Economics and Public Policy ISSN Print: 3104-4387 ISSN Online: 3104-4395 CD ISSN: 3104-4409
Design of Cross-Platform Cryptocurrency Futures-Spot Arbitrage Strategies and Risk Optimization Analysis
This paper focuses on the cross-platform arbitrage of cryptocurrency, clarifies its definition, principle, and application scenarios, sorts out relevant theories and market mechanisms, designs two standardized arbitrage strategies of forward and reverse arbitrage, analyzes potential risks, formulates a complete practical operation process, and conducts income calculation and cost analysis. The research adjusted the traditional arbitrage theory according to the characteristics of the cryptocurrency market, designed an arbitrage mechanism combining basis and capital rate, realized efficient hedging through the static dual-account mode, formulated a perfect practical operation process and risk control rules, and verified the effectiveness and feasibility of the strategy through historical review, which can provide practitioners with a quantitative trading scheme with low risk and stable returns.
Copyright (c) 2026 by author(s) and Erytis Publishing Limited https://creativecommons.org/licenses/by-sa/4.0
The Transformation of Trade Intermediaries: A Case Study of Garment Fabric Trading Companies
In the global trade landscape characterized by the rise of trade protectionism and the accelerated digital transformation, clothing fabric trade intermediaries are confronted with multiple survival crises, including profit compression, supply - chain instability, and information asymmetry. Existing research on the transformation of fabric traders is relatively scarce. This paper takes clothing fabric trading enterprises as the research object, outlines the four - stage evolutionary characteristics of the domestic fabric industry since 2000, analyzes the four core development dilemmas of traditional intermediaries, and quantitatively disassembles the driving weights of industry transformation from three dimensions: market, industry, and policy - technology. Based on this, four differentiated transformation paths are proposed: comprehensive supply - chain service providers, cross - border e - commerce multi - channel operators, full - chain industrial and trading integrated enterprises, and fabric brand operators. The applicable entities, profit - making logics, and implementation thresholds of each model are compared, and four typical enterprises are selected for case studies to quantitatively verify the improvement effects of different transformation models on revenue structure, profit margin, and operational efficiency. The research finds that the shortage of funds, the gap in professional talents, and the difficulties in digital technology adaptation are the main obstacles to enterprise transformation. Corresponding countermeasures such as diversified financing, joint talent cultivation between schools and enterprises, and technology collaboration among industry, academia, and research are proposed. The research predicts that the industry will evolve towards green and low - carbon development and the intelligent application of AI and the Internet of Things, providing theoretical basis and practical references for the digital and service - oriented upgrading of fabric trade intermediaries at home and abroad.
Navigating Business Breakthroughs: Traditional Bookstores in the Digital Era
This study aims to explore the survival challenges faced by traditional brick-and-mortar bookstores in the digital age. Through literature review and case analysis, this study identifies the limitations of existing research, and then constructs a transformation theoretical framework based on industry collaboration and digital integration, and looks forward to the future path of bookstore function reconfiguration. In the context of the digital age, the physical bookstore industry is experiencing a double predicament of scale contraction and increasing operational pressure. The industry transformation lacks a universal paradigm and requires adaptive adjustments based on its own resource endowments. The study further clarifies that the core value of physical bookstores lies in content curation and cultural scene creation, which provides theoretical guidance for seizing opportunities in related industry policies and promoting digital transformation.
The FDI Attraction Effect of Green Supply Chain Certification: Evidence from RCEP Countries
Against the backdrop of a sluggish global economic recovery, escalating geopolitical volatility, and increasingly urgent climate governance, the flow of Foreign Direct Investment (FDI) by Multinational Enterprises (MNEs) is undergoing profound structural reshaping. With the global green trade barriers, represented by the European Union's Carbon Border Adjustment Mechanism (CBAM), officially entering the definitive implementation and verification phase in 2026, the environmental compliance capacity of host countries has transitioned from a mere cost burden to a core novel determinant of capital flows. Grounded in the macro context of the Regional Comprehensive Economic Partnership (RCEP), this paper deeply integrates the institution-based view, the "Porter Hypothesis", and institutional decoupling theory to systematically analyze the underlying logic and micro-mechanisms of how Green Supply Chain (GSC) certification influences MNEs' FDI location choices. Based on panel data from 15 member countries spanning 2010 to 2022 and constructing a two-way fixed effects model, the empirical results reveal that GSC certification, represented by ISO 14001, significantly promotes FDI inflows. This finding not only confirms that environmental compliance has transformed from a "transaction cost" into an "institutional asset" with strategic premium, but also highlights the critical signaling role of voluntary environmental standards in reducing information asymmetry in cross-border transactions and evading "greenwashing" regulatory risks. This study expands the connotation of location advantages in the classic Ownership-Location-Internalization (OLI) paradigm. It not only provides scientific location coordinates for MNEs to navigate penetrative carbon verification and optimize Asia-Pacific supply chain layouts, but also offers forward-looking empirical evidence and strategic insights for developing RCEP members to abandon formalistic investment attraction strategies and formulate substantive macro-green economic transition policies.
