Journal of economic and management development research
《经济与管理发展研究》（Journal of Economic and Management Development Research，ISSN 3105-5907，eISSN 3106-6321）是一份致力于推动经济与管理领域理论创新与实践探索的中文学术期刊。本刊以服务学者、研究人员与企业管理者为宗旨，聚焦经济发展新趋势与管理创新前沿，关注宏观经济政策、产业升级、企业战略、组织管理与数字化转型，致力于为经济与管理研究搭建高水平的学术交流与思想碰撞平台。
Digital Economy: The “New Air” Integrated into Our Daily Lives
This paper provides a comprehensive discussion of the digital economy. It first points out that the digital economy has penetrated every aspect of daily life and has become a common way of living. It then explains the definition of the digital economy, including such core components as digital industrialization and industrial digitalization, as well as important dimensions such as digital governance and data valorization. The paper further shows that China’s digital economy has developed rapidly, featuring a large scale and fast growth rate, while reshaping the economic structure and exhibiting distinctive regional distribution characteristics. It also introduces the core technologies and applications of the digital economy, such as big data and cloud computing. In addition, the paper analyzes how the digital economy has transformed lifestyles in areas such as shopping and travel, while also bringing new opportunities for entrepreneurship and innovation, as well as new challenges such as the digital divide. Finally, it looks ahead to the future development of the digital economy, noting trends such as the comprehensive empowerment of artificial intelligence, and calls on people to embrace the digital era and jointly create a better future.
Copyright (c) 2026 Journal of economic and management development research https://creativecommons.org/licenses/by-nc/4.0
Dilemmas and Solutions in Intellectual Property Protection in the Development of Scenic Area Cultural and Creative Products: Taking the Phenomenon of Tourists Selling Counterfeit Products on E-commerce Platforms as an Entry Point
Against the backdrop of the in-depth integration of culture and tourism, cultural and creative products of scenic areas (hereinafter referred to as “scenic cultural and creative products”) have become an important vehicle for inheriting regional culture and enhancing the added value of scenic destinations. However, the market for scenic cultural and creative products has been frequently troubled by counterfeit and imitation practices. In particular, the phenomenon whereby tourists purchase genuine products, reproduce them, and then sell the imitations at low prices through e-commerce platforms has seriously infringed upon the intellectual property rights of original creators, disrupted market order, and constrained the healthy development of the scenic cultural and creative industry. Taking this phenomenon as the central object of study, this paper reviews the current state of scenic cultural and creative product development and intellectual property protection, analyzes the formation mechanism and multiple harms of tourists’ counterfeit selling behavior, and, in light of typical cases, explores the deficiencies of the current intellectual property protection system in addressing this issue. Finally, it proposes targeted solutions from multiple dimensions, including rights holders, regulatory authorities, e-commerce platforms, and consumers, with the aim of providing theoretical references and practical guidance for improving the intellectual property protection mechanism for scenic cultural and creative products and promoting the high-quality development of the culture and tourism industry.
Dance Vocational Education as a Component of Composite Human Capital: A Study
Study aims to systematically reassess the economic value of dance vocational education from an expanded human capital theory perspective, addressing the prevalent contradiction between its societal perception and its underestimated actual worth. The paper first constructs a novel theoretical analytical framework, proposing that dance skills are not merely singular bodily techniques but rather a composite, specialized form of human capital. This capital is formed through the deep integration of three dimensions: "Technical Somatic Capital," "Non-cognitive Psychological Capital," and "Cultural-Symbolic Creative Capital," with its value rooted in the organic whole formed by these dimensions and their dynamic synergistic effects. Building on this, the research delves into the micro-mechanisms through which this composite capital achieves economic returns in the labor market. It reveals key pathways: establishing credible signals through a "Signaling Mechanism" in environments of information asymmetry; creating high added value via a "Direct Productivity Enhancement Mechanism" in both core and derivative fields; and dynamically expanding career boundaries through a "Career Matching Optimization and Capital Transfer Mechanism." Subsequently, the study elevates its perspective to the macro level, arguing that the accumulation of dance human capital on a large scale acts as a key element driving the prosperity of the creative industry, empowering urban soft power renewal, promoting socio-cultural integration, and shaping the national cultural image, thereby generating strategic synergistic resonance with broader economic and social development. Finally, the research outlines a blueprint for an empirical testing strategy based on multi-source public data, aiming to provide a rigorous methodological foundation for the future verification of the theoretical propositions presented. The conclusions of this study hold significant theoretical implications and policy relevance for transcending instrumental rationality and repositioning the value of arts education from the perspective of strategic human capital and social innovation infrastructure.
