bluuebunny/crossref_metadata_2025 huggingface dataset:
Influence of Brand Image on Consumer Behaviour
Authors: Zou Yi
Published: November 2023

This study explores the relationship between brand image and consumer behavior from the perspective of consumers. It consists of three parts. The first introduces the establishment and maintenance of brand image. The second reviews and analyzes the relationship between brand image and consumers. The third part reviews and analyzes the impact of brand image on consumer purchasing behavior. Brand and marketing are both very important to enterprises. Brand and marketing support each other, complement each other, jointly serve the market.
Portfolio Optimization by LSTM with a Selection of Six Stocks
Authors: Song Dailin
Published: November 2023

As the financial industry undergoes continuous evolution, efficient asset allocation has become increasingly crucial. However, traditional methods employed for portfolio optimization are often deemed inefficient and in need of improvement. To address this, recent advancements in deep learning techniques provide a promising perspective to tackle portfolio optimization, offering new possibilities for maximizing returns or minimizing risk based on specific objectives and constraints. This study delves into the analysis of stock data from six distinct industries. By utilizing the LSTM model and employing the Monte Carlo method, efficient frontier, and other advanced techniques, a training set is constructed to generate predictions using the first 80% of the data. For testing purposes, the remaining 20% of the data is utilized to assess how well the created portfolio performed. Various performance metrics such as portfolio returns, volatility, Sharpe Ratio, and maximum reduction are calculated to assess the effectiveness of the LSTM-based portfolio. Additionally, a comparison is made against other benchmark portfolios or strategies. The results for evaluation show that the LSTM-based portfolio outperform the commonly used benchmark model. This study illuminates the potential of deep learning in the financial industry, presenting groundbreaking applications that offer novel portfolio allocation strategies.
The Impact of Benchmark Interest Rate towards Loan for the Housing Price A Case in Beijing and Shanghai from 2011 to 2015
Authors: Wang Yi
Published: November 2023

The housing market in China has been booming for two recent decades, and housing issues gradually become one of the most important concerns of the residents in China as the housing price was rising dramatically. This paper would analyze the influences between the housing price and the benchmark interest rate in two major first-tier cities of China, Beijing, and Shanghai from 2011 to 2015 before the interest rate reform in China was completed, by conducting data analysis in the regression model. It is found that the benchmark interest rate for loans has an important role in influencing housing prices. Finally, this paper would help make a clear and better understanding of the mechanism of the Chinese benchmark interest rate for loans, and how Chinese governments used it to sort out residential accommodation issues by comparing it to the recent Benchmark interest rate (LPR).
Portfolio Optimization Based on the LSTM Forecasting Model
Authors: Li Heqing , Liu Ting
Published: November 2023

The prediction of stock performance is a crucial component in formulating investment portfolios and optimizing portfolios within the realm of quantitative trading. However, the inherent unpredictability and volatility of the stock market pose significant obstacles for investors in accurately predicting stock performance. To build an optimal portfolio, the LSTM model is selected as a forecasting technique. Subsequently, data sourced from Yahoo Finance is acquired for training and testing purposes. Based on the prediction data, the paper applies the maximum Sharpe ratio model and the minimum variance model to reach portfolio optimization. Finally, the paper uses the S&P 500 index as a standard to evaluate the constructed portfolio. The results indicate that the LSTM prediction model has effective functionality and exhibits superior performance in the domain of data forecasting. In addition, the minimum-variance optimization and the maximum Sharpe ratio models explore optimized return and minimized risk in portfolio construction. The constructed portfolio outperforms the S&P 500 in terms of risks and returns. Therefore, the results in the paper are good for investors to reduce risk and increase return in portfolio construction.
Motivation, Business Ecosystem and Driving Synergies: The Strategic Merger of Dianping and Meituan
Authors: Zhao Chengcheng
Published: November 2023

The landscape of the Chinese service business has been drastically altered by the combination of Dianping and Meituan. This study investigates the research background, substance, goal, importance, and policy suggestions while exploring the key results and fundamental concepts associated with this merger. The background research focuses on the dynamics of competition and the reasons for the merger in the Chinese service sector. The research looks at how the merger will affect consumer satisfaction, service diversity, and market share. It also looks at how combining resources and knowledge may improve both operational effectiveness and competitiveness. The goal of the research is to make legislative suggestions to maximize the benefits of the merger while also delivering insights for investors and business executives. These suggestions place a strong emphasis on the value of innovation, customer-focused tactics, and fair competition. The research also recommends that investors keep a careful eye on market movements and adjust their strategy as necessary.
Analysis of the Effect of COVID-19 Pandemic to US Unemployment Rate
Authors: Li Qiyuan
Published: November 2023

