The Interplay Between Global Digital Trade and Data Privacy Policy: A Comprehensive Review

Yijing Sun

pp.1-8 DOI: 10.62051/zk428812

Abstract: In the era of big data, international trade has gone through a digital transformation and developed into a new stage of digital trade. The gradual prosperity of digital trade and the increasing contribution of digital elements to the economy of countries and the international community also bring about problems such as data abuse, surveillance, privacy infringement, and regulatory difficulties. In order to adapt to the development trend of digital trade, countries are paying more attention to … Read More

Consumer Behavior in the Digital Marketplace: A Fuzzy Evaluation Approach

Wenxi Zhan

pp.9-14 DOI: 10.62051/74cxf592

Abstract: With the growing prevalence of the internet and the development of logistics, consumers face increasingly complex choices when shopping online. Therefore, this article introduces fuzzy comprehensive evaluation to address these shopping issues. In analyzing consumers' purchase decision-making problems for online shopping, it is essential to subjectively evaluate products, such as price, quality, and reputation. By constructing fuzzy relationships and assigning weights, this method effectively … Read More

Behavioral Economics Strategies to Improve Medication Adherence in Diabetes

Haobo Qiao

pp.15-22 DOI: 10.62051/rcm98y51

Abstract: Nowadays, diabetes has become an international challenge. In spite of the great technological advances in human society compared to a few decades ago, a cure for this disease has never been discovered. Hundreds of millions of patients are suffering from it, and in order to enable diabetics to keep their condition as stable as possible, this paper examines how to enhance patients' medication adherence from the perspective of behavioral economics. After reclassification of the influencing factors … Read More

The Ripple Effects of Financial Fraud: Investor Trust and Risk Appetite Post-Kangmei Pharmaceutical

Hao Sun

pp.23-30 DOI: 10.62051/1f5tkb49

Abstract: The financial fraud at Kangmei Pharmaceutical (stock code: 600518) has had profound implications for retail investors. This paper, through data analysis, explores the correlation between information asymmetry and investment outcomes for retail investors. Information asymmetry often leaves retail investors unable to access the true financial state and operational conditions of companies, leading them to make speculative investments. Post-exposure, as information transparency increased, retail … Read More

Research on Factors Influencing Medical Insurance Cost in the US

Quanjing He

pp.31-36 DOI: 10.62051/yj92kn72

Abstract: After the COVID-19 epidemic, the growing concern over medical insurance cost and the factors that influence it are increasingly coming to the forefront. These factors include age, sex, body mass index, number of children, smoker or non-smoker and region. Therefore, this paper analyzes the impact of six factors on medical insurance costs by utilizing data on medical insurance expenses of 2,772 individuals in the US. The analysis employs a multiple linear regression model and the stepwise … Read More

Visualizing Walmart's Supply Chain Management: A Case Study on Detailed Warehouse Management Practices

Xuyuan Zhai

pp.37-41 DOI: 10.62051/y9pfk639

Abstract: Supply chain management (SCM) plays a critical role in the success of modern businesses. Visualization techniques have become increasingly important in improving these processes. These methods have become increasingly significant in recent years, offering new ways to understand and optimize complex supply chain processes. This study focuses on how Walmart uses visualization in its supply chain management to boost efficiency and decision-making. This paper examines the integration of technologies … Read More

Optimizing Retail Inventory Management Through Time Series Analysis

Ziyan Fu

pp.42-48 DOI: 10.62051/dy4kaf37

Abstract: The purpose of this study is to investigate the application of time series analysis in the management of retail inventory, with a particular emphasis on the precision of forecasting as well as the applicability of ARIMA models and seasonal decomposition techniques. This study aimed to evaluate these models' effectiveness in improving the scientific and precise nature of inventory management. This was accomplished by using legitimate retail data. According to the findings, the ARIMA model is … Read More

Optimize Airline Service Policy Based on Airline Passenger Satisfaction Data Analysis

Shiyuan Tian

pp.49-55 DOI: 10.62051/8hkabt52

Abstract: As the preferred means of transportation for long-distance travel after the epidemic, whether an airline can stand out among its peers is deeply related to whether it can satisfy passengers, and the service quality of an airline can significantly affect passenger satisfaction. In this paper, random Forest is applied to judge the correlation between satisfaction and different service factors, and several factors that have the most significant impact on satisfaction are selected. The results show … Read More

