bluuebunny/crossref_metadata_2025 huggingface dataset:
Feminism That Grows Itself Inside the Structure of the Patriarchal Gaze: A Case Study of the K-pop Female Creator Group--(G)I-DLEs Nxde
Authors: Zeng Zhenyi
Published: February 2025

Focusing on feminist discourses within the structure of the patriarchal gaze, this paper analyzes the ability of female creators in the K-pop industry to dissolve male-dominated visual pleasure by using the K-pop girl group (G)I-DLE and their self-composed song Nxde as a case study. By exploring the songs promotional strategy, arrangement, music video, lyrics, and social reactions, the study uncovers its unique attempt to subvert traditional gender narratives. The promotional strategy and arrangement critique the objectification of women through satirical elements; the music video deconstructs patriarchal societys traditional perceptions of beauty and desire through aesthetic choices, homage to classic female figures, and innovative camera language. However, societys response to Nxde reveals a contradiction between feminist ideals and commercial realities, and its stage performance and image remain controversial for catering to the male gaze. Research has shown that while female creators like (G)I-DLE have actively challenged patriarchal structures through their artwork, the complete dissolution of the male gaze in a highly commercialized industry like K-pop remains a complex and unfinished topic. However, works like Nxde are an important step forward in redefining the image of women in mainstream media and feminist narratives in pop culture.
Assessing the Effectiveness of Current Mainstream English Teaching Methods in Economically Disadvantaged Regions of China
Authors: Jiang Wanyu
Published: February 2025

While extensive research has explored English teaching methods in urban China, their applicability and effectiveness in rural areas remain underexamined. This study addresses this gap by analyzing the challenges and effectiveness of mainstream methods such as Grammar-Translation Method (GTM), Communicative Language Teaching (CLT), and Task-Based Language Teaching (TBLT) in economically disadvantaged regions. The research utilizes theoretical analysis, drawing on secondary data from prior studies and applying frameworks like Krashens Input Hypothesis and Vygotskys Sociocultural Theory. It examines rural students' learning environments, including resource deficiencies, underqualified teachers, and limited English exposure. The findings indicate that while GTM is effective for improving grammar and reading, it fails to build communicative competence or sustain student motivation. CLT and TBLT show potential but are constrained by resource and expertise deficiencies prevalent in rural settings. The study concludes that integrating online technology, enhancing teacher training, and fostering community-based initiatives could improve the efficacy of English teaching in rural China, bridging the educational gap between urban and rural areas.
A Study on the Impact of the Light Asset Operation Model on Corporate Performance in the Home Appliance Industry: A Case Study of Gree
Authors: Xiong Jin
Published: February 2025

This paper analyzes the impact of Gree's light asset operation model on its corporate performance. The study examines the impact pathways from four perspectives: the application of the "quasi-financial" model, the effective use of bank-pledged accounts receivable bills, technological innovation and control over the industry chain, and brand value creation. It is found that after adopting the light asset operation model, Gree significantly improved its corporate performance. The paper also discusses the shortcomings of Gree's choice of the light asset operation model and provides improvement suggestions. It is hoped that this research can offer insights for Gree's future light asset operation strategy and for the stable development of other companies in the home appliance industry.
Robust Optimization of Multimodal Transport Routes: A Case Study of a Multimodal Transportation Service Provider
Authors: Du Rongfei
Published: February 2025

This paper employs case analysis to examine the robust optimization of multimodal transportation routes under demand uncertainty. In response to the challenges a logistics company faces in transporting heavy cargo, the study develops a hybrid robust optimization model for multimodal transportation, with the objective of optimizing transportation, transshipment, and time-related costs. The model is solved using the ant colony algorithm, and robust optimization is applied across various demand scenarios to evaluate different routing and planning solutions. Findings reveal that robust optimization effectively balances the stability and cost-efficiency of transportation strategies under uncertainty, although it can lead to increased costs. Furthermore, by adjusting the regret parameter in the optimization process, a balance between cost and robustness can be achieved, thus enhancing the overall efficiency of multimodal transport operations. This study offers theoretical guidance for multimodal transport companies, particularly on optimizing resource allocation in the face of demand variability and uncertainty.
The Impact of Adjustment in US International Trade Tariffs on China
Authors: Wu Meilin
Published: February 2025