The Role of Innovation in Economic Development and Economic Cycles
Innovation, as the core driving force of economic growth and a key influencing factor of economic cycle fluctuations, its mechanism of action and cycle interaction law are the core issues in solving sustainable economic development problems. This study is based on Schumpeter's innovation theory, economic growth theory, and economic cycle theory. Through a systematic review of literature and mechanism analysis, it focuses on two core issues: the multi-level path of innovation driven economic development, and the interactive mechanism between innovation and economic cycles. The study constructs an innovation driven framework with a three-level linkage of "micro (entrepreneurial spirit and resource allocation) - meso (industrial structure upgrading and knowledge spillover) - macro (total factor productivity improvement)", revealing the inherent relationship between innovation clusters and Kondratiev's long-term cycle, elucidating the heterogeneity of innovation performance in the prosperous period (progressive characteristics) and the declining period (disruptive characteristics), as well as the cyclical transmission paths of neutral and biased technological shocks. Research has found that innovation drives long-term economic growth through multi-level mechanisms and forms a two-way interaction with economic cycles. Technological shocks affect cyclical fluctuations through the transmission of micro firm behavior, meso industry linkages, and macroeconomic variables. Based on this, an innovation policy system that balances cyclical adjustments and long-term orientation is proposed: during the prosperous period, market norms and intellectual property protection are emphasized, while during the declining period, disruptive innovation support and factor aggregation are strengthened. The institutional environment is optimized from three dimensions: cultivating entrepreneurial spirit, incentivizing knowledge spillovers, and improving factor markets. This study integrates the fragmented mechanism of innovation driven economic development, deepens the contemporary interpretation of the theory of "creative destruction", and provides theoretical references and practical paths for policy makers to achieve a balance between long-term growth and short-term stability.
Economic cycle Three level linkage mechanism
Organizational Economics Linkage and Coupling Coordination Study of China's Chemical and Textile Industries
The chemical industry and the textile industry, as fundamental sectors of China's manufacturing industry, exhibit deep industrial chain linkages. Based on the 2020 China Input-Output Table, this paper systematically investigates the linkage characteristics of these two major industries using influence coefficients and response sensitivity coefficients. The research finds that the chemical industry demonstrates a significant supply support function, with the response sensitivity coefficient for specialized chemical products reaching as high as 1.908 and that for chemical fiber products reaching 1.102, far exceeding the social average level. Its supply stability directly determines the operational efficiency of the textile industry chain. The textile industry, on the other hand, exhibits a strong demand-pull effect, with the influence coefficients of knitted products (1.278), textile finished products (1.251), and apparel and clothing (1.231) ranking among the highest, creating a sustained demand-driving force for upstream chemical raw materials. Chemical fiber products stand out in both influence coefficient (1.216) and response sensitivity coefficient (1.102), serving as the core link connecting the two industries. The research conclusions indicate that the chemical industry occupies a fundamental and dominant position in the industrial linkage. However, it currently faces the dual challenges of pressure for green transformation in specialized chemical products and structural oversupply in chemical fibers, necessitating accelerated technological innovation and product differentiation transformation to enhance the synergistic efficiency of the industrial chain.
Research on the Application of Generative AI in the Integration of Special Collection Resources Development and Innovation and Entrepreneurship Education in University Libraries
Against the backdrop of the rapid development of artificial intelligence technology, university libraries are undergoing a value reconstruction from "knowledge warehouses" to "intelligent engines". This study focuses on the intersection of generative artificial intelligence, the development of special collections in university libraries, and innovation and entrepreneurship education, aiming to explore a new path for activating cultural heritage through technological innovation and empowering the cultivation of innovative talents with cultural resources. The paper first analyzes the intrinsic demands and contemporary opportunities of the development of special collection resources and innovation and entrepreneurship education. Furthermore, it systematically expounds the key technologies and application paradigms of generative AI in the links of text recognition, knowledge reconstruction, interactive presentation and creative derivation of special collection resources; On this basis, an integrated application model of "resource activation - scene construction - ability cultivation" was constructed and supported by cutting-edge practical cases at home and abroad. Finally, a dialectical analysis was conducted on the challenges of data, technology, ethics and talent faced during the integration process, and strategic prospects for the future were proposed. Research shows that generative AI is not only the core driving force for the "digital and intelligent" transformation of special collection resources, but also a key bridge to break down the barriers between cultural inheritance and innovative practice. It provides a practical and feasible solution for university libraries to reshape their educational functions and cultivate compound innovative and entrepreneurial talents in the AI era.
