Digital Economy Research Articles

Green Financing, Energy Transformation, and the Moderating Effect of Digital Economy in Developing Countries

AbstractThe energy sector in many developing nations faces the difficulty of insufficient financing throughout the low-carbon transition, highlighting the importance of international green financing in alleviating financial constraints. The advancement of digital technology could facilitate green financing for energy transition in the digital economy, but this statement lacks empirical evidence. The primary objective of this research is to investigate the impact of international green financing on low-carbon energy transformation in developing nations. Additionally, we investigate the moderating role of digital economy between the two. Our findings validate the favorable impact of international green financing on low-carbon energy transformation, and this impact is particularly evident for hydro and wind energy consumption. We show that this beneficial effect is greater for low-income countries or regions with high levels of energy transition. We also provide evidence of the positive moderation effects of digital economy and find that its effects are still present in the transition to hydro and wind energy. This research helps to broaden green financing channels for the energy sector in developing countries, especially from the perspective of digital economy.

Digital tax policies and compliance challenges for MSMEs in Indonesia

As digital Micro, Small, and Medium Enterprises (MSMEs) rapidly grow in Indonesia, ensuring their compliance with tax regulations has become an urgent priority. This study delves into the challenges and innovative solutions to enhance tax compliance, focusing mainly on digital content creators. This study examines the challenges and solutions for improving tax compliance among digital Micro, Small, and Medium Enterprises (MSMEs) in Indonesia, mainly digital content creators. The research aims to analyze the impact of tax sanctions, modernization of tax administration, and tax policy reforms on the compliance behavior of these entities. A qualitative approach was employed, utilizing interviews and focus group discussions (FGDs) with informants selected through purposive sampling. The findings indicate that tax sanctions significantly influence compliance, but modernization of tax systems improves transparency and efficiency, thus enhancing compliance. Policy reforms, particularly those tailored to the unique needs of digital businesses, offer the flexibility needed for fulfilling tax obligations. The novelty of this research lies in the proposed model that integrates tax sanctions, administrative modernization, and policy reforms, addressing the unique characteristics of digital MSMEs. The practical implications suggest that implementing a user-friendly digital tax system, supported by clear guidelines and targeted reforms, can simplify compliance for digital MSMEs, leading to better tax reporting. These findings provide actionable insights for policymakers in designing effective, adaptive tax policies for Indonesia's rapidly growing digital economy.

The Current Situation and Optimization Path of Enterprise Supply Chain Management Construction in the Context of Digitalization

Abstract: The advancement of information technology has resulted in a rapid rise of a new phase of technical and industrial revolution, propelling the global shift from an industrial economy to a digital economy at an accelerated rate. Digital transformation has become an irreversible and pervasive tendency in contemporary society. Despite the significant growth of China's economy, the industrial supply chain is not operating at its highest efficiency. To achieve sustainable cost reduction and efficiency, enterprises need to promote digital transformation and supply chain upgrading. By doing so, enterprises can optimize resource allocation among different links in the supply chain and enhance the quality of their development. This study conducted an investigation of the value benefits, problems, and difficulties of enterprise supply chain digital transformation, using Jingdong as an example. The following article aims to provide a credible reference for organizations by discussing the successful paths and measures of digitizing the supply chain, using Jingdong's experience and activities in supply chain digital transformation as a reference.

Innovation and Development of Talent Management Model in Colleges and Universities Under the Background of Digitalization

The vigorous development of the digital economy has put forward new and higher requirements for talent training in colleges and universities. In order to cultivate outstanding talents in the new era with both interdisciplinary knowledge application ability and innovative thinking, colleges and universities must keep up with the pace of the development of the digital era, from macro to local, comprehensive innovation of talent management mode, and lead the development with innovation. Only in this way can they flexibly respond to various challenges and opportunities under the digital background, and help colleges and universities achieve the goal of long-term development. Based on the current situation of talent management in colleges and universities, this paper elaborates the feasible path of innovation and development of talent management mode in colleges and universities under the background of digitalization from the perspectives of talent training and talent service. At the same time, the exposed data security and privacy protection issues are also discussed in depth. To contribute to the realization of the goals of refinement, individuation, and intelligence of talent management in colleges and universities through the research and related exposition.