In the past few years, Trumps first presidency passed many trade policies aiming at reducing Chinas export to the US, which damaged both Chinese and the global economy. As Trumps forthcoming second presidency may cause further twists in international trade relations due to harsh tariff adjustments towards Chinese exports, this article aims to study the impact of trade policies during Trumps first presidency, what may happen next and what countermeasures can be used by related countries. This paper evaluates the trade policies passed during his first presidency and the corresponding impact on both China and US economies. The results show that Trumps policies increased price level in the US and broke the balance of trade between China and the US. With an expectation of stricter tariff adjustments in his second presidency, trade situation would become harsher for export-dependent countries such as China, Mexico and Canada. Therefore, this article suggests that these countries could improve trade partnership with each other, encourage domestic technological growth and increase domestic purchasing power as the countermeasures.
Research on Financial Risk Management of Electric Power Enterprises under the "Dual Carbon" Background
Authors: Luo Ziyu
Published: February 2025

Under the "dual carbon" background, the power industry, as one of the pillar industries of China's national economy, is undergoing a critical transformation. It is shifting from a traditional power generation model based on fossil fuels to one that utilizes non-fossil fuels, such as wind, solar, and hydropower. The operational development of China's power industry is significantly constrained by a series of policies, including power system reform and electricity price regulation, which has placed a burden on power companies and may lead to corresponding financial risks. This paper analyzes the issues in financial risk management of power enterprises under the "dual carbon" background from three aspects: enterprise financing channels, debt-to-asset ratio, and operating costs. Targeted measures to improve the management of financial risks are proposed, such as constructing diversified financing channels, optimizing asset management efficiency, and enhancing cost management levels, in order to provide valuable insights for financial risk management in power enterprises under the "dual carbon" framework.
Exploring the Role of Green Bonds in Advancing Corporate Innovation
Authors: Zhu Zimeng
Published: February 2025

This investigation examines the repercussion of green bond issuance on corporate eco-innovation, utilizing a sample of A-share companies listed on the Shanghai and Shenzhen stock exchanges between 2008 and 2022 through the Difference-in-Differences (DID) model. The findings indicate that green bond issuance significantly boosts a companys eco-innovation level, a conclusion supported by robust evidence from parallel trend tests, dependent variable adjustments, and placebo analyses. Secondly, through mechanism analysis, it is found that the promotion of corporate eco-innovation by green bonds is driven by two mechanisms: increased R&D investment and enhanced external supervision. Considering heterogeneity, the repercussion of green bond issuance on enhancing eco-innovation is particularly significant for state-owned enterprises, firms in non-heavy-pollution industries, and high-tech companies.
Improving Sunkist's Brand Awareness and Market Competitiveness Through the STP Model and SWOT Analysis
Authors: Zhang Jiajie
Published: February 2025

This study proposes a marketing campaign for Sunkist to boost sales and brand awareness through strategic differentiation. In an increasingly competitive fruit industry, Sunkist faces challenges in maintaining relevance and capturing consumer attention despite its long-standing reputation and quality offerings. By analyzing historical trends, industry dynamics, and market segmentation, the study identifies key consumer segments: college students, parents, and the elderly. It explores Sunkist's strengths, such as its sustainable practices and family-owned cooperative structure, while addressing weaknesses like low brand competitiveness and limited product diversity. Strategic solutions are suggested using segmentation, targeting, and positioning (STP) models, emphasizing digital and in-store engagement. Execution plans include social media campaigns, influencer collaborations, and in-store promotions to enhance brand recognition and loyalty. Metrics for campaign evaluation, including sales trends and social media engagement, are outlined to ensure measurable success. This research highlights Sunkists potential to strengthen its market position by leveraging its unique brand heritage and focusing on diverse consumer demographics.
Analysis on the Ways and Strategies of Digital Finance to Accurately Serve the Financing of Small and Medium-sized Enterprises
Authors: Zhao Jiani
Published: February 2025

SMEs, marked by institutional flexibility and organizational excellence, have emerged as key drivers of economic growth through their roles in fostering technological innovation, creating jobs, and enhancing economic and social development. However, on the road to steady growth, the problem of financing has always been a stumbling block in the development of SMEs. They themselves face insufficient capital and relatively poor risk resistance, and need to carry out financing innovation, and the advantages of developed digital financial technology and low service cost can significantly help SMEs. This paper analyzes the shortcomings of SME financing through the lens of digital finance, focusing on the issues of high financing costs, limited financing options, and information asymmetry. This paper explores solutions via unsecured loan platforms, blockchain technology, and other digital innovations. The successful case of Baxin Bank's use of digital financial innovation is also analyzed.
Cross-border E-commerce Tax Challenges and Policy Empowerment: Mechanisms, Cases and Prospects
Authors: Lu Zixuan
Published: February 2025

