bluuebunny/crossref_metadata_2025 huggingface dataset:
The Effect of Erratic Quarantine Lockdown Policy on Students' Stress in China
Authors: Zhu Anbang
Published: April 2023

Two years after the initial breakout, the COVID-19 epidemic is still spreading worldwide. As the virus mutates and becomes more contagious, several epidemic outbreaks in China led to serious public health crises in 2022. The government has adopted the Zero-COVID Policy, a draconian measure aiming to lockdown cities with infected people as a means to combat the contagion.  Cities are vigilant and cautious of the pandemic, implementing lockdowns whenever COVID-19 cases emerged. Learning has fundamentally changed. Schools need to comply with unpredictable lockdown policies and transition to online teaching. Students, on the other hand, need to overcome new difficulties and make adaptations to the sudden shift in teaching mode. Previous studies have indicated evidence suggesting that online study has the potential to bring anxiety and pressure. Under such erratic circumstances, the challenge of retaining study progress has been perceived as arduous by the general public, requiring students to finish all study tasks in the changing environment. Through questionnaire studies and interviews with students who underwent different policies in different regions, the main goal of the research is to investigate how stress differently affects students and trace the reasons for the tension of studying online.
Problems And Countermeasures in The Development of Preschool Integrated Education in China
Authors: Lu Xinyue
Published: April 2023

As a research focus and implementation trend in the field of contemporary special education, integrated education has brought new opportunities and challenges for special children and preschool education. At present, integrated education has been popularized in kindergartens all over China. However, due to the lack of understanding of integrated education and special children in kindergartens, preschool teachers, social groups and other groups, the expected results are often unable to be achieved. By reviewing the development process of China's integrated education, reflecting on the educational problems arising therefrom, and combining with other countries' excellent integrated education policies and experience, this study tries to put forward opinions for the development of China's preschool-integrated education. China's preschool-integrated education is faced with the problems of the public's insufficient understanding of special children and integrated education, the lack of special education training for preschool teachers, and the unsatisfactory effect of integrated education. In order to improve the above situation, the quality of preschool-integrated education can be improved by referring to the experience of British and American integrated education, from the following four aspects: building relevant services and facilities in kindergartens, increasing the employment and training of staff with special educational background, establishing more specific evaluation mechanism and strengthening social support.
Cultural Differences in Moral Judgement
Authors: Hong Haotong
Published: April 2023

Morality can be explained as an innate sense of morality, a basic sense of fairness and a basic sense of justice. Moral judgments refer to people's positive or negative evaluations of what they see and hear and the actions of others. Moral judgments are affected by different factors. Cultural differences are one of the factors that can influence moral judgments. This article summarized and analyzed recent research regarding the impact of different cultures on moral judgments. The influence of culture on moral judgment was discussed from three aspects: cross-cultural similarity, differences across cultures, and developmental perspective. In the part of cross-cultural similarity, the influence of different genders and ages in different cultures on moral judgments was discussed. In the part of differences across cultures, the article compared the differences in moral judgments of participants from Eastern and Western cultures. The differences between collectivists and individualists in their moral judgments were also discussed. In the part of developmental perspective, how different cultures shape people's moral values and standards of moral judgment were analyzed and discussed. Through the analysis of recent research, it can be concluded that across all cultures, women and the elderly rely more on emotion when making moral judgments, while men rely more on reasoning. Besides, both collectivists and individualists were willing to punish violators when faced with immorality. Both collectivists and individualists were harsher when criminals were members of their own race. Individualists, after reflection, would reduce their dislike of offenders, but collectivists would not be affected by reflection. There are some limitations of recent studies. These include a lack of longitudinal comparisons and experimental procedures using assumed scenarios. The addition of follow-up experiments and simulated behavioral scenarios in future studies can solve these problems. At present, there is a lack of research regarding the influence of cultural differences on moral judgment in the research field. This paper fills this gap by analyzing the standards of moral judgment shaped by different cultures.
How Empathy Influences Aggressive Behaviors in Early Childhood
Authors: Zhou Yuhan
Published: April 2023

Studies have shown that empathy is a kind of emotional sharing and understanding ability, which is a kind of social ability, which stems from the complex interaction between unconscious neurocognitive, autonomic and neuroendocrine processes. A person who is empathic has the feeling to perceive and be sensitive to the emotions of others as well as the motivation to care for their wellbeing. In this essay, the different perspectives of empathy and how they influence aggressive behaviors in early childhood have been viewed. The study has found that the different forms of empathy influence behavior differently. In the normal sense and understanding, empathy tends to increase the chances for positive behavior and decrease aggression. In addition, in early childhood, emotional resonance is based on emotional inconsistency, which leads to empathic pain. This emotion is a self-directed response. At the same time, empathy pain becomes personal pain and needs comfort from others. Because the alternative emotional response may be out of control and may become disgusted at the same time.
Preface: 2022 International Conference on Financial Technology and Market Management (FTMM 2022)
Authors: Constance Judith , Zhan Xiang
Published: April 2023

The 2022 International Conference on Financial Technology and Market Management (FTMM 2022) have been conducted during November 26-27, 2022 in Tianjin, China. This conference aims to bring together leading academic scientists, researchers and scholars to exchange and share their experiences and research results on all aspects of economics, business and marketing management. It 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 the fields of economics, business and marketing management.