Innovation and entrepreneurship education
Research on the Impact of Aging Rural Population on Agricultural Economy in Heilongjiang Province
This paper focuses on Heilongjiang Province, an important grain production base in China, and empirically examines the impact of rural population aging on agricultural economy and its mechanism of action. Based on municipal-level panel data from 2000 to 2023, the study finds that: (1) Rural population aging significantly inhibits agricultural economic growth, with a 1% increase in the degree of aging leading to an approximate decrease of 0.049% in total agricultural output value. (2) Mechanism tests indicate that agricultural labor supply is the core intermediary channel, and aging restricts agricultural production efficiency and structural upgrading by reducing the effective supply of labor and lowering labor quality. (3) Heterogeneity analysis shows that the negative impact of aging is more significant in major grain-producing areas and agricultural reclamation systems. This study reveals the core constraints faced by agricultural economy under the background of population structure transformation, providing empirical evidence and policy implications for Heilongjiang Province and similar regions to address rural aging, ensure food security, and promote agricultural modernization.
“Infrastructure Imprint” of University Memory: On the Construction and Inheritance of Infrastructure Archives as Organizational Memory
University infrastructure archives serve as the original records of campus construction activities, carrying core information on the evolution of campus spatial forms, iteration of educational philosophies, and continuation of cultural genes. They are the material carriers and living imprints of university organizational memory. Based on organizational memory theory, this paper explores the core reasons why infrastructure archives can construct university organizational memory, analyzes the practical challenges they face in the construction and inheritance of university memory, proposes targeted inheritance strategies, and finally summarizes research conclusions and clarifies practical guidance. It provides theoretical support and practical reference for universities to rely on infrastructure archives to preserve campus memory, foster cultural identity, and empower educational development.
Research on Data Security and Privacy Enhancement Mechanisms of AI Large Models in the Context of Low-Altitude Economy
The advancement of low-altitude economy as a national strategy and its in-depth integration with AI large models have highlighted the core value of data security and privacy protection. Addressing the issues of inadequate adaptation between existing research technologies and economic management, as well as the neglect of differentiated needs of small and medium-sized enterprises, this paper constructs a "technology-management-economy" collaborative enhancement framework and proposes a full-chain mechanism of "source prevention-process control-backend guarantee-dynamic optimization". Integrating lightweight hierarchical protection, cross-subject governance and scenario-adaptive strategies, the framework achieves a dynamic balance among security, efficiency and cost. Empirical verification based on 12 low-altitude logistics enterprises shows that the mechanism can reduce the risk of privacy leakage to 0.08%, cut compliance costs by 35%, and increase training data coverage to 92%. This research provides gradient solutions for subjects of different scales, improves the theoretical system of low-altitude economy data governance, and offers practical support for the high-quality development of the industry.
Research on the Evaluation of the International Competitiveness of China's Two-Dimensional (2D) Cultural Products
Against the backdrop of global cultural digitization, the two-dimensional (2D) industry has emerged as a crucial dimension for measuring a country's cultural soft power. Based on industry data from 2013 to 2024, this study systematically evaluates the export competitiveness of China's 2D cultural products (including animation, games, and derivatives). The findings reveal that the industry is characterized by "strong foundations but structural imbalances": the domestic market has surpassed RMB 300 billion, yet exported content is notably "juvenile-oriented"; game exports have reached a scale of billions of U.S. dollars but are overly reliant on mobile platforms and markets in the United States, Japan, and South Korea; the derivatives sector has explored effective pathways through the Direct-to-Consumer (DTC) model. The study identifies five major bottlenecks: insufficient original creative capabilities and talent shortages, weak IP ecosystem operations, key technologies being constrained by external factors, inadequate intellectual property protection, and persistent cultural barriers. Through an in-depth analysis of the case of "Genshin Impact," a systematic improvement framework encompassing strategic leadership, technological support, and operational coordination is constructed, providing path guidance for the industry to achieve a critical leap from scale-based exports to value-based exports.
