Journal of economic and management development research
Journal of Economic and Management Development Research (ISSN 3105-5907, eISSN 3106-6321) is an academic journal dedicated to advancing theoretical innovation and practical exploration in the fields of economics and management. Committed to serving scholars, researchers, and business managers, the journal focuses on emerging trends in economic development and the frontiers of management innovation, with particular attention to macroeconomic policy, industrial upgrading, corporate strategy, organizational management, and digital transformation. It aims to provide a high-level platform for academic exchange and intellectual dialogue in economics and management research.
A Study on the Trade Effects of Cross-border Settlement of Digital Yuan—Based on Middle Eastern Oil Trade
Against the backdrop of accelerated global de-dollarization, escalating international geopolitical conflicts, and the reshaping of commodity settlement systems, the digital yuan, as my country's legal digital currency, possesses strong applicability in cross-border oil trade in the Middle East due to its technological advantages such as real-time clearing and programmability. This study uses Middle Eastern oil trade as a scenario to analyze the application effectiveness of the digital yuan from the perspectives of settlement costs, efficiency, and exchange rate risk management. It also explores its institutional support effects and practical bottlenecks in conjunction with national policy tools. The research shows that the digital yuan can reduce settlement costs, improve turnover efficiency, and mitigate exchange rate and sanctions risks; however, the imperfect offshore clearing system is a core factor restricting its large-scale promotion. Based on this, this paper proposes optimization paths from aspects such as improving cross-border payment facilities and strengthening the layout of clearing banks. This research enriches the theoretical connotation of the scenario-based application of the digital yuan and provides practical reference for its implementation in cross-border commodity settlement, RMB internationalization, and energy financial security.
digital yuan; Middle Eastern oil trade; cross-border settlement; application effect; optimization path
Copyright (c) 2026 Journal of economic and management development research https://creativecommons.org/licenses/by-nc/4.0
The Impact of Negative Public Opinion on Specialty Agricultural Product Markets and the Restoration of Regional Public Brands: A Case Study of the Fugong Bayberry Incident in Zhangzhou
In the digital media era, short videos and self-media accelerate the cross-regional diffusion of negative food safety information, making regional public brands of specialty agricultural products highly susceptible to widespread public opinion crises triggered by the non‑compliant behaviors of local operators. Taking the public opinion incident in May 2026 involving the illegal addition of prohibited additives to Fugong bayberries in Longhai, Zhangzhou, as a case study, this paper applies the social amplification of risk framework, the tragedy of the commons theory of regional public brands, and information asymmetry theory to systematically analyze the multidimensional impacts of negative public opinion on production and marketing, price systems, and regional brand reputation of specialty agricultural products. It clarifies the transmission mechanism linking opinion diffusion, market panic, and brand trust erosion, identifies deficiencies in current restoration efforts, and constructs a framework for market relief and long‑term brand restoration for fresh specialty agricultural products under public opinion crises, from three dimensions: pre‑risk warning, mid‑event intervention, and post‑event governance. The findings indicate that the intrinsic characteristics of fresh agricultural products—short shelf life, limited geographical differentiation, and fragmented operators—amplify the cascading losses of negative publicity. Sole reliance on ex‑post law enforcement and public communication cannot rapidly rebuild consumer trust; instead, a resilient brand governance system that integrates full‑chain traceability, multi‑actor collaboration, and digital opinion monitoring is essential.
negative public opinion; specialty agricultural products; regional public brands; market impact; brand restoration
Title Research on the Mechanism, Path and Policy Optimization of Rural Revitalization Driven by the Dual Engine of "Cultural Tourism + Agricultural Specialties" in Shandong Province
Against the backdrop of the digital economy, promoting the in-depth integration of cultural tourism resources and agricultural specialty products has become a vital direction for implementing the rural revitalization strategy. Based on the actual development situation of Shandong Province, this paper systematically sorts out the current status of integrated development of "cultural tourism + agricultural specialties", and identifies existing structural constraints including insufficient coordination between cultural tourism resources and agricultural specialties, mismatch between product supply and market demand, low conversion efficiency of live-streaming e-commerce, unbalanced regional development and imperfect supporting systems. From the analytical perspective of "scenario-driven value transformation", this paper constructs a three-stage value transmission model of "cultural tourism traffic attraction — agricultural specialty value conversion — live-streaming value amplification", and elaborates the internal mechanisms of transforming cultural tourism resources into consumption scenarios, upgrading agricultural specialties into branded commodities, and realizing value amplification via live-streaming e-commerce.