More than 80 persons from China, Japan, Malaysia, France, and some other countries participated in this conference. About 30 presentations including 6 plenary talks were presented. The presentations are grouped into 9 areas of particular interest: (1): Economic and monetary crisis, (2): Taxes and regulation, (3): Emerging markets issues, (4): Corporate finance and governance, (5): Asset pricing, investment, and portfolio management, (6): Financial markets, (7): Risk management and quantitative finance, (8) Econometric modeling and empirical issues, (9): Mathematical Finance.

With best regards,

Conference Organizing Chair

Tianjin, China
Analysis of the Limitations of Portfolio Theory
Authors: Wang Zilu
Published: April 2023

Portfolio theory quantifies the risks and returns in the portfolio for the first time, and puts forward effective frontier model to provide scientific and quantifiable indicators and basis for investors' investment decisions. However, the theory is based on a series of perfect assumptions, which are not true in reality. Therefore, the application of the theory in the real financial market will inevitably have limitations. This paper mainly demonstrates the defects of the hypothesis through the phenomena in China's financial market, and then explains the limitations of portfolio theory. The case study shows that the market is not completely effective. The market will cause non-random stock price fluctuations and the violation of the law of one price due to imperfect information disclosure. In addition, investors are affected by cognitive bias, and their investment behaviour is not completely rational. This study illustrates and confirms the limitations of portfolio theory, and puts forward the direction for improving the model assumptions.
Portfolio Analysis with Mean-Variance Model in Chinese Stock Market
Authors: Cheng Zinuo , Feng Xin , Qin Zhenghao
Published: April 2023

Portfolio optimization is crucial in the financial sector. The goal of this article is to analyze portfolio allocation in the Chinese stock market. This article's information was taken from Straight Flush. To obtain a greater hedging impact, we choose firms from other sectors in order to lessen the connection between their stocks. The data was analyzed using the Efficient Frontier, Modern Portfolio Theory, and Mean-Variance Model. The annualized returns of Bank of China and Maanshan Iron and Steel are negative, according to the results. Maanshan Iron and Steel is -0.029148 vs -0.068115 for the Bank of China. Great Wall Electricity is 0.173349, whereas BYD is 0.250717 and MIDEA is 0.117577. The volatility of these five equities is substantial. The Bank of China's annualized volatility is 0.34952. The portfolio with the least volatility has a cumulative return of 18.10%, and the portfolio with the largest Sharpe ratio has a cumulative return of 30.80%. This research has certain reference value for investors.
Analysis of Channel Marketing of “Gree Dongmingzhu Store” Based on Stepps Model
Authors: Kuang Yue
Published: April 2023

In order to promote and build this channel, word-of-mouth marketing of the channel is essential. In July 2019, "Dong Mingzhu store" was officially launched, and Gree began to establish new retail channels, the new retail channel was gradually mature. This paper analyzes the word-of-mouth marketing of "Gree dongmingzhu store" through the stepps model and various data of Gree. Research finds that Gree's word-of-mouth marketing in new retail channels has built a foundation in social currency, triggers, publicity, emotion and practical value, but it still needs to be refined according to the new enterprise strategy. At present, "Gree Dong Mingzhu store" has obtained part of the market in the first and second tier cities, but there is no targeted marketing for China's sinking market. In addition, it is found in the analysis of the channel that the products of "Gree Dong Mingzhu store" are stereotyped by consumers. Therefore, in view of these two problems, it is suggested to reform through social currency, publicity, practical value and stories in the stepps model.
The Development of Li Ning — How to Build a Unique Sporting Brand
Authors: Chen Yuang , Tao Wangting
Published: April 2023