In the digital era, e-commerce has significantly grown, becoming integral to the global economy, yet posing complex taxation challenges. This paper explores e-commerce taxation issues, focusing on tax authorities' difficulties with cross-border transactions, intangible goods, and the absence of a unified global tax framework. It also addresses tax awareness problems among e-commerce stakeholders. Case analysis, such as the Wei Ya tax evasion in live-streaming, highlights challenges in transaction data, tax entities, and policies. The study finds e-commerce taxation plagued by high collection costs, tax fairness issues, and inter-regional tax competition. However, tax policies like export rebates and preferences for returned goods are crucial for cross-border e-commerce development, reducing enterprise tax burdens and guiding strategies through economic incentives and risk-sharing. The research underscores the urgent need for tax system reform to align with e-commerce, emphasizing enhanced tax supervision and policy improvement for fairness and healthy economic growth. Future research should optimize tax policies, boost international tax cooperation, and utilize technological advances like electronic invoices for efficient e-commerce taxation.
Analysis of Bank of America in the ESG Business Scale Growth Factors
Authors: Zhang Guodong
Published: February 2025

This study investigates the factors contributing to the growth of an organisation's ESG (Environmental, Social, and Governance) business scale using the Vector Error Correction Model (VECM). The research analyses Bank of America's ESG strategies and it has been found that the ESG benchmarks held by the bank have strengthened in recent times. The findings indicate a negative correlation between the ESG score and key profitability indicators for Bank of America, suggesting that increased spending on ESG activities decreases net profit. This result can be attributed to the non-commercial nature of ESG activities, which are primarily costs subtracted from the gross profit figure. The VECM analysis also reveals a statistically significant adjustment in the long-term equilibrium relationships between the ESG score and Bank of America's net profit. Additionally, short-term negative correlations between ESG and profitability benchmarks affect long-term relationships. On the basis of VECM model that has been adopted in this study, the research establishes statistically significant relationships between Bank of America's ESG score and net profit, demonstrating short-term adjustments towards long-term relations between ESG score and net profit. Overall, this paper highlights the importance of understanding the dynamics between ESG activities and profitability in the banking sector, stressing the need for maintaining an effective balance between ESG activities and financial performance to ensure long-term sustainability.
Promoting Online Sales: Analysis of Consumers' Online Buying Behaviors
Authors: Zou Xin
Published: February 2025

With the widespread adoption of smartphones and mobile payments, mobile commerce has become an essential part of e-commerce. An increasing number of customers are trying to purchase products online due to convenience and variety of products. However, as online shopping rapidly expands, risks and challenges emerge, waiting to be solved and mitigated. In this article, consumers online buying behaviors will be analyzed from three aspects: perceived benefits, perceived risks and psychological factors. Relevant data and conclusions are drawn from publications in a variety of fields, including psychology, economics and business. This article applies a qualitative analysis approach, synthesizing and reflecting on conclusions from existing publications. To promote sales of online platforms, suppliers should take measures to enhance customers perceived benefits, providing customers with positive psychological guidance and trying to reduce perceived risks. Both economic conclusions and discoveries from psychological experiments are utilized to support this research. This research is applicable to worldwide consumers, including those in developed and developing regions.
Harnessing the Power of Large Language Models for Real-World Sentiment Classification on Social Media
Authors: Jin Jonathan
Published: February 2025

Social media provides an abundant source of customer feedback, making sentiment analysis critical for businesses to understand consumer preferences and inform strategies. This study evaluates the effectiveness of Large Language Models (LLMs), such as GPT-3.5, GPT-4, and Google Gemini, in sentiment classification compared to traditional machine learning (ML) and deep learning (DL) models. Two benchmark datasets, the Stanford NLP/IMDB dataset and the FinanceInc/Auditor Sentiment dataset, are used to assess performance on general and domain-specific tasks. Advanced techniques, including zero-shot prompting, few-shot prompting, and fine-tuning, are applied to optimize LLMs. Results show that fine-tuned LLMs achieve the highest accuracy, outperforming ML and DL baselines. This study demonstrates the transformative potential of LLMs for sentiment analysis, offering scalable and efficient solutions for processing unstructured data. By addressing key limitations, LLMs enable deeper insights into customer sentiment, contributing to improved business intelligence and decision-making.
Research on Music Copyright Licensing and Payment Models in the Internet Era: Focusing on Multiple Subjects and Feasible Paths from an International Perspective
Authors: Zhao Hanyan
Published: February 2025

