Proceedings of the 7th International Conference on Economic Management and Green Development
Canh Thien Dang, King's College London
In the context of the continuous promotion and implementation of ESG concepts around the world, this paper aims to study the correlation between ESG scores and the share prices of companies in different regions and industries. Based on the stock price data and ESG scores of the top 30 companies by market capitalization in the semiconductor industry, car manufacturing industry, and financial services industry, as well as the stock price data and ESG scores of the top 30 companies by market capitalization in the United States, China, and Japan, the linear fit model is constructed to analyze the correlation and intercept. It is found that the ESG score is positively correlated with company stock price in most situations, which means that the improvement of the ESG score often implies the improvement of the company’s share price. According to the economic environment of different industries and countries, the correlation and intercept are different. Usually, the correlation or intercept is more evident in high-end industries or regions with better economies, also the ESG level is better.
The current Chinese clothing market is developing rapidly, and the consumption concepts and demands of major consumers have also changed. This poses a challenge for fast fashion brands represented by ZARA. The study used questionnaires to survey more than 300 Chinese consumers, understand their consumption habits, and measure ZARA Customers Perceived Value. Then, use SPSS to analyse ZARA consumer portraits, and calculate Customer Perceived Value scores from four dimensions. Finally, two improvement suggestions were proposed for the Price Value with the lowest score. To provide a reference for alleviating ZARA's current crisis, and also point out improvement ideas for other fast fashion brands that are also facing challenges.
Nowadays, there is a gradual shift in the way more and more people shop due to the influence of the pandemic. Shopping is moving away from brick-and-mortar stores and towards e-commerce shopping streams on social platforms. People are getting their needs met by watching live streams of e-commerce anchors, not only buying what they want but also reaping the benefits of quasi-social relationships online through their interactions on the Internet. The goal of this research is to investigate the link between influencer marketing and the effect that social media influencers have on the online shopping habits of members of Generation Z. Specifically, this study will look at how China Generation Z shoppers are influenced by those who are influential on social media. The results of a nationwide online survey of 227 Chinese Generation Z people show that social media influencers have a significant impact on Generation Z online consumer behavior, especially on the Douyin social media platform. The questionnaire respondents were from different regions of China's interior and the population was evenly distributed. The impact of different influencer marketing strategies and behavioral characteristics on the online consumer behavior of this age group is discussed.
The Little Red Book App is a typical representative of User-Generated Content (UGC) platform in China, being well-known to the public for its unique sharing function. In this app, numerous users sharing content related to commuting clothing. However, there are very few research on the consumption intention of commuter pants consumers on the UGC platform. This study examines how UGC on the Little Red Book APP influences users' consumption willingness, using the 100 top commuter pants notes about popular commuter pants content as experimental subjects from the Little Red Book platform. Text analysis and network research are conducted based on data collected from Little Red Book open API “Dandelion” platform. information quality, visual experience and KOL influence significantly influence consumers' purchase intention. This study summarizes the common denominator of the most popular notes for relevant search terms from multiple perspectives and provides insights into how to utilize UGC and KOLs marketing to stimulate consumption desire and promote product sales. Based on the research results, corresponding feasible suggestions have been proposed for UGC e-commerce platforms, brands, and KOLs.
This paper focuses on researching the capital structure and investment value of the supermarket industry, specifically examining the impact of epidemiological events on value investment within this sector. The objective is to explore the factors that influence capital structure decisions and their implications for investment value. The analysis employs the Weighted Average Cost of Capital (WACC) method to evaluate the relationship between capital structure and investment performance in the context of the supermarket industry. The study aims to investigate the influence of epidemiological events, such as COVID-19, on the capital structure decisions of supermarket companies and their subsequent effects on investment value. The research considers factors such as the size and maturity of the companies, risk profiles, regulatory environments, and cost of capital considerations to assess their impact on capital structure choices. By utilizing the WACC method, A study of supermarket investment value and capital structure decisions is presented in this paper. The WACC approach allows for a comprehensive evaluation of the cost of debt and equity financing, incorporating factors such as interest rates, tax implications, and market conditions.
The logistics industry plays a vital role in the global economy, managing the flow of goods, information and services. The frequent occurrence of black swan events such as the new coronavirus epidemic in 2020 and the Russia-Ukraine conflict in 2022 has intensified the risks of the logistics industry. On the one hand, by studying the current risks faced by the logistics industry, this paper puts forward corresponding suggestions for the risks faced by the logistics industry. For example, the logistics industry can ensure the security of goods and information by utilizing cutting-edge technologies, adopting forward-looking risk management methods, and promoting cooperation with stakeholders, so that logistics companies can enhance their flexibility and optimize performance. And navigate a dynamic business environment. By establishing effective governance mechanisms and regular reviews, logistics companies can improve the strength and agility of their supply chains, effectively manage risks, and navigate the dynamic business environment. On the other hand, through the financial analysis of several representative companies in the logistics industry, this paper believes that the logistics industry has profitability at present and still has great growth potential in the future. The competition in the industry is relatively fierce, and the logistics industry market needs to be further subdivided.