Honda‘s Market Presence in China: A Study of Brand Loyalty and Consumer Decisions

Yan Zhang

pp.56-63 DOI: 10.62051/qxd1q665

Abstract: In recent years, the Chinese automobile market has evolved into a mature stage, where product demand remains relatively stable. Under such circumstance, fostering and maintaining brand loyalty has emerged as a critical strategic priority for major automakers. The rationale behind this is clear: retaining loyal customers is a key driver of sustained profits and market share. Drawing insights from Honda's lackluster sales performance in China since 2020 and buttressed by comprehensive literature … Read More

The Changes of Consumer Psychology and Price Sensitivity in Uncertainty: A Case Study of Fast Fashion Brand ZARA

Yanjie Sun

pp.64-68 DOI: 10.62051/cakesb98

Abstract: In recent years, there has been a collective decline in the development of fast fashion clothing brands in the Chinese market. Taking ZARA as an example, its parent company Inditex Group has undergone large-scale store adjustments globally in the past two years, especially in the Chinese market, where the number of ZARA stores has decreased by nearly half compared to four years ago. While Inditex's global revenue has grown, there has been a significant decline in revenue in mainland China. … Read More

Analysis of Earnings Quality and Enterprise Valuation of Microsoft by Earnings Quality and Residual Income Model

Ruitao Jiang

pp.69-75 DOI: 10.62051/v9hsbn18

Abstract: Artificial intelligence has had a remarkable influence in recent years and has developed many revolutionary solutions in many industries. OpenAI’s ChatGPT is one of the most popular products in this trend. As the largest stockholder of OpenAI, Microsoft has committed itself to integrating artificial intelligence into its primary products, like Microsoft Office and Azure. Although Microsoft experienced a continuous slump in stock in 2022, Microsoft’s current stock price has broken through $400 … Read More

The Impact of Bilateral Currency Swaps on Outward Foreign Direct Investment

Yunjie Gao

pp.76-82 DOI: 10.62051/6g1v6770

Abstract: The outbreak of the 2008 international financial crisis caused many countries around the world to face exchange rate fluctuations and currency crises. At the same time, China's central bank creatively began to sign central bank currency swap agreements with other countries to stabilize exchange rates and avoid the risk of fluctuations in the US dollar. This article is based on panel data from 90 countries from 2000 to 2021, and uses empirical analysis methods to explore the impact of currency … Read More

Identification of Supply Chain Disruption Risks and Strategies in the Electric Vehicle Industry Based on Fuzzy Analytic Hierarchy Process (FAHP)

Xinyi Li

pp.83-89 DOI: 10.62051/0n9zp444

Abstract: In recent years, the electric vehicle industry has witnessed unprecedented development opportunities. However, with rapid technological iterations and fluctuating market demands, the vulnerability and complexity of the electric vehicle supply chain have significantly increased the potential risk of supply chain disruptions. Against this backdrop, this study adopts the Fuzzy Analytic Hierarchy Process (FAHP) to systematically analyze the risks of supply chain disruptions in the electric vehicle … Read More

Differential Economic Impacts of Chinese and American Trade Policies on Developed Versus Developing Nations

Changming Dong

pp.90-95 DOI: 10.62051/g4p1j487

Abstract: The trade conflict between the United States and China, the two largest economies in the world, has considerable implications for global economic stability and growth. This topic has been selected due to the necessity of understanding how these trade disputes impact other countries, particularly those heavily dependent on exporting goods to these major economies. The analysis aims to investigate the varied effects of the trade war on both industrialized and developing nations. An analysis is … Read More

Policy Text AI Mining Study —— A Comparative Analysis Based on U.S., U.K., and Chinese Policies

Zixian Wang

pp.96-112 DOI: 10.62051/j9nwwg17

Abstract: Artificial Intelligence (AI) has become a key strategic area to enhance national competitiveness globally. We adopts a textual analysis methodology, based on the three-dimensional framework of policy tools and the LDA thematic model, to conduct a systematic analysis and comparative study of the AI policy texts of the United States, the United Kingdom, and China. The study aims to reveal the policy stance, strategic planning, and challenges and opportunities faced by the three countries in the … Read More