With the continuous development of modern society, the music industry has been constantly evolving, but issues regarding copyright payment have emerged one after another. The study mainly analyses the present state of copyright distribution in the Internet music platform enterprises and collective management organizations. By detailed and specific research, it seeks to understand the current allocation and potential threats to the price setting. Then, it offers improvement suggestions to boost fairness, efficiency and transparency in order to improve the current price system. The study found that for Internet music platform enterprises, refining refund policy and strengthening supervision and monitoring will help regulate the music market industry. At the same time, raising the public about music copyright awareness is also necessary for improving the payment of copyright. For collective management organizations, referring to mature organizations experience with payment policy can not only help improve the management system and distribute responsibility efficiently but also avoid the organizations falling into legal controversy.
The Comparative Study on Bank Performance of BOCD and PNC
Authors: Yang Yiran
Published: February 2025

Global economic growth is decelerating by mid-2024, challenged by geopolitical uncertainty, inflation, and central bank interest rate hikes. Emerging markets strive for growth amid global labor skill mismatches and digital transformation, raising employment issues. International trade adjusts to political shifts, and climate policies drive economic change. The global economy faces critical challenges and opportunities, demanding vigilance and adaptability from policymakers and market participants. This study analyzes accounting data from the Bank of Chengdu (BOCD) and PNC Financial Services (PNC) from 2013 to 2022, comparing financial status and performance. PNC shows larger size, higher revenues, profits, EPS, and superior loan performance, while BOCD exhibits higher earnings growth, stronger profitability, and promising future performance. The paper aims to compare the business structure and profitability of U.S. and Chinese financial institutions within the same global economic context but different economic systems, excluding international visibility and trust effects.
Analysis of the Role of Digital Economy in Hebei Province's Economic Transformation
Authors: Liu Zihe
Published: February 2025

Hebei Province, located in northern China, is a key player in the Beijing-Tianjin-Hebei coordinated development strategy. Despite steady economic growth, Hebei faces significant challenges in achieving sustainable, high-quality development due to its reliance on traditional heavy industries like steel, chemicals, and building materials. The digital economy offers a transformative opportunity to address these challenges by enhancing industrial transformation, promoting green production practices, and fostering technological innovation. This paper examines the current economic structure of Hebei, the progress of digital economic development, and its integration with traditional industries. It also explores the potential for digital technologies to optimize industrial efficiency, improve resource allocation, and support Hebei's transition from a resource-dependent to an innovation-driven economy. The study identifies the gaps in technological innovation and industrial capabilities and proposes strategic recommendations to strengthen Hebeis position within the Beijing-Tianjin-Hebei coordinated development framework. Future research should focus on regional differences, workforce education, environmental impacts, and policy effects on industrial and digital innovation.
Analyzing the Construction of Human Resource Management Model for Netflix in the Context of Multiculturalism
Authors: Murong Ningxuan
Published: February 2025

Netflix, originating from the United States, is an OTT service company providing online video streaming globally. It offers subscription-based services for movies and TV shows, delivering media to subscribers via internet streaming and the U.S. postal service. By market capitalization, Netflix is one of the world's largest media and entertainment companies. Establishing a scientifically sound human resource management model that aligns with a multicultural backdrop is fundamental to Netflix's operations. The dual factors of Netflix's expanding scale and the rapid development under a multicultural context in current years present challenges in constructing a more comprehensive and complete human resource management model. This paper explores and analyzes how Netflix constructs its human resource management model under a multicultural context and, designs a unique model based on practical management needs, analyzes the characteristics of Netflix's human resource management model, and provides insights for other enterprises. The human resource management model of Netflix is a comprehensive and complete system developed specifically to adapt to the unique and rapidly changing content industry, enabling the entire company to have creative and innovative capabilities, which is not universally applicable to enterprises in other industries.
Approaches for Controlling Neglected Tropical Diseases: A Case Study Grounded in Public Health Policy
Authors: Xie Lijunxi
Published: February 2025

Neglected Tropical Diseases (NTDs) comprise a group of twenty pathogens which primarily affect the global poor. Despite their significant public health impact and relative ease of prevention, NTDs frequently receive limited attention and funding compared to other diseases. In this paper, I first identify the relevant context and issues that NTDs cause in affected individuals and communities, including issues in existing non-policy approaches to treat NTDs. I explain how NTDs often cause stigmatization from communities that often prevent patients from seeking medical care. Then, I describe current health policy regarding NTDs and argue that they are insufficient primarily due to inadequacies in political systems, funding, infrastructure, and healthcare delivery. Lastly, I propose health policy in the form of health education, the use of community drug distributors (CDDs) in healthcare delivery, drawing on our experience with past pandemics to design health policy, and the establishment of incentives to involve pharmaceutical firms in the research and production of medicine to cure NTDs.
The Impact of Green Total Factor Productivity on Stock Returns: An Empirical Analysis Based on Data from Chinese Listed Companies
Authors: Tang Zixiao
Published: February 2025