Research on the Innovation of Diversified Operational Models from the Perspective of Cultural and Creative Economy: Focusing on Consignment, Supply, and Independent R&D
Driven by the dual forces of the cultural power strategy and consumption upgrading, the cultural and creative economy has emerged as a crucial engine for activating the value of cultural resources and stimulating economic growth. The choice and innovation of operational models directly determine the core competitiveness and sustainable development capabilities of cultural and creative enterprises. Against the backdrop of the cultural and creative economy, this paper focuses on three core operational models: consignment, supply, and independent research and development (R&D). It systematically analyzes the operational mechanisms, core advantages, and application limitations of each model, and explores their practical paths in cultural and creative enterprises through typical case studies. Based on this analysis, the paper proposes optimization strategies for the integrated development of diversified models, providing theoretical references and practical insights for cultural and creative enterprises to break through development bottlenecks and enhance the efficiency of cultural value transformation.
Construction of a "New Craftsmen" Training Model and Value Creation in the Context of Intelligent Manufacturing: A Case Study on Personnel Skill Transformation in a Heavy-Duty Truck Welding Workshop
With the deepening advancement of intelligent manufacturing, China's manufacturing industry is undergoing a strategic transition from "equipment intelligence upgrading" to "talent intelligence upgrading." Taking the automation transformation of a heavy-duty truck welding workshop as a case study, this paper conducts an in-depth analysis of the practical process through which 30 traditional welders were reshaped into 15 versatile professional operators and maintenance technicians via a systematic and forward-looking "New Craftsmen" training model. From the perspective of economic management and in line with the common patterns of automation upgrading in the automobile manufacturing industry, this study demonstrates the significant value of this model in enhancing return on investment, reducing total cost of ownership, strengthening organizational resilience, and fostering a sustainable talent pipeline. The aim is to provide a referential practical pathway for the manufacturing industry to treat human capital investment and equipment technology investment equally and to maximize the efficiency of human-machine integration.
The Theory and Practice of AI Reshaping International Finance
The rapid development of artificial intelligence (AI) technology is triggering a profound "intelligent leap" in the field of international finance, with its impact extending from the level of technological tools to the core of theory and governance paradigms. This paper constructs a three-dimensional analytical framework of "cognitive theory - methodology - practical theory" to systematically elucidate the theoretical reconstruction and practical reshaping of the international financial system by AI. The study finds that at the cognitive level, AI drives the evolution of market expectation formation mechanisms from "rational expectations" to "algorithmic expectations" by processing vast amounts of heterogeneous data. At the methodological level, machine learning and complex system modeling break through the limitations of traditional econometrics, providing a brand-new toolkit for understanding nonlinear and networked international financial dynamics. At the practical level, AI is deeply embedded in foreign exchange reserve management, offshore currency market operations, and cross-border capital supervision, pushing decision-making models to shift from pursuing static equilibrium to building dynamic resilience. This paper conducts case studies on two cutting-edge scenarios: the "intelligent diversification" management of China's foreign exchange reserves and the "intelligent mechanism" design of the RMB offshore market. It reveals that in the process of financial opening-up, China's strategic application of AI is not merely a tool for enhancing efficiency but also a crucial strategic fulcrum for participating in and shaping future global digital financial governance, safeguarding financial security, and gaining the initiative in currency competition. Finally, the paper discusses core challenges such as algorithmic governance, data sovereignty, and new types of systemic risks, providing policy implications for constructing a new international financial governance framework adapted to the intelligent era.