Advanced Analytics for Retail Inventory and Demand Forecasting

Junwei Chen

pp.113-119 DOI: 10.62051/jme9b319

Abstract: Achieving operational efficiency and enhancing customer satisfaction levels in the retail sector is directly dependent on efficient inventory management and accurate demand forecasting. The following study employs advanced analytics techniques, such as time series forecasting and machine learning, to bolster these essential functions. By leveraging on historical sales data from 45 retail stores sourced by Kaggle, this paper has constructed predictive models with the aim to optimize inventory … Read More

Convergence and Innovation of Artificial Intelligence in Corporate Strategic Planning: Opportunities, Challenges and Future Research Directions

Danni Li

pp.120-125 DOI: 10.62051/47zdfx74

Abstract: In the contemporary digital era, the swift evolution of Artificial Intelligence (AI) has not only revolutionized various sectors but has also become an indispensable asset in corporate strategic planning, decision-making processes, and operational efficiency. This paper delves into the multifaceted applications of AI across a myriad of industries, providing a comprehensive analysis of its integration into corporate strategy and its profound impact on business operations. This study adopts a … Read More

Development Status, Challenges, and Countermeasures in the 'Smooth Trade' Mode of China's Belt and Road Initiative

Jia Du

pp.126-130 DOI: 10.62051/zwhn0m49

Abstract: The "the Belt and Road" is a bridge and link connecting economic and trade exchanges between Asia, Africa and Europe. It concerns billions of people around the world. It is also one of the largest comprehensive development planning projects in the big world. In 2013, the General Secretary put forth the vision of collaboratively building the “Belt and Road” Initiative. Over the ensuing 11 years, this concept has transitioned from being a mere idea to being actively implemented, evolving from … Read More

The Dynamics of Disparity: A Comprehensive Analysis of the Causes and Consequences of Income and Wealth Inequality and Policy Interventions for Mitigation

Zhangyifan Wang

pp.131-138 DOI: 10.62051/etqykr20

Abstract: In today's global economy, economic disparities remain a pressing issue, persisting across different societies. This paper explores the causes, impacts, and potential policy interventions to address income and wealth inequality. The analysis draws on insights from prominent economists such as Darren Acemoglu, James A. Robinson, Joseph E. Stiglitz, Branko Milanovic, Thomas Piketty, and Emanuel Saez. According to the study, globalization, automation, and labor market dynamics are key economic … Read More

The Influence of Cultural Backgrounds on Team Dynamics and Decision Making in Multicultural Environments

Zhongyu Xie

pp.139-145 DOI: 10.62051/1nng6893

Abstract: With the deepening development of globalization, cross-cultural communication is becoming increasingly frequent, and the role of multicultural teams in enterprises, education, scientific research, and other fields is becoming increasingly prominent. However, while multicultural teams bring innovation and competitive advantages, they also face challenges such as cultural conflicts and communication barriers. This study aims to explore the strategies and challenges of multicultural teams in … Read More

Research on the Influencing Factors of Rental House Prices

Xiaoyang Mao

pp.146-151 DOI: 10.62051/cs0pd728

Abstract: Since the 1990s, China's real estate market has gradually recovered, and has developed into a large and mature trading market today, as the housing price increase, the demand of housing rental also increases a lot. Based on this this article aims to identify the factors that have an impact on rental price. The method of multi-linear regression is used to analyze the factors with over 10,000 samples in Guangzhou from May 2020 to June 2020 from the website of LianJia, one of the biggest real … Read More

Comprehensive Analysis of Football Player Market Valuation: Integrating Performance Metrics and Marketability Factors

Jiaxuan Cai

pp.152-158 DOI: 10.62051/2rybtf79

Abstract: In the fast-paced world of professional football, valuing players involves numerous factors. This paper explores the determinants of football players' market values using a mixed-methods approach. Quantitative data from sources like Opta Sports, Transfermarkt, and the CIES Football Observatory, along with qualitative insights from semi-structured interviews with industry experts, were analyzed. The quantitative analysis found that goals scored and social media followers significantly predict … Read More

