Economics and Public Policy ISSN Print: 3104-4387 ISSN Online: 3104-4395 CD ISSN: 3104-4409
Designing Low-Effort, High-Value Service Journeys in Chinese Swimming and Fitness Centers
Customer dissatisfaction in swimming and fitness centers is often shaped not only by visible service failures but also by the cumulative friction embedded in the service journey. This paper examines how low-effort service design can strengthen perceived value in Chinese swimming and fitness centers. It conceptualizes customer effort as a hidden service cost expressed through process complexity, time pressure, information ambiguity, and psychological unease, and argues that these burdens accumulate across acquisition, entry, use, change, and after-sales rather than at a single service encounter. Drawing on the service quality–value–satisfaction tradition and recent research on service convenience, customer effort, and multidimensional perceived value, the paper develops a journey-based explanation of how friction reduction becomes value creation. It shows that when unnecessary effort is reduced, customers are better able to achieve their functional goals, judge the service as economically worthwhile, experience greater emotional comfort, and perceive lower behavioral cost in terms of time, hassle, and uncertainty. In this sense, low-effort design is not treated as a minor convenience feature, but as a central mechanism through which customers come to regard the service as worth the price, the time, and the trouble. The paper further proposes a managerial framework for designing low-effort, high-value journeys in high-contact sport services. It emphasizes process simplification, better waiting and time management, clearer and more consistent information, predictable service recovery, and stronger perceptions of fairness, reassurance, and trust across touchpoints. By repositioning customer effort as a service design issue and linking effort reduction explicitly to multidimensional perceived value, the paper contributes a more analytically grounded account of how contemporary swimming and fitness centers can improve customer experience through journey redesign rather than through isolated service enhancements alone.
Copyright (c) 2026 by author(s) and Erytis Publishing Limited. https://creativecommons.org/licenses/by-sa/4.0
Chinese Experience in Accounting Talent Cultivation in the Digital Intelligence Era: Transformation Pathways and Model Innovation
The deep integration of digital intelligence technologies is driving fundamental changes in the accounting profession, posing serious challenges to traditional accounting talent cultivation models. This paper aims to systematically elucidate China’s experience in accounting talent cultivation in addressing this global issue, revealing the inherent logic of its transformation pathways and model innovations. Employing a combination of policy text analysis and case induction, the study systematically examines the synergistic evolution mechanism among top-level national design, institutional teaching reforms, and industry-education integration at the societal level. The research indicates that China has achieved an ecological transformation of accounting talent cultivation by constructing a systematic framework characterized by "policy guidance, institution-led efforts, and industry collaboration." At the national level, forward-looking strategic planning and standard system development establish the direction and quality benchmarks for transformation. At the institutional level, competency-oriented curriculum restructuring and virtual-real integrated teaching innovations facilitate systematic reshaping of the cultivation process. At the societal level, deepening industry-education integration and regional collaboration effectively consolidate high-quality resources. This multi-level, collaboratively advanced "Chinese experience" offers important references for the global transformation of accounting education and lays a solid talent foundation for Chinese-style modernization.
A Comprehensive Review of Research on Short-Form Video Consumption Behavior
This review comprehensively examines the evolution, underlying drivers, and critical challenges associated with short-form video consumption behavior. It analyzes the industry's rapid ascent from a peripheral entertainment format to a dominant mainstream content genre. The research indicates that the short-form drama (micro-drama) sector is undergoing a profound structural transformation, moving from a "traffic monetization" paradigm towards a "content payment" model. The traditional "internet celebrity + live-streaming e-commerce" model is showing signs of decline as it struggles to sustain the production of high-quality, premium content. Consequently, paid models have become a crucial lever for platforms to activate and monetize their core user base. Nevertheless, the industry grapples with persistent challenges, including low user willingness to pay and the contradiction between high viewer retention and low financial conversion rates. From a theoretical perspective, the analysis of consumption behavior has evolved significantly. The initial "Rational Acceptance" model has been superseded by the "Uses and Gratifications" theory, which in turn is giving way to the "Experience Economy" framework. This evolution underscores the pivotal roles of emotional resonance and instant gratification in driving users' payment decisions, positioning immersive experience as a central economic value.
