bluuebunny/crossref_metadata_2025 huggingface dataset:
Research on Chinese Agricultural Products Based on Supply and Demand
Authors: Mi Anjiang
Published: April 2023

Based on the data of agricultural prices and economic development in China in recent years as well as the previous research of economists, this paper will analyze the rules of fluctuation in agricultural prices in China and its possible influencing factors from the perspective of supply and demand. Due to the rapid development of productivity and the constant change of demand structure, the price of agricultural products in China has been increasing rapidly. However, in this process, the supply and demand imbalance also occurs from time to time, resulting in a large price fluctuation. This paper will also analyze some of China's agricultural policies and their positive effects. Macro policies can stabilize agricultural prices to some extent, but their effect is limited. Therefore, appropriate macro-control is needed to fundamentally guide production and trade process from both sides of supply and demand, so as to stabilize the price of agricultural products and market expectations.
The Impact of Property Tax on House Prices--Theoretical analysis based on the supply and demand model and the four-quadrant rule
Authors: Jiang Manlin
Published: April 2023

This paper analyzes the impact of the real estate tax on house prices from theoretical models such as the long- and short-term supply and demand models and the four-quadrant analysis model, followed by a real estate tax country analysis. It is found that for most small and medium-sized cities, a real estate tax that imposes a tax on both the transfer and retention segments will lead to a significant decline in house prices in the medium to long term, but overall, house prices will still fluctuate up and down from the original trend. For cities with high house prices and large house price increases, a tax on only the transfer link will only drive The conclusion has some predictive value for the effect produced by the pilot real estate tax reform work, and at the same time, it has some guiding significance for the proposal of real estate tax reform in the paper.
Analysis of E-Commerce Product Sales Prediction Based on Ga-Bp Neural Network
Authors: Zhai Jianwei , Li Qing , Xia Yufei
Published: April 2023

In recent years, the market for the sale of various goods has been expanding and with it comes huge amounts of data that needs to be specifically processed and analyzed. For a company, the adoption of artificial intelligence algorithms with better performance in handling big data is an important step in influencing the future decisions and future growth of the company. In this paper, an optimized neural network based on GA-BP is constructed to analyze samples with different characteristics to predict the future sales in the short term. After testing, the prediction results are found to be good. First, the degree of influence between the indicators is examined using BP neural network. By comparing whether the inventory indicator at the beginning of the month is used as the model input, the error of the end-of-month inventory forecast content is obtained, which leads to the conclusion that the inventory at the beginning of the month has a greater impact on the inventory at the end of the month. Similarly, it can be concluded that the commodity type has a greater impact on the commodity pool. Second, to further analyze the relationship between commodity type and commodity inventory, the Eta test was used. It was found that item type A2 had the greatest impact on merchandise inventory, followed by type A1 and finally type A3. This finding is consistent with the characteristics of the dataset. Considering that the optimized GA-BP neural network model is mainly used to predict merchandise sales in the next 3 months; secondly, considering the specificity of some data in the sample, it is not suitable to use the neural network for analysis and prediction. For all data, the data that could be analyzed by GA-BP were found by gradient descent method, and it was found that the data with target value below 5500 had the best prediction effect. Finally, according to the given accuracy evaluation index, the score of the model is calculated as 0.678 5, and the model works well.
Stock price valuation analysis of the digital technology industry based on the HP-ARIMA method - with 18 listed companies of different volume sizes in its 3 segments as an example
Authors: Deng Sipeng , Gao Jiahe , Huang Yuanchen
Published: April 2023

The world securities market has formed a more complete system since its origin in the 17th century, with a considerable number of small and medium-sized investors and institutional investors, and proposing innovative new methods for securities valuation models can assist investors in making more accurate investment decisions. This paper proposes for the first time to use an interdisciplinary analysis method, ARIMA + HP filter analysis, to analyze the valuation of the securities market, by taking the opening prices of individual stocks in digital technology industry segments: blockchain, artificial intelligence, and Beidou navigation as examples for valuation analysis, firstly, the initial data of the opening prices of individual stocks from 2019-2021 are analyzed by HP filter analysis, and secondly, the data are analyzed while doing Tobit model test. By analyzing the long-term trend of the digital technology industry after noise reduction, its corresponding valuation forecast and value judgment results show that the head effect of the digital technology industry is more significant, and the opening price volatility shows a U-shaped relationship with company size and profitability, and the opening price volatility of individual stocks is less, while the shorter the company's establishment time, the greater the stock price volatility. While the past literature focused on the traditional valuation of financial conditions and historical data analysis of a single variable, this paper analyzes the data of individual stocks in the digital technology industry through an interdisciplinary analysis method, which allows for a more comprehensive use of historical data and prediction of possible stochastic fluctuations, providing a more reliable valuation method for securities investors and opening up new ideas for research related to the field of valuation analysis.
Analysis of consumption characteristics of urban and rural residents in Chongqing from the perspective of epidemic
Authors: Chen Xiao
Published: April 2023