Impact Of Global Semiconductor Shortage on The Domestic New Energy Vehicle Supply Chain in Australia And Measures to Mitigate Such Risks in The Future

Binghui Li

pp.159-165 DOI: 10.62051/rzcse564

Abstract: Different industries have been affected by the shortage of semiconductors globally, and one of the most affected industries is the New Energy Vehicle (NEV) industry within Australia. Semiconductors play a massive role in NEV features like battery management and power management. These factors include the COVID-19 pandemic, the rise in electronics demand, natural calamities, and most importantly the shortage which has affected NEV production and sales in Australia. This paper discusses the … Read More

An Analytical Study on Global Automotive Price Trends and Influencing Factors

Feiran Han

pp.166-173 DOI: 10.62051/5fngf840

Abstract: This study analyzes global automotive price trends and the key factors influencing these trends from 2018 to 2023. Using a mixed-method approach, it examines historical data, market conditions, and future projections. The findings highlight the impact of technological advancements, economic conditions, government policies, and changing consumer preferences on automotive prices. The study reveals a consistent increase in electric vehicle (EV) adoption, driven by government incentives and … Read More

Investigation Upon Factors Contributing to Housing Price Variations-Specifically Sydney for Reference

Haowen Pang

pp.174-178 DOI: 10.62051/4r609702

Abstract: The purpose of the article is to determine the small aspects that can affect the overall housing prices around the globe. It will be established by looking into one specific area and finding the relationship between them. This research will be using a multiple linear regression model to find the connection. The study used 300 samples and 9 variables each, all are possible variables that can influence overall house price. The data are from Sydney Urban areas collected during the 2020-2021 house … Read More

An Empirical Study on Asset Pricing Models Based on The Chinese A-Share Market

Yuwen Wang

pp.179-188 DOI: 10.62051/5d0f4g39

Abstract: Based on the analysis of the A-share markets in Shanghai and Shenzhen Stock Exchange from 2000 to 2023, this paper systematically evaluates the applicability and explanatory power of the Capital Asset Pricing Model (CAPM), the Fama-French Three-Factor Model (FF3) and the Fama-French Five-Factor Model (FF5) in the Chinese market. The study finds that although CAPM has some explanatory power in the early stage, the three-factor and five-factor models can better explain the cross-sectional changes … Read More

Pricing Model Construction and Empirical Research on Catastrophe Bond Pricing for Three Major Crops in China

Luo Chen

pp.189-195 DOI: 10.62051/mn53sm74

Abstract: Agricultural disaster risks are significant for the sector's development, and existing risk management tools have limitations.This paper introduces a nationwide catastrophe bond for wheat, maize, and rice , offering broad coverage for China's agriculture. The paper utilizes marginal distribution and Copula function fitting to model the disaster losses of the three major crops from 1990 to 2022. It employs Monte Carlo simulation to generate a 10,000-year event set and rank correlation to align … Read More

The Influence of Big Data Analytics on Supply Chain Operations Efficiency

Tingnan Zhang

pp.196-203 DOI: 10.62051/yv3fkm05

Abstract: This paper aims to validate the feasibility of establishing a risk assessment system. Delphi and Entropy Weighting for Indicator Weighting was conducted by experts in the field of economics on the assessment data of Haier's supply chain indicators to analyze and derive a risk assessment system based on Haier's supply chain indicators. With a comprehensive analysis of risk assessment indicators using the Delphi and entropy weighting methods, the feasibility of the evaluation system for supply … Read More

A Study On The Impact of The Digital Economy on China’s Carbon Neutrality Capability

Shangxu Wu

pp.204-212 DOI: 10.62051/1btcwz77

Abstract: The digital economy is a new economic form driven by digital technology, which contains green and low-carbon effects and can promote the transition to a resource-saving and environmentally friendly society. This paper explores the impact of the digital economy on carbon neutrality capability using panel data from 30 provinces in China between 2013 and 2021and finds that the digital economy has a positive effect on carbon neutrality capability with non-linear characteristics. It has a positive … Read More