A Review of Research on Intergenerational Education Mobility: Influencing Factors, Heterogeneity, and Prospects
Intergenerational educational mobility is a critical indicator for gauging the equality of educational opportunity and the level of social mobility, and is of great significance for advancing social equity and realizing common prosperity. The academic circle has produced extensive research on intergenerational educational mobility. Still, there is a shortage of papers that provide a relatively systematic review of dimensions such as influencing factors, heterogeneity, and research prospects. Accordingly, this paper presents a comprehensive overview of studies relevant to intergenerational educational mobility. Apart from explicating core concepts related to intergenerational educational mobility, it mainly introduces the latest research advances in two key areas: the factors influencing intergenerational educational mobility and its heterogeneity, and further discusses existing limitations as well as future development directions.
Research Review on the Scheduling Optimization of Production and Energy Systems under Uncertain Environments
The uncertainties in actual production and energy systems pose severe challenges to the stable, efficient, and low-carbon operation of the systems. Centering around the core of "uncertainty handling," this paper systematically reviews the mainstream modeling and solution methods for dealing with uncertainties in the current scheduling optimization field. At the measurement level, uncertainties can be characterized from two dimensions: parameter fluctuations and event perturbations, and there are essential differences in the impact mechanisms of the two on the scheduling scheme. From the perspective of uncertainty modeling, the theoretical foundations and applicable scenarios of methods such as fuzzy programming, stochastic programming, robust optimization, and distributionally robust optimization are reviewed; from the perspective of solution strategies, the evolution of methods from exact algorithms to heuristic, meta-heuristic, and then to intelligent decision-making methods based on learning and simulation is analyzed. At the effect level, uncertainties will significantly weaken the economic benefits and environmental performance of the scheduling scheme, but there are significant scenario heterogeneities in the degree of their impact. Research shows that distributionally robust optimization has attracted much attention due to its good balance between conservatism and economy, and the hybrid-driven method that combines simulation and learning is becoming an important trend to improve the adaptability of the scheduling system. Future research needs to further focus on the decision-making requirements in complex scenarios such as the coupling of multiple uncertainties, multi-agent games, and real-time dynamic responses.
Research on the Impact of Internal Control Deficiencies on the Cost of Enterprise Debt Financing
In recent years, the instability of the international economic situation and the turbulence of China's domestic and international environment have caused a downturn in the domestic financial market, making enterprises face the dilemma of "difficult financing" and "expensive financing". Therefore, based on the information asymmetry theory, principal-agent theory and signal transmission theory, this paper analyzes the impact of internal control defects on corporate debt financing costs with the sample of Shanghai and Shenzhen A-share listed companies from 2020 to 2024. The empirical study found that the reduction of internal control defects can effectively reduce the financing cost of enterprises. At the same time, from the perspective of audit quality and the nature of property rights, this paper analyzes their regulatory role in the relationship between internal control defects and corporate debt financing costs. The study found that, compared with enterprises with higher audit quality, the impact of internal control defects on corporate debt financing costs is more significant in enterprises with lower audit quality. And compared with state-owned enterprises, the impact of internal control defects on the cost of corporate debt financing is more significant in non-state-owned enterprises. This study helps enterprises realize the important role of the identification of internal control defects in the process of enterprise financing, and also enriches the theoretical research in related fields.
“Reading” China’s Economic Development Through Energy Indexes
This paper systematically analyzes the logic between China’s energy transition and economic development by constructing a quantitative analytical framework. The study introduces three core indexes—the Energy Consumption Growth Index, which measures gross domestic product (GDP) reliance on total energy scale; the Renewable Energy Contribution Index, which evaluates structural and qualitative improvements; and the Green Electricity Economic Contribution Index, which estimate the conversion of green efficiency into economic value—to dynamically assess the energy consumption characteristics of economic growth and the progress of green transition from a " volume–structure–efficiency" tripartite perspective. The research shows that China’s energy system has entered a positive synergy phase in which renewable energy dominates incremental growth and green power drives high-quality economic development.