Research on the Influence of AI Technology and Optimization Strategy on the Chinese Manufacturing Enterprises about Digital Transformation

Abstract: The rapid evolution of the digital economy has fostered a favorable environment for the growth of the artificial intelligence (AI) industry, catalyzing a transformative shift across diverse sectors. AI technology is driving the digital transformation landscape, contributing to the emergence of a novel economic framework characterized by enhanced unity, fairness, and operational efficiency. Particularly in China's manufacturing domain, substantial governmental support has propelled the widespread adoption of AI, thereby facilitating significant strides towards industrial modernization. However, despite the promising trajectory, notable challenges persist. These include the scarcity of AI talent, concerns regarding data security such as leakage, and the ongoing refinement of compatibility with existing systems. Addressing these challenges necessitates a multifaceted approach. Efforts should prioritize bolstering personnel training initiatives in AI-related domains through collaborative engagements with industry, universities, and research institutes. This cooperative endeavor can nurture a skilled workforce adept at navigating the complexities of AI implementation. Moreover, stringent measures must be implemented to safeguard sensitive data, including robust encryption protocols, secure computing practices, and meticulous access controls to mitigate the risks of data breaches. Furthermore, promoting standardization processes and embracing data format conversion tools are critical steps towards enhancing interoperability across disparate systems. In conclusion, this discourse underscores the pivotal role of AI in driving the digital transformation journey of Chinese manufacturing enterprises. By addressing pertinent challenges and embracing strategic initiatives, these enterprises can fortify their resilience, navigate future complexities, and achieve sustainable development in the digital era.

Intelligent E-commerce under the Trend of Integration of Artificial Intelligence and E-commerce: A Case Study of Alibaba International Station

Abstract: China has fully entered the era of digital economy, and undoubtedly, the e-commerce industry needs to keep pace with the times and evolve into a new stage of development: integrating artificial intelligence with e-commerce. Nowadays, an abundance of new productivity tools have unveiled new opportunities for the e-commerce industry. This study focuses on Alibaba International, a premier global digital trading platform, to illustrate the applications of artificial intelligence tools in e-commerce, examine both the positive and negative impacts of these tools on e-commerce, and suggest strategies for enhancing e-commerce Operation Management. The aim is to offer enlightenments for small and medium-sized cross-border e-commerce businesses. Through this case analysis, it can be understood that intelligent e-commerce has provided many conveniences for the e-commerce industry, but also faces a series of challenges, such as AI generated false or infringing content, and increased operational management difficulties. In this situation, e-commerce companies should take strengthening the cultivation of intelligent talents as a guarantee, focusing on customer experience and valuing personalized product needs as advantages, and improving operational management efficiency through the reasonable use of favorable policies to bring profits to the enterprise.

RCEP rules on cross-border data flows: Asian characteristics and implications for developing countries

ABSTRACT Data, as an essential production factor and a fundamental strategic resource in the digital economy era, have profoundly transformed production methods, lifestyles, and social governance, becoming one of the critical factors influencing the global competitive landscape. The United States and the European Union are actively making comprehensive arrangements around data flow issues, integrating their interests and values into data governance rules to influence other countries. Against the backdrop of increasingly intense global rule-making competition in digital trade, the Regional Comprehensive Economic Partnership (RCEP), led by the Association of Southeast Asian Nations (ASEAN) and actively promoted by China, covering 15 countries in the Asia-Pacific region, is sending a strong and powerful Asian voice regarding cross-border data flow rules. This article attempts to highlight the Asian characteristics of the data cross-border flow rules within RCEP through a horizontal comparison of regional trade agreements. These characteristics primarily include the principle of free cross-border data flow; fully protecting the host country’s national security through exceptional clauses; relatively lenient regulation of personal information protection; and adhering to the principle of non-reciprocity to respect and embrace countries at different development levels. Consequently, it is concluded that RCEP has constructed an Asian paradigm for cross-border flow of data that matches the development status of the Asia-Pacific countries and is worthy of emulation by other developing nations.

Digital Economy as a Buffer: Alleviating the Adverse Effects of Land Resource Mismatch on Food Security

Digital Economy as a Buffer: Alleviating the Adverse Effects of Land Resource Mismatch on Food Security

Strong financial regulation and enterprise digital innovation: promoting or inhibiting?

ABSTRACT Modern financial regulatory systems are vital in bridging the gap between digital and real economies. In this context, enterprises have the opportunity to achieve digital innovation transformation. This study examines the causal relationship between strong financial regulation and enterprise digital innovation using a quasi-natural experiment, focusing on the ‘Guiding Opinions on Regulating the Asset Management Business of Financial Institutions’ (NAMR). We observed a significant improvement in enterprises’ level of digital innovation after the NAMR implementation. Channel analysis confirms the micro-mechanisms of strong financial regulation, eased corporate financing constraints, increased R&D investment, and digital innovation. Furthermore, digital innovation driven by strong financial regulation can significantly improve corporate profitability. We also found that the positive effect of strong financial regulation on enterprise digital innovation is particularly significant in non-state-owned enterprises, highly competitive industries, and regions with high financial development levels. This study expands the understanding of how strong financial regulation affects enterprises’ digital innovation, with practical significance for understanding the relationship between financial regulation, corporate financial investment, and innovation decision-making.