On April 2020, one year after the first reported case of COVID-19 in 2019, the United States reached its highest unemployment rate in the recent 20 years. The effects of it on the US citizens, therefore, raise the interest of many academics. This essay analyzes the impact from three aspects: the labor market structural change, physical burden and psychological burden. All these will accentuate the existing inequality, and unequal access to resources, opportunities, and wealth, creating a cycle of poverty. In order to address these problems, the suggestions also separated into three areas, including promoting remote work as a path to reduce income inequality; policy measures such as expanding healthcare insurance coverage for addressing health inequality; policy intervention such as expanding unemployment benefits to address mental health inequalities. The suggestions can provide policymakers insight into the current social situation under the pandemic, thus making adequate decisions to mitigate the effects of COVID-19.
Strategies and Effects of Luxury Goods in Metaverse Market Marketing: A Study from the Perspective of Consumer Engagement and Brand Awareness
Authors: Shang Zixuan
Published: November 2023

The metaverse, an aggregated virtual shared environment born from the intersection of breakthrough technologies such as virtual reality (VR), augmented reality (AR), and artificial intelligence (AI), emerges as a revolutionary stage for brand advertising. The advent of the COVID-19 pandemic expedited digital transformation, compelling brands to venture into creative marketing strategies within this virtual arena. While few studies have forayed into metaverse marketing, a holistic understanding of marketing techniques and their efficacies, especially in luxury brands, remains largely uncharted. This research addresses this lacuna, probing consumer behavior, and luxury brand promotional strategies within the metaverse while gauging their influence on market performance. This study adopts a hybrid research approach amalgamating survey questionnaires and literary analysis. Findings highlight a significant youth demographic within the metaverse. However, they simultaneously reveal that the degree of engagement and recognition of luxury brand promotional initiatives within this virtual world is relatively modest. This research also proposes that present luxury brand promotional strategies exert limited sway over actual purchasing decisions within the metaverse, signaling the necessity for further innovative and adaptive strategies to cater to this novel market landscape. With additional insights and in-depth observations, this research expands the understanding of luxury brand marketing in the metaverse, providing an empirical basis for further study and strategic development in this rapidly evolving digital environment.
Discuss the Motivations and Risks Behind Microsofts Acquisition of Activision Blizzard
Authors: Zhang Haolei
Published: November 2023

With the rapid growth of the gaming sector and advancements in technology, the global gaming market has reached unprecedented heights, capturing the attention of millions worldwide. Simultaneously, the concept of metaverse has become a topic of intense discussion, holding the promise of transforming virtual experiences. This paper study thoroughly examines Microsoft's strategic move to acquire Activision Blizzard, scrutinizing its multifaceted impact from various perspectives. Motivated by the pursuit of synergy effects, market expansion, and preparation for the metaverse, Microsoft aims to harness the potential of Activision Blizzard's intellectual properties and fortify its gaming portfolio, potentially positioning itself ahead of Sony in the fiercely competitive gaming console market. Nevertheless, the integration of diverse corporate cultures and the ever-present specter of antitrust scrutiny pose significant challenges on the horizon. This compelling case study offers invaluable insights into the decision-making processes of major corporations, shedding light on the intricacies of the dynamic gaming industry and the unfolding metaverse landscape. As the gaming realm and technology continue to thrive, this landmark acquisition becomes a pivotal example in understanding and navigating strategic business decisions in the rapidly evolving digital era.
An Overview of the Composition and Management of Brand Equity
Authors: Hu Shuyi , Zhang Fangyu
Published: November 2023

The definition of brand equity has been gradually improved, but the existing studies are mostly case studies and unilateral studies, and the studies that integrate and sort out brand equity from multiple perspectives are relatively rare. By reviewing and sorting out the international literature on brand equity, this paper summarizes the definition, components, evaluation methods and prospects of brand equity, in order to promote the better development of corporate brand equity. The article holds that it is very important to use publicity channels effectively to stimulate consumers, establish effective brand association, and enhance brand awareness and recognition to enhance brand value. In addition, brands need to segment the market and strengthen brand trust in a targeted way. And establishing a consistent and effective brand image helps to enhance brand awareness and brand recall, as well as promote brand loyalty. At the same time, for high-equity brands, brand extension and expansion is also particularly important.
Shanghai Stock Exchange Composite Index Prediction Using Macro Variables Based on ARIMAX Model
Authors: Zheng Liyu
Published: November 2023