The outbreak of COVID-19 at the end of 2019, which spread to the whole world, has had a significant impact on the Chinese and even the global economy, and the lack of effective domestic demand has become a real problem for China's economic development. In this paper, the ELES model is constructed, and the consumption data of urban and rural residents are obtained from the Chongqing Statistical yearbook using multiple linear regression fitting. According to the data, descriptive analysis is made on the consumption of urban and rural residents, and the development rules and characteristics are analyzed. The consumption characteristics and differences between urban and rural residents are analyzed in the aspects of transportation, communication, education, entertainment and medical care. The results can provide some theoretical basis for the government's future economic measures.
Analysis of regional financial risks in Shenzhen, China
Authors: Wang Yizhuo , Hu Haodong , Zhong Jiawei
Published: April 2023

Financial risks are characterized by complexity, concealment, abruptness, infectivity and harmfulness. In the 40 years since the establishment of China's Special Economic Zone, Shenzhen's financial industry has become the third largest financial center on the mainland. At present, the financial industry has developed into one of the four pillar industries in Shenzhen. The significance of this paper is to explore and evaluate the regional financial risks in Shenzhen, and put forward targeted suggestions for Shenzhen's banking, securities and insurance, and real estate markets according to the quantitative results. Based on the annual data of Shenzhen from 2000 to 2020, entropy weight method and CRITIC method are used to determine the weight of grading indicators. This paper proposes three innovative scenarios using Holt Winters three exponential smoothing method to predict data. Finally, the risk scoring system is constructed according to the scenario analysis results, and optimization suggestions are put forward according to the early warning results.
A test based on mediating and moderating effect models - the effect of corporate environmental performance on idiosyncratic risk
Authors: He Peilin , Han Zhuohang , Qin Zheng , Tian Jiaqi , Wen Yutao
Published: April 2023

With strong national advocacy and policy guidance, the coordination of economy and environment has become an issue that cannot be ignored nowadays. Proper understanding and handling of the relationship between economic development and environmental protection is conducive to promoting the high-quality development of China's economy and helping enterprises to take environmental benefits into account while pursuing economic benefits. In this context, based on multiple theoretical and empirical studies, this paper selects all A-share listed companies from 2011-2020 as the research object, constructs a multiple regression model with fixed industry and year, and innovatively explores the impact of corporate environmental performance on trait risk and its mechanism of action. The study shows that corporate environmental performance significantly reduces idiosyncratic risk, while corporate information quality mediates the relationship between the two, and media pressure positively moderates the relationship between corporate environmental performance and information disclosure quality. In addition, this paper also replaces the original explanatory variables with Chinese three-factor model regression residuals to estimate corporate idiosyncratic risk, and expands the explanatory variables to ESG to conduct robustness tests on all research hypotheses, which promotes the development of the investigation of the mechanism of ESG's influence on idiosyncratic risk. Based on the results of the above analysis, this paper is able to provide impetus for the improvement of the intrinsic environmental performance of companies and the external environmental concern coverage of media reports, and make marginal contributions to the promotion of high-quality economic development.
Ways to Improve Arsenal's Lack of Overseas Fans
Authors: Yu Wangsing , Zhang Siyuan
Published: April 2023

The investigation of this article was based on Building on the context of the global COVID-19 (Corona Virus Disease 2019) pandemic all over the world. Nowadays, there are not many passages on how to increase the number of fans overseas. Hence, this was a gap in this field and this passage applies Arsenal as an example to analyze this problem. This research applied the case analysis suggestion to analyze this problem. After the investigation, the passage said that Arsenal makes a huge financial loss because of COVID-19. Thus, they need to perform something that will make a positive difference, improve Arsenal's performance and the number of titles, and manage what their players say on social media. These three suggestions were since the Internet is very developed in today's era. The Internet can help Information spread quickly. Also, as the Internet gets better and better in the future, it could be a good idea for Arsenal to plug in its financial losses and make more money.
Provide Bitcoin's daily optimal trading strategy based on LSTM
Authors: Li Songze , Zhang Yixuan , Dong Xueli
Published: April 2023