Institutional Innovation and Diffusion Patterns of Inclusive AI at County Level: Evidence from Private Economy-Dominated Regions
The integration of artificial intelligence (AI) and inclusive growth drives transitional economies to narrow regional gaps and pursue common prosperity. China’s private economy-dominated areas are characterized by industrial clusters, market-based operations and severe urban-rural imbalances, creating a unique context for inclusive AI diffusion at the county level. Taking Wenzhou, a private economic hub in Zhejiang’s Common Prosperity Demonstration Zone, as the research sample, this paper adopts field surveys and empirical data to construct a four-dimensional theoretical framework: institutional supply, market adoption, inclusive diffusion and common prosperity empowerment. It systematically explores institutional barriers, innovative mechanisms and spatial diffusion modes of grassroots inclusive AI. The results identify four core constraints on AI popularization: uneven technological resource distribution, cross-regional data isolation, insufficient digital literacy of rural laborers, and high transformation costs for private SMEs. Targeted institutional innovations including tiered financial subsidies, industrial chain coordination, inclusive public computing power and multi-stakeholder co-governance can eliminate the “urban technological highland versus county technological lowland” gap. This study summarizes three localized diffusion patterns: leader-driven chain diffusion, platform-enabled cluster diffusion and scenario-oriented gradient diffusion. Mechanism tests verify that inclusive AI realizes common prosperity through three core paths: industrial efficiency growth, equalized public services and labor skill upgrading. This research expands the theoretical meaning of AI diffusion under institutional limits, provides localized institutional schemes for county-level digital inclusion, and offers practical references for emerging economies to coordinate technological progress and inclusive growth.
The Impact of RCEP Entry into Force on China's Regional International Trade Flows and Industrial Division of Labor
The Regional Comprehensive Economic Partnership (RCEP) took effect on January 1, 2022 and has operated for four years. Based on 2021–2024 official trade data from China's National Bureau of Statistics and 2025 customs statistics, this paper evaluates RCEP's impacts on China's trade volume and regional industrial division. Results show: (1) China's total trade with other RCEP members reached USD 1.385 trillion in 2025, accounting for 30.4% of China's overall foreign trade, up 4.8% from 2021; RCEP has been China's largest regional trade partner for four consecutive years. (2) China's exports to ASEAN economies including Vietnam, Singapore and Indonesia rose sharply, while trade deficits with Japan, South Korea and Australia narrowed continuously. (3) China exports mechanical, textile and high-tech intermediate goods to the bloc and imports integrated circuits and mineral resources, forming distinct regional value chain labor division. This paper concludes with targeted suggestions for regional cooperation, trade structure optimization and industrial upgrading.
Improving Response Efficiency in Extreme Scenarios: Optimizing Emergency Response and Rapid Repair Mechanisms for Natural Gas Leakage in Chengdu
With the acceleration of urbanization and the continuous expansion of gas pipeline networks in Chengdu, natural gas leakage accidents caused by extreme weather, complex terrain, third-party construction damage, and other extreme scenarios occur frequently, posing severe threats to urban public safety, residents’ lives and property, and the ecological environment. The current emergency response and rapid repair mechanisms for natural gas leakage in Chengdu still suffer from insufficient targeted contingency plans, poor emergency coordination, inadequate adaptability of technical equipment, and uneven professional capabilities of repair teams, which can hardly fully meet emergency response demands under extreme scenarios. Based on the characteristics of Chengdu’s gas pipeline network distribution, types of extreme scenarios, and current emergency response status, this paper analyzes typical cases and existing shortcomings, and puts forward targeted optimization suggestions from five dimensions: optimization of the contingency plan system, improvement of the coordination mechanism, upgrading of technical equipment, strengthening of team building, and improvement of the support system. The aim is to enhance the efficiency of emergency response and rapid repair of natural gas leakage in Chengdu under extreme scenarios, build a solid line of defense for urban gas safety, and provide theoretical support and practical references for Chengdu’s construction of a safe and resilient city.