Stock market prediction has always been a prevailing topic among investors and researchers. Among numerous market index, the Shanghai Stock Exchange Composite Index (SSE Index) is recognized as one of the most indicative stock indexes in China's A-share market. As it is discovered that the fluctuations of SSE index and exchange rate (USD/CNY) displays highly similar pattern since the subprime mortgage crisis, this study aims to use macro variables (including exchange rate) to predict the SSE index based on ARIMAX model. The data are collected since 2006 and based on which ARIMA (14,1,4) model is generated. Distinct macro variables are added in this ARIMA model respectively and it concludes that the incorporation of exchange rate with certain lags can significantly increase the fitting degree. Cross validations on different lengths of validation sets are implemented, which shows that the model can make accurate forecast in relatively short term. The result manifests increasing accuracy when incorporating certain explanatory regressive factors, which might provide valuable and enlightening information in short term for researchers or investors.
Research on the Marketing Positioning and Strategy Optimization of Wahaha
Authors: Rong Sibei
Published: November 2023

Wahaha used to be the leader in the beverage industry, but according to Foodailys online data, Wahahas turnover has been declining since 2013. As a company with high commercial and social value, Wahaha deserves attention. Therefore, the author analyzes the current situation of Wahaha and makes appropriate suggestions for the situation. Wahaha is currently managed by Qinghou Zong and her daughter Fuli Zong. Wahaha has helped boost its performance growth through Fuli Zongs strategy change of younger Wahaha, but Wahaha still has problems. This paper mainly studies the main reasons for Wahahas turnover decline. It includes the mismatch of product consumer groups, markets, and positioning, as well as the lack of main products to replace the old ones. This paper suggests Wahaha promote its future market development from population, market, and product positioning, design targeting, four major measures, and creating products instead of commodities. This article, through analysis and suggestions to promote Wahahas market share and increase its weight in the minds of consumers.
Analyze the Impact of the Digital RMB on International Payments and Financial Structure Based on Literature Review
Authors: Li Jiacheng
Published: November 2023

With the development of network technology and digital economy, the demand for convenience, security, inclusiveness and privacy of retail payment is increasing. Central banks or monetary authorities in many countries and regions are actively exploring ways to digitize fiat money to meet this demand. The Chinese government has decided to introduce digital RMB as a digital form of legal tender to enhance the payment experience, strengthen financial supervision, promote economic transformation and financial technology innovation and application. The introduction of digital RMB helps to reduce the cost and risk of traditional cash flow, promote the upgrading of payment methods and the development of digital economy. Based on the comprehensive and systematic collection, collation and analysis of the relevant literature in the field of digital RMB, this paper explores the impact of digital RMB on international payment and financial structure. The study found that digital RMB has international security as a payment tool, which can promote cross-border transactions and change the global payment system. Digital RMB can enhance international financial security and affect the implementation of financial policies in various countries.
Battle for the Lead: Analysis of Coca-Cola and Pepsi from Financial Performance
Authors: Qian Yifei
Published: November 2023

This paper comprehensively assesses the financial performance of two industry giants, Coca-Cola and PepsiCo, in the carbonated beverage industry. With their rich histories, distinct business strategies, and longstanding competition, these two companies have drawn significant attention from researchers. This paper aims to delve deeper into their financial performance, examining key aspects such as profitability, efficiency, liquidity, solvency, and market value. Drawing on financial statements from 2019 to 2021, this paper employs various matrices to evaluate the performance of both companies on a year-on-year and a like-for-like basis. The findings indicate that Coca-Cola possesses a robust portfolio of soda brands, surpassing PepsiCos billion-dollar soft drink brands. However, PepsiCo showcases a superior ability to innovate and navigate risks within the industry. Conducting a comprehensive assessment of the financial performance of Coca-Cola and PepsiCo can significantly enrich the existing body of research.
Income, Trade Openness, and Carbon Emission: Comparative Analysis of Continents and Trade Regions
Authors: Chen Yanzi
Published: November 2023

Trade is one of the significant contributors to carbon emissions because it promotes transportation and merchandise production. With the threat of global warming, it is essential to study how trade influences carbon emissions and what are the potential solutions. This paper tests the correlation between trade openness and carbon emissions in different continents and regions. Using panel data analysis, the regression result suggests that the relationship is positive in Africa, South America, Asia, and North America, while it is negative in Europe and Oceania. Moreover, positive relationships are also observed in afCFTA (African Continental Free Trade Area) and non-afCFTA, while EU (European Union), non-EU regions, GCC (Gulf Cooperation Council), and non-GCC regions display negative trends. The result verified that developed regions are generally more efficient at carbon emissions compared to under-developed ones. Therefore, high-income continents need to aid low-income continents with carbon reduction. Countries located on a low-income continent should insert more effort to reduce emissions when they intend to boost trading with other countries. The regression coefficients also suggest that non-EU and non-afCFTA countries should join the free trade agreements from an environmental aspect. All regions should not neglect emissions when trading and adopt strategies based on local characteristics to combat the increasing global emissions together.
Comparison and Research on Basic Modern Medical Systems in China and America
Authors: Wang Yirui
Published: November 2023