As nations implement interest rate hikes and the economy heads towards a downward trajectory, investor sentiment undergoes a significant transformation. While extensive research has explored how investor sentiment influences stock markets, there is limited investigation into its effects on futures markets. This study aims to delve into various methodologies used to examine investor sentiment, including existed indexes, news analysis, and machine learning techniques. The study will evaluate how investor sentiment influences futures market and explore the connection between futures market and stock market. It acknowledges that there are both similarities and differences in studying investor sentiment in the stock and futures markets and suggests that futures market may play a role in affecting stock market prices. By conducting a thorough review of existing literature, the objective is to enhance our understanding of price dynamics in both the futures and stock markets within the context of the current global economic downturn.
Financial Big Data is a contentious topic that needs to be addressed because it is having an increasingly negative impact on people's everyday lives, work habits, and thought patterns. The leakage of financial big data is just one of the issues that financial big data is now dealing with. As a result, the study focus of this work is on the data security problems and solutions related to financial big data. This paper summarizes four main categories of data security issues related to financial big data: attacks on financial big data, data leaks related to financial big data, issues with the reliability of financial big data, and issues with access control related to financial big data. Based on these four problem categories, it searches the literature and organizes the suggested solutions as follows: pay attention to the development of financial data security systems in a big data environment, strengthen education and training, increase the da-ta security awareness of various roles, optimize the processing of big data, and strengthen the storage security of big data by strict user access control. This paper's thought and research also reveal that while financial big data does provide data security issues, it also serves as the primary means of addressing the issue itself. Less research has been done on using financial big data as a countermeasure in and of itself. In the future, we should focus on financial big data itself and explore ways to use financial big data as a countermeasure to data security problems.
In this paper, we discuss and research the marketing strategies which enable the catering industry companies to get through the crisis. Based on the case studies of successful and failing catering companies, we examine and conclude four factors of marketing strategies effective to overcome the problem. This paper provides referential value for catering industry companies to cope with the crisis.
COVID-19 pandemic have a huge impact on human life, and it also creates a demand shock in various industries, including the food industry. This paper mainly researches the impact of the epidemic in the online food delivery industry and the variations in consumer decision-making in this industry. Methods of literature review and questionnaire are used to find out the differences in the online food industry before and after the pandemic and the greatest influencing factors of consumer decision-making after the pandemic. The paper reveals consumers’ decisions are affected by COVID-19, and consumers care about coupons and promo codes the most after the pandemic. Development applications of online food delivery and further research line are suggested according to consumer decision-making factors.
The digital economy's rapid growth has ushered society into a new era, where data holds immense significance. In the field of legal academia, data can be seen as an important carrier of intellectual property rights in a legal sense. Therefore, the research on the path and models of intellectual property protection for data in the context of the digital economy has become a focus of domestic and foreign scholars. This paper aims to address the issues of limited avenues and low effectiveness in the protection of data intellectual property rights in China. Through the definition and comparison of the concepts of data and intellectual property rights in academic terms, this paper analyzes and compares the data protection models in various countries worldwide with the actual data protection situation in China, and summarizes the findings. Furthermore, the paper proposes specific measures for the protection of data intellectual property rights in China, such as establishing clear standards for certifying data compilation works and enacting specialized legislation for data protection. These proposed regulations help to alleviate the current challenges in data intellectual property rights protection to a certain extent.
With the continuous development of construction enterprises, the cost management of engineering projects has received more attention as a factor that directly affects the profits of enterprises. Under the deployment of the market economy, which is closely related to it, the construction cost often presents a certain degree of uncertainty.In the face of this uncertainty, properly managing risks and optimizing cost management strategies have become an effective way to maximize the benefits of construction companies. Starting from the problems existing in the cost management of construction enterprises, this paper puts forward some suggestions for their risk control and cost management.
Management is a broad and essential field that encompasses the planning, organizing, directing, and controlling of resources to achieve organizational goals and objects. The origins of management can be traced back to ancient civilization, study of management as a discipline began in the late 19th century and early 20th century. This article focuses on compare and contrast the performance management approaches of Google and Baidu by using case studies and comparative analysis. However, Google’s management system has been successful in promoting a culture of innovation and employee empowerment, attracting top talent, and driving organizational growth. While Baidu’s management system has examined its strategies for localization strategies and market expansion.
In recent years, a "blind box fever" is sweeping the world, and blind boxes are becoming a popular item worldwide. However, while the sales of blind boxes are booming, many consumers are spending a lot of money because of the characteristics of blind boxes that they buy in bulk. This study discusses the relationship between the uncertainty of blind boxes and compulsive consumer psychology in order to protect consumers and make them more aware of the negative effects of blind boxes. It concludes that the uncertainty of blind boxes can lead to compulsive consumer psychology. This study argues for the negative effects of blind boxes, reminds consumers of the need to be aware of the negative consumer psychology generated by blind boxes when purchasing blind boxes, and suggests that government departments and blind box companies should strengthen consumer protection measures to avoid the negative effects of blind boxes on consumers.
