Asia Pacific Economic and Management Review

Study on Risks and Precautions of Enterprise Accounting Informatization in the Context of Big Data

Jinyan Yi — 2024-09-11

This thesis probes into the risks and precautions of enterprise accounting informatization under the background of big data. As an important means of modern enterprise financial management, accounting informatization has a range of development advantages, simultaneously, also bringing numerous potential risks. Firstly it elaborates the concept and development advantages of the importance and value of accounting informatization to enterprise financial management, then carries on the selective analysis to the targeted risk problems of software systems in terms of security risks, data security and information leakage, human operation errors, and puts forward the corresponding prevention strategies. In aspects of systems, personnel and information systems, enterprises need to perfect relevant rules and regulations, reinforce employees' security consciousness and professional level, and improve the system defense system to prevent potential risks, and ensure the safe, stable and efficient operation of accounting information systems.

Green Loan Interest Subsidy Policy, Green Technological Innovation, and High-Quality Enterprise Development

Meiwang Feng — 2024-10-29

The question of how financial and fiscal policies can be coordinated to exert substantive incentive effects, thereby promoting enterprises' green and low-carbon transformation as well as high-quality development, stands as a crucial challenge currently confronting China's real economy. This paper zeros in on the synergistic perspective of financial and fiscal policies, leveraging data from A-share listed companies in China spanning the years 2008 to 2020. Employing a progressive difference-in-differences (DID) model, it empirically assesses the structural impact of Green Loan Interest Subsidy Policy on enterprises' total factor productivity (TFP). The research demonstrates that Green Loan Interest Subsidy Policy are effective in enhancing enterprises' TFP, thereby empowering their high-quality development. An analysis of the impact mechanism reveals that these policies stimulate incremental and qualitative improvements in enterprises' green technological innovation mechanisms, optimizing TFP and driving high-quality development. Heterogeneity analysis further indicates that the incentive effects of Green Loan Interest Subsidy Policy on TFP are more pronounced in eastern and central regions, , as well as among enterprises operating in green and low-carbon industries. These findings offer theoretical support for governments, banks, and enterprises in guiding enterprises towards green and low-carbon production and high-quality development through green credit and interest subsidy policies.

Regression Analysis of GDP Development of Cities in China — Taking Foshan and Fuzhou as Examples

Wenyan He — 2024-09-04

GDP (Gross Domestic Product), is the final result of production activities of all resident units of a country (or region) in a certain period of time. GDP is not only a core indicator of national economic accounting, but also an important indicator of the economic situation and development level of a country or region. China is the largest developing country and the second largest economy in the world. Since reform and opening to the outsideworld, China’s economy has maintained rapid growth, making a significant contribution to global economic growth. In 2020, China’s GDP brokekthrough 100 trillion, became the only major economy in the world to achieve positive growth; in 2022, China’s GDP reached 121 trillion, with a growth rate of 3%, and per capita GDP exceeded 12,000 dollars. With new momentum such as high-tech manufacturing and services growing, the quality of China’s economic development has been steadily improving, residents’ incomes basically synchronized with economic growth, and grain output stabilized at over 1.3 trillion pounds for eight consecutive years. Thus it can be seen, China’s economy has showed strong resilience, potential and space to embrace a brighter future. Focusing on specific regions, the GDP of some prefectural-level cities in China has been developing rapidly, showing the trend of “a thousand sailboats are competing across the river”. This phenomenon is most notable in the eastern part of China. Among them, Fuzhou City, capital of Fujian Province, and Foshan City, Guangdong Province, as two second-tier cities on the southeast coast, have received more attention for their GDP. In February 2023, the Foshan City Statistical Bureau released its GDP data for 2022: the total amount was 1,269.839 billion, with an incremental GDP of 54.185 billion and a nominal growth rate of 4.46%. Almost at the same time, Fuzhou City Statistical Bureau also released data: the city’s GDP realized 1,230.823 billion in 2022, with a nominal growth rate of 8.69%, moving up two places in the national GDP ranking. The two cities met in the national GDP ranking, ranking 17th and 18th respectively. And Fuzhou City has achieved an astonishing nominal growth rate of 8.69 %, also proved the importance of the strong provincial capital strategy for Fujian. These two cities, to a certain extent, also condensed the development status of the Fuxia Economic Circle and the Zhujiang Triangle Economic Circle, predicting and analyzing the economic significance of the GDP data of these two cities. This paper analyzes the GDP data of Foshan City and Fuzhou City based on the development in recent years, and tries to perform simple OLS linear regression analysis on its data through using statsmodels.api, matplotlib and so on in Python software, and selects the year of use reasonably according to the regression results to predict the GDP of the two cities in the future and provide the basic suggestions in a simple way.