The Impact of the Compensation Gap between Executives and Employees in Listed Manufacturing Enterprises on Operating Performance: Based on the Mediating Effect of R&D Investment
The widening pay gap between senior executives and rank-and-file employees in manufacturing firms has drawn widespread public attention. Based on a sample of China's A-share manufacturing listed enterprises from 2018 to 2023, this study first employs stepwise regression to examine the impact of executive-employee pay gap on corporate operating performance. Furthermore, it constructs a mediating effect model to explore the relationships among executive-employee pay gap, R&D investment, and corporate operating performance, and verifies the mediating role of R&D investment. The findings indicate that: (1) Executive-employee pay gap positively promotes the improvement of corporate operating performance; (2) The gap also boosts R&D investment in manufacturing firms; (3) R&D investment plays a partial mediating role in the effect of executive-employee pay gap on corporate operating performance. Finally, the study puts forward policy recommendations, including formulating reasonable pay gap policies, establishing fair and transparent salary communication mechanisms, and increasing R&D investment.
A Study on Initial Carbon Emission Quota Allocation Schemes in the Yangtze River Delta Region
Global climate change has become a pressing global challenge, and the scientific allocation of carbon emission rights is crucial for achieving regional emission reduction targets and promoting low-carbon transformation. As a core region of my country's economic development, the Yangtze River Delta region accounts for a high proportion of the country's total carbon emissions. The three provinces and one municipality of Shanghai, Jiangsu, Zhejiang, and Anhui exhibit significant differences in economic development levels, industrial structures, and carbon emission intensity. These differences reflect regional development imbalances and pose practical difficulties for the fair and efficient allocation of carbon emission rights. This paper takes the three provinces and one municipality of the Yangtze River Delta as the research object, and, focusing on the 2030 carbon peak target, designs and analyzes three initial carbon emission quota allocation schemes: fairness-oriented, efficiency-oriented, and a hybrid scheme balancing fairness and efficiency. By comparing the implementation effects of each scheme, its advantages and disadvantages are identified, providing theoretical support and practical reference for the construction of the carbon market in the Yangtze River Delta region, and also offering a reference for carbon quota allocation in other regions of China.
Study on the Projection of Net Carbon Emissions in Anhui Province Based on Ensemble Forecasting
To achieve precise planning for Anhui Province’s carbon neutrality pathway, this paper constructs a combined forecasting model using Grey Model (GM (1,1)), exponential smoothing, and ARIMA time series, and aggregates the forecasting results using the inverse of the Mean Absolute Percentage Error (MAPE). Empirical results indicate that the combined forecasting model reduced the average MAPE to 2.49% for the 2005-2022 forecast period, representing a decrease of 4.05%, 1.56%, and 0.58% compared to the average MAPEs of the grey system, exponential smoothing, and ARIMA time series models, respectively, outperforming all three individual forecasting models. The ensemble forecast results for 2023-2027 indicate that Anhui Province’s net carbon emissions will increase from 532.99 million tons to 554.99 million tons, with an average annual growth rate of 1.41%. Although the growth rate shows a declining trend, the absolute increase still reaches 22 million tons, suggesting that the current development trajectory is closer to a high-carbon model and highlighting the challenges of achieving the carbon peak target. This paper provides a decision-making benchmark with controllable error margins for regional carbon neutrality pathways, confirming the paradigmatic value of ensemble forecasting in mitigating the extreme risks associated with single-model predictions. Additionally, it proposes a dynamic weighting update mechanism, coordinated emission reductions across the industrial, energy, and building sectors, and a carbon offset system for northern and southern Anhui, thereby offering a data-driven decision-making framework for Anhui Province’s carbon peaking by 2030.