Digital Trade and Governance of Global Value Chain Resilience
Global value chains are shifting from efficiency-first to security and resilience priority, with digital trade becoming a key force in reshaping governance logic. Based on multiple frontier studies, this research systematically examines the intrinsic relationships among digital technology, digital trade rules, artificial intelligence, and GVC resilience. The findings indicate that digital trade enhances resilience through three mechanisms: risk diversification and supply-demand matching optimization, institutional opening-up and rule network embeddedness, and digital competitiveness improvement and structural constraint mitigation. Key drivers include digital trade rule network status, industrial digitalization, AI application, and new-quality productive forces. Meanwhile, multiple external shocks weaken resilience through rising trade costs, asset-specificity traps, and network modularity lock-in, and the enabling effect exhibits a “Matthew effect.” This research proposes governance pathways including constructing a “China Template” for digital trade rules, advancing institutional opening-up, and strengthening digital infrastructure.
Research on Employment Problems of China's Gig Economy Under Algorithm Guidance
Against the backdrop of algorithm-driven labor market transformation, China's gig economy grapples with structural tensions between employment innovation and labor rights protection. The research centers on "employment in China's gig economy under algorithmic guidance". Contradictions stem from the mismatch between algorithmic control and existing labor governance. The traditional system faces hurdles like liability-identification failures.A multi-faceted approach of "technical ethics reconstruction+institutional innovation+social collaboration" is proposed: clarify legal boundaries, promote algorithm transparency, strengthen supervision and collective bargaining, and boost employment security. Future research should focus on public-driven algorithm governance and cross-platform rights protection for a balance between gig economy growth and rights safeguarding, offering a Chinese model for digital-age labor governance and policy insights.
“Killer Acquisitions” by Platform Firms: A Research Review and Future Prospects
In recent years, large-scale acquisitions of startups by platform firms have drawn significant attention from global antitrust authorities and academia, making “killer acquisitions” one of the most debated topics in competition policy. This paper systematically reviews the literature on killer acquisitions by platform firms, presenting the current state of research and academic controversies across four dimensions: conceptual definition, driving factors, competitive effects, and antitrust regulation. The findings reveal that while a basic consensus has emerged on the definition of killer acquisitions—where incumbent firms acquire innovative startups to eliminate potential competitive threats—there remains a risk of conceptual overextension when applying this notion to the digital platform context. Regarding driving factors, eliminating potential competitive threats is the core explanatory variable, yet ecosystem building, talent acquisition, and data hoarding are also significant and multifaceted motives. Empirical evidence on competitive effects is highly divergent: international studies tend to confirm the anticompetitive harm of killer acquisitions, whereas empirical research based on China’s BAT companies (Baidu, Alibaba, Tencent) finds no consistent “killer” motive, highlighting notable contextual differences between Western and Chinese platform markets. Antitrust regulation faces three major challenges—ineffective merger notification thresholds, difficulty in identifying potential competition, and a heavy burden of proof. Various jurisdictions are exploring regulatory reforms by introducing transaction-value thresholds, ex post review mechanisms, and shifts in the burden of proof. Based on these insights, this paper identifies four promising directions for future research: modeling the dynamic competitive effects of killer acquisitions, comparative institutional analysis of platform merger patterns between China and the West, strategic combinations of regulatory tools and welfare trade-offs, and the evolving forms of killer acquisitions in the AI era alongside corresponding policy responses.
Advantages, Disadvantages, and Development of Technology Licensing
With the increasing importance of technological innovation in economic development, technology licensing has become a key mechanism for promoting technology diffusion and knowledge transfer, and an essential tool for firms to gain competitive advantages and achieve technology commercialization. This paper analyzes the advantages, disadvantages, and future development trends of technology licensing. The study finds that technology licensing can enhance innovation returns, reduce R&D costs, promote technology diffusion and industrial upgrading, and improve resource allocation efficiency and market competition, thereby contributing to overall social welfare. However, it may also generate several negative effects, including the erosion of licensors’ competitive advantages, risks of technology spillovers and knowledge leakage, weakened incentives for independent innovation among licensees, and increased market concentration and transaction costs. Furthermore, with the development of the digital economy and global innovation networks, technology licensing is evolving toward greater openness, platformization, digitalization, and internationalization. It is expected to play an increasingly important role in open innovation, green transformation, and global technological cooperation. Overall, balancing technology diffusion and innovation incentives remains a central issue in the design and development of technology licensing systems.