From "Competition Arena" to "Marketplace":Research on the Transformation Dilemmas and Empowerment Mechanisms of College Students' Innovation and Entrepreneurship Competitions
College students' innovation and entrepreneurship competitions have become an important carrier for universities in China to cultivate innovative talents and promote innovation and entrepreneurship education. However, a large number of competition achievements remain confined to the "competition arena" and fail to effectively enter the "market" to realize their economic and social values. This paper aims to systematically analyze the practical dilemmas in the core process of "competition-innovation transformation" and construct a multi-agent collaborative enabling mechanism.Firstly, the study sorts out the theoretical logic and practical significance of competition achievement transformation, and points out its importance for talent cultivation, education reform and innovation-driven development. Then, based on literature analysis and typical cases, this paper deeply reveals the key obstacles in the transformation process from four dimensions: achievement attributes, subject capabilities, support systems and market environment, and constructs a dilemma analysis framework table.The study holds that the current dilemmas are mainly manifested in the following aspects: the disconnection between the "competition-oriented" and "market-oriented" positioning of projects, the insufficient sustainable operation and commercialization capabilities of student teams, the university internal support system's tendency of "valuing competitions over incubation", and the weak connection between social capital and the industrial chain.To address these pain points, this paper proposes to construct a "four-in-one" enabling mechanism involving the government, universities, enterprises, financial and service institutions from four levels: top-level design, educational process, support platforms and ecosystem. Specifically, it includes: optimizing policy incentives and evaluation systems to guide the orientation of "taking transformation as the criterion"; deepening the integration of professional education and innovation and entrepreneurship education to improve students' market cognition and practical business capabilities; improving the university internal full-chain support platform covering "competition-incubation-acceleration"; building an open ecosystem featuring deep industry-university-research-application collaboration and accurate capital docking.This study provides a systematic analysis framework and practical path for solving the problem of transforming college students' innovation and entrepreneurship competition achievements, and has reference value for improving the effectiveness of university innovation and entrepreneurship education and serving the national innovation-driven development strategy.
Innovation and entrepreneurship competitions
Integration of specialized and entrepreneurial education
Development Trajectory and Future Prospects of Domestic Cultural Property Exchanges
This paper systematically reviews the five developmental stages of China's Cultural Property Exchanges (CPEs) since their inception and conducts an in-depth analysis of the root causes behind the industry irregularities that emerged during their growth. To address challenges in future development, this study proposes a comprehensive framework: enhancing legal regulations, elevating industry and professional entry standards, strengthening risk management mechanisms, safeguarding investor interests, and embracing digital transformation through diversifying tradable assets and collaborative models. These recommendations aim to foster institutionalization and professionalization within the CPE sector.
Digital collectibles (non-fungible tokens)
Research on Apparel Enterprise Management and Marketing Strategy Based on Brand Value Identification
This study examines how apparel enterprises systematically construct and communicate their brand core values through marketing strategies, thereby driving consumer purchase decisions based on cultural identification. Moving beyond traditional consumer behavior analysis, it explores how management translates abstract cultural concepts into actionable product strategies and marketing activities. Employing Bourdieu’s “Cultural Capital” theory and McCracken’s “Meaning Transfer Model” as its analytical framework, this research conducts in-depth case studies of multiple brands spanning both sportswear and luxury segments. The findings reveal that successful apparel brands essentially function as effective “cultural capital operators” and “meaning management experts.” By anchoring themselves within specific social fields through precise positioning, these brands adopt integrated strategies—including product innovation, content narrative, community engagement, and channel orchestration—to systematically encode and transfer cultural meaning, thereby fostering strong value recognition and a sense of identity among consumers. This study argues that value-identification-oriented brand management constitutes a strategic alignment with and empowerment of consumers’ identity projects. This process requires firms to maintain strategic focus while leveraging data-driven precision and operational agility to build sustainable competitive differentiation.
Research on Overseas Employment Management of Chinese Textile Enterprises from the Perspective of Multi-Country Labor Laws
Against the backdrop of global value chain restructuring and diminishing domestic cost advantages, Chinese textile enterprises have accelerated their overseas expansion but face severe challenges in labor law compliance. Integrating institutional theory and cross-cultural management theory, this study constructs a three-dimensional analytical framework of “regulation-norm-cognitive culture” and selects typical cases in Ethiopia, Thailand, and Germany to systematically analyze the institutional distance, union pressure, and cultural conflicts encountered in overseas labor management. The study finds that successful enterprises achieve a transition from passive compliance to proactive governance through a systematic adaptation path of "compliance front-loading, institutional transplantation, cross-cultural integration, and dynamic monitoring." This paper provides a theoretical perspective and practical pathways for the overseas compliance management of textile enterprises.