In recent years, "cross-industry marketing" has become a relatively mature way of brand expansion, transformation and promotion in the clothing industry. Co-branded brands have also become the main research objects of scholars. Cross-industry co-branding can create new brand value on the basis of existing brands, and find more market possibilities, thus expanding consumer groups and improving brand equity performance. The research theme of this paper is the influence of cross-industry co-branding of clothing brands on the image of co-branded brands, among which the influence of the fit degree between brands on the brand image. This paper solved this problem through qualitative research and take the form of questionnaire survey in the group design. It is found that the fit degree between brands has an impact on the brand image, and the brand image with high fit degree is better than the brand image with low fit degree. Consumers have better brand cognition and more positive brand image imagination for co-branded brands with high fit degree. Therefore, clothing marketing management personnel should pay more attention to the "fit" of the brand when selecting partners, and give priority to choosing brands with high fit, such as complementary functional attributes and consistent image attributes.
With the rise of women's personal consciousness, femvertising has become one of the key topics in today's research. Researchers mostly explore the impact of feminist advertising on consumers from the perspective of social comparison and self-identity. However, there is still a research gap on how consumers’ awareness of self affects their perception and acceptance of femvertising. Therefore, this paper connected the consumer self-concept with the female image in feminist advertising and explored the relationship between the consistency of the two and the consumer's advertising attitude and brand attitude. Through the review and analysis of 19 relevant literature, this paper found that the high consistency between consumers' ideal self and female image in femvertising will make them have a more positive attitude towards advertising and brands, compared with the impact of the consistency between actual self and advertising image. Enterprises should understand the self-concept and values of target consumers in order to better meet their needs and expectations in advertising and marketing activities.
With increasing environmental protection awareness among the Chinese public, new energy vehicles are gradually replacing traditional gasoline vehicles and have become the mainstream choice for consumers. This prompts new energy vehicle brands to improve their marketing strategies to attract consumers. Among those marketing strategies, expert endorsements have proven to be an effective marketing method for automobile brands. This research adopted the literature analysis method to explore how expert endorsers impact purchase willingness based on the SOR model in the context of new energy vehicle advertisements. In addition, self-construal is added to the model to study its moderating role in the influence process of expert endorsement. Finally, the study found that expert endorsers can indirectly affect consumers' purchase intentions through perceived trust, and different types of self-construal can moderate the level of consumers' perceived trust in expert endorsers. This study provided strategic suggestions for the precise marketing of new energy vehicle brands and expanded the application of the SOR model in green marketing.
Economics and public relations are two very important fields in modern times and are closely related to each other. People tend to discuss the relationship between how the traditional economy has influenced the development of the public relations profession while neglecting the impact of new economic developments and economic crises on the public relations profession. The emergence of the attention economy as a trend and challenge to traditional economies also will have a significant impact on public relations. This article proposes the impact which the appearance of the new economy and the crises that have emerged in recent years in economic development will affect the public relations industry according to some case studies and data from recent years. Drawing on the literature, the author argues that the economic crisis will bring greater opportunities for the public relations industry. Also, the traditional economic model has changed as a result of the emergence and growth of the new attention economy, which will also cause the public relations sector to start moving in the direction of information competition.
Small and medium-sized enterprises (SMEs) are an important part of relieving the pressure of social employment and increasing the development and vitality of the world economy. However, the disadvantages of SMEs in terms of their scale and normality have led to problems such as difficulties in financing during their development, which have increased the difficulty of their development and growth. To address this social reality, it is urgent to establish a perfect credit guarantee system for SMEs. With the continuous development of China's information technology, financial institutions are also transforming, providing new ideas for the improvement of the credit guarantee system for SMEs. Over the years, the implementation of "blockchain + credit guarantee" has brought unprecedented revolutionary impact to the financial industry. It has not only greatly expanded the application scope of blockchain technology, but also greatly improved the credit guarantee mechanism for SMEs, greatly enhanced their financing efficiency, and effectively reduced their risks, laying a solid foundation for their long-term stable development. To better support the development of SMEs, we should accelerate the digital transformation to realize the effective allocation of financial resources and enhance the market competitiveness of SMEs, to better meet their economic and social development needs.
After a policy of easing COVID-19 restrictions was issued in China in December 2022, many people were infected by the virus sooner or later, and medical resources became extremely scarce. This paper aims to investigate the relationship between the easing of restrictions in the Zero-COVID policy and the pharmaceutical industry index. The paper predicts that the policy will stimulate an increase in the pharmaceutical industry index. Using the ARIMA model, the paper finds that the predicted value is lower than the actual value, indicating that the policy indeed has a positive effect on the index price. Another discovery is that the index price generally exhibits a decreasing trend. The reason for this is that the index price had already reached a high point when COVID first occurred, and it would continue to decline due to overreacting phenomenon. Based on these results, the paper suggests that investors should not only consider the temporary stimulation but also need to be aware of the long-term price trend.