Research on Tiktok Usage among Visually Impaired Groups: Media Empowerment and Social Integration
Against the backdrop of digitalization, short-video platforms like Tictok have become a vital channel for the visually impaired to participate in society, yet this group still faces multiple digital barriers. This study explores the Tictok usage of the visually impaired in China based on the media empowerment theory, focusing on the mechanisms of media empowerment and social integration, as well as the practical dilemmas they encounter. It synthesizes existing empirical and theoretical research findings to analyze the technical foundation, social value, structural obstacles and optimization paths of the visually impaired’s short-video practice. The results show that Tictok empowers the visually impaired in self-expression, economic income and social connection, forming a positive cycle of online visibility and offline recognition, and effectively promoting their social integration. However, the group is also plagued by technical bias, algorithm discrimination, privacy risks and digital literacy gaps, with internal digital divides existing due to urban-rural and educational differences. The study concludes that the digital inclusion of the visually impaired requires collaborative efforts from multiple subjects: platforms should optimize barrier-free design and algorithm mechanisms, society should strengthen digital literacy education, and the state should improve relevant policy guarantees. This research enriches the application of media empowerment theory in disability studies and provides empirical evidence for building an inclusive short-video ecosystem.
AI-Enabled Digital Governance in Chinese Universities: Policy Evolution, Implementation Pathways, and Future Directions
Driven by the dual impetus of the Digital China strategy and the transformation of educational digitalization, Artificial Intelligence (AI) has emerged as a core enabling element for upgrading the governance system of Chinese universities. As a key carrier of the modernization of educational governance, the transformation of university digital governance is deeply aligned with national policy orientations and the inherent development needs of universities. This study focuses on the field of digital governance in Chinese universities, systematically sorting out the evolutionary context of digital governance policies from "infrastructure construction" to "intelligent integrated application", and analyzing the current characteristics and practical bottlenecks of smart campus construction in terms of technology implementation, data connectivity, and service adaptation. Focusing on three core governance scenarios—academic affairs management, human resources management, and financial management—this paper explores the specific application paths of AI technology in process optimization, precise decision-making, and efficiency improvement, including practical directions such as intelligent class scheduling, academic performance analysis, talent profile construction, and intelligent budget control. This study contributes to the literature by providing a policy-based analytical framework and scenario-oriented application pathways for AI-enabled governance transformation in higher education.
Public Data Openness and Corporate Green Technology Innovation
With the rapid development of the digital economy, public data has become an important strategic resource. The openness of government data can improve information transparency and promote the efficient use of data resources. This paper aims to examine the impact of public data openness on corporate green technology innovation. Using panel data of Chinese A-share listed companies from 2007 to 2023, this study constructs an empirical model to analyze the relationship between public data openness and corporate green innovation. The results show that public data openness significantly promotes corporate green technology innovation. The findings indicate that improving the level of public data openness can provide a favorable environment for enterprises to conduct green innovation and support sustainable economic development.
Research on the Digital Transformation of Cross-border E-commerce Enterprises in Guangdong Province in the Context of the Digital Economy
This paper examines the digital transformation of cross-border e-commerce enterprises in Guangdong Province against the backdrop of the digital economy, which has emerged as a core engine driving national economic growth. As a pivotal hub for China's cross-border e-commerce industry, Guangdong enjoys robust industrial foundations and favorable policy incentives, yet its enterprises still encounter prominent bottlenecks in digital upgrading. By taking Guangdong's cross-border e-commerce firms as research objects, this study clarifies the connotation of the digital economy, reviews the evolutionary trajectory of China's cross-border e-commerce policies, and dissects the business models and industrial chain structure of local enterprises. It further identifies key constraints in supply chain collaboration, digitalization, corporate management, and platform marketing. Accordingly, targeted pathways for transformation and upgrading are proposed from four dimensions: enterprise operation, brand building, government support, and infrastructure construction. The findings aim to facilitate the high-quality development of cross-border e-commerce in Guangdong and offer practical implications for the digital transformation of regional cross-border e-commerce industries nationwide.
Enhancing the Competitiveness of Chinese Cosmetics in the Korean Market
With the rapid development of the global "Beauty Economy," the international competitiveness of China's cosmetics industry has become a focal point of academic and industrial concern. This study focuses on the South Korean market—a traditional cosmetics powerhouse—to analyze the export performance of Chinese beauty products from 2013 to 2024. By utilizing trade indices such as TC, RCA, and CA, the research evaluates China’s comparative advantages and identifies existing gaps in brand premium and technical innovation. The findings suggest that while Chinese cosmetics have made significant breakthroughs via cross-border e-commerce and cultural "C-Beauty" trends, systematic improvements in brand value and localized marketing are essential. This paper proposes a series of strategies, including R&D investment and digital transformation, to further enhance China's competitive position in South Korea.