Since entering the 21st century, China's progress in modern medical systems is very obvious, and it has gradually narrowed the gap with developed countries. However, in the field of modern medicine, China's start is decades later than Western countries, so there are still some gaps. This report will start from three aspects: Sino -US modern medical system structure, medical insurance system, and medical supervision, comparing and analyzing some primary data, the following three suggestions are put forward: further, diversify the medical and health system with Chinese characteristics; improve the basic medical unit based on the community construction to reduce the waste of medical resources; simplify and improve the drug registration and approval process, to apply it to the grassroots as soon as possible. This report aims to conduct a comparative analysis of the modern medical systems in China and the United States, find solutions that can be improved, and improve the modern Chinese medical system.
The Influence of Low Carbon Economy on the International Competitiveness of the Chinese Automobile Industry
Authors: Jia Fan
Published: November 2023

With the burgeoning global concern over climate change, nations around the world are vigorously embracing the low-carbon economy. As the primary exporter of automobiles, China faces significant carbon emissions, a factor that substantially diminishes its product competitiveness in the international market and hampers efforts towards sustainable environmental development. This research paper focuses on discussing the impact of a low-carbon economy on the international competitiveness of Chinas automobile export. Through qualitative analysis, the study primarily reviews existing literature, highlighting the crucial roles played by technology factors, demand structure, and capital in shaping the industrys international competitiveness. This paper finds an inverse correlation between the average fuel consumption and Chinas automobile industrys revealed comparative advantage. This suggests that fostering a low-carbon economy could potentially enhance international competitiveness in global trade. The findings of this research hold significant implications for policy makers that they can utilize this knowledge to formulate strategies aimed at reducing carbon emissions. Hence, it propels the progression of a low-carbon economy and elevates the worldwide prestige of China's automobile industry.
Analyzing Tthe Current Situation of Eastbuy Based on Marketing Mix Theory of 4Vs
Authors: Feng Ziyan , Yang Zijun
Published: November 2023

With the development of sale through live streaming which means selling products to consumers in the form of live streaming, more and more enterprises join this business. As a result of the double reduction policy, which is aimed at decreasing the amount of time that students in required education spend working outside of the classroom. An educational institution called New Oriental started working on a new marketing strategy that includes entering into the live streaming market and producing knowledge-based live broadcasts. Knowledge-based live broadcast is the process of selling products to customers through the transmission of product-related knowledge to consumers. This study's objective was to investigate that based on a SWOT analysis, this paper evaluates the current situation of live broadcast accounts and makes recommendations for future growth, using Oriental Selection as an example, the effect of 4V (Variation, Versatility, Value and Vibration) on purchase intention. This paper utilized 4V Marketing Mix Theory and SWOT Analysis to analyze the Vs under Strengths, Opportunities, Weakness, and Threats how to effect on purchase intention. This research concludes that variation such as lowest price and knowledge-based live broadcast can be Eastbuys strength to increase consumers purchase intention; the small target consumer became Eastbuys weakness which decrease purchase intention; increasing the interaction between consumers and enterprise(vibration) is an opportunity which may increase the purchase intention in the future; the sole products of Eastbuy and easy to be copied sales model becomes the threaten which may bad for the company.
Overview of Background and Methods for Green Transformation of Yunnan Province's Big Health Industry
Authors: Li Ruiqi
Published: November 2023

Through the efforts of the 13th Five Year Plan, the health level of the Chinese people has continuously improved. Guided by policies such as the 14th Five Year Plan and Healthy China 2030, China's major health industry has flourished. While paying increasing attention to health issues, China also emphasizes the improvement of its living environment and adheres to the path of sustainable development. Yunnan Province has made outstanding achievements in the construction of the big health industry due to its geographical environment and other advantages, and the green transformation and upgrading of the big health industry in Yunnan Province has also played a leading role. In this context, this article studies the background and methods of the green transformation of the big health industry in Yunnan Province, China. By studying the necessity of the big health industry in Yunnan Province, it summarizes the current situation of the big health industry in Yunnan Province, analyzes the obstacles to its green transformation, and summarizes the successful ideas for the green transformation of the big health industry in Yunnan Province, providing reference for the transformation and upgrading of other enterprises.
The Impact of ESG Performance on the Value of Chinese Firms
Authors: Liu Zhuman
Published: November 2023