In recent decades, the sporting goods industry has been rapidly growing in China and has shown great potential for further development. Former Olympic champion, Mr. LiNing, founded his own sporting brand by his own name in 1990. Within decades of development, Li Ning has made great achievement on sales and reputation among its local competitors in the fast growing industry. However, the brand also experienced huge amount of loss during its rebranding process due to failure on brand positioning. After acknowledging brand positioning mistakes, Li Ning was able to make quick reaction and applied new strategies in order to improve the brand image of Li Ning. After several years, Li Ning has become the most popular and best-known Chinese sporting brand domestically and internationally. This paper will be analyzing the cause of failure on rebranding of Li Ning, and how the brand accomplishes its achievement from three aspects — brand positioning, product quality change, internationalization, sponsorship and spokesman.
Research On Portfolio Construction for Information Technology and Communication Service Industries Based on The Monte Carlo Simulation
Authors: Qin Xuan , Shi Peiran , Ye Zixin
Published: April 2023

Attention is paid to the portfolio construction of the information technology and the communication services industries affected by the Covid-19. Firstly, the representative stocks which cover the most varieties of different market values are selected and the preliminary analysis for return performance is performed. Then, the event-study methodology is used to explore the effect of Covid-19 on the stocks chosen by this paper. The Monte Carlo simulation is also used to do the portfolio optimization. In the process of research, the Monte Carlo simulation and event study method are mainly used. Through the former one, the efficient frontier is obtained. Besides, this research also get the minimum volatility portfolio, where AT&T has the largest share of 16.33%, and the maximum Sharpe ratio portfolio, where ZOOM has the largest share of 18.79%. Then through the results of event-study, it is found that most companies generated negative abnormal returns on event date and had negative cumulative returns during the post-event window. Finally, the back test is done by comparing our portfolio with the equal weighted portfolio and NASDAQ index, and our work performs better both in the return and the risk. The results in this paper benefit the investors in the technology and communication service industries, which is especially helpful for them to do invest decision after COVID-19.
Research on the Risk Contagion Path and Prevention of Supply Chain Finance Based on DEMATEL-ISM Model
Authors: Tang Qiang
Published: April 2023

The financing risk of enterprises in the supply chain is easily transmitted in the supply chain system, leading to the overall supply chain in financial difficulties. Therefore, it is necessary to analyze the links and transmission paths of risk generation and control them in time. In this paper, 15 factors are extracted from three perspectives: supply chain environment, financing enterprise and core enterprise, and a risk assessment system for supply chain finance is established. Based on this, the coupling method of Decision-making Trial and Evaluation Laboratory-Interpretative Structural Modelling (DEMATEL-ISM) is used to investigate the influence relationship among the factors and the multi-level recursive structural analysis of supply chain risk transmission paths. The results show that the DEMATEL-ISM model can visualize the interactions among three levels of supply chain financial risks: supply chain environment, financing firms, and core firms, and identify five key influencing factors such as innovation capability of core firms in the process of financial risk generation and transmission. This paper investigates the factors affecting the generation of financial risks in the supply chain and the risk transmission paths, and provides guidance for effective control and prevention of supply chain financial risks.
Quantitative trading decision model based on LSTM neural network
Authors: Li Jiachen , Qi Zhenzhuo , Li Zhuofeng , Wang Guozheng , Peng Jiayu
Published: April 2023

As trading markets are vulnerable to national policies and economies, some investors choose to leave their assets in the hands of market traders for management. To help market traders find the best portfolio, the best trading strategies were dynamized to obtained by predicting the daily price movements of gold and bitcoin. BP neural network, time series analysis, and LSTM neural network were chosen for modeling quantitative trading decisions and modify the dynamic model of optimal trading. The LSTM neural network was used to indicate the time series because of the best fit of 0.991. And the investment weights for gold and bitcoin were calculated based on the particle swarm algorithm to be 0.09:0.91 and over the five-year trading period an initial $1,000 investment would yield $66,588.987. In addition, the optimal daily trades dynamically were re-solved by changing the values of the investment weights by 2:3, 2:1, 3:2, and 1:2 and obtained that the total number of assets of gold and bitcoin is smaller than the total number of assets with an allocation ratio of 0.09:0.91 for either allocation ratio. Thus, the model in the present paper provides the optimal strategy.
Research on the value and economic value of forest ecological carbon sequestration
Authors: Ji Zijie
Published: April 2023

Forest carbon sequestration plays a crucial role in climate change in the biosphere. we develop a carbon sequestration model, with three stages (early, middle and last stage) and five indicators; Besides, which can predict the carbon dioxide uptake of forest and its products, providing forest managers with the most effective carbon sequestration management plans. To make the model more comprehensive, we consider the various indicators of social scope, we used the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) based on the Entropy-weight Method to improve the model of evaluation and decision-making.
Price Prediction and Investment Decision Model Based on LSTM
Authors: Chen Jiaji , Fang Lintao , Xu Zhenghui , Yang Jie
Published: April 2023