文旅融合；农特产品；直播电商；乡村振兴
Research on the Collaborative Development and Utilization of Cross-regional Red Archive Resources in the Context of Big Data: A Theoretical Framework and Practical Exploration Based on the Supply Chain Model (Taking the Eastern Mongolia Region as an Example)
Red archive resources are the core carrier for inheriting the red gene and continuing the revolutionary spirit, and their cross-regional collaborative development is a key path to serve national strategies and promote cultural inheritance. However, current cross-regional red archives face problems such as "information islands", uneven digitalization levels, and weak collaboration mechanisms, which urgently require innovative theoretical and technical support. This paper introduces the theoretical framework of archive information sharing under the supply chain management model, combines the characteristics of big data technology, takes the cross-regional red archive collaboration practice in eastern Inner Mongolia (Hulunbuir City, Hinggan League, Tongliao City, Chifeng City, Xilingol League) as a case, and adopts literature research method, case analysis method, comparative research method and technical path analysis method to systematically explore the value, necessity, current situation and challenges of cross-regional red archive resource collaborative development under the background of big data, and proposes a supply chain-style solution. The research shows that cross-regional red archive resource collaboration can draw on the "data layer-application layer-strategic layer" information sharing hierarchy of the supply chain, and rely on big data technology to build a unified sharing platform, innovate development paths, and improve the collaboration mechanism; its core value is reflected in inheriting red memories, empowering red education, and promoting regional development; the current practice in eastern Inner Mongolia has made breakthroughs in resource integration and joint operation, but still faces challenges such as connectivity (unified digital standards, insufficient technology integration), resource-related issues (weak collaborative trust, security risks), and talent mechanisms. The research provides theoretical reference and practical paths for the collaborative development of cross-regional red archive resources, and is of great significance for promoting the high-quality dissemination of red culture and serving the regional integration strategy in eastern Inner Mongolia.
big data; cross-regional red archives; collaborative development; supply chain management; archive information sharing
Feasibility Study on the Application and Promotion of Energy-Saving and Environmentally Friendly Cooling Towers
Against the background of the worsening global energy crisis and increasingly stringent ecological and environmental protection policies, the industrial cooling system, as a link with high energy consumption and high water consumption, has become a core issue of industrial sustainable development in terms of energy conservation, consumption reduction and green upgrading. Traditional cooling towers generally suffer from problems such as high energy consumption, low cooling efficiency, serious waste of water resources, and prominent noise and drift pollution, which are difficult to adapt to the current requirements of green and low-carbon development. This paper takes energy-saving and environmentally friendly cooling towers as the research object. By analyzing the policy background and market demand of the project implementation, it systematically demonstrates its technical feasibility, economic feasibility, environmental feasibility and social feasibility, identifies the potential risks of project implementation and puts forward countermeasures. The purpose is to provide a scientific basis for the research and development, application and large-scale promotion of energy-saving and environmentally friendly cooling towers, and promote industrial cooling systems to achieve the multiple goals of energy saving, water saving, environmental protection and efficient operation.
energy-saving and environmentally friendly cooling tower; energy conservation and consumption reduction; technical feasibility; economic benefit; environmental benefit
Research on Fair Value Measurement and Accounting Treatment of Equity Transfer Under Common Control Oriented by Commercial Substance
The accounting treatment of equity transfer under common control is a practical difficulty in enterprise group reorganization. The core dispute lies in the choice between book value method and fair value method. This paper takes the equity transfer transaction within a large group as the research object, focuses on the key basis of commercial substance judgment, and demonstrates that the transaction has sufficient commercial substance from three aspects: strategic intention, cash flow impact, and market-oriented pricing. Based on this, an accounting scheme is constructed in which the transferor recognizes the disposal gain and loss, the transferee handles it hierarchically, and the group level offsets the internal gain and loss. The research shows that fair value measurement can take into account the fairness of legal entity information and the neutrality of group overall information, and form synergy with state-owned assets supervision requirements. This paper provides a reference for the accounting treatment of similar transactions and helps the implementation of the principle.