Environmental, Social, and Governance (ESG) measures and ratings are more and more important as sustainable investing takes center stage in many markets for capital allocation recently. This study empirically analyzes the effects of ESG performance on corporate value. The paper chooses data from 1375 A-share listed companies in China between 2011 and 2021 and sets up a four-factor capital asset pricing model to analyse ESG factors effect. According to the findings, an enterprise's value increases as its ESG performance increases, but the effect of ESG on companies value is not marked. The heterogeneity analysis reports that ESG performance has a varying effect on enterprise value depending on the industry, and it has a more significant effect on enterprise value when there is policy intervention in an industry. This study provides empirical support for listed firms to pay attention to and enhance ESG performance, as well as clarifies the economic impact of ESG performance.
Research on Green Finance Facilitating Enterprise ESG Development
Authors: Chen Wei
Published: November 2023

While past studies have focused on the emergence and application of green finance as a contemporary financial concept, little attention has been given to its relationship with environmental, social, and governance (ESG) performance. Green finance and ESG intertwine systematically and complexly, making it essential for organizations to employ suitable coordination frameworks to facilitate the control of the relationship. This research paper aims to explore how advancements in green finance research facilitate ESG development. Using a secondary research literature review approach, the research paper expounds on the conceptual foundation of green finance and ESG, the intersection between green finance and ESG, and the influence of green finance in environmental stewardship, corporate social responsibility, and enhancing organizational governance. The assessment identifies and outlines the future investment consequences of green financing, including how it will influence the establishment of circular economies at the organizational and national levels. The results underline the crucial importance of facilitating further research on green financing.
Research on Cross Border Marketing Strategies for International Brands in the Chinese Market
Authors: Zhang Xuezhen
Published: November 2023

The revenue and profit of the luxury goods industry have been increasing continuously in recent years. Growth continues even during COVID-19. This paper adopts literature review method, takes international luxury brands as the research object, and studies the marketing strategies of luxury brands. Starting from macro environmental analysis, it analyzes the cross-border marketing environment of International luxury brands and then points out the shortcomings of their cross-border marketing, including cross-border neglect of innovation depth, Poor choice of co-branding, and a lack of systematic channel cross-border. Finally, some improvement suggestions are put forward for the cross-border marketing of international luxury brands. Luxury brands should dig out the brand connotation of cross-border culture, expand the diversified operation of cross-border channels, and enhance the effectiveness of cross-border marketing communication. This can increase the added value of the brand, increase brand awareness, and attract more potential consumers.
Research on China's Fertility Decline and Economic Sustainable Development
Authors: Yang Shuhan
Published: November 2023

China's social development has been influenced by a myriad of factors, including labor force dynamics, population aging, and economic growth. Notably, the gradual decrease in the birth rate has emerged as a critical concern, warranting in-depth analysis of its implications. This paper delves into the current state of China's birth rate, identifies the challenges associated with it, and explores its impact on the nation's comprehensive national strength. This paper conclude that the effect of the birth rate on the sustainability of China's economy. As the domestic consumer base dwindles, economic growth may face obstacles due to reduced domestic demand. Additionally, a higher dependency ratio, with fewer workers supporting a growing elderly population, could further strain public resources and social welfare systems. In light of these challenges, this abstract offers recommendations to address the declining birth rate and its impact on China's economic development.
The Impact of China Economic Policy Uncertainty on CSI 300: An Analysis of the Mediating Effect of Investor Sentiment
Authors: Huang Lingui
Published: November 2023

This paper explores the mediating effect of investor sentiment on the relationship between China's economic policy uncertainty and the CSI 300 stock market returns. The study employs Principal Component Analysis (PCA) to construct the investor sentiment index, integrating six proxy variables. Additionally, the bootstrap analysis method is utilized to examine whether investor sentiment acts as an intermediary in determining the impact of economic policy uncertainty on stock market performance. The findings reveal that a significant portion (87.0%) of the total effect of economic policy uncertainty on stock returns is mediated through investor sentiment. The study underscores the pivotal role of investor sentiment in financial market behavior and emphasizes the need for policymakers to consider its influence during economic adjustments. Furthermore, it provides crucial recommendations for individual investors, promoting informed and rational decision-making in the dynamic financial landscape.
Digital Transformation and Resilience in Global Supply Chains: A Comprehensive Review and Future Directions in the Post-COVID-19 Era
Authors: Wang Yixuan
Published: November 2023

