Journal of Economics and Management Sciences

Grey Bass Model Based on Weakening Buffer Operator and its Application in New Energy Vehicle Sales Forecast

Huang Ying — 2025-03-04

With the enhancement of global environmental awareness and the promotion of technological innovation, the new energy vehicle market has shown a rapid growth trend. However, due to the complexity and variability of the new energy vehicle market, accurately forecasting its sales has become a challenge. In this paper, a grey Bass model based on the weakening buffer operator is proposed for the prediction of NEV sales. This model combines the advantages of the grey system theory and Bass diffusion model, and preprocesses the data through the weakening buffer operator, which improves the accuracy of the prediction. This paper first introduces the basic principle of the grey system theory and Bass diffusion model, then elaborates the construction method of the grey Bass model based on the weakening buffer operator, and verifies the effectiveness of the model through an example. The research results show that the model can better predict the sales volume of new energy vehicles, and provide a scientific basis for the decision of related enterprises.

Research on the High-Quality Development of Foreign Trade Under the Trend of AI Innovation

Huang Siyu — 2025-03-06

This paper takes the innovative trend of artificial intelligence (AI) technology as a starting point to explore its profound impact on the high-quality development of foreign trade. The article first clarifies the connotation and evaluation indicators of high-quality foreign trade development, and then reviews the global development dynamics of AI technology and its core application scenarios. Based on technology-driven theory, diffusion of innovations theory, and value chain reconfiguration theory, a theoretical framework for the integration of AI and foreign trade is constructed. The paper analyzes the empowering effects in key areas such as intelligent supply chain management, optimization of cross-border e-commerce platforms, and precision marketing, while also addressing potential risks such as data security and privacy protection. Building on theoretical review and conceptual exploration, the paper proposes a development model driven by AI to promote the transformation and upgrading of foreign trade, and provides strategic recommendations for governments and enterprises in policy formulation and implementation pathways. The aim is to offer both theoretical support and practical guidance for the high-quality development of foreign trade in the digital economy era.

A New Mean-Risk Quality Portfolio Optimization Model

Yueqiu Gao — 2025-03-06

This paper introduces a new mean-risk quality portfolio optimization model, grounded in uncertainty theory. It assumes that the return of assets is an uncertain variable and utilizes data estimated by experts to test the model. The approach begins by using the expected value of return and risk quality to represent the return and risk of the portfolio respectively. A new risk measure, termed “risk quality,” is introduced, leading to the establishment of the mean-risk quality portfolio optimization model. Next, to more closely align with real financial markets, the paper integrates constraints reflecting realistic financial market characteristics. These include transaction costs, financing constraints, and threshold constraints. By doing so, it establishes a mean-risk quality model with minimized risk, providing a more robust portfolio optimization framework. Finally, both the basic mean-risk-quality model and the version incorporating realistic constraints are empirically analyzed using genetic algorithms. Sensitivity tests are conducted on the robust portfolio model with minimized risk to further validate its effectiveness.

A Study on the Path to Improving International Students' Satisfaction with Purchasing Korean Cultural and Creative Products

Ruijun Hu — 2025-03-07

This paper aims to explore the path to improve international students' satisfaction with the purchase of Korean cultural and creative products. The study starts from product quality, purchase intention, purchase convenience, price perception and other aspects, and proposes a series of hypotheses to understand how each factor directly or indirectly affects the overall satisfaction of international students. By analyzing the consumption behavior of cultural and creative products among Korean international students, it is found that product quality, purchase intention, purchase convenience and price perception have a significant positive impact on overall satisfaction, among which purchase intention plays a mediating role, especially between product quality and satisfaction, and purchase convenience and satisfaction. By improving the product's innovative design, cultural value delivery, optimizing the shopping experience and reasonable pricing, the satisfaction of Korean students with Korean cultural and creative products can be effectively improved.

The Impact of the Carbon Border Adjustment Mechanism (CBAM) on China's New Energy Vehicle Exports to the European Union

Wang Ziyue — 2025-03-18

With the increasingly strong call for energy conservation and emission reduction on the international stage, countries and regions such as the United States, the European Union, and Japan have begun to prepare for legislation on the collection of carbon tariffs. To address climate change, the European Commission has also proposed a series of proposals. The CBAM will open up another important track for global efforts to combat climate change. The product categories initially included in the CBAM's collection scope have been revised several times during the legislative process and have finally been determined to be cement, electricity, fertilizers, steel, aluminum, and chemical products (hydrogen). The automotive industry, including new energy vehicles, power batteries, auto parts, automotive metal raw materials, and the hydrogen fuel cell vehicle industry chain, will all be affected. As a key component of new energy vehicles, the carbon emissions during the manufacturing stage of power batteries typically account for about 30% of the total emissions of new energy vehicles, which will bring new export challenges to China's automotive industry enterprises. This paper uses the input-output method to calculate the embodied carbon emissions of new energy vehicle exports based on the input-output table and export data of automotive products, providing data support for calculating the carbon tariff rate imposed on China's new energy vehicle products. Subsequently, this paper analyzes the impact of the CBAM on the export volume, market price, and social welfare of China's automotive products from both theoretical and empirical perspectives. Finally, in the face of the challenges posed by the EU carbon tariff to China's new energy vehicle industry, several forward-looking measures are proposed from two levels: the government and the automotive enterprises.