common control; equity transfer; commercial substance; fair value
The Additionality Crisis in China's Green Certificate Market and its Response Mechanism
As renewable energy develops rapidly, the environmental value of green certificates face challenges related to "additionality". This study introduces the international debate on additionality crisis of green certificates into the Chinese context, systematically inspecting the structural characteristics of China's green certificate market and the causes of its additionality deficit. It finds that while policy additionality has improved, economic and environmental additionality remains significantly lacking, with the root cause being the economic competitiveness of renewable energy. By drawing on the policy shifts of international carbon credit mechanisms such as VCS and GS, as well as the practical experiences of the European GOs market and the U.S. REC tiered market, this study argues that the solution to the crisis does not lie in strengthening "additionality" but rather in redefining the functional positioning of green certificates. They should establish a quality-tiered system based on spatiotemporal matching and clarify their functional boundaries with carbon credits, transitioning from traditional carbon offset tools to green consumption credentials.
green certificate; additionality; green power; renewable energy
Research on the Talent Cultivation Strategy for Enterprise Digitalization Based on New Quality Productivity
In the era of new quality productivity, the demand for digital talents in enterprises' digital transformation is increasing day by day. However, there is currently a shortage of digital talents, and the training of talents is disconnected from the demands of enterprises. There is a lack of a systematic training system, and the evaluation mechanism needs to be improved urgently, which seriously restricts the digital transformation and development of enterprises. This article analyzes the necessity and challenges of digital talent training in enterprises under the new quality productivity, and proposes three major strategies: "shaping the ecosystem, linking and empowering, and activating the mechanism": First, the government, enterprises and schools should collaborate to optimize the education platform and create a digital talent training ecosystem; second, innovative training models should be adopted to build a "digital + professional" compound talent training program; third, the evaluation system should be improved to establish evaluation indicators centered on digital capabilities.
new quality productive forces; enterprise digital transformation; digital talents; talent cultivation strategies
From "Resource Supply" to "Ecological Construction": Challenges and Pathways of Digital Empowerment in Teacher Development from an Economic Perspective
Empowering teacher development through digitalization is a crucial driver in building an education powerhouse. Relevant policy documents from the Ministry of Education have outlined strategic plans to promote the digital transformation of the teaching workforce via artificial intelligence technology. However, in practice, teacher digital literacy training faces structural misalignment between "supply-oriented" and "demand-oriented" approaches. From the perspective of complex systems theory in economics, this study examines the paradox of "resource abundance and capability deficiency" coexisting in current digital transformation efforts for teacher development. It identifies the root cause as oversimplifying teacher development as a technical training issue while neglecting the cognitive construction, contextual embedding, and value alignment dimensions of teachers as complex adaptive agents. The research proposes shifting from "resource provision" to "ecological construction," advocating for a new paradigm of teacher development through "human-machine collaboration," refining precise profiling and dynamic assessment of teacher digital literacy, and establishing an empowering governance mechanism for teacher development. This fundamental transformation in teacher development models aims to provide theoretical support and practical pathways for cultivating high-quality teaching professionals in the AI era.