The purpose of this report is to develop a model that gives the best daily trading strategy based only on the price data before the day. We want to provide traders with strategies that will enable them to maximize their returns.we first utilize the LSTM time series neural network model using the first 956 data sets are used for training , and the subsequent 300 test sets are used to evaluate the model accuracy, calculate the prediction error and word comparison plots, and assess the difference between the prediction performance of the model and the actual value,This method has a better credibility. Finally, based on this model, we construct the optimal trading strategy model with the maximum value of total assets held as the objective function, add constraints, and finally arrive at an investment value of $1000.
The Exit Threat of Non-controlling Major Shareholders and Corporate Financial Risk
Authors: Li Linru , Li Xiaofei , Zhang Meng
Published: April 2023

Corporate governance plays a crucial part in corporate financial risk but the traditional means of corporate governance are limited. The means of corporate governance based on the exit threat of non-controlling major shareholders have been paid more and more attention. Based on this, this paper selects the China's A-share non-financial listed corporates from 2011 to 2021 as samples to explore the relationship between the exit threat of non-controlling major shareholders and corporate financial risk. It is found that exit threat can lower the financial risk of corporates; the reduction effect is more significantly for large scale and state-owned companies; high ownership concentration and high return on assets can strengthen the reduction effect of the exit threat on financial risk. This paper confirms the governance role of exit threat, and provides a new way to reduce financial risk for companies.
Research on ecological evaluation of vegetable industry based on comprehensive evaluation method
Authors: Miao Wendi , Liu Kaige
Published: April 2023

Based on the background of poverty alleviation and rural revitalization, this paper establishes a comprehensive evaluation index system of vegetable industry ecology based on ecological efficiency. This paper use entropy method, weighted comprehensive method to analyze the ecological development of vegetable industry in Shouguang City from 2005 to 2019. The study found that : The comprehensive evaluation score showed an upward trend. The ecologicalization of vegetable industry has achieved certain results, and the comprehensive development level has been continuously improved. The growth rate of economic and social condition evaluation score is high, and the overall fluctuation of environmental condition score decreases.
B&B Economy Lights up Rural Revitalization
Authors: Duan Zhuotong , Zhang Tingting , Zhou Xiaojuan , Tang Hui , Lv Jingwen
Published: April 2023

"Anyuan County is not far away, the scenery is in front of you." Relying on the scenic spot of the Sanbai Mountain National Forest Park, Anyuan County is a vigorously developing tourism, furthermore, it reasonably promotes the development of rural B&B economy, which will add bricks to the road of rural revitalization of it. But at present, the rural B&Bs in Anyuan only rely on repairing houses and Increase beds, which lack of characteristics. Therefore, through the branded growth of B&B, the development of "B&B+" experiential integrated leisure industry, the integration of rural culture construction and propaganda, agriculture and traditional handicrafts, to make the maximum use of existing ecological tourism resources in Anyuan, creating an innovative development path of B&B with temperature and sentiment.
The Psychological and Behavioral Impact of the Use of Service Robots on Customers based on the S-O-R Theory Perspective
Authors: Wang He
Published: April 2023

This paper focuses on the impact of service robots on customer psychology and behavior, systematically reviews the current service marketing research literature that focuses on service robots. This paper first compares the characteristics of service robots with those of human employees, and then presents the salient features of service robots in the provision of services. Finally, the paper discusses what can be further researched in the field of service robotics in the context of future artificial intelligence, complementing the existing research framework and suggesting new ideas for the study of artificial intelligence services.
Vertical Fiscal Imbalance and Transformation of Industrial Innovation Achievements: Based on Panel Data of 30 Provinces in China
Authors: Yuan Zexin
Published: April 2023

Based on the background of deepening the financial system reform and innovation-driven development strategy, this paper incorporates the vertical imbalance of finance and the transformation of industrial innovation achievements into the theoretical analysis framework, and explains the mechanism of the vertical imbalance of finance on the transformation of industrial innovation achievements through theoretical analysis. Based on the panel data of 30 provincial regions in China from 2003 to 2020, it is found that the current vertical fiscal imbalance in China has a significant negative impact on the transformation of industrial innovation achievements. Furthermore, there are regional and time heterogeneity, which is manifested in the fact that the transformation of industrial innovation achievements in the eastern region is not easily affected by the vertical fiscal imbalance, while the central and western regions are easily affected by the vertical fiscal imbalance. Meanwhile, the negative impact of fiscal vertical imbalance on the transformation of industrial innovation achievements after 2012 is significantly stronger than that before 2012. In addition, the scale of science and technology education expenditure has a mitigating effect on the negative effects of fiscal vertical imbalance and the transformation of industrial innovation achievements. In order to promote the implementation of innovation-driven development strategy, China should further deepen the reform of financial system, improve the performance appraisal system of local governments, and accelerate the optimization and upgrading of industrial structure.
Disney, The Absolutely Dominant of Business
Authors: Xiao Yuanyuan
Published: April 2023