Occupational Safety and Health of Riders Working for Digital Food Delivery Platforms in the City of Milan, Italy.

The rapid growth of the digital economy has transformed various labor markets, including the food sector. The transient nature and the peculiar work environments of food delivery workers raise concerns about occupational safety and health (OSH). This study aims to better understand these issues by conducting a comprehensive exploratory survey on OSH among food delivery riders in Milan, Italy. The study employed structured interviews based on a validated questionnaire developed through a literature review, expert interviews, and input from riders and health and safety professionals. The survey was performed from July to November 2022 by interviewing riders at their main gathering points. We interviewed 240 riders, 97% males, 81% less than 35 years old, and 83% with extra-European origin. Delivery was performed mainly by traditional bicycles (40%) and e-bikes (46%), with 44% working seven days per week and 23% working more than 8 hours daily. Road accidents were reported by 39% of riders, influenced by type of vehicle, fatigue, and number of daily deliveries. Physical and verbal assaults (12% and 28%, respectively) were reported, as well as health-related issues, particularly musculoskeletal disorders. The findings underscore food delivery riders' complex challenges, emphasizing the need for targeted interventions. The study calls for collaborative efforts between policymakers, employers, OSH professionals, and stakeholders to enhance OSH standards and promote decent working conditions, aligning with the 2030 Agenda for Sustainable Development.

Impact of the Digital Economy on the Green Economy: Evidence from China

Impact of the Digital Economy on the Green Economy: Evidence from China

Research on the Impact of the Digital Transformation of Commercial Banks

The development of the digital economy has presented both opportunities and challenges for the transformation of commercial banks. This article aims to conduct a literature review on the impact of digital transformation on commercial banks and to explore the multi-dimensional effects it brings. Through a review and analysis of relevant domestic and international literature, this paper first defines the connotation of digital transformation in commercial banks. It then conducts a literature analysis and research on the strategic governance, business performance, and risk management aspects of the digital transformation of commercial banks from multiple perspectives. Based on the analysis of the existing literature, the paper explores directions for future in-depth research and offers corresponding policy suggestions, providing a theoretical and practical foundation for the future digital development of commercial banks.

Research on the Influence of Digital Economy on the Income Gap between Urban and Rural Areas in China

In recent years, with the rapid advancement of information technology and the widespread proliferation of the Internet, digital technology has been reshaping the value chains of traditional industries and giving rise to entirely new business models and industrial forms. Technologies such as the Internet, big data, and artificial intelligence are being applied across various sectors, while new formats like e-commerce, the sharing economy, and online education are flourishing. These developments have driven new consumption patterns and employment methods. The rapid rise of the digital economy not only boosts production efficiency and economic growth but also influences the income distribution between urban and rural areas to some extent. This paper begins by examining the current state and characteristics of the digital economy and then analyzes its impact on the urban-rural income gap. Additionally, it offers countermeasures and recommendations for narrowing this gap, providing theoretical support for promoting common prosperity.

Digital Economy Oriented Tourism Industry Data Analysis in Semantic IoT

ABSTRACTThe digital economy has revolutionized the tourism industry by integrating Semantic Internet of Things (IoT) technologies for enhanced data analysis. This paper proposes a comprehensive method for analyzing tourism flow using Semantic IoT. The method combines semantic data processing with advanced machine learning techniques, specifically stacked autoencoders and long short‐term memory (LSTM) models, to understand and predict changes in passenger flow. The approach addresses challenges of high dimensionality and complex temporal characteristics in tourism data, offering significant support for tourism management, improving operational efficiency, and enhancing the visitor experience. Experimental results demonstrate the effectiveness of the proposed method in analyzing and predicting tourism passenger flow data, providing accurate and insightful trends that are crucial for decision‐making in the tourism industry.

Empirical study on the psychological mechanism of consumers in the context of live streaming seafood sales: evidence from China

The advent of the 5G era signifies China’s official entry into the digital economy. This technological shift has attracted countless merchants to the market via e-commerce platforms, seeking to capitalize on new opportunities. Concurrently, it offers a novel avenue for expanding seafood sales channels in China. The interactive and intuitive nature of e-commerce live streaming has subtly but significantly influenced and shaped consumers’ purchasing behaviors. In light of this, this study, based on 330 valid survey responses and grounded in the theories of perceived value and consumer trust, explores the psychological mechanisms affecting consumers in the context of e-commerce live streaming for aquatic products. The findings reveal that: (1) Consumer trust positively impacts purchase intention in the context of live-streamed seafood e-commerce. (2) Perceived entertainment value positively influences consumer purchase intention. (3) Perceived utilitarian value also positively influences consumer purchase intention. This paper contributes theoretically by broadening the application of perceived value theory and enhancing the understanding of consumer behavior concerning seafood. Additionally, it may offer practical insights into the expansion of seafood sales channels and market scale in other countries and regions.

