policy landscape and research findings, this paper offers recommendations for optimizing subsidy policies, providing valuable insights for policy decision-making.
Behaviour finance gained more and more weight in the development of finance theory in comparison to standard finance theory which is dominated by the efficient market hypothesis. As a field of behavioural economics, it combines psychology and finance to understand how human behaviour and cognitive biases impact financial decision-making. Some market anomalies which seem strange or impossible according to standard finance theory can be understood and explained with the help of behavioural finance theory. Through analysis and literature review, this paper explores the common expressions of irrational behaviour such as representativeness, herd effect, anchoring, overconfidence, and their effect on the investment financial market. This paper finds that people can be easily influenced by any given information. Individuals’ personalities and social backgrounds also play a decisive role in making investment decisions. Therefore, some possibilities and advice to reduce the losses caused by human cognitive biases are also provided in the paper.
A prominent American electric vehicle and renewable energy company, with a history of leadership and innovation in the automotive sector, Tesla has consistently pioneered advancements. This study explores Tesla’s synchronization of online and offline marketing tactics, and probes how Tesla’s dual marketing approaches, online and offline, complement each other through employing a case study method, which encompasses distinct brand positioning, emphasis on digital and regional strategies, active social media integration, seamless online-offline interplay, and varied advertising methods such as word-of-mouth and pricing techniques. Tesla’s robust collaborations within the supply chain further fortify its competitive standing. The findings sustain Tesla’s market leadership and hold broader implications. They contribute to heightened market competitiveness, shed light on marketing models for emerging markets, reveal the potential of digital marketing, and even inspire the transformation of traditional automotive business practices. Today, Tesla cars already occupy a very high market share. Compete in the market through several different strategic approaches. Now people need to study what kind of model and supply chain can make this brand popular and successfully pay for it.
As an “infrastructure industry”, the pharmaceutical industry is related to people’s livelihood and social stability and is one of the pillar industries of society. With the in-depth advancement of various medical policy reforms since 2021, the scale of China’s pharmaceutical market has continued to rise, and the revenue and profit of the pharmaceutical industry have maintained steady growth, so the industry still has outstanding growth advantages. Based on the pharmaceutical industry, this paper selects Guangzhou Baiyunshan Pharmaceutical Group as the research object, takes the company’s financial data from 2018 to 2022 as the basis, conducts a comprehensive study on the company’s operating conditions based on DuPont analysis, and finds that Guangzhou Baiyunshan has problems such as high financial risk, low turnover of receivables and low profitability during its development. The paper puts forward the corresponding suggestions of saving expenditure, increasing income and focusing on sustainable development in solvency; improving enterprise credit policy and strengthening accounts receivable management in operational capacity; and optimizing pharmaceutical R&D investment and management in profitability.
In recent years, the number of online game players has grown rapidly, the number of game brands has exploded, players have a wide range of choices, and the motivation to consume has become complicated from a single recreational pastime with strong social interaction. Unidirectional game brand promotion has already impressed consumers, and the community-based marketing model has been favoured by many game brands. It is necessary to explore more effective community marketing methods for game players for the development of game products. In view of this, this paper takes the typical representative of Genshin impact as an example and analyses the community marketing of Genshin impact based on the SICAS model applicable in the digital era. The author analyses the operation of the official and player-built communities of Genshin impact, and summarizes the advantageous features of its community marketing and the serious problems it faces. The study concludes that in the era of Internet social media, game communities need to satisfy the three characteristics of diversified content, rewarded discussion and strong interaction. The study also emphasises the official guidance rather than interference, so as to enhance the influence of community communication and the consumption desire of community users.
The international cartel does not positively influence the world’s economy. It is inefficient to allocate resources by setting a very high price. This paper emphasizes one of the most famous examples of international cartels in the real world - OPEC and a possible international cartel in the future - GECF. Finding out the damages brought by OPEC and GECF, and the predicted damages brought by GECF in the future, highlight the negative impact it brings to call for governments’ attention on the cartel. Then, making some comparisons of OPEC and GECF will help to make different target strategies for them. Also, this paper provides some suggestions to combat international cartels, like standardizing the cartel’s definition and constructing a global jurisdiction organization to solve the cartel problems. Although there is a long way to go in combating international cartels, some actions are needed urgently to witness the increasing power of international cartels.
Numerous disciplines, including logistics, have experienced a paradigm shift since the advent of big data. As the backbone of many industries, logistics has been significantly impacted by the expansion of big data. The purpose of this paper is to investigate the far-reaching effects of big data technology on the development of sustainable logistics, with a particular emphasis on the role of big data in various parts of the logistics process. Through a literature review and case analysis, this paper focuses on summarizing the application of big data in all aspects of logistics, and selecting and analyzing the experiences and lessons of businesses that have successfully implemented big data logistics practices. It finds that by optimizing the operation model and other means, big data effectively improved logistics efficiency. Simultaneously, intelligent solutions supported by big data can also aid in reducing the impact on the environment, for instance by encouraging the use of alternative energy vehicles. In addition, big data can encourage various entities to engage in collaborative innovation and promote the continuous generation of logistics-related solutions.