The Impact of "Technology-Organization-Environment" Factors on the Digital Transformation of Retail Enterprises

Yunuo Wang — 2025-03-18

Based on the framework of "Technology-Organization-Environment", using the fuzzy set qualitative comparative analysis method, we take A-share listed retail enterprises as the research object, and explore the influence mechanism of the seven antecedents, namely, digital resource infrastructure, digital human resources, innovation capacity, absorption capacity, adaptive capacity, digital economy policy and marketization process, on the digital transformation of enterprises. digital transformation. The study finds that there are five types of groupings in high-level digital transformation, which can be categorized into four types: learning and transformation with technological-environmental synergy, coordinated pioneering with technological-organizational-environmental linkage, environment-led passive change, and technology-supported self-driven change. The study shows that digital resource infrastructure has a general driving effect on digital transformation of retail enterprises, and to a certain extent, it can substitute for innovative and adaptive capabilities; digital economy policy, as a key environmental element, is the main force driving the transformation. In addition, firms that fail to achieve a high level of digital transformation generally lack digital resource infrastructure, innovation capacity, digital economy policies and marketization processes.

Research on the Financial Performance of Digital Transformation of Physical Retailers: An Exploratory Case Study Based on Tianhong Shares

Hang Sun — 2025-03-21

With the advent of the digital wave, the transformation and upgrading of physical retailers has become an urgent need, and the impact of digital transformation on enterprise performance is also increasing. Faced with the impact of digitization, Tianhong Co., Ltd., as a typical representative of digital transformation for physical retailers in China, has been exploring the path of digital transformation since 2010 to adapt to the development of the digital age. This article conducts an in-depth analysis of the driving forces and paths behind Tianhong Corporation's digital transformation, and explores the impact of digital transformation on the financial performance of physical retailers from three levels: cost efficiency, profitability, and operational capability. The research results indicate that digital transformation can help reduce business operating costs and improve profitability, but the effect on enhancing operational capabilities is not significant. The article further elaborates that digital transformation can affect enterprise performance through smart retail, optimizing supply chains, and enhancing "resource integration" capabilities. Corresponding suggestions are proposed to expand traditional sales channels, introduce digital talents, and build a suitable supply chain system. These provide useful references for physical retailers to achieve sustainable development in the process of digital transformation.

Research on the Impact of Fintech on Green Innovation of Enterprises

Zhiyu Lin — 2025-03-24

The study constructed regional fintech development level indicators based on the Baidu search index of fintech keywords in each province, and conducted an empirical analysis using relevant data of A-share listed companies from 2012 to 2021. It is found that the development of fintech significantly promotes corporate green innovation. This finding remains robust after changing the sample interval and the measurement regression, verifying the important role of fintech in promoting corporate green innovation. Meanwhile, the heterogeneity analysis finds that FinTech plays a more significant role in promoting corporate green innovation in the eastern region. Its development not only brings new opportunities for the financial industry in the east, but also provides a steady stream of innovation vitality for the real economy in the east. Continuously promoting the development of fintech and reshaping the ecological pattern of the financial industry is of great significance in stimulating the innovation vitality of the real economy and promoting the construction of an innovative country.

Digitalization of Industrial Chains: Research on Innovative Pathways for Rural Industry Integration and Rural Revitalization

Songqin Ye — 2025-04-02

In the context of the digital economy driving China's high-quality development, the digital transformation of rural industries is of great significance for coordinated urban-rural development and rural revitalization. Various regions have actively implemented the "High-Quality Development Project for Hundreds of Counties, Thousands of Towns, and Tens of Thousands of Villages," achieving initial successes in the integration of agriculture, culture, and tourism industries as well as in rural revitalization. By constructing diversified industrial systems and establishing industrial alliances, some regions have seen significant investments in multiple agricultural and cultural tourism projects from January to October 2024, creating distinctive brands and promoting a number of enterprises to scale up and integrate into the statistical system, thereby enhancing industrial scale and standardization. However, rural digital development still faces challenges such as insufficient elements for industrial integration, lagging digital infrastructure, and inadequate empowerment of digital inclusive finance. To address these issues, local governments have built digital financial sharing platforms by improving residents' digital literacy, strengthening the integration of digital assets and finance, and fostering cooperation among financial entities, thereby supporting the digital development of rural industries. This paper analyzes the development status, mechanisms, problems, and solutions in some regions, aiming to provide references for other areas to promote rural revitalization and common prosperity.

Research on the Impact of Algorithmic Management on Employee Work Behavior in Platform Enterprises

Zhang Xianghan — 2025-04-03

This paper, set against the backdrop of platform enterprises, examines the impact of algorithmic management on employee work behavior. Through a literature review and theoretical construction, the study first defines the core concepts of platform enterprises, algorithmic management, and employee work behavior, while outlining related theoretical foundations such as institutional theory, the technology acceptance model, and social exchange theory. Based on this, a conceptual model is developed that describes how algorithmic management influences employee behavior through mediating variables such as trust, sense of control, and performance incentives. The research suggests that while algorithmic management enhances work efficiency and enables personalized incentives, it may also trigger issues such as excessive monitoring, privacy infringements, and a decline in employee autonomy. Finally, the paper discusses how platform enterprises should balance technological applications with humanistic care in practice, offering theoretical insights and references for future empirical research.