economics; digital empowerment; teacher development; human-machine collaboration
Research on the Citywide Promotion and Public Welfare Sales Model of Heyuan Agricultural Specialty Products from the Perspective of E-Commerce
Against the background of the national rural revitalization strategy and Guangdong Province’s “High-quality Development Project for Hundreds of Counties, Thousands of Towns and Tens of Thousands of Villages,” Heyuan City is rich in agricultural specialty product resources, but still faces problems such as insufficient brand influence, limited sales channels, and short industrial chains. From the perspective of e-commerce, and in combination with the proposal of the Heyuan Municipal Committee of the Chinese People’s Political Consultative Conference titled Proposal on Promoting the Citywide Promotion and Public Welfare Sales of Heyuan Agricultural Specialty Products to Support Rural Revitalization, this paper systematically explores the role and pathways of e-commerce in the citywide promotion and public welfare sales of Heyuan agricultural specialty products from the dimensions of product resource analysis, market opportunity identification, e-commerce model innovation, and policy coordination mechanisms. The study proposes a citywide collaborative e-commerce model centered on “public welfare certificates + e-commerce sales,” and seeks to build an agricultural specialty product e-commerce ecosystem characterized by online-offline integration, integrated brand traceability, and the visualization of public welfare value. The aim is to provide theoretical and practical references for rural revitalization and the digital transformation of agricultural products in Heyuan City.
E-commerce; Agricultural specialty products; Citywide promotion; Public welfare sales; Rural revitalization; Heyuan City
Research on Industrial Effects and Development Management of Artificial Intelligence Technology Diffusion in the Context of Digital Economy
Against the backdrop of the deep interweaving of the digital economy and the new generation of technological revolution, artificial intelligence technology is permeating and diffusing from the forefront of technological innovation to the entire industrial system, becoming a core driving force for industrial structure upgrading and high-quality economic development. This paper takes the digital economy as the research scenario, systematically analyzes the internal mechanism and transmission path of artificial intelligence technology diffusion, identifies its multi-dimensional industrial effects from the dimensions of industrial efficiency, industrial structure, innovation ecology and value chain upgrading, and explores the development management logic and optimization path of artificial intelligence technology adapted to the characteristics of the digital economy in light of current practical problems such as uneven technology diffusion, insufficient application implementation and lagging governance system. The study combines theoretical analysis with empirical testing to reveal the moderating effect of digital economy elements on the efficiency of artificial intelligence technology diffusion, providing theoretical reference and practical enlightenment for promoting the orderly diffusion of artificial intelligence technology, releasing industrial growth momentum, and improving the industrial development management system.
Digital economy; Artificial intelligence; Technology diffusion; Industrial effect; Development management
Research on the Training Mode of College Students' Innovation and Entrepreneurship Talents under the Background of Industry-Education Integration
Against the backdrop of economic restructuring and the continuous advancement of innovation-driven development, society has increasingly higher requirements for high-quality talents with innovative awareness and strong practical abilities. Industry-education integration is one of the essential conditions for connecting the higher education chain and talent training chain with the production, service chain and innovation value creation chain in the industrial system, and it plays a vital role in promoting innovation and entrepreneurship education in colleges and universities. At present, the cultivation of innovative and entrepreneurial talents in colleges and universities is still confronted with such problems as insufficient depth of industry-education integration, curriculum system failing to keep pace with the times, low overall competence of teaching staff, and excessively one-sided evaluation methods. Based on the theory of industry-education integration, this paper analyzes the current situation and problems existing in the cultivation of innovative and entrepreneurial talents in colleges and universities. On this basis, it proposes a four-in-one education mechanism featuring synchronized objectives, shared courses, joint practice promotion, and shared evaluation, and puts forward specific measures in terms of policy support, platform construction, faculty enhancement, and campus culture cultivation. The research aims to provide certain theoretical support and reference for colleges and universities to improve the quality of innovation and entrepreneurship education and boost local economic development.