In today’s market trading, quantitative trading has beneﬁted investors through frequent trans- actions. Our team will operate at $1,000, forecasting by processing data of previous years and calculating the ﬁnal earnings. For Problem 1, we based the prediction model of the LSTM neural network, trained the previous bitcoin and gold transaction price of the network algorithm, and predicted the trading market price of the next day. By comparison with the actual value, the model’s accuracy in predicting gold reached 92.3%, and the accuracy of bitcoin reached 70.5%, which are good results. Next, our team used a dynamic programming model, with the bear-bull market index reasonable divergence rate as the decision variable, to establish a system of equations for analysis. At the same time, we conducted a linear regression analysis of risk and return and used the characterization of the residual between the predicted value and the actual value to calculate the weight as the target function to describe the investment strategy under diﬀerent people’s investment personalities. For Problem 2, we performed sensitivity tests for previous models, and we randomly selected ten sets of perturbation data for prediction within a range of 5% near the decision parameters. Finally, we ﬁnd that if the investment scheme is perturbated, the maximum return of the target function will decrease, so the given scheme can be considered an optimal scheme. This paper uses LSTM neural network model for price prediction with extended memory function and good predictive. At the same time, through the suitable formulation of the bear market and bull market model and investment risk model, the rationality of decision-making is increased, and the scheme is optimal.
Research on Financial Risk Path Identification of Chinese Energy Enterprises Based on ISM-MICMAC Model
Authors: Lv Haofeng , Gao Lingyi , Tan Jinkui
Published: April 2023

As an important resource commodity related to the global economic lifeline, energy is the material basis for the survival and development of human society. With its identity as a major energy importer and consumer, China must ensure the stability of production and operation of energy enterprises, of which the identification and control of financial risks is of vital importance. Therefore, this paper first uses multiple risk identification methods to identify 9 external and 8 internal key risk factors affecting energy corporate finance in both external and internal dimensions, respectively. Then the ISM and MICMAC methods were used to construct a progressive multi-level structural model of the interactions of key risk factors, and the risk factors were classified by combining the driving power and dependence power of each key risk factor to reveal the interactions among the risk factors. The results showed that 5 partition levels were extracted from 17 risk factors according to ISM model and MICMAC analysis placed all factors into dependent quadrant and independent quadrant. This study reveals the internal relationship between risk factors and is of great significance to the financial risk identification and management of Chinese energy enterprises.
Two models for predicting stock prices in combination with LSTM
Authors: Ma Yu
Published: April 2023

In addition to its practical and theoretical significance, stock forecasting has long been a hot research topic for scholars domestically and abroad. Stock data are time-series in nature, and neural networks have achieved relatively good performance in dealing with time series problems, among which long-short-term memory neural networks are well suited to dealing with such time-series data with long-term dependence. However, the stock market is an environment that changes with the external environment, with high stochasticity and complex intrinsic nonlinear relationships between different phenomena. Relying on a single method to identify the series directly cannot fully extract the complex information of the series changes, so the combined forecasting method is proposed. One idea is to combine empirical mode decomposition (EMD) with long-short-term memory (LSTM), and another idea is to incorporate LSTM or its variant GRU into generative adversarial networks (GAN/CGAN/WGAN). After an empirical study of Guanhao Bio's stock price and Apple's stock price, both methods present better prediction results.
Contribution Analysis of Factors Affecting the Growth of Chinese Construction Enterprises Based on the XGBOOST Algorithm
Authors: Hou Yanbing , Qin Chi
Published: April 2023

The cornerstone of China's economy is the building sector. It is critical to research boosting the core competitiveness of China's construction companies in the context of challenging domestic development challenges and complex international competition. As a result, this paper aims to establish 15 influencing factors that impact the growth of construction enterprises from both internal and external dimensions and uses the XGBOOST machine learning method to analyze the contribution of influencing factors based on the macro and micro multi-faceted analysis perspective. China Vanke Group is used as the research object in this essay. The findings demonstrate that the regression model's fitting degree and goodness of fit are at their maximum, and confidence is at its highest when the number of base learners is 750. The component that significantly impacts how fast businesses grow is the total operating expense growth rate. For construction businesses to improve their core competitiveness and achieve sustainable development, this article suggests specific approaches. This study helps foster the high-quality growth of businesses, producing an improved outcome and ensuring the industrial chain's stability.
Research on Brand Marketing Model of Perfect Diary of Beauty Enterprises based on 4P Theory Framework
Authors: Hu Yanhong
Published: April 2023