The Applicability of The Pecking Order Theory in The Digital Economy

Yuqi Cui

pp.213-219 DOI: 10.62051/h4g58384

Abstract: The Peck Order Theory (POT), proposed by Myers and Majluf in 1984, posits that firms prioritize their sources of financing based on the principle of least resistance, starting with internal financing, followed by debt, and ending with equity as a last resort. In the context of the digital economy—which is defined by new finance mechanisms and technical advancements like big data, blockchain, crowdsourcing, and artificial intelligence (AI)—this study investigates the applicability and relevance … Read More

The Influence of Legalization of Gambling Industry on The Change in Urban Labour Output

Yungaowa Ao

pp.220-222 DOI: 10.62051/fdkgmn91

Abstract: A side from the fact that gambling stimulates crime in places such as Britain, Las Vegas and Macau, it has boosted tourism and the region's Labour force. The legalization of gambling industry has promoted the formation of a huge business system in Singapore, Las Vegas and other areas to meet the needs of gamblers, such as catering, hotels and luxury goods. And in the early stage of legalization, the local crime rate will not increase significantly but the unemployment rate will drop greatly. So … Read More

Can E-Commerce Policies Drive Common Wealth Levels —— A Study Based on County-Level Data in China, 2012-2020

Guanlin Guo

pp.223-234 DOI: 10.62051/s9a31432

Abstract: Based on national county panel data from 2012 to 2020, this study systematically examines the impact of the comprehensive e-commerce into rural areas demonstration project implemented in rural China on promoting the level of common wealth by applying the multi-period double-difference method (DID). It is found that the e-commerce policy significantly enhances the level of common wealth. Further analysis of the impact mechanism shows that the policy effectively promotes the goal of common … Read More

The current world economic situation and its impact on China's foreign exchange and foreign investment

Bei Huang

pp.235-242 DOI: 10.62051/fqqw5q05

Abstract: In 2023, the world economy shows clear growth divergence and complex changes driven by technology. The United States economy is showing strong resilience, but its growth is still affected by inventory movements. In contrast, the economies of the euro area and Japan face serious challenges, while some emerging economies, such as India and Vietnam, show signs of a positive recovery. Meanwhile, prices in major economies generally rose, international trade improved slightly and financial markets … Read More

Research on High-quality development of enterprises based on an intelligent background

Yuhao Gao

pp.243-255 DOI: 10.62051/6crsmx07

Abstract: In the global economy, intelligent technology has attracted much attention as a crucial factor in propelling enterprises towards achieving high-quality development growth. Taking the financial reports of A-share listed companies in Shanghai and Shenzhen Stock exchanges published from 2007 to 2022 as samples, this study explores the influence and mechanism of intelligent technology on the high-quality development of enterprises. The study finds that intelligent technology has a substantial … Read More

Overseas Returnee Executives and Digital Transformation of Enterprises: From the Perspective of Executive Compensation Gap and Executive Overconfidence

Qi Huang, Yuhang Xu, Shiming Tu

pp.256-271 DOI: 10.62051/ns880d35

Abstract: This article selects panel data of A-share listed companies in Shanghai and Shenzhen from 2013 to 2022, uses a fixed effects model to study the relationship between overseas returnee executives and digital transformation of enterprises, and analyzes the moderating effects of executive compensation gap and executive overconfidence. The research results indicate that overseas returnee executives can significantly promote the digital transformation of enterprises; The salary gap and overconfidence … Read More

Evaluation of the Ecosystem Services Value of Agricultural Industrial Parks under the Background of Tianfu Granary Construction - A Case Study of the Daoming and Longxing Districts in Chongzhou City

Jiatong Wang, Haoran Xv, Yihong Wang, Huan Xie, Ruifeng Zhao

pp.272-281 DOI: 10.62051/n7bw1b04

Abstract: In the new era, China faces two major challenges of food security and ecological protection. The agricultural industrial parks constructed in the process of developing the Tianfu Granary play a significant role in China's food supply and ecological security as a special type of farmland ecosystem. Accurately calculating the value of ecosystem services in agricultural industrial parks is of great importance for achieving sustainable agricultural development and comprehensively realizing rural … Read More

Meta-analysis on the Diagnostic Value of SDC2 Methylation in Colorectal Cancer Screening Among Chinese