Research on the Identification of Labor Relations and Rights Protection of Online Car-Hailing Drivers in China
The combination of the sharing economy and the Internet has profoundly changed the lives of social members, but at the same time, labor disputes between online car-hailing drivers and platforms have gradually increased. Under the current system, establishing a labor relationship with the employer is a prerequisite for workers to safeguard their labor rights and enjoy social insurance, and the identification of the labor relationship between online car-hailing drivers and platforms has become the key to solving such disputes. Based on the introduction of the development background of the sharing economy and the current development status of online car-hailing platforms, this paper summarizes the research status of platform employment and various representative viewpoints, conducts an in-depth study on the identification of the employment relationship between online car-hailing platforms and drivers, and further explores the issue of rights protection for online car-hailing drivers. The research results show that the current employment forms of online car-hailing mainly include three types, which adapt to the development of the current economic situation and the needs of platforms and drivers. However, the rights protection of online car-hailing drivers is still in a predicament: there are many disputes over the identification of labor relations, and the problems of overtime working hours and low proportion of social insurance purchase are prominent.
An Empirical Study on the Impact of the Integration of AI and Big Data on Market Uncertainty in the Context of Economic Turbulence
This research investigates the impact of integrating Artificial Intelligence (AI) and Big Data analytics on market uncertainty specifically during periods of economic turbulence. It addresses the gap in existing literature concerning the empirical evidence of this relationship, particularly during economic downturns. The study employs a mixed-methods approach, combining quantitative analysis of market data with qualitative case studies of firms implementing AI and Big Data solutions. Findings reveal that the strategic integration of AI and Big Data can significantly reduce market uncertainty by enhancing predictive modeling capabilities and enabling proactive risk management strategies. However, the effectiveness of these technologies is contingent upon moderating factors such as industry type, the stringency of the regulatory environment, and the maturity of organizational data governance frameworks. Furthermore, the research identifies potential pitfalls, including algorithmic bias and over-reliance on data-driven insights without adequate human oversight, which can exacerbate uncertainty. The study culminates in a practical framework designed to guide businesses in effectively leveraging AI and Big Data to navigate market volatility. The implications extend to policy recommendations for fostering responsible AI adoption and data utilization to mitigate economic risks.
The Impact of Government Guidance Funds on Corporate Resource Allocation Efficiency
In 2025, the General Office of the State Council issued the Guidelines on Promoting the High-Quality Development of Government Investment Funds, emphasizing clearer strategic positioning, coordinated spatial layout, and synergistic linkages between national and local funds to better leverage fiscal resources in supporting the real economy. As a key fiscal policy instrument, government guidance funds play an important role in optimizing industrial structure and fostering innovation, especially during the “15th Five-Year Plan” period, when technological innovation and industrial upgrading are central to high-quality development. Using A-share listed firms in Shanghai and Shenzhen from 2008 to 2023, this paper empirically examines the impact of government guidance funds on corporate resource allocation efficiency. The results show that government guidance funds significantly enhance firms’ resource allocation efficiency. Mechanism analysis indicates that this effect operates mainly through easing financing constraints and increasing firms’ risk-taking capacity. Heterogeneity analysis reveals stronger effects for technology-intensive firms, firms with higher information disclosure quality, those operating in less marketized regions, and firms located in eastern and central China. These findings suggest that improving the policy environment, guiding capital allocation, strengthening risk management mechanisms, and optimizing market and legal institutions are essential to further amplify the effectiveness of government guidance funds.
Copyright (c) 2025 by author(s) and Erytis Publishing Limited. https://creativecommons.org/licenses/by-sa/4.0
The role of knowledge-sharing and creative self-efficacy on the link between self-leadership and innovative work behavior among employees of Technology-based SMEs in BeiJing
This study investigates the relationship between self-leadership and innovative work behavior among 384 employees in Beijing's technology-based SMEs, exam-ining the mediating role of creative self-efficacy and the moderating effect of knowledge sharing. Results show that creative self-efficacy significantly mediates the self-leadership–innovative work behavior relationship (30.6% of total effect), while knowledge sharing strengthens the positive relationship between self-leadership and creative self-efficacy. Based on these findings, a 12-month intervention program is proposed to enhance organizational innovation capacity. This research contributes to innovation management theory by validating an integrated framework applicable to resource-constrained SME contexts.