Analysis of Existing Problems and Improvement Strategies of the Logistics Distribution System in the Context of E-Commerce
In recent years, logistics and distribution have faced many challenges while promoting the development of e-commerce and economic growth. This article takes JD Logistics as an example to analyze the problems of excessive market competitiveness, poor delivery time, high logistics costs, and loss of professional talents in its distribution system based on the SCOR model, and proposes targeted optimization measures.
University Libraries from the Perspective of Professional DevelopmentResearch on Professional Training and Management Innovation of Reading Therapy Librarians
With the in-depth implementation of the "Healthy China" strategy and the increasingly prominent social demand for mental health, reading therapy, as an auxiliary psychological intervention method integrating prevention, development and treatment functions, has received unprecedented attention in the academic and practical fields of library science. University libraries, with their rich literature resources, stable student and teacher groups, and educational mission, have become important positions for providing reading therapy services and strengthening the mental health defense line of students. However, the depth and effectiveness of the professionalization of the service fundamentally depend on the professionalization level of the reading therapy librarian team. Based on the theoretical perspective of professional development, this article deeply analyzes the core role of reading therapy librarians in colleges and universities, the composition of their compound abilities, as well as the main predicaments they are currently facing in cultivation and management. On this basis, a full-chain professional cultivation system covering "precise seedling selection - systematic talent cultivation - scientific management - effective empowerment" has been systematically constructed, and a management innovation model including matrix teams, embedded services, intelligent platforms and cross-border collaboration has been proposed. This research aims to provide theoretical references and practical paths for university libraries to forge a professional team of reading therapy that "understands psychology, is proficient in literature, good at service, and capable of research", thereby promoting the transformation of reading therapy services from spontaneous and scattered to scientific and systematic, and deeply integrating them into the overall situation of moral education and mental health education in universities.
Research Review on the Application of Artificial Intelligence in Financial Fraud Detection and Risk Early Warning
As corporate financial environments grow increasingly complex, financial fraud has become a major threat to economic stability. Traditional detection methods are increasingly inadequate in addressing emerging fraud tactics. Leveraging its powerful data processing and pattern recognition capabilities, artificial intelligence technology offers new solutions for financial risk prevention. This paper systematically reviews research on AI applications in financial fraud identification and risk early warning, focusing on analyzing the characteristics and practical applications of key techniques such as supervised learning, unsupervised learning, and deep learning. Practical experience shows that AI-based early warning models can effectively detect abnormal financial indicators and hidden fraudulent activities. Current research still faces challenges including high dependence on data quality and low model interpretability. Future efforts should explore multimodal data integration and lightweight model deployment to promote deeper application and innovative development of AI technology in financial risk control.
Copyright (c) 2025 Journal of economic and management development research https://creativecommons.org/licenses/by-nc/4.0
Industrial Linkages and Legal Governance from an Input-Output Perspective—A Case Study of China’s Textile and Apparel Industry
Based on the《2020 China Input-Output Table》, this paper constructs a complete consumption coefficient matrix for the textile and apparel industry and analyzes its regulatory implications from the perspective of economic law. The study reveals that this matrix not only uncovers the structural dependence of the apparel industry on upstream raw material sectors but also serves as a legal basis for identifying the transmission of market dominance, industrial chain vulnerabilities, joint environmental responsibilities, and product quality traceability. Accordingly, this paper proposes expanding the definition of "dependent dominance" in antitrust law, using high complete consumption relationships as a quantitative benchmark for industrial chain security reviews, and establishing environmental co-governance and product liability penetration mechanisms based on the complete consumption coefficient. These recommendations provide empirical support and pathway guidance for the precise implementation of economic law in complex industrial chains.
Research on the configuration of the digital transformation path of traditional enterprises from the perspective of dynamic capabilities
Under the wave of global digital economy, digital transformation has become an inevitable choice for traditional enterprises to seek survival and development, but its process is full of challenges, and a single element cannot fully explain the complex mechanism of successful transformation. Therefore, this paper takes the dynamic capability theory as the analysis framework and adopts the qualitative comparative analysis method to carry out the dynamic analysis and comparison of two typical traditional enterprises. The study concludes that the success of enterprise digital transformation does not rely on an isolated dynamic capability, but on the existence of diversified effective capability configurations, which correspond to different transformation paths, such as "capability restructuring-led" and "opportunity capture-driven" paths, reflecting the characteristics of different paths to the same destination. This study not only expands the application of dynamic capability theory in digital contexts through the perspective of converged configuration but also provides important practical enlightenment for traditional enterprises to choose the transformation path based on their own conditions.