The aim of this paper is to explore the impact of the Green Total Factor Productivity (GTFP) factor on the excess returns of quantitative investment strategies in the secondary market of China's capital market. The study integrates the GTFP factor into the Fama-French five-factor model and employs the Newey-West regression method for empirical analysis. The results indicate that the GTFP factor has a significant positive impact on stock excess returns across various industries, with the second-order lag model showing improved statistical significance compared to the first-order model. This finding highlights the importance of considering environmental sustainability factors in investment decision-making and provides investors with investment strategies based on green factors. Furthermore, the results offer insights for policymakers in promoting the development of green finance. This paper enriches the literature in the field of asset pricing and offers a new perspective for both the theory and practice of green finance.
Turning in the Context of Recession: Reasons and Effects of the Decline of the Feds Interest Rate in 2024
Authors: Zhu Yicheng
Published: February 2025

On September 18th, 2024, the Federal Reserve announced a 0.5% reduction in benchmark rates, marking its first cut since April 2020. This study aims to investigate the rationale behind this monetary policy decision and evaluate its impacts on the U.S. economy, particularly in the context of an ongoing recession. By examining both domestic and global economic factors, the research identifies decelerating growth and mounting inflationary pressures as key drivers of this policy shift. The methodology integrates a literature review, historical event analysis, and comparisons of policy adjustments over time. The findings reveal that the Federal Reserves rate cut has a dual effect: on the one hand, it may stimulate investment and consumption to some extent while also helping stabilize financial markets; on the other hand, it poses challenges such as increased inflation and limited room for additional interest rate reductions. Furthermore, these domestic effects also create ripple effects on the global economy, potentially amplifying international economic volatility. Based on the analysis, it can be concluded that while the Federal Reserve's interest rate cut demonstrates short-term benefits in addressing current economic challenges, it also introduces uncertainties that may lead to unintended consequences, both domestically and globally.
The Impact of Talent Attraction Policies on Housing Prices in Haikou, Nanjing, and Wuhan
Authors: Han Yeung Tsz
Published: February 2025

In the context of escalating global urban competition, attracting top talent has become essential for cities to boost economic competitiveness. Talent attraction policies significantly impact local economies and real estate markets by driving population growth and enhancing urban innovation. Talent attraction programs profoundly influence local economies and real estate markets by stimulating population expansion and fostering urban innovation. This study focuses on Haikou, Nanjing, and Wuhan, using empirical methods to analyze the impact of talent attraction policies on housing prices. Through parallel trends tests and group regression analyses, results show that these policies significantly affect housing prices, with policy implementation leading to notable price increases. Additionally, mediating effects analysis indicates that research and development levels and patent grants mediate the relationship between talent attraction policies and housing prices, highlighting innovation as a key mechanism. Placebo tests confirm the validity of these policy effects, revealing no significant impacts outside the implementation periods. This paper advises governments to refine policy measures, balance real estate market health with talent attraction, and enhance investments in research infrastructure for sustainable urban economic growth.
The Interaction Between ESG Investment and Enterprise Innovation
Authors: Yang Zekai
Published: February 2025

In the field of global investment, ESG investment is booming, and corporate innovation is crucial to sustainable development. This study aims to deeply analyze the two-way impact mechanism of ESG investment that stimulates enterprise innovation through resource investment, risk management and market demand drive, such as providing financial support, promoting resource integration, responding to changes in environmental regulations and meeting market demand. Enterprise innovation results can attract ESG investment and enhance corporate image by improving ESG performance and disseminating innovative results. Through the case analysis of different types of enterprises, it is found that the interaction between the two has the characteristics of mutual promotion and coordinated development, and is affected by the industry, scale and other factors of the enterprise. Theoretically, this enriches the relevant research content, and in practice, it serves as a reference for enterprises. Future research can further expand the scope of samples, deeply explore the relationship between the WTO in different situations and build a policy support system.
Motivation and Job Satisfaction as Drivers of Productivity: A Comprehensive Literature Review
Authors: Fan Jiayu
Published: February 2025