Industry-education integration; Innovation and entrepreneurship education; Talent training mode; College education; Practical education
Evaluation of County Economic Comprehensive Carrying Capacity in Jiangmen Based on Entropy Weight Method
The evaluation of county economic comprehensive carrying capacity (CECCC) provides a critical foundation for optimizing regional spatial layouts under the "Hundred Counties, Thousand Towns, and Ten Thousand Villages High-quality Development Project" in Guangdong Province. This research develops a four-dimensional index system encompassing economic strength, population, infrastructure, and ecological environment to assess seven county-level units in Jiangmen based on 2024 statistical data. The entropy weight method and linear weighted model are applied to quantify the carrying energy levels. Empirical results demonstrate a significant "strong in the east and weak in the west" spatial pattern, where the economic strength dimension, with a weight of 53.09%, acts as the dominant factor driving system evolution. While the eastern echelon—Xinhui, Pengjiang, and Heshan—maintains prominent carrying advantages, western counties exhibit comparative strengths in the ecological dimension, revealing a functional misalignment in spatial distribution. Robustness tests and policy alignment analysis confirm the mathematical stability and policy relevance of the evaluation model. Consequently, differentiated pathways such as energy level leapfrogging, platform quality improvement, and green transformation are proposed for different county echelons to support precise regional coordinated development strategies.
Entropy weight method; County economy; Comprehensive carrying capacity; Hundred Counties, Thousand Towns, and Ten Thousand Villages High-quality Development Project; Spatial differentiation
Research on the Evolution of Silver Purchasing Power in Chinese History: From the Wealth Illusion of "Carrying 100,000 Strings of Cash" to a Historical Perspective on Monetary Value
The idiom "carrying 100,000 strings of cash and riding a crane to Yangzhou," originating from the Yin Yun Novels of the Southern Dynasties, paints an alluring picture of wealth and leisure. This paper aims to penetrate this literary wealth imagination and systematically comb and analyze the purchasing power changes of silver as the core currency in Chinese history from the Tang to the Qing dynasties from the perspectives of economic and fiscal history. By constructing a long-term purchasing power conversion model based on the price of grain (rice) and combining price, salary, and fiscal taxation records from various dynasties, this study quantitatively evaluates the actual value of one tael of silver in different historical periods and its corresponding estimated value in modern RMB. The research finds that the purchasing power of silver underwent dramatic fluctuations, from an extremely high peak in the Tang Dynasty to a significant decline in the mid-to-late Qing Dynasty. This process profoundly reflects the evolution of China's monetary system, the transformation of the socio-economic structure, and the impact of early globalization and Sino-foreign trade on the country's monetary foundation. Finally, this paper conducts a modern conversion of the actual wealth scale represented by "100,000 strings (taels)" of silver in different dynasties and explains its historical implications.
Silver purchasing power; Historical evolution; Monetary system evolution; Wealth scale conversion
Research on the Theoretical Mechanism and Industrial Model of Digital Economy Empowering China's Silver Economy
At present, the process of population aging in China is accelerating continuously, and the structural contradiction between the consumption demand of the elderly group and market supply has become increasingly prominent. Developing the old-age economy is not only an inevitable choice to respond to the aging challenge, but also an important starting point for cultivating new economic growth points. Relying on information technologies such as big data and cloud computing as well as platform carriers, the digital economy provides a new path for the old-age economy to break through the bottlenecks of traditional development. Based on the core categories of digital consumption and digital services, starting from the technical characteristics and value logic of the digital economy, this paper explores the internal mechanism of its empowerment to the old-age economy, analyzes the direction of the reconstruction of the old-age economy's industrial model from the perspective of the digital economy, and proposes to promote the transformation of the old-age economy from a "material supply-oriented" model to a "material and digital service collaborative-oriented" model through the upgrading of scenario digitalization, service personalization and value diversification, so as to provide theoretical reference and logical support for the high-quality development of China's old-age economy.