Supply chains have been severely affected by the epidemic, which has an impact on shareholder value and corporate performance. Effective management of company continuity can be a potent instrument for reducing damage to operations and reputation. This study investigates how disruptions in global supply chains spread and how they affect the ecosystem. It emphasizes how crucial it is to comprehend these interactions because they may have an effect on not only the impacted organization but also its rivals, clients, and suppliers. With the help of digital technologies, businesses are now better able to handle information, improve integration, and increase supply chain resilience. They have the potential to improve resilience in the wake of unanticipated events like pandemics by promoting traceability and adaptability within the supply chain. The assessment urges enterprises to speed up the adoption of intelligent technology and automation as it comes to the post-COVID-19 age in order to increase the supply chains' resilience, sustainability, and robustness. Additionally, it suggests tactics like geographic supply chain redistribution, supplier network diversity, and the adoption of circular economy principles.
Wind Power Development in China Case in Qinghai-Tibet Plateau
Authors: Xi Chencheng
Published: November 2023

As the technology develops, coal becomes the most popular energy source with its low price. The burning of the coal produces greenhouse gas which can severely polluted the environment. Policies were made for countries to reach their fore emission reduction. Wind power is a good replacement for coal burning to China, one of the largest consumer countries for coal. China been through 3 stages in developing wind energy, from 1986-2005, China mainly focuses on introducing foreign technology; From 2005-2010, Chinese government begins to develop its own wind energy technology. Since 2010 China has developed of a complete wind energy industry chain. Till today, China already has mature wind energy technology and is starting to implement it, after. et al. investigation, the Tibetan Plateau is a very suitable area for building wind energy, they have higher altitude areas, and the wind speed can be as high as 14m/s, the local area also possesses environmental pollution problems due to the burning of cow dung in winter as fuel. DFIGs and DDPMGs are two models that leading team found capable of working in the wind speed instability area. With Zhang et als research shows the construction of the wind power factory to reach zero emission needs twos times copper and nickel materials that earth has. The environmental impact of constructing wind factories and the availability of different metals will also be a concern in the future.
The Impact of the COVID-19 Pandemic on Major Air Quality Indicators in China and the United States
Authors: Xue Mingfu
Published: November 2023

After the COVID-19 pandemic, some countries have restricted and blocked economic activities, which affects industrial production to a certain extent. This may lead to improved air quality. Different countries worldwide adopt different restrictions during the pandemic, which may also affect air quality at different levels. To verify the degree of environmental impact, the article selects the two representative economies in the world China and the United States. These two countries choose policies with varying degrees of strictness, which may cause different impacts on production and air quality. This article uses regression methods to analyze the leading environmental and industrial production indicators before and after the pandemic and determine the impact of changes in industrial production during the epidemic on the air quality during the epidemic, according to the regression analysis, the quality of the environment has improved due to the control measures on economic activities. Moreover, after the main control measures have ended, economic activities and environmental quality have quickly returned to their original levels.
The Dynamic Promotion of Supply and Demand on the Structural Adjustment of Tourism Market Taking Commando-style Tourism as an Example
Authors: Lu Yang
Published: November 2023

Commando-style tourism is a high-intensity, economical, and tight travel mode that has emerged in China since this year. At the same time, it also meets the needs of diversified consumption and relatively high consumption quality and has been favored by young tourists, especially college students. The rise of commando-style tourism has impacted the supply and demand of products and services in the traditional tourism market, thus changing the product structure and time-space structure of the tourism market, promoting the competition between industry consolidation and the market, and urging tourism enterprises to constantly adjust and optimize their products to meet the needs of consumers. This paper introduces the background of the rise of commando-style tourism and its present situation. Analyzing the data from the Ministry of Culture and Tourism, Tongcheng Research Institute and other professional institutions and using the research method of data analysis method shows the dynamic promotion of supply and demand to the tourism market structure. At the same time, the paper gives some countermeasures and suggestions for the follow-up development of commando-style tourism from three perspectives: government, enterprises, and consumers.
A Study on the Influence of Economic Policy on Fertility Reduction and the Countermeasures Based on China and Foreign Policy
Authors: Ai Zihan
Published: November 2023

It has been confirmed that China's fertility rate has fallen below the fifth lowest globally and has fully entered the low fertility trap. There is an urgent need to increase the fertility rate. This paper mainly studies the causes of the gradual decline in fertility in China in recent years. It compares the subsidy measures taken by various countries to cope with the low fertility rate. It compares the living cost and economic policy system in China to analyze how China should raise the fertility rate. Through the analysis and summary of the literature, it is found that the reasons for the decrease in China's fertility rate year by year are that the explicit and implicit costs of birth and raising are too high, and the allocation of educational resources is unfair, resulting in low social identity and low happiness. With the gradual decrease of the fertility rate, the population structure changes, and the risk increases, making it difficult for the fertility rate to return to normal. Therefore, China should follow the Nordic countries' policies on parenting costs and social welfare, favor multi-child families, reduce parenting costs after childbirth, improve family happiness, and introduce economic support policies for child-rearing. At the same time, China should avoid the policy risk of "only giving money" and avoid the ineffective phenomenon of increasing welfare but declining fertility rates instead of rising.
Analysis on the Marketing Strategies of Smart Hotels in the Post-epidemic (Covid-19) Background
Authors: Liu Huiyao
Published: November 2023