Under the growth of the digital trend and the pressure of the COVID-19 global pandemic, many media and entertainment companies have made strategic changes and adaptations in order to survive and have better development. Disney is one of the companies that successfully survived and would have a great opportunity to become one of the main dominants in the next decade. Analysis including marketing mix 4Ps and SWOT is used to evaluate Disney’s possibility to become dominant. After the analysis of the study, the result offers suggestions for other companies in the industry regarding how they could learn from Disney for their own development.
The Influence Mechanism, Realistic Dilemma and Development Path of Digital Economy on Chinese Enterprises' Innovation
Authors: Huang Zeying
Published: April 2023

With the progress of China's digital economy, it is significant to study whether and how the advance of digital economy can enhance the innovation ability of Chinese enterprises. This text discusses the effect of digital economy advance on companies’ innovation ability as well as its mechanism, as well as the realistic dilemma it faces, and then gives the concrete development path. This paper shows that digital economy promotes the development of innovation capability of Chinese enterprises through three aspects: reconstruction of innovation elements, improvement of external resources and reorganization of knowledge elements. On the other hand, financing is difficult and expensive, the imbalance of regional development of the digital economy, digital divide and digital poverty and other phenomena are realistic dilemmas that need to be faced and solved. In the end, the paper points out that the innovation capabilities of enterprises can be promoted by vigorously developing the digital economy, improving the digital level of enterprises, expanding the financing channels of enterprises through the digital platform, easing the financing restriction on companies, and narrowing the digital gap between metropolitan and villages through the active role of the government and society.
The Impact of Environmental Protection Tax on Corporate Green Innovation under the Double Carbon Target
Authors: Wu Keying
Published: April 2023

The report of the 20th National Congress of the Communist Party of China proposed to promote the major transformation of the socialist economic model, implement the national comprehensive energy-saving plan, actively develop green and low-carbon industries, encourage green consumption, and promote the establishment of a green and low-carbon economic production mode and life mode in society. Since the implementation of the Environmental Protection Tax Law on January 1, 2018, the hearts of enterprises to " seek green " have gradually increased. Taking Jiangxi Copper Industry Group as an example, this paper describes and analyzes the development of the national mining industry under the dual carbon goals, explores the role of environmental protection tax on green innovation of enterprises, and puts forward corresponding measures and suggestions.
Application and Analysis of Decision Support System in the Development Trend of Coal Science and Technology
Authors: Zhang Haobo , Wang Ziyao
Published: April 2023

This paper expounds the development of coal technology in China, points out the development of safe and efficient production technology and equipment in coal mines, and the research of coal production technology and equipment. It also explains the decision support system and its related technologies. By combining with the development of coal science and technology, the article mainly studies the current situation of coal science and technology development and compares it with the traditional information management system. The result shows that the reduction rate of energy consumption per unit output value of the decision support system in coal is 5% higher than that of the traditional information management system, It also shows that the decision support system can be suitable for decision-making of coal enterprises, and is conducive to the development of coal science and technology.
Obstacles and Countermeasures for China to Promote the Cooperative Management of Lancang-Mekong Water Resources
Authors: Ding Keyin
Published: April 2023

Since its launch in 2016, the Lancang-Mekong cooperation has been steadily advancing through a range of projects, notably those concerning cooperative governance of water resources. In recent years, foreign actors have cast doubt on China's involvement in the Lancang-Mekong River Basin, fueling the propagation of the "China water threat theory" and exerting influence over water resource management in the region through various channels, including strategic partnership initiatives, organizational mechanisms, and technical communication. Meanwhile, China faces daunting challenges in managing water resources in the Lancang-Mekong Cooperation region, including intense market competition and hedging issues, which hamper its international image. This study analyzes the challenges and obstacles that China may confront in developing water resources cooperation between the Lancang and Mekong Rivers, and proposes recommendations for further advancing China's engagement in water resources management.
Research on Pricing Decision Considering Advertising Benefit and Consumer Psychological Benefit
Authors: Mao Wei
Published: April 2023

For perishable goods, the optimal pricing models studied by current scholars seldom consider price effect, psychological benefit and consumption time. Based on the current basic newsboy model, this paper focuses on the price characteristics and consumer psychology of perishable products under the background of single dealer, in order to build a complete optimal price decision model of perishable products. According to the two-stage ladder pricing of perishable products in the pricing stage, this paper constructs the optimal price decision model of dealers in different sales stages by representing consumer demand and dealer profit equation, so as to provide enterprises with the maximum optimal strategy. Moreover, sensitivity analysis of parameters in the model is carried out to ensure the stability of the model.
Analysis Regarding Pfizer's 2019-2020 Financial Report
Authors: Ma Yimeng
Published: April 2023