An Analysis of Digital Finance in Promoting the Development of New Quality Productivity

As a product of the deep integration of financial technology and the digital economy, digital finance plays a significant role in promoting the development of new quality productivity. This paper first elaborates on the connotations of new quality productivity and digital finance and analyzes the mechanisms by which digital finance promotes the development of new quality productivity from both theoretical and practical perspectives. The aim is to explore the value digital finance brings to the development of new quality productivity, along with the challenges it faces, in order to propose corresponding policy recommendations.

A Supervised Ml Algorithm for Detecting and Predicting Fraud Credit Card Transactions

A Credit card fraud presents an escalating threat in today's digital economy, leading to significant financial losses for consumers, businesses, and financial institutions. Traditional detection methods are increasingly inadequate due to the rise in online transactions and the evolving complexity of fraudulent activities. This research aims to create a reliable supervised machine learning model designed to detect and predict fraudulent credit card transactions in real-time. Our approach leverages advanced algorithms and extensive datasets to enhance transaction security, thereby mitigating financial risks. Current systems, like FICO's Fraud Detection System (FDS), utilize a range of supervised learning techniques, including Decision Trees, Random Forests, and Neural Networks. However, they face limitations, including data quality issues, high false positive rates, and the need for continuous retraining to adapt to evolving fraud patterns. To address these challenges, we propose an innovative anomaly detection method based on the Isolation Forest algorithm. Unlike traditional methods that rely on distance and density measures, Isolation Forests isolate anomalies by randomly selecting features and split values, making it more efficient in identifying fraudulent transactions, especially in imbalanced datasets. The proposed system boasts low linear time complexity and minimal memory requirements, enabling the construction of high-performing models even with large datasets. The research demonstrates that the Isolation Forest approach significantly outperforms traditional models in detecting credit card fraud, offering a promising solution for enhancing security in the financial ecosystem.

The Problems and Solutions of Enterprise Financial Management in the Perspective of Digital Economy

From the perspective of the digital economy, enterprise financial management is facing unprecedented challenges and opportunities. Traditional financial management models are no longer suited to current development needs. Fine-tuning financial management is essential to support the modernization of enterprises, guard against operational risks, and promote coordination across the entire value chain for greater economic efficiency. With the help of digital technology, data-driven, highly interconnected, and intelligent decision-making processes are becoming more prominent, profoundly transforming the operational and financial management models of enterprises. This enables financial management to keep pace with modern developments. In light of this, the paper explores the connotations and mechanisms of the digital economy and enterprise financial management, clarifies relevant conceptual characteristics, and identifies problems in financial management under the digital economy. It also offers strategies for optimization and problem-solving, with the aim of providing valuable insights for educators and practitioners.

Measurement of development level of digital transformation of banks in Northwest China

Abstract. In the current era, the digital economy has become an important opportunity for commercial banks. In order to keep up with the pace of The Times, build a solid foundation of science and technology finance, and promote the economic development of the Northwest region, this paper adopts the analytic hierarchy process and fuzzy comprehensive evaluation method to explore the influential factors of the digital transformation of banks in the Northwest region. The analysis shows that net capital, operating income and loan-to-deposit ratio have the greatest impact on the digital transformation of banks. In terms of digital transformation of banks in Northwest China, Shaanxi Province and Gansu Province have a better development level, Qinghai Province and Ningxia Hui Autonomous Region are relatively average, and Xinjiang Uygur Autonomous Region Province is relatively backward. Based on this, the paper puts forward suggestions to improve the level of capital management, optimize the structure of deposits and loans, and promote income diversification.

Этические проблемы и риски формирования цифровой модели современного университета

The relevance of the study lies in the fact that the digital transformation of higher education, being a strategic national direction, envisages universities achieving digital maturity, including through the creation of a digital model that meets the needs of modern society and the digital economy. However, the process of forming a digital university reveals numerous ethical problems, which may lead to ambiguous consequences for both educational institutions and higher education as a whole. This paper examines the concept of a “digital university” and its content, providing an author’s definition and identifying the main elements that form a unified digital educational environment. The advantages of the digital university in comparison to the traditional university are highlighted, and the importance of forming a digital model of the university is determined. Furthermore, the ethical problems that arise during the digitalization of key elements of the digital university are identified and analyzed. The risks associated with the process of forming the digital model of the modern university are indicated, and recommendations for their prevention are provided. Conclusion dwells upon the fact that the digital university model presents a dilemma that can be resolved by developing effective approaches to its creation, with a focus on ethically justified decisions in the use of digital technologies in the educational process. Recognizing the role of traditional university ethics in the digital educational environment, promoting the development of humanities knowledge, and codifying digital scientific and educational activities are essential steps in this direction.