In exploring the realm of behavioral economics, we find that traditional economic theories often overlook the intricacies of human psychology. Behavioral economics can be perceived as a compelling intersection of psychology and traditional economics. Rather than always acting rationally, individuals are influenced by cognitive biases, heuristics, and framing effects. These insights from behavioral economics have broad applications, spanning from personal finance to comprehensive public policies. Policymakers and economists alike now integrate behavioral perspectives to design more effective interventions. By recognizing human tendencies, we can nudge individuals towards better decisions, thereby enhancing societal welfare. Examples of such applications include reframing retirement savings options, devising strategies for improved tax compliance, and crafting initiatives to decrease energy consumption. Through these insights, we emphasize the potential of behavioral economics to craft a more informed and efficient approach to addressing economic challenges. Behavioral economics has a transformative power that goes beyond traditional economic frameworks. By merging psychological insights with economic principles, we gain a multifaceted perspective that enables us to navigate these complexities more adeptly.
Dormitory beds are assigned to students at random in China each year. However, a big majority of students are dissatisfied with their results, which will have an impact on their academic performance. The goal of this paper is to help students choose a suitable bed by using an algorithm after the initial allocation. This research constructs a bed allocation model and firstly employ the top trading cycles algorithm, which fulfills individual rationality, Pareto-efficiency, and strategy-proofness. Notwithstanding, this paper finds that the chance of indifferences cannot be precluded, despite the fact that this article let students rank beds as indicated by their inclinations for rooms and beds. Subsequently, the top trading cycles algorithm is ineffectual for this issue. The top trading absorbing sets algorithm is then applied to the general domain to create individual rationally, Pareto-efficient, and strategy-proof matching. This paper finds that the top trading absorbing sets algorithm is a suitable solution for bed allocation problem in Chinese universities and suggests universities to apply this algorithm after randomly allocating beds to freshmen to enhance the satisfaction of students.
This research paper delves into the intrinsic dynamics of the anchoring effect as it pertains to corporate engagement in green governance. The findings underscore two distinct phenomena: firstly, in the presence of solely an internal anchor, there is a marked internal anchoring effect. This indicates a direct correlation between the magnitude of a focus firm's expenditure and its green outlay. Conversely, when only influenced by an external anchor, there emerges a pronounced externality among companies affiliated with Global Prime Partners (GPP). Specifically, a prior heightened expenditure on environmental initiatives is indicative of potential benefits reaped from anchoring in the realm of Environmental, Social, and Governance (ESG) strategies. This paper further elucidates the implications of these anchoring effects on decision-making processes and offers strategic insights into harnessing their inherent advantages.
As asset-backed sercuritization developing not only in western countries but also in Asian countries and districts that have different capital market system and history, especially China, the mortgage backed sercuritization was considered as the most potential product in the ABS market, derived its own charm to attract investors because of the high yield and the policy supported. The study investigate the process of the MBS developing by comparing the history of the market under different types of capital environment and government involvement in the US, Hong Kong and China. The analysis was testified by policies and the roll up data from the market, the key points extracted from the timeline provided the different forms and potential risks of nowadays MBS. therefore, this paper overwhelmingly indicated investor’s possible concerns about the MBS market after the subprime crisis and other on-going recession of the mortgage market in certain countries, and would bring radical thinking about the process of future investment decision-making.
Given the ongoing degradation of the global environment, the imperative of energy conservation and emission reduction has become increasingly apparent. In response to this pressing issue, automobile manufacturers have been actively heeding the call of the nation. Consequently, an escalating number of automotive companies are now engaged in the competitive landscape of the new energy automobile industry. In the context of intense market rivalry, the formulation and implementation of corporate strategy has emerged as a crucial determinant for the sustained growth and success of organizations in the long run. business strategy plays a pivotal role in the comprehensive development strategy of a business, serving as a potent tool to enhance resource utilization and guarantee the value creation of the enterprise. Hence, it is imperative for firms to engage in a methodical and scholarly examination of financial statements through financial analysis. This article employs the case analysis method, literature research method, and SWOT analysis method to perform a financial analysis of NIO, focusing on the perspective of corporate strategy. By utilizing these methods, the paper aims to offer pertinent recommendations for NIO and serve as a reference for other relevant enterprises.