Pfizer keeps making a positive difference in the world for the benefit of countless patients, according to the 2021 Pfizer Annual Report. The outbreak of COVID-19 has sent Pfizer's results skyrocketing, while Pfizer has also used the data to satisfy its stakeholders and the general public. This essay conducts an objective analysis of Pfizer's annual financial statements for 2019-2021, including balance sheet analysis, income statement analysis, cash flow statement analysis, financial ratio analysis, and Du-pont analysis. The research demonstrates an overall upward trend in Pfizer's revenues. It is primarily motivated by sales growth across the Pfizer portfolio. The company's net income grew because of increased revenue and the implementation of cost-cutting measures. Pfizer kept a solid financial position and a healthy cash balance, allowing it to invest in R&D, make strategic acquisitions, and return value to shareholders through dividends and share repurchases. Ultimately, the financial report demonstrates Pfizer's dedication to driving long-term growth and creating value for its stakeholders.
Bitcoin: A Blessing or a Curse
Authors: Liu Siyuan
Published: April 2023

Bitcoin is considered the first and largest crypto currency with a blockchain system of recording transactions on thousands of machines at once enabling peer to peer transfer. There is no doubt that Bitcoin has received strong attention from the real world. Its innovative concept, reliable technology and advantages in application attract many people's attention. But Bitcoin has also brought many negative effects. To provide an organized response to the question around the potential benefits and harms of using Bitcoin, we designed an Impact Index comparing the impact from both sides of this topic. We found that the impact of the curses (negatives) is significantly bigger than the impact for benefits. However, more advanced technology, more regulated approach and changes in payment and financing methods may become the savior of Bitcoin.
Research on the Effect of Audit Quality on Corporate Charity based on the Moderating Role of Industry Competition and Marketing Level
Authors: Jia Xiaolin
Published: April 2023

The concept of corporate social responsibility has been proposed since the early 20th century, it has been receiving continued attention from the theoretical and practical circles. While the enterprise pursues profitability, social responsibility emphasizes that enterprises pay attention to the contribution to the environment, consumers, and society in the production process. As a significant manifestation of corporate performance of social responsibility, charity has become the focus of research in social responsibility. There is already literature to analyze the influential factors from many perspectives. However, the quality of audit as an independent economic supervision activity has not been studied. Therefore, this article tries to analyze the effect on enterprises from the perspective of audit quality. This study found that the quality of the audit is significantly positively associated to the charity of the enterprise in China. The higher the quality of the audit, the stronger the philanthropic conduct of an enterprise. In terms of moderating, the industry's competitive intensity and the level of marketing of enterprises have played a positive role in pushing the relationship between audit quality and corporate charity behavior. The conclusion of this article can help the government encourage enterprises to enhance the audit quality, thereby promoting corporate contributions and achieving their social value.
The Impact of Facades of Conformity on Individual Creativity: The Critical Role of Emotional Exhaustion and Organizational Political Climate
Authors: Ma Lu , Wei Ye , Xie Peng , Zheng Yunjian
Published: April 2023

The business environment is complex and changeable, which posed challenges for leaders to focus on improving individual creativity. Drawing on the conservation of resources theory, this study investigated the negative impact of facades of conformity on individual creativity by focusing on the mediating role of emotional exhaustion and the moderating role of organizational political climate. The data were collected from 335 employees of different industries in Guangdong, Guangxi, Jiangxi and other regions in China. Results indicate that (1) facades of conformity has a significantly negative impact on individual creativity; (2) there is a mediation of emotional exhaustion in the relationship between facades of conformity and individual creativity; and (3) organizational political climate significantly moderate the relationships between facades of conformity and emotional exhaustion and the mediating effect of emotional exhaustion. This study opens up a new perspective for the study of individual creativity and provides theoretical and practical basis for the effective promotion of individual creativity by organizational managers.
Preface: 3rd International Conference on Financial Economics and Investment Management (FEIM 2023)
Authors: Gregory Rupert , Fan Dongxin
Published: April 2023

The 2023 3rd International Conference on Financial Economics and Investment Management (FEIM 2023) was held on February 11-12, 2023 in Yokohama, Japan. FEIM 2023 aims to bring together leading academic scientists, researchers and research scholars to exchange and share their experiences and research results on all aspects of finance, investment, economics, business and marketing management. This conference also provides a premier interdisciplinary platform for researchers, practitioners and educators to present and discuss the most recent innovations, trends, and concerns as well as practical challenges encountered and solutions adopted in these fields.