Research on Strategies for High-Quality Development of Digital Economy Innovation in the Context of High-Level Opening-Up: A Case Study of Wenzhou, Zhejiang

Yiqing Huang — 2024-10-25

n the context of high-level opening-up, the digital economy has become a key driver of economic growth and industrial upgrading, emerging as a central issue in China's modern economic development. This study explores the significance of digital economy innovation in this context and addresses the challenges it faces, such as the need for technological advancement, incomplete legal frameworks, and a shortage of relevant talent. Strategies to enhance technological innovation, improve legal systems, and streng1hen the cultivation and attraction of digital economy talent are proposed. The feasibility of these strategies is validated through a case study of Wenzhou, Zhejiang, providing insights for the development of China's digital economy in the new era.

A Study on the Governance of Hazardous Materials Transportation Platforms in a Data-driven Context — Building on the Success of Full Truck Alliance

Xinyue Kong — 2024-09-06

The hazardous chemical transportation industry is witnessing unprecedented changes, especially with the rapid development of digital technology driven by big data, artificial intelligence and other technologies. In this context, there is an urgent need for the industry to establish an efficient, safe and reliable platform for the transportation of hazardous chemicals. Taking the hazardous chemical transportation platform as the research object, this study explores how hazardous chemical transportation can achieve safety and efficiency improvement in a data-driven context through platform governance. By analyzing the operation mode of existing dangerous goods transportation platforms and combining the latest data governance technologies, a set of systematic governance strategies is proposed to provide a theoretical basis and practical reference for the digital transformation of related enterprises.

Development and Transformation of Financial Companies in the New Era

Yaoduan Pei — 2024-09-26

The purpose of this study is to explore the transformation strategy of financial companies in the new era and its effect evaluation. As an important part of China's accounting service industry, financial companies are facing many challenges and opportunities in the new era background. In order to adapt to the new market environment, financial companies need to carry out a series of transformations to enhance their competitiveness. In a word, this study makes a comprehensive discussion on the transformation strategy and its effect of financial companies in the new era, and provides a useful reference for Chinese financial companies. In the future development, finance companies should continue to deepen reform and innovate to meet the requirements of the new era and achieve sustainable development.

Correlation Analysis of ESG Ratings and Enterprise Performance

Qingjing Wang — 2024-09-23

ESG (environment, society and governance) evaluation system, as a tool to comprehensively consider the sustainable development ability of enterprises, is increasingly receiving attention. In the context of the promotion of the concept of global sustainable development and the pursuit of high-quality economic development, many third-party evaluation institutions and index research organizations at home and abroad are actively building and improving the ESG rating framework. Through systematic review of domestic and foreign academic circles of ESG rating and enterprise performance correlation research results, this paper reveals an important discovery: ESG rating mechanism not only provides the mirror of self, make it can accurate positioning and optimization in environmental protection, social responsibility and corporate governance, also became the driving enterprises to the direction of more green, harmonious and efficient key force, and promote the long-term sustainable development of the enterprise.

Global Risk Attitudes Research: From Climate Change to Vaccination

Yumo Song — 2024-09-04

In recent years, risk challenges have become more intense with the globalization of the economy. As global risk attitudes have a considerable impact on various factors of global risk treatment, research on global risk attitudes has gradually increased in recent years, but there has been little bibliometric analysis, including co-citation analysis, hot topics, detection of unexpected events, and emerging trends. Therefore, this paper uses a combination of conventional bibliometrics and machine learning to address the above questions and to intuitively present hot topics and future research trends in global risk attitude research. It was found that major diseases, behavioral influences between men and women, climate change, experimental inquiry, vaccination, and sexual health were the most popular topics in global risk attitude research. Based on the current status of global risk attitude research, future research could be conducted on the topic of people’s attitudes toward vaccination after COVID-19 infection to explore whether there are new changes in these people’s attitudes toward vaccination. In addition, cluster analysis and burst detection of research themes revealed that vaccine hesitancy remains the most popular research direction in global risk attitude research at present. It is also very forward-looking to conduct research based on vaccine hesitancy as one of the top 10 health threats facing the world.