In the wake of rapid technological advancements, the digital economy has witnessed substantial growth, profoundly impacting the retail sector. Among the key players in the retail industry, department stores have emerged as significant participants in the ongoing process of digital transformation, navigating a landscape rich with both opportunities and challenges. Within digital economy, department stores have faced new challenges and competition, but also found new success in adapting to the technology driven “new retail” model. This study delves into the realm of department stores’ digital transformation, amalgamating insights from literature review and current market analyses. By doing so, the research investigates the present landscape of digital transformation within department stores, dissects the underlying factors propelling this shift, and deliberates potential pathways for future enhancement. This paper finds that department stores confront challenges while actively aligning themselves with the evolution of the digital economy. This necessitates department stores to proactively recalibrate their developmental strategies.
In the past several years, the global epidemic has deeply affected the world. In this paper, we conduct research to examine the economic costs produced by COVID-19. First, we look for the relationships between the number of new COVID-19 cases and the statistics on economic mobility, and this could help us explain the economic recession during the pandemic. The results show that people tend to stay at home rather than going outside to other places during the pandemic. Additionally, we use the VAR model to forecast the GDP with data from the preceding 40 years, which might be able to help us in the future with risk management. Even though we fail to obtain the accurate estimate of the GDP, it still provides us with a way to conduct advanced planning. The inaccuracy of COVID-19 instances and other social or political issues that were left out could both contribute to the bias.
This research investigates the relationship between the price of the Ethereum token and Non-Fungible Token (NFT) trading activities on the Ethereum blockchain in the 2020s. Through regression analysis and t-tests, the study explores how changes in Ethereum's price and price volatility influence NFT trading behaviors. The regression analysis reveals significant positive correlations between Ethereum's price and various NFT trading variables, indicating that an increase in Ethereum's price positively impacts sales volume, unique sellers, unique buyers, and average sales of NFTs. Conversely, Ethereum's price volatility demonstrates significant negative associations with NFT trading activities, suggesting that market uncertainty and risk aversion influence investor decisions. The findings provide valuable insights for practitioners, investors, and traders in the NFT market, offering guidance for decision-making strategies and market trends; however, the study also acknowledges limitations in establishing causal relationships and suggests future research directions. Understanding the dynamics between Ethereum's price and NFT trading activities is crucial in navigating the evolving landscape of blockchain-based assets and decentralized markets.
Tesla, a trailblazing firm noted for its innovative business practices, is at the vanguard of the automotive industry’s transition brought on by the rise of electric automobiles. The paper analyzes Tesla’s business strategy in depth and looks at how it has affected the electric vehicle market. The study uses a literature review approach to look into Tesla’s novel business strategies, market positioning, and eco-friendly projects. This research analyzes academic literature, business reports, and case studies to determine what has contributed to Tesla’s success and offer practical suggestions for future study. The results highlight the revolutionary effect Tesla’s strategy has had on the automotive industry and the global advancement of electric vehicles. The paper elucidates the underlying strategic mechanisms that fuel Tesla’s expansion and market supremacy. Policymakers interested in encouraging sustainable mobility solutions and businesses planning to participate or compete in the electric car market can both learn valuable lessons from the results.
This study examines the unemployment rate in two major developing economies, China and India, to forecast their economic trajectories. Through an autoregressive integrated moving average (ARIMA) model, this study analyzes historical trends and potential future scenarios that can help make informed decisions for sustainable growth. By evaluating the literature on the labor market, informal economy, demographics, and the impact of technology, this study enriches the understanding of these intricate economies. The study concludes that China’s unemployment rate has remained stable, indicating an equilibrium, while India’s unemployment rate has fluctuated slightly, which may be due to health crises, technological shifts, and global trade dynamics. This study emphasizes the role of domestic policies, demographic and global economic factors in influencing unemployment rates. Overall, this study provides insights into the dynamics of unemployment in China and India, providing a valuable resource for policymakers, researchers, and businesses to understand the complexities of these economies.
There are significant environmental changes in the northwest region of China. These changes are raising concerns about their effects on agricultural products. In addition, this paper synthesizes findings from various studies to find the relationship between environmental changes and agricultural products. Expect for historical challenges, like barren land and sandstorms, governance build many policies to make ecological and agricultural improvements. These policies target to solve the environmental problems. Furthermore, the study processes many influential factors like changing precipitation patterns, ecological improvements, creative farming practices, and governmental policy impacts. By using the ARIMA model to forecast the data from the China Agricultural Information Network, results evaluate how environmental changes affect prices of key agricultural products, especially for peaches and watermelons. In the rest of studies also highlights the roles of technology and policies and providing insights into their economic and ecological significance. In conclusion, this study reveals the understanding of relationship between environmental changes and agricultural products, and it offer insights for sustainable development in the northwest region of China.