Research on the synergy mechanism of Chinese liquor brand's overseas market entry mode and brand positioning
This paper takes the development of Chinese liquor brands in overseas markets as the research object, explores the cross-cultural marketing problems under the differences in wine culture, and discusses the synergy between market entry mode and brand positioning. Through theoretical analysis, comparative case studies, model construction, etc., this paper systematically sorts out the impact of different entry models on brand positioning and analyzes how the two jointly improve the success rate of overseas markets. The conclusion drawn from the research is that the effective matching of entry mode and brand positioning can improve resource allocation, strengthen brand adaptability, and provide theoretical support and practical guidance for the internationalization of Chinese liquor brands.
Digitalization of Archives Empowers Supply Chain Resilience: A Game-Theoretic Mechanism and Empirical Study
Against the backdrop of the deep interweaving of the digital economy and supply chain restructuring, archive digitalization, as the core carrier of data factorization, has become a key path to address information asymmetry in the supply chain and enhance its resilience. From an interdisciplinary perspective of management science, this study aligns with the policy orientations of the 14th Five-Year Plan for the Development of National Archives Undertakings and the Guidelines for Improving the Supply Chain Management Level of Manufacturing Enterprises, focusing on the collaborative dilemmas of archive digitalization between core enterprises and small-to-medium-sized suppliers. A two-stage evolutionary game model incorporating variables of outsourcing costs and policy subsidies is constructed to analyze the equilibrium conditions of strategy choices for both parties. The research is validated using panel data of the digital archive processing industry from 2021 to 2025 (market size: 4.8 billion to 16 billion yuan) and the Changhong supply chain case. Results indicate that three key variables drive the collaborative digitalization of supply chain archives: the digital spillover effect of core enterprises (elasticity coefficient: 0.72), the Shapley value-based cost-sharing ratio (45%-65%), and policy subsidy intensity (accounting for more than 15% of collaborative costs). When the collaborative benefit coefficient is ≥ 0.65, both parties will form a stable equilibrium of "co-construction and sharing", reducing the supply chain disruption recovery cycle by 22% and the operational loss rate by 30%. This study constructs an analytical framework of "policy guidance - interest coordination - resilience enhancement", enriches the application scenarios of game theory in supply chain digital transformation, and provides dual references for enterprise practice and policy formulation, meeting the theoretical depth and empirical requirements for publication in CSSCI-indexed journals.
Policy subsidies translation notes for academic standards
Regulation and Freedom: Exploring the Legal Boundaries of Comparative Advertising on Self-Media Platforms
As the trend of e-commerce sales on self-media platforms gradually emerges, the traditional fixed-point advertising mechanism has become outdated, shifting to a model where businesses commission self-media bloggers for internet advertising. Among these, the practice of comparative product promotion by self-media bloggers has become particularly prevalent. Current legal frameworks have yet to provide clear answers on whether such comparative promotional activities by self-media bloggers constitute comparative advertising or how to regulate them under the Anti-Unfair Competition Law of the People's Republic of China. Additionally, there are overlapping contradictions in the regulation of comparative advertising between the Anti-Unfair Competition Law and the Advertising Law of the People's Republic of China. Therefore, addressing the practical challenges in China's legal regulation of unfair comparative advertising, this study proposes a feasible legal framework for identifying such cases to maximize the standardized development of comparative advertising on new media platforms. Ultimately, it aims to drive the thriving growth of China's internet platform economy through institutional innovation.
The Construction of Power Discourse from Ereignis: An Essential Inquiry into the Significance of Artificial Intelligence
It is intuitively evident that the capacity of artificial intelligence to process knowledge efficiently will bring about a profound transformation to the world. Therefore, questioning such intuitive apprehension serves as a foundation for recognizing the nature of this transformation. Such inquiry necessitates a return to essence—that is, a continuous process of questioning—so as to reveal, on the basis of evidence, the direct reasons underlying this transformation. This requires clarifying the most fundamental concept of being, gradually grasping the ontological structure of being-in-the-world, and then comprehending the concept of political being-in-the-world as it pertains to the transformation. Furthermore, in order to explore the "significance" of artificial intelligence’s transformative capacity, the ontological structure grounded in power discourse must be elucidated. On this basis, the origin and direction of this transformation can be clearly discerned.