Digital economy; Old-age economy; Enabling mechanism; Industrial model; Population aging
How Does "Traffic" Become "Increment"? A Study on the Value Transformation Mechanism of Digital Communication in the Jiangsu City Football League (Suchao) from the Perspective of Humanistic Economics
The Jiangsu City Football League (hereinafter referred to as "Suchao"), as a mass sports event that garnered widespread attention in 2025, has completed a value leap from a regional mass event to a national cultural tourism phenomenon, with 2.2 billion online live broadcasts and 2.43 million on-site spectators. Grounded in the theoretical framework of humanistic economics, this paper systematically investigates the intrinsic mechanism through which "traffic" is transformed into "increment" within the digital communication of Suchao. The study reveals that Suchao has constructed a triple transformation mechanism of "cultural narrative—emotional capital—symbolic consumption": deconstructing regional symbols through "memes" to achieve communication breakthrough; consolidating emotional identification via the synergy of large and small screens and user co-creation; and integrating cultural, tourism, sports, and commercial scenarios through the "ticket stubs economy," ultimately completing the value leap from traffic aggregation to economic increment. Compared with existing studies that predominantly focus on descriptive analyses of phenomena such as "Cunchao" (Village Super League) and "Harbin," the marginal contributions of this paper are as follows: first, introducing humanistic economics theory into the research of sports event communication, thereby expanding the application scenarios of this theory; second, proposing the triple transformation mechanism of "cultural narrative—emotional capital—symbolic consumption," which reveals the unique transformation logic of mass sports events distinct from professional events; third, refining the concept of "ticket stubs economy," providing a new analytical tool for traffic economy research. This "traffic-increment" transformation model elucidates the practical logic of "humanities empowering economy" for mass sports events in the digital economy era and offers an empirical sample for the theoretical construction of humanistic economics.
Jiangsu City Football League (Suchao); Humanistic economics; Traffic transformation; Digital communication; Regional culture
Research on Human Resource Development in the Xinhui Tangerine Peel Industry: Current Status, Challenges, and Countermeasures
Under the deepening implementation of the rural revitalization strategy, the Xinhui Tangerine Peel industry, as a key modern agricultural cluster prioritized under Guangdong Province’s "Hundred-Thousand-Myriad Project," has evolved from a traditional single sun-drying processing model to a billion-yuan-level modern industrial cluster integrating planting, processing, R&D, cultural tourism, and e-commerce. However, with the accelerating transition toward high-quality development, the industry faces core challenges in human resource development, including structural talent shortages, mismatches between workforce competencies and industrial demands, and inadequate mechanisms for talent cultivation, safeguarding, and incentives. Existing research primarily focuses on the industry’s developmental trajectory, branding strategies, and market analysis, lacking systematic exploration of its human resource status, structural characteristics, and optimization strategies. This study systematically analyzes the current human resource landscape of the Xinhui Tangerine Peel industry, synthesizes insights from industrial practices and existing research, and proposes feasible optimization strategies across three dimensions: talent recruitment and workforce allocation, improvement of talent training systems, and refinement of safeguard and incentive mechanisms. The findings aim to provide practical support for resolving talent bottlenecks and achieving the industry’s leap from a billion-yuan to a trillion-yuan industrial cluster, while also offering actionable references and theoretical insights for optimizing human resource management in China’s specialty agricultural industries and advancing rural revitalization through talent-driven strategies.
Xinhui tangerine peel; Human resources; Talent structure; Rural revitalization; Industrial chain; Talent cultivation; Industrial optimization and upgrading; Talent incentive mechanisms; School-Enterprise collaboration; New-Generation agricultural professionals; Agricultural products
Iterative Upgrade and Practical Exploration of Wuhu's Innovation and Entrepreneurship Talent Policies —— From the Perspective of Building a Youth-Development-Oriented City
How to achieve the mutual development between the healthy growth of young people and the steady development of cities is the focus of building a youth-development-oriented city. As an important link for urban development, innovation and entrepreneurship talent policies will directly affect talent agglomeration and the driving force of urban development. Taking Wuhu City as the research object and from the perspective of building a youth-development-oriented city, this paper systematically sorts out the relevant innovation and entrepreneurship talent policies in Wuhu. From the initial exploration of talent cultivation to the iterative upgrade of relevant policies, this paper summarizes the achievements in talent agglomeration and industrial upgrading since the implementation of the policies. Meanwhile, it points out the existing challenges such as insufficient precise matching and imperfect long-term mechanism, puts forward reasonable optimization paths, and provides new development directions and reliable references for other similar cities to promote the construction of youth-development-oriented cities.