The relationship between employee motivation, job satisfaction and productivity is an important research focus in the field of business management and organizational behavior. By combining existing research, this paper explores how motivation drives productivity through the bridge of job satisfaction. Studies have shown that fair compensation and career development support can significantly motivate employees, while job satisfaction translates this motivation into concrete work outcomes by improving employees' perceptions of the work environment, task challenges, and teamwork. At the same time, personalized and contextualized motivation strategies are crucial in meeting the needs of different industries and cultural backgrounds. However, issues regarding the long-term effects of financial incentives, the complexity of managing multicultural teams, and the adaptability of traditional motivation theories in telecommuting environments still need to be further explored. The purpose of this paper is to provide valuable suggestions for companies to optimize incentives and job satisfaction management, and to help employees and organizations grow together in the rapidly changing workplace environment.
Optimal Global Population: Balancing Development, Environment and Well-being in Dynamic Equilibrium
Authors: Wang Jiayu
Published: February 2025

This paper examines the complex and multifaceted relationship between population growth, economic development, resource allocation, and social welfare, focusing on the evolving concept of the "optimal global population." It highlights how moderate population growth can boost economic productivity and living standards by fostering technological innovation and driving industrial transformation. Conversely, unchecked growth intensifies issues such as resource depletion, environmental degradation, and social inequality, creating significant barriers to sustainable development. Recognizing the diversity of global contexts, the analysis emphasizes the need for region-specific and adaptive policymaking. It advocates for aligning demographic trends with economic strategies, environmental sustainability, and social policies to promote balanced and harmonious global development. Additionally, it underscores the importance of global collaboration to tackle shared challenges, such as ensuring equitable resource distribution, fostering innovation, and protecting the environment for future generations. Ultimately, the paper concludes that the "optimal global population" is not a fixed figure but a dynamic and evolving concept. Achieving this balance demands continuous monitoring, informed decision-making, and a steadfast commitment to sustainable development, social equity, and environmental stewardship.
The Development and Challenges of Sustainable Aviation Fuel: Addressing Carbon Emission Reduction in the Civil Aviation Industry
Authors: Han Jiaqi
Published: February 2025

Aircraft aviation fuel combustion is a major contributor to carbon emissions in the civil aviation industry, the most efficient approach to abate carbon in this industry is to use sustainable aviation fuel (SAF). However, the suppressive market atmosphere for the new SAF industry and the issues from production are severely limiting its scale usage. This paper starts from the current situation of SAF, with the qualitative study of its current data and provides methods for its large-scale use. This passage discovers a widespread neglect of civil aviation carbon emissions, people have just gotten started in replacement fuel exploration, which is located at the detrimental position of the investment curve. So the article interprets the existing hindering factors of SAF through price analysis, investment curve analysis and market incentive policy, then proposes the path of SAF from the selection of raw material extraction, adaptation to market incentive environment and potential development of synthesis technology according to the existing issues. Consequently, the proper exploitation of SAF needs multiple stimuli from both markets and policies, which can lead to a long-term prospective elimination of carbon emissions in the civic aviation industry.
Addressing the Digital Divide Among China's Elderly Workforce: Challenges and Strategies for Re-employment
Authors: Zhao Suyu
Published: February 2025

The global ageing problem has become a heavy issue; this brings us to a question: how can such a huge group survive. Relying on the government, the company, or on their own. China has the worst ageing problem; most older people choose to re-employment. Using their remaining energy, they can not only reduce the financial burden of their family but also refresh the whole labor market. However, the re-employment of the elderly is quite difficult because their outdated skills cannot fit today's requirements, and the digital divide appears. The key to supporting older workers' re-employment lies in addressing the digital divide of them. Through collection and summary of the Chinese age structure, status of the Chinese elderly re-employment, and the digital divide of the Chinese elders, this paper analyzes these aspects and conclude that although the technological gap of China's elderly re-employed is obvious, with the joint efforts of the government, enterprises and society, this digital divide will continue to narrow and will be bridged in the future. This paper also aims to find the key of rapidly alleviating the digital divide of Chinese elderly re-employment, and excavate the new solutions to build the bridge.
The Impact of Chinas Rapid EV Battery Industry Development on the U.S. Domestic Supply Chain: Challenges and Strategic Responses
Authors: Xu Xuanhe
Published: February 2025