The Evolution and Effectiveness of China's Regional Coordinated Development Policies: A Comparative Study Based on "Yangtze River Delta Integration", "Northeast Revitalization", and "Guangdong-Hong Kong-Macao Greater Bay Area"
In the process of high-quality economic development in China, regional coordinated development policies play a pivotal role. Due to differences in resource endowments, geographical environments, and historical development foundations, China's regional economic development shows a significant imbalance, which makes the research on regional coordinated development policies of great practical significance. This paper deeply analyzes the evolution process and implementation effectiveness of the three major regional coordinated development policies of "Yangtze River Delta integration", "Northeast Revitalization" and "Guangdong-Hong Kong-Macao Greater Bay Area" by comprehensively using the literature research method, case analysis method, and comparative research method. The study finds that the "Yangtze River Delta integration" policy has achieved remarkable results in promoting high-quality integrated development of the regional economy; although the "Northeast Revitalization" policy has undergone several rounds of adjustments, it still faces challenges in industrial structure optimization and institutional mechanism reform; the "Guangdong-Hong Kong-Macao Greater Bay Area" policy has made positive progress in promoting regional innovation and coordinated development, but there are obstacles in terms of rule connection. Through comparative analysis, this paper puts forward targeted suggestions for improving China's regional coordinated development policies, so as to help build a new pattern of coordinated regional development.
Guangdong - Hong Kong - Macao Greater Bay Area
Team Mindfulness in Management Research: A CiteSpace-Based Bibliometric Analysis
This research explores the use of mindfulness in team management to enhance collaboration, leadership, and performance. Using bibliometric tools (Web of Science, CiteSpace, VOSviewer), the study analyzes literature trends and finds that mindfulness improves team cooperation, reduces stress, and strengthens decision-making. The study concludes that mindfulness effectively enhances team outcomes and suggests future research across diverse cultural and organizational settings.
Copyright (c) 2026 by author(s) and Erytis Publishing Limited. https://creativecommons.org/licenses/by-sa/4.0
Research on the Export Competitiveness and Potential of Chinese Cosmetics in the Indonesian Market
This paper provides a systematic assessment of the competitiveness and growth prospects of Chinese cosmetics in Indonesia. Indonesia’s large population, youthful demographics, and rising incomes create substantial opportunities for Chinese beauty firms. By examining market conditions, product capability, brand influence, and channel development, the study finds Chinese firms hold advantages in supply-chain responsiveness and digital marketing, yet lag in brand equity and cultural localization. The paper proposes targeted measures across three pillars—product innovation, digital branding, and supply-chain optimization—stressing deeper localization, distinctive brand positioning, and cost-structure improvements. The findings offer theoretical insights and practical recommendations for Chinese cosmetics enterprises expanding into Indonesia.
Research on Structural Characteristics and Optimization of Policy Mix for Pollution Reduction and Carbon Abatement in Chengdu-Chongqing Twin-City Economic Circle
Against the background of the carbon peaking and carbon neutrality goals as well as ecological civilization construction, the collaborative governance of pollution reduction and carbon abatement has become an important direction for regional green and low-carbon transition. Taking the Chengdu-Chongqing Twin-City Economic Circle as the research object, this paper constructs a three-dimensional analytical framework of policy objective–policy instrument–policy intensity based on relevant policy texts from 2000 to 2025, and analyzes the evolution process and structural characteristics of the regional policy mix for pollution reduction and carbon abatement. The study finds that policy supply has generally gone through three stages: the initial stage of traditional pollution governance, the expansion stage of green low-carbon development, and the intensified stage of coordinated pollution reduction and carbon abatement. Policy objectives have gradually expanded from single pollution control to compound goals covering carbon emission reduction, energy transition, industrial transformation, ecological protection and regional coordination. Mandatory policy instruments dominate, while market-oriented and guidance-based instruments have been gradually strengthened; nevertheless, voluntary instruments and social participation mechanisms remain insufficient. Policy intensity keeps increasing, whereas joint governance, standard alignment, data sharing and collaborative evaluation mechanisms between Sichuan and Chongqing still need to be improved. On this basis, it is necessary to strengthen overall objective coordination, optimize the structure of policy instruments, enhance regional collaboration and improve the dynamic evaluation mechanism, so as to promote the policy mix to shift from quantitative expansion to structural optimization.
Chengdu-Chongqing Twin-City Economic Circle
Pollution Reduction and Carbon Abatement
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.
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.