Yi Wu

pp.282-291 DOI: 10.62051/4v79wb06

Abstract: To systematically evaluate the diagnostic value of syndecan-2 (SDC2) gene methylation status in the detection of Colorectal cancer (CRC) and advanced adenomas (AA) through meta-analysis. Databases including PubMed, Web of Science were searched from 2020 to June 14, 2024. Relevant studies were selected based on predefined inclusion and exclusion criteria. The true positive (TP), false positive (FP), false negative (FN), and true negative (TN) results were calculated for each study. The quality of … Read More

The Research on Influence Factors of Red Wine Quality

Tianze Liu

pp.292-297 DOI: 10.62051/xxq55t12

Abstract: Nowadays, product quality certificates are being used by enterprises to market their products. This is an expensive and ineffective process that takes a long time and requires assessments from customers and human experts. Determining the relationship between a red wine's chemical composition and subjective quality is a difficult task. This paper investigates the use of statistical methods, such as linear regression, to predict the values of target variables and ascertain how dependent the target … Read More

The Impact of Financial Information Transparency on Corporate Governance Effectiveness

Jingxuan Wang

pp.298-302 DOI: 10.62051/5kh49x75

Abstract: In today’s rapidly changing business environment, financial information transparency has become a key indicator for measuring the quality of corporate governance. This paper introduces the basic concept of financial information transparency, the relationship between financial information transparency and corporate governance, and focuses on the impact of financial information transparency on stakeholders, challenges and strategies to improve financial information transparency, and finally … Read More

Research on the Influencing Factors of House Prices in Chicago

Pinyao Liu

pp.303-308 DOI: 10.62051/1jq1vs36

Abstract: This study provides a comprehensive analysis of the factors that influence housing prices in suburban Chicago. Using detailed regression analysis, several key variables were identified as significant predictors of property value. The study included variables such as the number of bedrooms, square footage, number of rooms, size of the lot, annual taxes, number of bathrooms, number of garages, and the condition of the house. The R-squared value of the model is 0.732, indicating that approximately … Read More

A Study on Factors for Religious Faith of Muslim Youth in China

Kuaichong Ma

pp.309-316 DOI: 10.62051/0kmt2215

Abstract: This study investigates the factors influencing the religious faith of Hui Muslim youth in China, focusing on internal and external elements. The study used a mixed-methods approach, integrating quantitative surveys and qualitative interviews done in multiple mosques in Shanghai. Examined include external elements such as social integration, governmental policies, and educational environments, as well as internal factors such as personal beliefs, family influence, and community support. The … Read More

Investigation on Influence Factors of the C-REIT Market: Applying the Fama-French Three-Factor Model

Mingda Huang

pp.317-322 DOI: 10.62051/rwh8dp83

Abstract: This research paper has applied the Fama-French Three-Factor Model to the China Real Estate Investment Trust (C-REIT) market over a two-year period from June 2022 to June 2024. The innovation is recognized as the C-REIT market was established in 2021 with the first 9 REITs issued and few researches were conducted on the C-REITs. The study obtained data from the Wind database in the after-COVID period and concluded that the model fits well for the behavior of the Chinese REIT market. The market … Read More

Internal employer brand, employee engagement and perceived organizational support:A review of literature

Junjie Wang, Jingwen Wang

pp.323-326 DOI: 10.62051/pnmwnf58

Abstract: The satisfaction of existing employees and the retention of talents are the basic elements of organizational success. In this context, this study intends to build a research model of "internal employer branding - perceived organizational support - employee engagement", aiming to explore whether the process and method of employer brand building within an enterprise can improve the engagement of existing employees. Employer branding was initiated by Ambler and Barrow (1996) with an aim to attract … Read More

Global Competitiveness of China's New Energy Vehicle Industry: The Dual Role of Production Factors and Market Demand

Ramtin Farkhondeh Dokht

pp.327-333 DOI: 10.62051/nv2nvb27

Abstract: In recent years, China's new energy automobile industry has risen rapidly and become an important player in the global market. Against the background of the global response to climate change and the promotion of green development, the development of the new energy automobile industry is not only related to China's economic transformation, but also occupies a pivotal position in the global industrial chain. This paper explores the dual impact of production factors and market demand on the global … Read More