Research on the Connotation Interpretation and Legal Protection of Intellectual Property Rights in Emei Martial Arts
By analyzing the connotation of intellectual property rights in Emei martial arts from a legal perspective, this study aims to identify the challenges in the legal protection of Emei martial arts intellectual property rights and propose corresponding legal protection strategies. Research suggests that the intellectual property of Emei martial arts refers to the sum of Emei martial arts and all intellectual achievements created around Emei martial arts. The main difficulties in the legal protection of intellectual property rights in Emei martial arts lie in the particularity of the subject of Emei martial arts intellectual property rights, the imbalance of the object of Emei martial arts intellectual property rights, the relatively imperfect legal system of sports intellectual property rights, and the convenience of Emei martial arts intellectual property infringement. Research suggestion: Implement separation of management and office, clarify the rights holders; Optimize the development order and promote object balance; Improve the legal system of sports and establish a legal foundation; Strengthen comprehensive governance to prevent infringement.
The Coupling Mechanism and Empirical Study of Sports Events Empowering Rural Revitalization — A Case Study of the Orienteering Competition in Zhaoqing's "Hundreds, Thousands, and Millions Project"
From perspectives of social sports studies and the sports industry, this study examines how orienteering competitions, as a "Sports Plus" integration model, generate coupling effects with rural revitalization across economic, social, cultural, and ecological dimensions. Using case study methodology with the "Hundred-Thousand-Million Project" Orienteering Competition in Zhaoqing as the research subject, it employs literature review, in-depth interviews, and participatory observation.The event follows a "traffic-activation-identity-sustainability" pathway, significantly boosting rural consumption in the short term while promoting cultural identity reconstruction and environmental governance enhancement in the long term. Its core coupling mechanisms lie in resource integration, functional synergy, and value regeneration. The "lightweight, embedded, community-co-governed" event model serves as an effective pathway for achieving sustainable rural development, offering replicable insights for similar regions.
Research on the competitiveness and Complementarity of China-US Service trade
The cooperation in trade in services between China and the US is of strategic significance for deepening bilateral economic and trade relations and promoting the construction of China as a trading power. As a key area of economic and trade cooperation between the two countries, trade in services urgently needs to be improved and upgraded in the process of building a new development pattern. The research finds that China's commodity-related services, construction, telecommunications, computer and information services industries have obvious competitive advantages, while the competitiveness in financial services, other business services, transportation, insurance and pension services, travel, and intellectual property royalty services industries is relatively weak. The sectors with strong complementarity between China's export and the US' import of service trade are mainly concentrated in transportation, telecommunications, computers and information, etc. To achieve a higher level of opening up to the outside world and accelerate the pace of building a trading power, China should improve intellectual property protection, expand access to the financial market, strengthen compliance with trade policies and subsidy policies, create a fair competitive environment, promote institutional opening up of trade in services, expand the layout of the international market.
Multidimensional Review and Construction Strategies for the Interest Protection of Overseas Wenzhou Businessmen
Overseas Wenzhou businessmen, as an important part of the overseas Chinese business community, have actively expanded on the global economic stage and achieved remarkable results. However, with the complex and volatile international situation, overseas Wenzhou businessmen are facing numerous interest - related risks and challenges. This paper analyzes the current development situation of overseas Wenzhou businessmen, sorts out the types and causes of their overseas interest losses, and explores strategies for constructing an overseas interest protection mechanism from multiple dimensions such as the Chinese government, social organizations, and the enterprises themselves. The aim is to provide theoretical support and practical references for the protection and expansion of the interests of overseas Wenzhou businessmen.
A Study on Large-Scale Model Knowledge Extraction Methods for Enterprise-Level Data Governance
Enterprise data governance demands precise and standardized approaches to knowledge management. Addressing the limitations of traditional knowledge extraction methods when processing enterprise data governance documents, this study proposes an improved BERT-BiLSTM-CRF-based knowledge extraction method. It designs and implements a multi-level knowledge base architecture with an incremental update mechanism. A knowledge application service framework tailored for data governance is constructed, enabling intelligent decision support in core scenarios such as data standard formulation and quality diagnosis. This provides an effective technical solution for enterprise data governance.