The rapid development of China's electric vehicle battery industry has significantly reshaped global battery supply chains, creating both opportunities and challenges for the U.S. domestic supply chain. This essay examines the implications of China's advancements in EV battery production and trade on the U.S. domestic supply chain, focusing on multiple aspects such as raw material sourcing, production costs, research and development, international collaborations, and policy-making expenditures. Through a comprehensive literature review, this essay identifies gaps in existing research. There are limited explorations of possible factors contributing current situation faced by the U.S., potential alternatives to the sustainable approach for battery raw material supply and applicable policies for supporting the U.S. domestic battery supply chain. To bridge the existing literature gap, the analysis delves into key challenges faced by the U.S., including rising production costs and limited technological advancements, and explores potential international partnerships to enhance supply chain resilience. The conclusion synthesizes the findings and emphasizes the importance of essential measures to address these challenges. The suggestions section proposes systematic policies for the U.S. government, emphasizing investment in domestic production, building international partnerships, and developing a diversified and sustainable supply chain to mitigate risks associated with China's growing influence. This essay aims to contribute to the discourse on strategic responses to China's dominance in the EV battery industry and provide some feasible pathways for U.S. to reinforce its core competence in the global battery market.
A Review of the Application and Prospect of Medical Diagnosis System in the Context of Artificial Intelligence
Authors: Li Shangxuan
Published: February 2025

Artificial intelligence (AI) has become a major force for change in the healthcare industry, especially in diagnostic systems, where AI plays a key role in improving the accuracy, speed, and efficiency of diagnosis. The deep integration of AI with internet-based platforms has revolutionized the way healthcare is delivered, especially in low-resource settings, where AI provides a scalable solution for healthcare systems. This article explores the application of artificial intelligence in medical diagnosis, focusing on how AI technologies such as machine learning and deep learning can be integrated into areas such as medical imaging, disease prediction, and telemedicine. The article also discusses the rapid development of the internet-based healthcare system, emphasizing the role of AI in improving diagnostic models through real-time data collection and analysis. At the same time, the article also analyzes current challenges, such as data privacy, ethical issues, and regulatory challenges, which limit the widespread application of AI in clinical practice. Through a comprehensive review of existing research, this article outlines the potential and limitations of AI in medical diagnostics and provides insights into its future development trends. The findings show that although AI has great potential to improve the quality and accessibility of healthcare, its application in clinical practice still needs to carefully consider many factors such as ethics, technology, and regulation.
Research on the Impact of Artificial Intelligence on Enterprise Production Management
Authors: Mai Hao
Published: February 2025

This study investigates the application of Artificial Intelligence (AI) in business management, assessing its contributions to decision-making, operational efficiency, and customer service. It highlights both the opportunities and challenges presented by AI, with an analysis of case studies from companies such as Airbnb and Nordstrom to illustrate AIs influence on business processes and innovation. The research concludes that AI confers substantial benefits, including cost savings and data-informed decision-making, while also identifying critical issues such as labor market disruptions and data security that necessitate attention. The adoption of AI is contingent upon a companys size and resources, necessitating bespoke strategies for both large enterprises and small and medium-sized enterprises (SMEs).
An Empirical Analysis of Corporate Return Valuation Using CAPM
Authors: Shi Shengjie
Published: February 2025

In recent years, people have become more and more enthusiastic about investing in the stock market. However, as we all know, the stock market is very unstable, and investors want to get higher excess returns. Therefore, this paper is about how to help investors better choose company stocks to obtain higher excess returns. This paper decides to make use of some theories about in the capital asset pricing model to do an empirical analysis with three ETF representing the entire industry (semiconductor ETF, pharmaceutical ETF, banking ETF), and then put forward suggestions for investors. This paper collects and uses the weekly closing prices of these three ETF from November 24, 2022 to November 24, 2024, to calculate their beta values. They are then classified by comparing their beta values and making recommendations to investors. These figures can be found on the website of IFR. Ultimately, this study shows that the beta values of semiconductor ETF and pharmaceutical ETF are both greater than 1, while the beta value of the bank ETF is less than 1. Therefore, investors can buy stocks of companies in the semiconductor and pharmaceutical industries during a bull market to obtain higher excess returns.
Analyzing the Success Factors of Elon Musk's Business Empire
Authors: Yu Qicong
Published: February 2025

Born in South Africa, Elon Musk began his business career with the online financial services company X.com, which later became PayPal. In 2002, with the $165 million gained from selling X.com to eBay, Musk began expanding his business empire. Over the last two decades, this empire has extended across seven industries, including automotive, aerospace, and transportation infrastructure. Notable companies within this empire include SpaceX, Tesla, and The Boring Company. This analysis examines how Musk's traits have influenced the success of his companies, the role of team building within his enterprises, the impact of R&D innovation on the development of Tesla and SpaceX, and the importance of strategic execution in ensuring business success. Furthermore, the study investigates the influence of external opportunities and environments on Musk's accomplishments. By employing a mix of case studies, a comprehensive literature review, and quantitative analysis, it systematically evaluates the diverse elements that have played a pivotal role in Musk's success. The findings indicate that Musk's success relies on personal vision, innovative capacity, effective team building, substantial R&D investment, flexible strategic execution, and the ability to leverage external opportunities. As one of the most successful entrepreneurs of the era, Musk's business strategies offer valuable insights for the next generation of leaders in a rapidly transforming technological landscape.
The Impact of Fed Rate Cuts on Long-term Investment in Emerging Market Electric Vehicles: A Case Study of BYD
Authors: Zheng Mian
Published: February 2025