Cross-ownership and Corporate Innovation

Wenlu Zhang

pp.334-337 DOI: 10.62051/1pce8327

Abstract: This article takes Chinese A-share listed companies from 2014 to 2022 as the research sample, and uses a multiple regression model to empirically test the relationship between cross-ownership and corporate innovation efficiency. Research has found that: (1) cross-ownership can improve the innovation efficiency of enterprises. (2) when the internal control quality of the enterprise is high and the legal system environment is good, the promoting effect of Cross-ownership on the innovation … Read More

Research on the Predictive Ability of Economic Policy Uncertainty on Stock Returns of Industries

Yuxuan Liu

pp.338-349 DOI: 10.62051/0bqtnf10

Abstract: In recent years, the emergence of economic policy uncertainty has had a certain impact on stock returns. It can be used as a research object to explore whether economic policy uncertainty can significantly predict future stock returns. This paper studies the predictive ability of economic policy uncertainty based on relevant data from major industries in the United States from January 1985 to December 2023, including Food industry (Food), Retail Stores industry (Rtail), Fabricated Products … Read More

Common Institutional Ownership and Auditor Risk Response

Cheng Cheng

pp.350-369 DOI: 10.62051/83dcqf89

Abstract: Based on the data of China's Shanghai and Shenzhen A-share listed companies from 2010 to 2021, this paper investigates the relationship between a company's common institutional ownership and auditors' risk response behavior. The study shows that common institutional ownership drives auditors to increase audit investment and audit fees, which supports the collusive fraud effect. Further analysis reveals that the effect of common institutional ownership on auditor risk response behavior is more … Read More

A Summary of the Research on Feedback-seeking Behavior

Kailun Pang

pp.370-373 DOI: 10.62051/j88zs735

Abstract: Feedback seeking behavior of employees plays an important role in the development and progress of an organization. Among the influencing factors of feedback seeking behavior, leadership style has attracted the attention of researchers. In this study, the connotation, motivation and related research of feedback seeking behavior are sorted out. It can be found that the characteristics of feedback seekers, the characteristics of feedback sources and organizational environment factors may affect … Read More

Reverse mixed ownership reform and financial risks in private enterprise

Weiyao Lu

pp.374-388 DOI: 10.62051/se70xa82

Abstract: The mixed ownership reform is an important part of the economic restructuring in our country. In addition to the participation of non-state-owned capital in soes, it is also more and more common for state-owned capital to participate in the reverse mixed ownership reform of private enterprises. As an important force in China's economic development, the national economy has entered a new normal in recent years, and due to the impact of COVID-19, the Sino-US trade war and other events, many … Read More

Taxation Can Significantly Enhance The Effectiveness of Reward and Punishment Mechanisms in The N-Person Snowdrift Game

Yihao Liu, Xinsheng Liu

pp.389-405 DOI: 10.62051/nqkdp498

Abstract: We extend the reward and punishment mechanisms in the N-person evolutionary snowdrift game (NSG) model by constructing a tax-based pure punishment NSG model and a tax-based pure reward NSG model. Using replicator dynamics, we established two sets of dynamic equations that describe the evolution of the frequencies of the three strategies. Over longer time scales, both systems exhibit stable states involving two strategies, with the exclusion of the third. Introducing tax factors into the reward … Read More

TCL Technology's Merger and Acquisition of Central Electronics: Analysis of Corporate M&A and Restructuring Strategies

Li Liu

pp.406-415 DOI: 10.62051/58wtg986

Abstract: Benefiting from national policy support and market economy, China's semiconductor industry has made significant progress in technological innovation, especially in the context of 5G, smart Internet and big data era, the center of gravity of the industry is shifting from South Korea and Taiwan to mainland China.Through the acquisition of Azeus, which is equipped with profound semiconductor packaging and testing technology, TCL Technology aims to enhance its competitiveness in the semiconductor … Read More

Research on investment and financing risk problems and countermeasures of PPP construction projects