At present, with the development of social media and short video platforms, Internet UGC content has become an important part of brand marketing, thus KOL and KOC marketing has become an important way of brand promotion. As the representative of China's make-up brand, Perfect Diary's brand marketing strategy has received imitation and reference from many other brands. This paper uses the 4P theoretical analysis framework of marketing to study the socialized marketing logic of Perfect Diary, while it is also able to analyze the problems in the KOL marketing process of Perfect Diary. The purpose of this paper is to provide suggestions for the marketing of new brand of KOL and KOC to better meet the needs of consumers, which could help the brand to build an efficient communication model.
Analysis of the MTA Revenue in Manhattan in Recent Years
Authors: An Runyang
Published: April 2023

This essay examines the pattern of the MTA's recent dramatic decline in revenue because of the COVID-19 pandemic. The COVID-19 outbreak has had a significant impact on MTA's annual revenue, hence this article does a thorough economic analysis. The following are the primary conclusions: People in Manhattan started to relocate to and settle in other locations like the suburbs after the COVID-19 breakout in late 2019, 2020, and 2021 when their jobs became online. As a result, the MTA in Manhattan has seen a dramatic decline in revenue. Second, citizens are staying inside during the coronavirus lockdown to prevent contracting the illness, thus the MTA's different modes of transit are being used sparingly. These factors have caused the MTA's annual revenue to drastically decrease throughout the pandemic. In addition, the MTA's revenues have been steadily decreasing in recent years due to the restrictions imposed by social distance and the agency's reliance on government subsidies. This latter piece forecasts MTA's trajectory into the future and offers tactical advice.
Research on Whether Enterprise Financialization Can Improve Enterprise Investment Efficiency
Authors: Zhang Zitong
Published: April 2023

This paper examines the relationship between corporate financialization and the efficiency of corporate investment and explores the mechanisms, taking non-financial listed companies in the Chinese A-share market as a sample. The study finds that corporate financialization has a significant positive impact on the efficiency of corporate investment. The results of the mechanism analysis show that corporate financialization can improve the efficiency of corporate investment by reducing the ability of earning cashflow, alleviating corporate interest-bearing debt and enhancing financial risk. The results of the heterogeneity analysis show that the positive effect of financialization on investment efficiency is more pronounced among manufacturing firms and firms located in non-high administrative class cities. This study has implications for the use of financialization tools by firms to serve physical investment and thus optimize their investment efficiency.
Impacts on Street-Stall Economy and Supporting Policies for Informal Workers from the Epidemic Perspective
Authors: Shi Zhouhao
Published: April 2023

Under the influence of the COVID-19 epidemic, China’s economic development is sluggish and even stagnant. In this case, the informal economy sector was significantly impacted in many ways, particularly the street-stall economy which serves as an important part of the informal economy sector. This paper analyzes the impacts of the COVID-19 epidemic on the street-stall economy and the supporting policies released by the government and relevant departments for informal workers based on an investigation of government documents. And some pieces of advice are proposed for the sustainable development of the street-stall economy and informal workers.
The Necessity and Countermeasures of Property Tax Reform
Authors: Cui Xinwen , Liu Zihan
Published: April 2023

In order to promote the development of the real estate industry, local dependence on the real estate industry presents an increasingly serious trend, which directly affects the healthy development of the real estate industry. In order to let the development of the real estate industry under the macro guidance and control to promote smoothly, the state needs to carry out the reform of the real estate tax, in order to promote the completion of the real estate tax, and let the national affordable housing construction to be comprehensively promoted. By analyzing the necessity of real estate tax reform and the existing problems in the current stage of real estate tax reform, we can work out a more feasible strategy for real estate tax reform.
Pfizer Financial Performance Analysis Report 2019-2022
Authors: Wei Yinglin
Published: April 2023

The analysis report aims to evaluate Pfizer financial performance in the last three years to provide a comprehensive analysis for stakeholders. Pfizer is a leading global biopharmaceutical giant with operations across the world. Pfizer put Research and Development at the core of business development, and owns range of exclusive patents in some key diseases area. In 2022, Pfizer generated 95% increase in revenue due to the excess demand of Comirnaty and other product categories. The skyrocketing revenue brings positive surplus to the cashflow, profitability and return ratios. In addition, business operations have improved in relation to inventory managements and turnover ratios, which are driven by corporate strategy and increasing demands. However, stepping into post pandemic times, the key business challenge for Pfizer is how to maintain growth in product sales since some of the key patent protection would be expired in the near future and the health sector is becoming more intensive and competitive.
Analysis of the Impact of China-US Trade Structure on Bilateral Relations
Authors: Xu Hanxi
Published: April 2023