Youth-Development-Oriented city; Innovation and entrepreneurship talent policy; Wuhu city; Talent agglomeration; Policy optimization
Mechanisms and Pathways through which Digital Infrastructure Aid Empowers the Economic Resilience of Recipient Countries
With the acceleration of global digitalization, digital infrastructure has become a pivotal factor in fostering the economic resilience of developing countries. This study explores the mechanisms through which digital infrastructure aid enhances the economic resilience of recipient countries and analyzes the specific pathways for implementing these mechanisms. The research suggests that digital infrastructure can help recipient countries better cope with external shocks and achieve sustainable economic development by boosting productivity, facilitating information flow, stimulating enterprise growth, and improving social welfare. To achieve these goals, the study proposes pathways such as policy support, financial investment, technology transfer, cross-border cooperation, and localized implementation to maximize the enabling effects of digital infrastructure aid, thereby strengthening the economic resilience of recipient countries.
Digital infrastructure; Economic resilience; Foreign aid; Technological innovation
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.
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.
Blockchain-Enabled Risk Governance in Supply Chain Finance: Mechanism Analysis and Policy Optimization Pathways
With the rapid development of the digital economy, supply chain finance, as an important financial model for serving the real economy and alleviating financing constraints faced by small and medium-sized enterprises (SMEs), has become a key tool for promoting industrial chain collaboration and optimizing resource allocation. However, in practice, supply chain finance still faces challenges such as difficulties in verifying the authenticity of trade backgrounds, instability in credit transmission from core enterprises, pronounced information asymmetry, and insufficient efficiency in multi-stakeholder coordination. These issues lead to the intertwined accumulation of credit risk, operational risk, and compliance risk, thereby constraining the sustainable development of supply chain finance. Blockchain technology, characterized by distributed ledgers, immutability, traceability, and smart contracts, provides a new technological foundation and institutional support for risk governance in supply chain finance. Based on the logic of risk generation in supply chain finance, this paper systematically reviews major risk types and risk transmission mechanisms, and constructs an analytical framework for blockchain-enabled risk governance. It examines how blockchain influences risk identification, risk prevention, and risk accountability from four dimensions: information credibility, process transparency, credit constraints, and regulatory coordination. The study argues that blockchain not only reduces information asymmetry and moral hazard in supply chain finance transactions, but also facilitates the formation of a collaborative governance system, enabling a shift in risk governance from ex post remediation to ex ante early warning and process-based control. To enhance the practical effectiveness of blockchain-enabled risk governance in supply chain finance, this paper further proposes policy recommendations including promoting standardized data-sharing mechanisms, improving smart contract rule systems, strengthening credit constraints on core enterprises, and establishing a coordinated regulatory technology framework, with the aim of providing theoretical support and practical reference for the high-quality development of supply chain finance in China.
Blockchain; Supply chain finance; Risk governance; Credit mechanism; Smart contracts; Regulatory technology
Artificial Intelligence Empowerment for Industrial Innovation and Value Chain Upgrading: Mechanisms and Pathways
Against the backdrop of the rapid development of the digital economy, artificial intelligence (AI) has increasingly penetrated the research and development, production, circulation, and service stages of industrial value chains, becoming a key driver for industrial innovation and value chain upgrading. AI enhances information processing, optimizes resource allocation, and reshapes business models, thereby improving industrial collaboration, innovation capacity, and value creation. While policy initiatives and market demand jointly promote digital transformation and value chain restructuring, the uneven maturity of AI technologies, disparities in enterprise digital capabilities, and insufficient data collaboration across value chains still constrain AI-enabled benefits. This study analyzes the mechanisms through which AI empowers industrial innovation and value chain upgrading from the perspectives of technological element restructuring, organizational capability enhancement, and value chain structural evolution, and further proposes pathways concerning data governance, intelligent technological integration, and innovation ecosystem collaboration. The findings suggest that differentiated strategies should be formulated according to industry characteristics and enterprise development stages, in order to promote deep digitalization and value chain modernization in the real economy.
Artificial intelligence; Industrial innovation; Value chain upgrading; Digital economy; Organizational capability