FEIM 2023 offers the opportunity for engineers, scientists, professionals, policymakers, investors, and other parties to review recent developments in these areas. The conference covers many topics under different fields. The outcome of the lectures, expert discussions and presentations will help our societies and will open new avenues. All papers published in this volume have been peer reviewed through processes administered by the editors. Reviews were conducted by expert referees to the professional and scientific standards expected of a proceedings journal.

FEIM Organizing Committees

Yokohama, Japan
Investment Analysis of Wine Industry Based on Indicators: Evidence from MOUTAI, WULIANGYE and LUZHOU LAOJIAO
Authors: Ma Qianyue
Published: April 2023

The wine industry of China has entered the fourth cycle, which means it enters the fourth round of boom with the rise of mass consumption. At the same time, the industry brand and high-end become the trend. Contemporarily, the revenue growth of wine industry has basically stagnated after rapid growth, but high-end liquor still shows vigorous growth. Focusing on the data of Kweichow Moutai, Wuliangye and Luzhou Laojiao, this paper analyzes and evaluates the risk indexes of the three high-end wine brands through liquidity, profitability, and beta. In addition, the investment suggestions are proposed in terms of the evaluations. According to the analysis, it is concluded that Moutai's financial risk, liquidity risk and operational risk are the lowest, but the other two companies still have high investment value. Moutai is suitable for stable investors and balanced investors, Luzhou Laojiao is appropriate for short-term investors due to the remarkable growth rate in recent years, and Wuliangye will be favorable for long-term investors due to the high potential. This study analyzes high-end wine brands and these results shed light on finding investment targets suitable for their risk appetite.
Comparative Analysis of NPV and IRR Indicators Based on Practical Applications
Authors: Zhang Kaiwen
Published: April 2023

The current essay briefly reviewed the definitions of NPV and IRR, investigated the functions, practical uses and which is better in financial market. After describing the limitations of NPV, this paper will also give some approaches, which might be mentioned in other materials, in order to alleviate effects of some limitations. However, for perpetuity, the calculation should use the formula of perpetuity, which will be a little bit more difficult. After doing these improvements, NPV can be used to compare very different projects. Nonetheless, there are few resources about improving IRR, thus, the approaches to improve IRR were not proposed by the author. Although there is no enhancement can be made, IRR is easily to calculate the projects with short time period and single direction of cash flows, also distinctly illustrates their profitability. According to their features, NPV is more suitably used in long-term investments, and results of IRR would be more accurate and effective in short-term investments.
Indicator Analysis for Cosmetics Companies: Evidence from L’Oréal, Shiseido and Estée Lauder
Authors: Zhong Yuntong
Published: April 2023

The Chinese cosmetic market increases dramatically in the last five years, which may correspond with the worldwide consuming and investing trend. This paper refers to the profitability performance of three multinational cosmetics companies, i.e., L’Oréal, Shiseido, and Estée Lauder. The best way to illustrate their aspects is ratio analysis combined with visualizations. To be specific, profitability, liquidity as well as working capital indicators are utilized. As for profitability indicator, it includes net profit margin, return on capital employed. Liquidity indicators include current ratio or quick ratio while working capital indicators include inventory turnover period and cash flow. According to the analysis, P&G and L’Oréal are the best seller in the current market because their market proportion are over 50%. Then, the selling of Shiseido and Etsee lauder are ranked after L’Oréal. The strategy these companies chose is significant to get high sales volume, which includes online or offline sales modes etc. The reflection of the ratio also represents some shortage of their operating. These results shed light on guiding further exploration of the profitability and investment performance.
Analysis on the Responsibility of Transnational Corporations to Protect Human Rights
Authors: Shen Yizhe
Published: April 2023

With the acceleration of the process of world economic integration, the overall strength of multinational corporations is becoming stronger and stronger, and profoundly affects the world's politics and economy, and gradually forms a new pattern of powerful countries. Multinational corporations have played an active role in promoting global economic development and improving international people's livelihood. However, the actions of some multinational corporations have had a positive impact on their actions at the expense of human rights. More and more multinational companies have caused serious harm to human health due to violations of labor standards and environmental pollution. On this issue, the international community generally attaches great importance to the relationship between transnational corporations and human rights. Therefore, in recent years, the issue of human rights responsibilities of transnational corporations has become a common concern in the world. In this context, this study analyzes the human rights violations of transnational corporations, and from the perspective of the current international predicament, puts forward suggestions to improve international legislation and establish responsibility mechanisms of companies, home countries and host countries.
Multinational Enterprises and Environmental Degradation--What Makes Multinational Enterprises Hard to be Held Accountable and Solutions
Authors: Zhang Yuling , Zhao Hao , Zhu Manqi
Published: April 2023