Research on Competitiveness of Chinese Cosmetics in Indonesian Market
This study systematically analyzed the current competitive status and development path of Chinese cosmetics in the Indonesian market. Research shows that the Indonesian market, with its large population base, young demographic structure and continuously growing economic level, offers significant development opportunities for Chinese cosmetics enterprises. Through the analysis of dimensions such as the market competition environment, product power, brand influence and channel construction, this paper finds that Chinese cosmetics have comparative advantages in supply chain efficiency and digital marketing, but there are still deficiencies in brand building and cultural adaptation. The research further proposes targeted strategies from three aspects: product innovation, digital marketing, and supply chain optimization, emphasizing the importance of deepening localization practices, building unique brand images, and optimizing cost structures. This research provides theoretical references and practical guidance for Chinese cosmetics enterprises to explore the Indonesian market.
Strategies for Empowering Traditional Foreign Trade Enterprises to Achieve High-Quality Development through Cross-Border E-Commerce
In order to promote the transformation and upgrading of traditional foreign trade enterprises and achieve the goal of high-quality development, this article explores the paths for cross-border e-commerce to empower traditional foreign trade enterprises' high-quality development and formulates specific strategies. Through research, the article concludes that cross-border e-commerce empow-ering traditional foreign trade enterprises for high-quality development can promote the digital transformation and upgrading of traditional foreign trade businesses. It is beneficial for these enterprises to actively break down barriers in the international trade process and innovate traditional business transac-tions and service exchange methods. During the process of transformation and upgrading, traditional foreign trade enterprises should further recognize the value of cross-border e-commerce and actively shift towards cross-border e-commerce to achieve their goal of high-quality development.
Quality Analysis and Regional Differences of the Digital Economy in China’s Provinces
This paper employs factor analysis to construct a comprehensive assessment system for the digital economy, providing a thorough evaluation of the digital economy development in China's 30 provinces and cities. The research reveals the regional disparities in China's digital economy development, with the east-ern region leading, the central region in the middle, and the western and north-eastern regions developing relatively slowly. Key factors influencing the level of digital economy development include the level of information technology de-velopment, technological innovation and R&D, application of informatization, and e-commerce development, as well as communication infrastructure and services. Cluster analysis further categorizes the provinces into five groups, of-fering valuable insights for policymakers and businesses. Based on these find-ings, the paper suggests strengthening digital infrastructure construction, pro-moting industrial digital transformation, enhancing digital innovation, and deepening regional cooperation to foster balanced development of China's digital economy.
Mechanisms and Strategies of Digital Empowerment in Promoting the Green and Low-Carbon Transformation of Hunan's Manufacturing Industry under China's Dual-Carbon Goals
Against the backdrop of the continuous promotion of the "dual-carbon" strategy, the manufacturing industry, as a large carbon emitter, its green and low-carbon transition has become an inevitable requirement for realizing high-quality de-velopment. As deep integration of digital technology and industry, digital em-powerment is gradually becoming an important driving force to promote the green transformation of manufacturing industry. This paper takes Hunan Prov-ince as the research object, analyzes the main dilemmas facing the current green transformation of the manufacturing industry, constructs a framework of the role mechanism of digital empowerment to promote green and low-carbon transition, combs through the key role of digital technology in energy saving and emission reduction, optimization of resource allocation and intelligent governance, and puts forward multi-dimensional countermeasure suggestions. The results of the study show that digitalization has significant value in en-hancing the efficiency of green transformation and reshaping the development path of manufacturing industry, and that promoting the synergistic integration of digital technology and green development strategy is of great significance in realizing the regional "dual-carbon" goal.
Research on credit control and management of commercial banks
With mounting economic pressures in China, commercial banks are witnessing a continuous rise in non-performing loans, making credit risk management a renewed focus of attention. Effective risk management and control in credit operations serve as both essential require-ments for maintaining the healthy development of China's financial market and vital strate-gies for commercial banks to sustain competitiveness. When handling complex credit port-folios, how to effectively mitigate credit risks has become a critical challenge requiring in-depth research by grassroots commercial banks. This paper analyzes existing models and challenges in credit risk management within Chinese commercial banks, while proposing practical approaches to enhance risk management capa-bilities through real-world imple-mentation.