From the perspective of trade structure, analyzing the impact of the Sino-US trade structure on bilateral relations has expanded the research on the impact of Sino-US bilateral relations. This paper uses a panel data model of China and the United States from 2001 to 2020 to empirically study the impact of import and export trade structures (the proportion of different categories of imported and exported goods) on bilateral relations. The study finds that the import and export trade structure of the two countries has a significant impact on bilateral relations, and the changes in the proportion of different categories of goods trade have obvious differences in the Sino-US bilateral relations. The use of the GDELT database for big data analysis and the division of trade structure based on SITC codes helps to analyze bilateral relations between countries. This study enriches the research on the relationship between China's import and export trade and bilateral relations, and provides a certain value reference for academic research and policy formulation for the academic community and policy makers.
Financial Performance Evaluation of Kweichou Moutai Based on the Comparison of Companies in Liquor Industry
Authors: Zhu Yaomeng
Published: April 2023

The liquor industry has rebounded in recent years, especially in the high-end liquor market competition (represented by Kweichou Moutai and others) has gradually stabilized. However, many liquor companies are still facing multiple challenges due to the macro environment and industry environment. Therefore, this paper explored the financial situation of representative enterprises in the high-end liquor industry, selecting three listed high-end liquor companies as the research sample and conducting factor analysis based on their financial report data from 2019 to 2022 to rank the performance of the enterprises, focusing on the competitiveness issues of the industry leader Kweichou Moutai. According to the anlaysis, Kweichou Moutai had a significant advantage in profitability. Conversely, Moutai's growth ability was a shortcoming that needed to be focused on. This paper offers an in-depth analysis of Kweichou Moutai's weaker growth capability so as to provide a reference for each liquor company to improve its market competitiveness and the healthy development of the liquor industry.
Coffee Industry Investment Analysis Based on Indicators: Evidence from Dutch Bros., Starbucks and Luckin Coffee
Authors: Wu Yingqi
Published: April 2023

Coffee industry has developed for dozens of years and coffee is very popular for workers and students. However, due to the spread of COVID-19, the operation of coffee industry has been greatly impacted. This paper selects three company of coffee industry as samples to give investment analysis and suggestions. This paper uses the data collected from Yahoo Finance and basic formulae of six indicators (i.e., debt-to-equity ratio, cost of equity capital, levered beta, unlevered beta, weighted average cost of capital and return on assets). From the comparation results, Dutch Bros. was at economic loss. Starbucks had high liability but it won’t affect its normal operation and this corporation had relatedly impressive return rate. Luckin Coffee was at the stage of steady development but it had potential for progress because of its operating philosophy. This paper aims to analyze and compare the indicators of three companies in 2021 and then gives economic evaluation and investment suggestions. These results provide reference for future academic research and investment.
Big Data Analysis Implementation in Consumer Behavior
Authors: Shan Tiantian , Shen Keyu
Published: April 2023

In the era of mobile Internet, short video has become a leader among them in just a few years. With the increasing number of users, a new e-commerce model has also emerged. This article will use big data to analyze two well-known Internet companies in the e-commerce industry, i.e., Xiaohongshu and Douyin. To be specific, we will focus on the impact of their marketing models on consumer behavior, analyzing the pros and cons, and seeking effective improvement measures. According to the analysis, further understanding of the emerging e-commerce model will be presented. In addition, a better understanding of consumer psychology will also be demonstrated. Meanwhile, we realize the limitations of this e-commerce model, and put forward corresponding effective suggestions. It is conducive to creating a good online shopping environment and regulating bad behaviors as well as to better safeguarding the rights and interests of consumers. These results shed light on guiding further exploration of consumer behaviors in the e-commerce industry.
Analysis of the Problems Between International Investment Law and the Protection of Labor Rights of Multinational Companies - A Case Study of "Sweatshop"
Authors: Wang Jingyi
Published: April 2023

In recent years, under the influence of economic globalization, the development of international law has also shown a corresponding humanistic trend. That is, while solving problems from the perspective of the country, it also began to pay attention to the protection of the well-being of individual citizens and the whole society. This paper uses the case analysis method to consider the problems between international investment law and the protection of multinational company labor rights and interests by analyzing the specific cases of "sweatshops". In the study of sweatshop cases, the author found four main reasons for the formation and spread of sweatshops, as follows: 1. The management system of enterprises; 2. The supervision of the government and trade unions has not been implemented; 3. Jurisdiction is unclear in international law; 4. The legislation on labor rights is not perfect in international investment law and international trade law. And put forward the corresponding suggestions for the four problems found.
Big Data Analysis in Video Websites: Evidence from Bilibili and YouTube
Authors: Wang Siyu
Published: April 2023