The traditional-hotel industry is facing its most difficult time ever, due to the recessionary economy and the low standards of consumption. Hotels are seeking transformations to change this situation, some of them were attempted to go in the certain direction of smart hotel, which is newly-developing and is at the initial stage, so that there are a series of unsolved problems existing in the current times. The paper had extract opinions from surveys about hotel industry and smart hotels and was aimed at discussing the disadvantages of strategies adopted by smart hotels, as well as the potential drawbacks that is predicted at present. Mainly, the paper gave out reasonable suggestions about marketing strategies to practitioner of hotel industry, including Strategies to minimize the impact of the epidemic on decreasing occupancy rate, to avoid arms race with other hotels and to prevent unnecessary layoffs. Last but not least, the paper offered speculations to the trends of smart hotel which is possible in the future. Smart hotels will probably be popular among consumers in the future because of its convenience and intellectuality.
The Impact of Tax Cuts on Exchange Rate Changes in The Context of High Inflation and High Debt: Evidence from The UK "Mini-Budget"
Authors: Hu Wenjian , Shen Yujun , Song Zhengzheng
Published: November 2023

This research mainly focuses on the exchange rate fluctuations after the British government of Liz Truss announced to introduce the tax reduction policies, mini-budget. This budget covers the abolition of the highest 45% income tax rate, turning down the income tax and partial stamp duty, aiming to provide greater tax relief to the wealthy to encourage investment and consumption. Based on the SVAR, in the case of high inflation and high debt, tax reduction policies may further intensify the pressure of currency depreciation, leading to a significant decline in the exchange rate. In addition, this paper found that fiscal expenditures and inflation rate have significant and persistent impact on the exchange rate. The conclusion of this research emphasizes that the tax reduction policies in the context of high inflation and high debt will exacerbate the exchange rate fluctuations, which has important implications for policy makers and market participants. In the current highly unstable global economy, a deep understanding of the impact of tax reduction policies on the money market is crucial for stabilizing the economy and monetary system.
The Impact of the Development of Financial Technology on the Banking Industry
Authors: Wu Jingru
Published: November 2023

With the rapid development of technology, financial technology (FinTech) is increasingly becoming a powerful driving force in the global financial sector. This paper aims to deeply discuss and study the impact of FinTech on the traditional banking industry, as well as the future trends and risks of the integration of the two. Through the method of combining literature review and case analysis, using data comparative analysis, this paper expounds three parts: the overview of FinTech the impact of FinTech on the business model of traditional banks, and the integration and development of fintech and traditional banks. Through analysis and research, this paper finds that FinTech has a continuous, relatively negative and disruptive impact on many aspects of traditional banking business in recent years, and the strategic trend of the future development of the two has a variety of possibilities as well as risks.
The Application of Alternative Data in Personal Consumption Credit
Authors: Chen Siwen , Wu Renhui , Yin Zhiyu
Published: November 2023

Credit evaluation has been an important part in personal consumption industry and developed since 1960s. Alternative data provides a new view of data mining and gets to be one of the research hotspots in this field. This paper will summarize the application situation and development status of alternative data in personal consumption credit, according to the specific usage in the researches. Alternative data has been more and more widely used in personal credit industry. It has the advantage of improving predictivity and decreasing discrimination. However, meanwhile, because of the incompleteness of relative law and the existence of Lucas Critique, the legality of the employment of alternative data and the reliability of the results are to be proven. Many researches based on machine learning or other AI algorithm couldnt provide enough power of explanatory. This paper will give financial candidates a distinct view of the pros and cons in the research about applications of alternative data in personal consumption credit and leads to an increasing accuracy in credit assessment.
Research on the Marketing Strategy of Mi Xue Ice Cream and Tea -Based on the 4Cs of Marketing
Authors: Gao Luhan
Published: November 2023