An analysis of trade linkages between China and RCEP member countries: based on trade inten-sity index model
On January 1, 2022, the Regional Comprehensive Economic Partnership (RCEP) came into effect, injecting new impetus into regional economic development. Based on the trade intensity index model, this paper calculates the bilateral trade linkage index of China's RCEP member countries from 2012-2023 from both import and export aspects. The results show that China's export trade is closely connected with RCEP member countries, while its import trade is weak with RCEP member countries, and there is still room to explore bilateral trade cooperation. Finally, based on the calculation results, this paper puts forward some targeted policy suggestions for strengthening trade ties between China and RCEP member countries
Analysis of High-Quality Development Paths for Cross-Border E-Commerce under the Background of the Guangdong-Hong Kong-Macao Greater Bay Area
Amid global value chain restructuring and digital trade expansion, the Guangdong-Hong Kong-Macao Greater Bay Area (GBA) faces transformative opportunities in cross-border e-commerce. Integrating regional innovation theory and new structural economics, this study identifies institutional synergy, digital infrastructure, and industrial ecosystems as critical dimensions for sectoral advancement. While the GBA has achieved breakthroughs in customs facilitation and payment integration, persistent challenges include widening digital divides and supply chain vulnerabilities. The proposed "policy-market-technology" model advocates institutional openness to dismantle administrative barriers, digital twins for supply chain reconfiguration, and industrial internet platforms for innovation. Findings reveal high-quality development as a nonlinear synergistic process requiring the GBA's transition from cost to institutional advantages within China's "dual circulation" paradigm, offering dual theoretical-practical insights for digital trade transformation.
Guangdong-Hong Kong-Macao Greater Bay Area
Prediction of the Inventory of New Energy Vehicle Charging Piles in China Based on Support Vector Machine
With the rapid development of China's new energy vehicle (NEV) industry, the charging pile, as a key supporting facility, plays a crucial role. Predicting the inventory of charging piles is of great significance for guiding the healthy de-velopment of the industry. This paper employs the Support Vector Machine (SVM) as the prediction model. Firstly, data on the inventory of NEV charging piles in China over the past six years were collected. Combined with factors such as the production and sales volume of NEVs, relevant policies, and public pa-tents, a prediction model was constructed. By selecting appropriate kernel func-tions and adjusting parameters, the SVM model demonstrated good predictive performance on the training data. Cross-validation and parameter optimization were conducted to ensure the stability and reliability of the prediction results. The prediction indicates that the inventory of NEV charging piles in China is expected to continue growing in the coming years.
Research on Supply Chain Resilience Promotion Strategy of New Energy Vehicle Manufacturing Industry
Global supply chain volatility, critical material shortages and rising geopolitical risks pose severe challenges to the new energy vehicle manufacturing industry. Based on supply chain resilience theory, this paper analyzes the vulnerability nodes of the new energy vehicle industry supply chain and constructs a resilience enhancement framework covering supply network optimization, digital empowerment, diversified procurement and inventory management, green cycle system and policy coordination. The research shows that by enhancing the transparency of supply chain, strengthening the control of key links and establishing agile response mechanism, the risk resistance and sustainable competitiveness of NEV supply chain can be significantly improved.
A Review of Research on the Causes and Initiatives of Small and Medium-sized Enterprises Financing Constraints
Green financing for SMEs faces severe financing constraints, which has become a key obstacle to their green transformation. By systematically combing rele-vant literature, this paper finds that green financing for SMEs in China mainly faces three major constraints: information asymmetry, insufficient collateral and high financing cost. To address these problems, three countermeasures are proposed: building a risk-sharing mechanism, developing a financial technology regulatory platform and introducing third-party green certification. The study suggests that intangible asset collateralization and financial product innovation need to be promoted in the future to effectively alleviate the financing difficul-ties of SMEs and promote green transformation. The study provides an im-portant reference for improving the green financial system.