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 — Tue, 04 Mar 2025 00:00:00 +0800

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 — Thu, 06 Mar 2025 00:00:00 +0800

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 — Thu, 06 Mar 2025 00:00:00 +0800

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, UK-Sang Han — Fri, 07 Mar 2025 00:00:00 +0800

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 — Tue, 18 Mar 2025 00:00:00 +0800

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, Ning Ding — Tue, 18 Mar 2025 00:00:00 +0800

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, Qinkun Zhu — Fri, 21 Mar 2025 00:00:00 +0800

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 — Mon, 24 Mar 2025 00:00:00 +0800

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, Hui Jiang — Wed, 02 Apr 2025 00:00:00 +0800

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, Li Zhengwei — Thu, 03 Apr 2025 00:00:00 +0800

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.

The Research on the Growth Pathways and Mechanisms of Tourism Economy Under Cultural-Tourism Integration: A Case Study of the 'Concert + Tourism' Model

Jiayi Zeng, Xingyi Chen, Yongqing Chen, Chenyue Zhou, Yan Zhong — Sat, 05 Apr 2025 00:00:00 +0800

The report of the 20th CPC National Congress proposes to "improve the modern cultural industry system and market system, and implement the strategy of driving major cultural industry projects. Insist on shaping tourism with culture and highlighting culture with tourism, and promote the deep integration and development of culture and tourism". The article study is guided by the theory of planned behavior , with three concerts and six attractions in Guangzhou, Foshan and Zhuhai as the sample collection sites.

The data in this article was analyzed using a combination of Python crawlers and structural equations: firstly, 1,880 blog posts about "concert tourism" and "performance tourism" were crawled from the microblogging platform using Python crawlers. In order to further analyze the growth mechanism of the " concert + tourism " economy, a structural equation model was constructed.

Based on the conclusions of the study, the article puts forward the following recommendations: strengthening resource integration, upgrading service facilities, enhancing publicity and promotion, promoting sustainable development, and deepening academic research. These strategies will help to better understand and utilise the "concert + tourism" model to achieve sustainable growth of the tourism economy and wide dissemination of local culture.

Gradient Boosting Decision Tree for House Price Prediction with Google Trends

Faye F.F. Jiang — Sat, 05 Apr 2025 00:00:00 +0800

Predicting house price accurately can reflect the popularity of the housing market and help making decisions for investors and policymakers. Statistics of macro factors are commonly used for house price forecasting; however, macro factors obtained from government reports have defect of time lag and may impair the prediction performance. Google Trends data can serve as a leading sentiment indicator of people’s attitudes and expectations toward the housing market and help improve house price prediction. Therefore, this study proposes a new methodology framework for house price prediction with Google Trends data. Recursive Feature Elimination (RFE), a feature selection method, is utilized to remove noisy data and improve feature quality. Gradient Boosting Decision Tree (GBDT) is adopted to establish models for house price forecasting. Real estate-related Google Trends data, along with the fundamental house price index (HPI) data are collected to predict the growth rate of HPI in the United States. Results show that RFE can effectively remove irrelevant features and improve the model performance. GBDT has higher and more stable prediction accuracy than other prediction models, especially when the predicted time span is long. Compared with models including fundamental HPI data only, models containing Google Trends data can exhibit higher and more stable prediction accuracy for long time span forecasting. Three categories of Google Trends indices, including “house rent”, “housing market & real estate market”, and “mortgage & real estate agency” are found to be the most important indicators of the variation of HPI growth rate.

Research on the Influence of Digital Inclusive Finance on New Agricultural Productivity

Guo Hong, Fan Bo — Fri, 11 Apr 2025 00:00:00 +0800

With the deep integration of digital technology and financial services, digital inclusive finance is constantly showing its unique advantages-inclusiveness and efficiency. This study is devoted to revealing how digital inclusive finance has injected a steady stream of powerful forces into the new agricultural productivity while promoting the development of the new agricultural productivity, and also contributed to the agricultural reform. Based on the panel data of 30 provinces (autonomous regions and municipalities) in China from 2011 to 2022, this paper empirically tests the effect of digital inclusive finance on new agricultural productivity and its internal mechanism through two-way fixed effect model and intermediary effect model. The results show that digital inclusive finance can significantly improve the development of new agricultural productivity, and this conclusion is still valid after a series of robustness tests; The mechanism analysis shows that digital inclusive finance promotes the development level of new agricultural productivity through the high polarization of industrial structure; Heterogeneity analysis shows that the promotion effect of digital inclusive finance on new agricultural productivity is more significant in the southeast area of "Hu Huanyong Line" and high economic development areas; Accordingly, it is suggested to promote the deep integration of digital inclusiveness and agriculture in all directions, further optimize the allocation of rural industrial structure, and fully stimulate the potential energy of digital inclusive finance in rural areas. At the same time, implement the policy of regional differentiation, strengthen the regional balance of digital inclusive finance, and make full use of the "digital dividend" brought by digital inclusive finance to promote the development of new agricultural productivity.