Contemporarily, society enters the era of high-tech information technology, and big data is the product of the rapid development of information technology. Big data with the characteristics of Volume, Variety, Velocity, Veracity and Value plays an important role in various industries. It optimizes business processes, improves business quality, guides industry innovation, and ultimately provides convenience and better services for mankind. The development of Internet technology, communication technology, data transmission technology and smart terminal technology has contributed to the rise of video websites. More and more people choose to watch video in the websites to entertainment (e.g., YouTube, Tik Tok and Bilibili). Personal recommendation is one way to get viewers to stay and enhance viewers stickiness. In this paper, big data and video websites are linked. The role played by big data techniques in personalized push and provide differentiated services for viewers of video websites will be discussed. In addition, the limitations of the state-of-art big data technologies combined with the development status of video websites are analyzed. Overall, these results shed light on guiding further exploration of video websites using big data techniques to improve the business and user experience and find future directions.
Risk Analysis for Baijiu Industry Based on CAPM Model during COVID-19
Authors: Sun Haoxiang
Published: April 2023

Chinese Baijiu industry has always been a popular investment choice. Since 2020, the scale of COVID-19 has been further expanded, followed by a gradual increase in the risk, therefore, calculation and analysis of the risk in Chinese Baijiu industry has become a priority. In this paper, the CAPM model is utilized for empirical research. Taking the 3-year interest rate of national debt as the risk-free interest rate, the opening and closing prices of Kweichow Maotai Co., Ltd, Shanxi Fenjiu Co., Ltd and Kouzijiao Co., Ltd, and Shanghai composite index and Shenwan Baijiu Industry Index from 2019 to 2022 are selected to calculate β, and the risk degree is determined according to the β range. According to the analysis, during the three-year pandemic, the expected rate of return of investment in the Chinese Baijiu industry is higher than the average market rate of return, and the risk level of Chinese Baijiu industry is higher than the risk of the entire market portfolio. In addition, the overall systematic risk of Chinese Baijiu industry is low. The research offers a guideline for investors in the A-share market to understand the real situation of companies in the Baijiu industry in all aspects and provide scientific value guidance for investors who prefer to make equity.
Analysis on the Value of Enterprise Investment of Starbucks and Luckin
Authors: Zhuang Jinghan
Published: April 2023

Since the COVID-19 pandemic, the black swan event has dealt a severe blow to the global economy and dramatically reshuffled the coffee industry. It is crucial to consider the way to survive for many coffee companies. Based on the current situation of Chinese coffee market, this paper uses DCF model to conduct valuation analysis on two representative enterprises, Starbucks and Luckin. Starbucks, as the world's leading brand of freshly ground coffee, has a sound operating and financial position. Luckin, as an emerging coffee company, is expanding rapidly with increasing sales and strong profitability in the future. Based on the discounted cash flow and the calculation of residual value, this study finally obtains the internal earnings per share, which help investors make the decision whether to invest. According to the analysis, Starbucks’ stock is currently overvalued and not a good choice to buy. Luckin's stock is suitable for medium - to long-term investment, and investors with a certain risk tolerance to buy. These results shed light on guiding further exploration of the future development of coffee enterprises and the investment direction of investors.
China’s Post-reform Development Strategy and Traditional Economic System in the New Structural Economics Perspective: Formation and Impacts
Authors: Cai Tianci
Published: April 2023

Since the reform and opening up in 1978, China has developed rapidly and become the world's second-largest economy. However, during the post-reform era, China was once considered as one of the poorest countries in the world. Though it appeared a fast growth rate of GDP driven by the construction of heavy industry, its excessive industrial structure and the resulting economic structure brought huge obstacles to its economic development and improvement in people’s living standard.
About The Unemployment Economic Welfare Strategy Based On The Economic Crisis Under The Pandemic
Authors: Liao Zijun
Published: April 2023

With the development of the world economy, people's quality of life has improved. The economic welfare of various countries is also constantly improving. Economic welfare can not only help unemployed residents to alleviate their living difficulties and solve the basic survival problems of residents, but also help enterprises in difficulty to relieve the economic pressure. For countries under the pandemic, economic growth is slow or even negative. Many countries have severe inflation. Higher inflation leads workers to demand higher wages, and producers can only make profits by laying off workers or raising prices. This leads to the increase of many residents without living pressure, the number of poverty and unemployment greatly increased. It is economic welfare that can alleviate such problems, as will be mentioned in this article if economic welfare policies are implemented more rationally. We will start by analyzing the changes in economic growth and unemployment rates in different countries under the pandemic. There will also be a focus on economic welfare practices in relation to countries with different economic growth rates and their unemployment rates
Credit Risk Prediction of Listed Companies Based on Smote-RF-Catboost
Authors: Wang Aohan , Li Ziyi , Zhuang Yan
Published: April 2023