How to pursue legal accountability of multinational enterprises damaging the environment outside their home countries is an urgent problem pending to be solved, especially when environmental issues caused by them are becoming the primary driver of global environmental degradation. To circumvent their accountability to pay for what they have done to the environment and people living there, parent companies usually justify their innocence through the idea of independent accountability their subsidiaries legally have. This article will focus on reasons and difficulties in making parent companies directly responsible for environmental degradation caused by their subsidiaries and finally put forward theoretical and practical solutions that can be taken by home countries and internationally to regulate MNEs so as to surmount the problem. Through these efforts, not only will it be easier for environmental victims to seek justice in the foreseeable future, but the global environmental degradation caused by MNEs will be substantially prevented.
The Impact of ESG Performance on Company Valuation: A Case Study Based on Industrial Bank
Authors: Xu Yundi
Published: April 2023

Contemporarily, ESG has become a hot topic, where more and more investors are aware of the importance of ESG and pay more attention to a company's performance in ESG when making investment decisions. As a result, companies are paying attention to improving their ESG performance, and many researches have shown that there is a relationship between ESG ratings of companies and the valuation of companies. This paper selects Industry Bank as a case study based on the results of MSCI's ESG rating as a measure of ESG performance. In addition, data from the company's annual report as well as investing.com and bloomberg.com is obtained to calculate various aspects of the company's indicators. In terms of the data, this paper analyzes and compares changes in Industry Bank's corporate value and performance before and after the change in ESG rating in 2019. This paper explores the relationship between ESG ratings and company valuation through specific case study, remedying the shortcomings of related studies that only stay at the theoretical level. Besides, these results explore the practical significance of ESG ratings which shed light on further study.
The Advantages of Supply Chain Integration in Electric-vehicle Industry: Evidence from BYD
Authors: Qu Yingming
Published: April 2023

Contemporarily, with the increasingly serious problems of energy shortage and air pollution, many countries have taken new energy vehicles as their strategic industries. Exhaust emissions from conventional fuel vehicles contribute to the greenhouse effect and air pollution. Besides, the lack of energy supply due to the non-recycling of fossil fuels is also an increasing issue. Under the background of green innovation development, new energy vehicles have become an important development direction of the automobile industry. Governments around the world hope to use new energy vehicles to alleviate air pollution and energy shortages and achieve sustainable economic development. As a leader in China's new energy vehicle industry, BYD has not only achieved good results in China, but also has a certain share in foreign markets. As a leading enterprise in the new energy vehicle industry, BYD fully relies on its advantages in scale and actively explores the development mode of the whole industry chain of new energy vehicles. According to the analysis, BYD's market share is high and its sales volume has repeatedly hit record highs. Although its operating capacity has declined owing to the impact of the epidemic, it is still in a leading position in the industry. BYD has a large enterprise and a good momentum of development and its vertical supply chain system has also enhanced its competitive edges. Suggestions are proposed to reduce dependence on the government and improving product positioning. These results shed light on guiding further exploration of the further development of BYD.
CAPM & FF3 for Grocery stores: Evidence from Kroger, Walmart and Target
Authors: Liu Yuwei
Published: April 2023

The impact of COVID-19 on the global economy is significant to most of the industry, espically hotle industry or restrauant industry. In order to fight for the negative effect from COVID-19, the government applied a lot of conventional tools and made an increase on the amount of money supply. However, these activities lead to an uncontrol consequence, which is inflation. The purpose of this research is to aopte the CAPM and Fama & French models to evaluate the inflation effect on grocery stores. The data used to compute the result, is the historical stock price collected from Yahoo Finance. When comparing the results from CAPM and Fama & French models, Fama & French model display the effect from inflation more specificly than that in CAPM model. Nevertheless, both models conclude the inflation plays an important role on the market value of the business. These results indicate the degree of influence from Inflation on parituclar industry, along with supporting evidence from CAPM and Fama & French Models.
Coffee Industry Analysis Based on Indicators: Evidence from Starbucks, Luckin and Nestle S.A.
Authors: Meng Lingyi
Published: April 2023