Xingyu Shang

pp.416-423 DOI: 10.62051/b78rx394

Abstract: This study analyzes financing costs, capital liquidity, policy changes and contract execution risks in PPP project investment and financing, and puts forward strategies such as optimizing financing platforms, reducing costs, strengthening regulations, regulatory coordination and improving prevention capabilities. By exploring the causes and effects of risks, combined with domestic and foreign cases to verify the effectiveness of the strategy. This study enriches the theory of PPP risk … Read More

A Review of Research on The Impact of Differential Order Atmosphere

Shitong Li

pp.424-427 DOI: 10.62051/nh4e7104

Abstract: At present, research on the differential order atmosphere mainly focuses on its impact. The outcome variables mainly focus on behavior, and cognition and emotion are often used as mediating variables between perceived differential order atmosphere and employee work behavior. Scholars have not reached a consensus on whether the impact of a differential order atmosphere on employee behavior, cognition, and emotions is negative or positive. The research on the outcome variables of differential … Read More

Impact of Equity Liquidity on Corporate Value—— Based on The Empirical Analysis of China's A-Share Listed Companies

Ruixin Zhang

pp.428-437 DOI: 10.62051/86n98x23

Abstract: Since the establishment of the Shanghai and Shenzhen Stock Exchange, China's stock market has experienced a development process from scratch, from small to large, and from weak to strong. During this period, the liquidity of China's stock market has increased significantly. The stock market can affect the real economy by changing the motivation and influencing the behavior of enterprises, which is crucial to economic development. Many scholars at home and abroad have studied the impact of stock … Read More

Measurement and Analysis of The Development Level of Open Economy: A Case Study in Jiangsu Province

Xueru Zhang, Jing Yu

pp.438-451 DOI: 10.62051/msfzyq76

Abstract: In recent years, the international landscape has rapidly evolved, presenting new challenges and opportunities for open economies. Using Jiangsu as a case study, this article assesses the province's open economy level through global factor and cluster analysis. Research has found that the overall development level of open economies in various cities has shown a tortuous growth trend, with significant regional differences between cities, indicating that the previous model of winning by quantity is … Read More

The Impact of R&D Investment on The Financialization of Enterprises —— Take The Manufacturing Industry as An Example

Qingyu Xu

pp.452-460 DOI: 10.62051/2r1j0793

Abstract: In recent years, the excessive investment of entity enterprises leads to the phenomenon of enterprise financialization, which makes the development of entity enterprises fall into a vicious circle. How to restrain the excessive financialization trend of enterprises and promote the high-quality development of real enterprises has become an urgent problem to be solved. Based on the financial data of listed companies in A-share manufacturing industry from 2008 to 2022, this paper studies the … Read More

Research on the influence of green finance policy on enterprise green innovation

Xun Zhou

pp.461-469 DOI: 10.62051/gq4x6y64

Abstract: At present, China's economy has entered a new normal, and policies with economic growth as the core can no longer meet the needs of social development. In recent years, China has vigorously promoted the green transformation of economic development, and the construction of a green innovation system has become the only way to improve the ecological environment and promote green development. Green finance, as a financial tool providing services for green industries such as energy conservation, … Read More

Research on the Impact of ESG Performance on Stock Price Volatility of Enterprises: Empirical Evidence from A-share Listed Companies

Mulatihan· Yelaman

pp.470-476 DOI: 10.62051/gge7ed85

Abstract: As socially responsible investment and sustainable development gain traction, the ESG performance of companies is increasingly attracting investor and public attention. ESG ratings help identify responsible firms, enabling assessment of their contributions to sustainable growth.This article examines Shanghai and Shenzhen A-share data, focusing on the impact of ESG performance on stock price volatility. Key findings include:A significant negative correlation exists between stock price volatility … Read More

Supply Chain Management Optimization Solution for Manufacturing Enterprises in the Context of Digital Transformation

Jinlin Ma

pp.477-482 DOI: 10.62051/14f3e855

Abstract: With the deepening of digital transformation, manufacturing enterprises are facing major changes in supply chain management. This paper focuses on how to optimize supply chain management through digital means to realize the intelligence and efficiency of the supply chain. By analyzing the impact mechanism of digital transformation on supply chain information flow, logistics and response speed, it proposes strategies such as building digital infrastructure, innovating collaborative mechanisms, … Read More