A Vehicle Routing Problem for Multi-depot Collaborative Delivery Considering Common and Neighboring Customers

Yanbing Gao — Sun, 13 Apr 2025 00:00:00 +0800

Facing the challenges of delivery cost, efficiency, and security in modern logistics systems, this study investigates a realistic scenario where multiple logistics companies jointly serve a common customer base, and customers' parcels can be picked up by their neighboring customers. By integrating mobile lockers and drones into the delivery process, we propose a multi-depot collaborative delivery vehicle routing problem with common and neighboring customers, and formulate a corresponding mixed-integer programming model. To solve the problem efficiently, a hybrid heuristic algorithm combining Adaptive Large Neighborhood Search and Tabu Search is developed. Numerical experiments demonstrate that collaboration among depots based on common and neighboring customers offers significant advantages: It not only reduces delivery costs but also improves the utilization efficiency of mobile lockers and reduces the required number of lockers. Moreover, the greater the number of depots participating in collaborative delivery, the more pronounced the benefits.

Scientific Econometric Analysis of Cultural Heritage Digitization in the Past Five Years: Based on CiteSpace, VOSviewer, and SciMAT

Wang Xiaoyu, Di Ye, Qian Jiang — Sun, 13 Apr 2025 00:00:00 +0800

This article aims to systematically review and analyze the research laws, key technological elements, and cutting-edge development trends in the field of digitalization of cultural heritage, laying a theoretical foundation for future research plans and providing reference for promoting further development in this field. Using bibliometrics and CiteSpace, VOSviewer, and SciMAT software based on the Web of Science database, a qualitative and quantitative analysis was conducted on the digital literature knowledge graph of cultural heritage from 2020 to 2024. The results obtained econometric maps from macro to micro perspectives, combined with background information, current trends, and knowledge structure analysis of spatiotemporal, co word, clustering, theme evolution, and other charts, exploring the evolution of this field from various angles. The digitization of cultural heritage has gradually developed from the initial stage to a new stage of global cooperation and policy application. The characteristic of this transitional process is that the research focus gradually shifts from the attention to culture itself to the application of technological means, and ultimately expands to the display and dissemination of cultural heritage. This article also summarizes several development trends in this field, including integration, proceduralization, technologicalization, standardization, intelligence, etc., while also exploring the current limiting factors.

Exploring the Pricing Strategy of Insurance in China Based on the TOPSIS Method

Yangchen Sun — Wed, 16 Apr 2025 00:00:00 +0800

This paper is based on the panel data of extreme weather in China from 2000 to 2023. Firstly, the TOPSIS method is adopted to determine the weights of various indicators affecting the underwriting of insurance companies and establish a risk assessment system. Secondly, the break-even method is used to formulate the premium pricing strategy, and sensitivity analysis is conducted to test the sensitivity of each indicator. Further analysis is carried out to determine when and where the insurance company's underwriting risk is the lowest and the return is the highest. Finally, from the perspective of developers, the model is optimized. Based on the exploration of the influencing factors of building disaster resistance, the disaster resistance coefficient of disaster-resistant buildings is considered to establish a community disaster resistance capacity system model. Developers can determine whether to develop based on the local disaster resistance capacity indicators and the disaster resistance coefficient of disaster-resistant buildings.

The Level of Agricultural Mechanization, the Scale of Agricultural Operation and the Income Gap Between Urban and Rural Areas

Tan Ting, Chen Jiusheng — Fri, 18 Apr 2025 00:00:00 +0800

Agricultural mechanization is an effective way to improve farmers' income, and increasing farmers' income is the key means to narrow the income gap between urban and rural areas, and narrowing the income gap between urban and rural areas is one of the key factors to realize the integrated development of urban and rural areas. Based on the relevant statistical data of China from 2010 to 2020, a two-way fixed effect model was established to analyze the impact of agricultural machinery intervention on the income gap between urban and rural areas. The results show that the improvement of agricultural mechanization level has a significant positive impact on the convergence of urban-rural income gap. Its mechanism of action is to promote the increase of farmers' income and narrow the income gap between urban and rural areas, mainly through two paths: obtaining economies of scale through large-scale agricultural operation and providing agricultural machinery social services to improve operating income. Heterogeneity analysis showed that the improvement of agricultural mechanization level had a more significant effect on the convergence of urban-rural income gap in eastern China and non-main grain producing areas. Finally, it is suggested to develop mechanized agriculture according to local conditions, give diversified policy support to farmers to purchase agricultural machinery, improve the construction of socialized service system of agricultural machinery, ensure that land use rights can be transferred in an orderly manner, and further improve the relevant systems to support the development of large-scale agricultural operation.