With the rapid development of the economy in recent years, China's new-style tea drinks market is expanding, and consumer enthusiasm for new-style tea drinks continues to rise. Among them, Mi Xue Ice Cream and Tea performs outstandingly and develops very well. With increasingly fierce competition, the focus of business operations gradually shifted to how to occupy the customer's mind and obtain long-term customer value. The 4Cs of marketing are widely used in modern marketing practice, which emphasizes consumer-centeredness and helps establish a long-term and stable relationship between enterprises and customers through several elements. Based on the 4Cs of marketing, the study highlights consumer-centeredness. It explores the successful marketing strategy of Mi Xue Ice Cream and Tea from four aspects: customer, cost, convenience, and communication. By taking consumer demands into account, controlling costs, providing convenience to consumers, and paying attention to customer communication, Mi Xue becomes popular among consumers.
Predicting the Direction of Stock Price Movement with Machine Learning Algorithms
Authors: Yang Minghan
Published: November 2023

The application of machine learning algorithms in predicting stock price directional movements has been a widely discussed problem. Due to the chaotic, uncertain, and dynamic characteristics of stock markets, relatively accurate predictions could contribute to financial benefits and risk reduction. This paper aims to assess the prediction performance of five well-known machine learning models, which are Logistic Regression, Support Vector Machines, Decision Trees, Random Forest, and Extreme Gradient Boosting. Data in this study covers the period from 2020-01-02 to 2023-07-03, and assets studied in this paper are Nike, Amazon, Microsoft, Tesco, and Airbnb. After feature selection, data pre-processing, cross-validation, model selection, and evaluation, it is concluded that the Random Forest Classifier tends to perform better in directional predictions, as it demonstrates higher accuracy and precision. This research highlights the application of machine learning algorithms in financial area, especially in the stock price prediction.
Sensitivity Analysis Based on Portfolio Option Models Using Tesla and Nio as Examples
Authors: Huo Wenxuan , Wu Haonan
Published: November 2023

The electric vehicle (EV) industry is undergoing a significant transformation, driven by environmental concerns, advancements in battery technology, and changing consumer preferences. Companies like Tesla and China's NIO are at the forefront of this revolution, showcasing the global potential of EVs. This study undertook a sensitivity analysis of these two leading EV manufacturers, Tesla and NIO, to understand the dynamics of their stock prices and implications for investment strategies. Data was meticulously collected from various financial databases to capture daily stock prices, which were then used to compute monthly returns. The study also delved into options, focusing on the strike prices and volatility of Tesla and NIO options. Using a combination of stock prices, strike prices, and volatility, the intrinsic and time value of these options were analyzed. The research employed a composite option model to describe the price variation of an option, considering factors like asset price volatility, risk-free rate, and dividend yield. The findings revealed that stock prices and option prices exhibited certain sensitivities to market variables. For instance, Tesla's option prices showed an upward trend with rising stock prices, while NIO's option prices displayed varied responses to stock price changes. The study underscores the importance of understanding these sensitivities for informed investment decisions in the evolving EV market.
A Study on the Current Situation of ESG Information Disclosure and Its Consequences Taking China Shenhua Energy Company Limited as an Example
Authors: Zhou Meiyao
Published: November 2023

ESG disclosure is essential for enhancing corporate transparency given the increasing global growth of ESG systems. Chinas coal industry generates economic advantages but also causes external diseconomies and is required to fulfill certain social obligations. So that the general public may comprehend how corporate social responsibility is being fulfilled, it is imperative that businesses in the coal sector take the effort to provide social responsibility information. In order to determine if the information in coal companies ESG reports complies with requirements and to examine the effects of the reports release on businesses, this article uses China Shenhua Energy Co., Ltd. as its research subject. This paper primarily looks at Shenhuas ESG report by comparing it to the GRI standard, and discovers that Shenhuas ESG information disclosure still has some deficiencies. However, from the event study method, we learn that the publication of Shenhuas ESG report has had some positive effects on the company.
The Relationship Between Continued Fed Rate Hikes and the Risk of US Government Debt
Authors: Liu Anjie
Published: November 2023

The management of interest rates by central banks is a critical aspect of economic policy, and the Federal Reserve (the Fed) holds a central role in guiding the monetary course of the United States. Over the years, the Fed has utilized interest rate adjustments to achieve diverse objectives, from controlling inflation to promoting economic growth. However, the ongoing debate surrounding the Fed's persistent interest rate hikes centers on the potential risks that may arise in relation to the US government debt. This essay delves into the implications of these interest rate hikes on the risk associated with the US government's debt. By examining the impact of increased interest rates on the cost of borrowing, market dynamics, and the challenges of debt refinancing, we can gain insights into the potential ramifications on the fiscal health of the nation. In addition, we will explore counterarguments and potential mitigating measures put forth by policymakers to balance the objectives of economic stability and debt sustainability.