A Study on the Impact of the Digital Divide in Digital Government Construction on the Equalization of Public Services
This paper aims to explore the complex impact of the digital divide on the equalization of public services during the process of digital government construction. The research points out that the digital divide has evolved from a single "access divide" to a multi-dimensional social stratification phenomenon covering access, skills, and outcomes. Against the backdrop of the increasing digitalization of public services, this divide systematically excludes digital disadvantaged groups such as the elderly, low-income individuals, and rural residents, not only hindering their effective access to basic services like healthcare, education, and social security but also potentially solidifying and exacerbating existing social inequalities. The article argues that the concept of digital inclusion must be placed at the core, and a comprehensive strategy including the construction of integrated online and offline service channels, the enhancement of digital literacy for all, and the improvement of top-level design should be adopted for governance, in order to ensure that the construction of digital government truly serves the goal of universal and fair access.
Research on Legal Separation Schemes and Exercise Rules for Data Ownership, Usufruct, and Profit Rights
As data becomes a new factor of production, the construction of a data property rights system has emerged as a core issue in the development of the digital economy. Based on the theoretical framework of the "tripartite separation" of data property rights and incorporating practices such as data resource management in China's power grid enterprises, this paper explores legal schemes and exercise rules for the separation of data ownership, usufruct, and profit rights. The article analyzes the legal basis for the structural separation of data property rights, proposes a separation path centered on "data resource holding rights, data processing and use rights, and data product management rights," and constructs a system of exercise rules from dimensions such as registration, authorization, circulation, profit distribution, and security regulation, aiming to promote the efficient circulation of data elements and the fair distribution of benefits.
The impact mechanism and prediction of digital economy on carbon emissions——Construction of LSTM model based on double input features
This paper constructs a digital economy index measurement system including four dimensions : digital infrastructure, digital innovation environment, digital industry scale and digital integration degree. Combined with the dual-input feature LSTM deep learning model, this paper systematically studies the development level of digital economy and its impact on carbon emissions in various provinces of China. The study finds that the development of China 's digital economy shows significant regional heterogeneity. The eastern region has a high index and outstanding technological innovation advantages, the central region is relatively balanced and the average annual growth rate is stable, and the western region has significant growth potential. Through Pearson correlation coefficient verification, the digital economy index is significantly negatively correlated with carbon emission intensity. By verifying the substantial impact of the digital economy on carbon emission projections, it provides a scientific basis for differentiated carbon emission reduction policies.
The Matthew Effect Possibly Caused by Light Tax Burden: An Economic Analysis Based on the Land and Population Tax Systems During the "Reign of Wen and Jing" in the Western Han Dynasty
Traditional historical views usually regard the "one-thirtieth tax rate" policy of light corvée and low taxes during the "Reign of Wen and Jing" as a model of benevolent governance. However, this paper aims to re-examine the long-term socio-economic impacts of this policy from the perspectives of institutional economics and fiscal sociology. The study finds that the "one-thirtieth tax rate", as a low-tax policy levied based on land area, led to insufficient national fiscal revenue due to the imbalance between collection costs and benefits. To make up for the deficit, the imperial court turned to strengthen and rely on a fiscal extraction model centered on the poll tax (including Suanfu and Koufu). Under the social condition of extremely uneven land ownership, this dual tax structure of "light land tax and heavy poll tax" produced a significant "Matthew Effect": the large landlord class enjoyed huge dividends from the low land tax but only bore a slight poll tax burden that was mismatched with their wealth; while self-cultivating farmers and tenant farmers, although benefiting from the nominal light land tax, found it difficult for their limited land output to offset the heavy and fixed poll tax pressure. The regressive nature of this tax burden, under the impact of natural disasters and man-made calamities, forced small peasant families into a vicious cycle of "selling land to pay taxes - land annexation - losing land and becoming exiles". This eventually accelerated the concentration of social wealth in the hands of powerful landlords and created a large number of exiles who were out of the state's household registration control, laying the groundwork for the social crisis in the mid-Western Han Dynasty. This paper argues that the merit of a tax policy should not be judged merely by the level of its nominal tax rate, but more by examining its structural position in the entire fiscal system, its collection efficiency, and its ultimate social distribution effect.
Copyright (c) 2025 Journal of economic and management development research