The credit risk of listed companies is the focus of attention in the field of financial risk, and accurate identification and prediction of credit risk is of great significance to the healthy development of China's financial market and the smooth operation of the financial system. In this paper, a Smote-RF-Catboost method is proposed to study A-share listed companies in China, which selects 23 indicators that can comprehensively reflect the financial situation of enterprises to build an index system, combines Smote (Synthetic Minority Over-Sampling Technique) over-sampling to achieve sample equilibrium, and uses Random Forest feature importance to select features. Finally, the Catboost algorithm is used to predict the credit risk. The empirical results show that the prediction accuracy and AUC value of the test set are above 0.95, and the prediction performance is high, which provides a new way for financial institutions and related practitioners to analyze and predict credit risk.
Intel's Acquisition of Tower Semiconductor: Will Foundry be the Future of Intel
Authors: Shen Ruixin
Published: April 2023

Under the background that the semiconductor industry receive attention due to the fierce international competition, this paper analyzes the event of Intel's acquisition of Tower Semiconductor, lists the development situation and acquisition objectives of Intel, and analyzes the impact of this acquisition through SWOT. Although this acquisition is in line with Intel's IDM2.0 strategy of developing foundry business and improving manufacturing capacity, due to the limitations of technology, market share and other factors, Intel cannot rely on foundry business for future development and should still take technological innovation as the top priority. At present, there is no paper on the systematic analysis of Intel's acquisition, so the purpose of this paper is to clarify the significance of this acquisition and try to put forward suggestions for Intel's leaders. For Intel, it needs to take technological innovation as the development orientation and further integrate its internal industrial layout in order to stand out in the fierce competition in the semiconductor industry.
The Future Development of Shanghai as A Global Centre City: A Comparison with New York City
Authors: Wan Jialu
Published: April 2023

Shanghai, China can be one of the world's economic hubs, and the Shanghai government has enacted a new policy in recent years - Shanghai steps up the pace on readying five 'new cities' for investment - which will enable the city's economy to grow further. New York, which is also the center of the world economy, is not as good as Shanghai under the new policy. The main source of the problem is that Shanghai’s city area is 8 times larger than New York, and with the development of new areas and the renovation of old ones of Shanghai City, the resources and urban area of New York become the main problem.
The Wealth effect of the acquisition: Analysis Based on Microsoft’s acquisition of Nuance
Authors: Hong Cen
Published: April 2023

On April 12, 2021, Nuance, acquired company,bought by Microsoft in $16billion. Trough event and SWOT analyses, the paper studies Microsoft’s acquisition of Nuance. This is the Second largest acquisition case in the history of Microsoft, what’s more Microsoft accelerated into the medical area. During the corvid-19, the acquisition can make sense to a company’s development. From the view of the strategic adjustment, Microsoft’s acquisition of Nuance is to expand ecosystem of medical care. Microsoft is good for covering the medical market. What’s more, the the binding of Microsoft and the Nuance can deal with the problem of the telemedicine solutions. However, due to the advantages coming from early placement, not the ability to consistently building technical barriers and keeping up with market demand, he acquisition is sick in the patent applications, market share and the market revenue. However, acquisition is sick in that the barriers of the technology was going to be broken down. At the same time, the opportunity comes from the overall digital transformation of the medical industry in recent years. Microsoft have to pay attention that business model in need of transformation, revenue performance is poor, per capita output is low . The investment advice is that Microsoft’s acquisition of Nuance is a good deal The strategic value of voice interaction in the era of AIoT has been unprecedentedly increased, and the global technology giants are becoming increasingly fierce in their pursuit of this strategic plateau.
A Research on Neural Network and An Improved Model For Stock Prediction
Authors: Dai Tianze
Published: April 2023

In this paper, Back Propagation Neural Network (BPNN) and Firefly Algorithm-Back Propagation Neural Network (FA-BPNN) are studied for the purpose of stock price prediction. The result shows that, compared with BPNN, the average prediction time of FA-BPNN increases by 3.2239s, the average relative prediction accuracy increases by 1.2739 %, and the corresponding variance decreases by 0.0003. It shows that the prediction accuracy obtained using FA-BPNN is higher. This is because the weighted value of FA-BPNN can effectively find the extreme value of the loss function, thus avoiding local optimum. But the prediction time is slightly longer, because the algorithm needs to sacrifice the tracking time in order to improve the prediction accuracy. Meanwhile, the variance corresponding to the relative prediction accuracy of FA-BPNN is the smallest. This demonstrates that the prediction effect of FA-BPNN is superior, and the prediction results are more stable and robust after each training. The above outcomes demonstrate that the FA-BPNN model has excellent performance in short-term stock forecasting. It has some feasibility and can be of use to stock market investors.