In the early morning of September 19, 2024, Beijing time, the Federal Reserve issued a statement on its September interest rate meeting, cutting the target range for the federal funds rate by 50 basis points to 4.75%-5%, which is the first interest rate cut in four years. At the same time, according to the latest data from the China Association of Automobile Manufacturers (CAAM), the production and sales of new energy vehicles in China in September increased by 48.8% and 42.3% year-on-year, respectively, and new energy vehicle sales have accounted for 45.8% of the total new car sales, showing strong market growth momentum. Combining the two facts of the Fed's interest rate cut and the rapid development of new energy vehicles, this study aims to explore how the Fed's interest rate cut affects the long-term supply chain investment decision of new energy vehicles in emerging markets. Through theoretical analysis and case studies, this paper concludes that the Fed's interest rate cut can reduce the cost of financing, thereby facilitating the decision-making of the new energy vehicle industry to make long-term supply chain investments in emerging markets.
A Quantitative Research of Retirement Policy in China Based on PMC-AE Index Model
Authors: Xu Jingyu
Published: February 2025

Under the circumstance of aging phenomenon, Chinas government tried to keep social stability by changing retirement policies. So far, there is no research has systematically evaluated the consistency of the series of policies issued by China's retirement system, or pointed out the advantages and disadvantages of the current retirement policies in China. This paper evaluates Chinas retirement policy (1950-2022) in a quantitative method by PMC-AE index model. Based on the model, it sets nine major variables, including policy level, policy duration, policy nature, target population, release body, policy evaluation, policy input, policy implementation, and policy impact. Results show that the average of PMC index for 14 Chinas retirement policies was 8.21, 3 excellent consistency policies (P10, P11, P14) and 11 perfect consistency policies (P1, P2, P3, P4, P5, P6, P7, P8, P9, P12, P13). Policy 13 Civil Servant Law of the Peoples Republic of China (retirement part) gains the highest score (8.47), and Policy 11Shanghai Urban Employee Pension Insurance Measures scored the lowest (7.97). Therefore, China's retirement policies are generally perfect consistency and low fidelity. The main risk factors are policy implementation and target population. But it gets high marks for policy consistency, effectiveness and input.
The Psychology Behind Irrational Luxury Consumption: Impact of Brand Marketing and Secondhand Solutions
Authors: Wu Siying
Published: February 2025

Luxury goods consumption is often driven by irrational behaviors due to emotional, psychological, and social factors. This research explores the central question of how psychological influences shape irrational luxury consumption and examines the role of marketing strategies employed by luxury brands and secondhand markets. Previous studies have investigated concepts like conspicuous consumption, identity signaling, and emotional drivers as critical aspects of luxury consumer behavior. Addressing this topic is essential because it sheds light on unsustainable consumption patterns while offering solutions like secondhand markets to mitigate financial and environmental impacts. Using a combination of theoretical analysis and case studies, this research evaluates the psychological, sociological, and economic dimensions of luxury consumption. Findings reveal that irrational consumption stems from a convergence of social status desires, emotional needs, and scarcity tactics, while secondhand markets offer a sustainable alternative by extending product life cycles and expanding access to luxury goods. The insights emphasize the importance of cultivating responsible consumer practices and promoting the growth of secondhand markets to balance individual desires with economic and environmental sustainability.
The Advantages and Disadvantages of Electric Vehicle Production and Its Future Prospects
Authors: Zhu Zexu
Published: February 2025

Continued research and innovation on its technology can promote the development of the new energy vehicle industry and strengthen the rapid development of economy. China needs to import a lot of oil from abroad, posing risks of oil resources exhaustion in the future. In this context, it is particularly important to reduce dependence on oil resources and vigorously develop new energy vehicle technologies. This paper describes the development status of new energy vehicles, the advantages and disadvantages of the development of new energy vehicles. It emphasizes the development drawbacks of new energy trams and the feedback of the masses. The paper argues that, with the breakthrough of battery technology, the improvement of charging infrastructure and the popularization of intelligent networking functions, new energy vehicles are not only a means of transportation, but also an important part of intelligent travel solutions. New energy vehicles and their drive motor technologies will remain to be the main path toward the green revolution in the field of transportation and contribute to the construction of a low-carbon and environmentally friendly society.