Boosting Hometown Entrepreneurship Performance: Insights from Entrepreneurial Ecosystem Theory

Yayuan Luo — 2024-10-29

The pivotal entrepreneurial performance displayed by rural enterprises holds paramount importance for sustaining the vitality of entrepreneurial activities. Consequently, the pursuit of enhancing this performance has garnered escalating interest and extensive attention among rural entrepreneurs. Drawing upon the theoretical framework of entrepreneurial ecosystems, this paper meticulously integrates seven core elements and innovatively fuses two emerging analytical approaches, namely NCA(Necessary Condition Analysis) and fsQCA(fuzzy set Qualitative Comparative Analysis), to delve into the intricate causal nexuses within these ecosystems that propel entrepreneurial performance within the unique context of China's rural landscape. The findings reveal that: (1) individual components of the entrepreneurial ecosystem do not independently guarantee high-quality entrepreneurial decisions; rather, robust social norms emerge as a more ubiquitous factor in fostering such quality. (2) Three distinct pathways underpin high-quality entrepreneurial decisions: a cognitive-informational dual-propulsion mechanism, a cognitively inclined resource-driven approach, and a cognitively communal driver. (3) there is one path that drives non-high entrepreneurial decisions, and they are related to the entrepreneurial performance of high entrepreneurial performance. They are asymmetrically related to the entrepreneurial ecosystem that produces high entrepreneurial performance.

Artificial Intelligence Background Corporate Financial Management Transformation Study

Huijie Hu — 2024-09-04

This paper aims to explore the trends of corporate financial management transformation under the backdrop of Artificial Intelligence (AI). With the rapid development of AI technology, corporate financial management is facing unprecedented opportunities and challenges. Through an in-depth analysis of the basic concepts, key technologies, and application cases of AI technology in financial management, this paper reveals the revolutionary impact of AI technology on financial management. Combined with practical cases, this paper discusses the success factors and challenges faced in the AI-driven financial management transformation process, including issues such as data privacy protection and human resources training. Finally, this paper outlines the future development trends of AI in financial management, including more intelligent decision support systems, and the widespread application of blockchain technology in the financial sector. Through this research, it is hoped to provide practical guidance and decision support for enterprise leaders and decision-makers on how to effectively utilize AI technology to optimize financial management.

Research on the Strategy for Constructing a Green and Low-Carbon Urban Ecosystem under the Dual-Carbon Strategy: A Case Study of Wenzhou, Zhejiang

Luote Dai — 2024-10-25

Against the backdrop of global climate change and increasing environmental pressures, the dual-carbon strategy has become a significant national policy driving China's green transformation. This paper begins by emphasizing the importance of building a green and low-carbon urban ecosystem under the dual-carbon strategy and addresses key challenges such as immature green and low-carbon technologies, underdeveloped policies and legal frameworks, and a lack of human resources. Strategies proposed include strengthening the research and innovation of green and low-carbon technologies, improving relevant policies and regulations, and accelerating talent cultivation and recruitment. These strategies are validated through the case study of the urban ecosystem construction in Wenzhou, Zhejiang, providing a reference for the low-carbon transition of modern cities in China.

Discussion on the Comprehensive Influence of E-commerce on Business Administration

Yang Fan — 2024-09-23

E-commerce is profoundly changing the traditional business model. Through the seamless connection between online and offline, it has greatly promoted the connectivity of the global sales market, so that enterprises can cross the regional boundaries to achieve more convenient and efficient global operation. At the same time, the multi-channel sales strategy provided by e-commerce not only enriches the choices of consumers, but also helps enterprises to reduce their operating costs and break the geographical restrictions. This paper aims to deeply analyze the impact of e-commerce on the field of business administration, and explore innovative strategies to help enterprises to achieve efficient and flexible development in the complex and changeable market environment.