Coffee is a favorite beverage worldwide, and its unique ability to keep people awake and energized has dramatically increased the sales volume. Its high popularity has led to a considerable investment market. Therefore, whether the coffee industry is worth investing in and how to evaluate it has become one of the most critical research classes today. Based on previous investigations, most investment evaluations of the coffee industry have focused on companies in the same geographic area. However, there is a research gap in whether the international coffee industry is worth investing in. On this basis, this study will analyze whether the coffee industry is worth investing in by collecting data on stock prices and financial reports as well as calculate WACC values and compare them using the data. According to the analysis, the WACC values of all three companies selected are generally high, which means that the investment risk is high. It is indicated that the coffee industry is not worth investing in nowadays because of the high risk and high cost. These results shed light on guiding further exploration of how to do the right choice of investment in the coffee market.
Changes in Bitcoin Prices under the Uncertain Market: An Analysis Based on Time Series Model
Authors: Tian Yuhe
Published: April 2023

Today's society is full of uncertainty, especially during the outbreak of the Russian Ukrainian Conflict, oil prices have changed. This paper uses VAR model and ARMA-GARCHX model to figure out if the high price of oil due to the conflicts between Russia and Ukraine will lead to changes in the price of Bitcoin. Through the use of STATA, it is concluded that in an uncertain market, the price of Bitcoin will be affected by the rise in oil prices. This paper combines the Russian Ukrainian conflict, oil price and Bitcoin price, and uses relevant data to fill in the relevant theories of the impact of the Russian Ukrainian conflict. Therefore, in the process of consumer investment, investors should not only pay attention to the benefits of Bitcoin, but also pay attention to many shortcomings of this emerging virtual currency. Besides, supervisors should improve the stability in the Bitcoin market.
Future Trend of Virtual Machines: A Case Analysis of Broadcom's Acquisition of VMware
Authors: Lou Haotian
Published: April 2023

On May 26, Broadcom, the U.S. communications chip giant, announced that it will acquire cloud services provider VMware for $61 billion in a stock plus cash deal. Broadcom would assume $8 billion of VMware's debt under the terms of the agreement, while its Broadcom Software Group will continue to operate under the name VMware. In tough economic times, it is customary for large technology companies to double their bets: in the 1990s, the old AA transformed itself from a hardware company into a software and services company during the recession, and in the midst of the global economic downturn, Broadcom has made no secret of its intent to expand and grow its software business by accelerating its investments and acquisitions. If Broadcom and VMware can combine their strengths, not only will customers benefit from the integration of product portfolios, but the synergies between these different products could open up new business models.
Research on Digital Inclusive Finance to Alleviate the Dilemmas of SME Financing and Countermeasures
Authors: Guo Yu , Li Pengfei , Xiao Chenxi
Published: April 2023

SMEs are the focus of regional economic development, which mainly solves a large number of labor problems and provides technological innovation. However, SMEs have great difficulties in corporate financing . The emergence of inclusive finance is a breakthrough in supporting disadvantaged groups to enjoy low-cost and high-quality financial services, among which the technical support of digital inclusive finance is of great significance in solving the problem of financing channels for SMEs. In this paper, we will start with the current situation of SME financing development and the reasons for financing difficulties, identify the current problems and put forward corresponding suggestions to the current problems by analyzing the impact of digital inclusive finance on SME financing constraints.
Exploring Pop Mart Marketing Mechanics and Related Effects
Authors: Lin Zhang
Published: April 2023

With the improvement of living standards, people’s consumption concept has changed significantly. Especially young people in today’s society have begun to pursue spiritual consumption while continuing to pursue better material consumption. More and more young people are interested in all types of art toys due to the market’s booming growth in China. In recent years, the POP MART blind box economy has spawned a new turning point, opening up a new model of art toy entertainment for new retail. It is popular among young people owing to its special shopping experience. Through the information retrieval method, this paper studied the POP MART blind box marketing mechanism and its impact on consumers [1]. It also puts forward reasonable suggestions on the possible problems in the psychology of consumers as well as the overall marketing mechanism. On this account, the development of the POP MART blind box economy can be promoted better.
The Impact of Designers Changed on Luxury Brands-- Celine and Yve Saint Laurent
Authors: Ou Kaitong
Published: April 2023

Hedi Slimane is the former designer of Yve Saint Laurent and the current designer of Celine, and the idea of the study is based on this fact. The aim of study was conducted to analyse the influence of designers on luxury brands by exploring the stylistic changes of two brands in nearly a decade. The methodology is comparing the visual perception and commercial data of each brand respectively,combining subjective and objective analysis to reach the final conclusion. The discourse will focus on actions and achievements of three designers during their tenure with brands. The consequence is that the transformation of Celine is completely different in various phases, while the development process of Saint Laurent is the continuation of its history and constant innovation. A point to note is that sample size is too small for two brands to serve as a pattern of development in the luxury market, and no reference significance for other brands.