Frontiers in Business, Economics and Management
Frontiers in Business, Economics and Management (FBEM) is a monthly, peer-reviewed journal published by Darcy & Roy Press. The mission of the journal is to provide an academic forum for discussing the issues of international business, economics and management across the world. All articles published are rigorously and fast reviewed meeting the Journal Quality standards.
Campaign Critique: The Strategic “Marriage” of Duolingo and Luckin Coffee (2025)
This article makes a critical public relations analysis of the 2025 joint marketing campaign of Duolingo and Luckin Coffee in China. Although the “marriage” narrative has successfully exploited the subculture and algorithm fluctuations of the network to achieve huge digital exposure and short-term sales surge. But in-depth analysis shows that it has obvious public relations limitations. The campaign simplifies the complex audience into simple “meme-consumers”, prioritizing superficial influence over sustainable community building, and covering up Duolingo’s core educational values through the risk of missing information. The main purpose of this study is to evaluate the key gap between performance digital indicators and long-term reputation capital. To achieve this goal, the evaluation is based on three core theoretical frameworks: spreadable media, pseudo-events, and brand community definitions. Finally, it makes strategic proposals to shift from symbolic narratives to functional and relationship driven ecosystems.
Copyright (c) 2026 https://creativecommons.org/licenses/by-nc/4.0
Research on Optimization of Fresh Agricultural Products Logistics Distribution Path Under New Retail Environment
With the continuous upgrading of household consumption, the demand for personalized, customized and diversified products keeps growing, and public awareness of food safety and quality has been gradually enhanced. Given the fresh attributes and quality requirements of agricultural products, cold chain logistics has emerged at the right moment. To maintain the freshness and quality of products, reduce the risk of deterioration and preserve product value, cold chain logistics imposes strict requirements on storage and transportation environments and higher standards for logistics service quality. At present, in response to national policy guidelines, regions across China have been actively developing cold chain logistics services to reduce cargo damage and loss in logistics processes. Local governments have successively introduced policies and measures to encourage enterprises to develop cold chain logistics, and improved cold chain infrastructure and information sharing management platforms.
Research on Financial Capability Analysis System of Petroleum Enterprises based on Knowledge Mapping
In the process of advancing the strategic goals of carbon peaking and carbonneutrality, the energyindustry constitutes an important field with the largestcontribution to domestic carbon emissions. Green total factor productivityincorporates environmental protection into the measurement of productionefficiency, balancing the scale of economic output, the intensity of resourceconsumption and the level of pollutant emissions simultaneously, and serves as a core criterion for measuring the low-carbon transformation outcomes of the energyindustry. Based on a new research framework, this paper identifies threedevelopmental characteristics of the industry, namely high-carbon lock-in, technological path dependence and regional spatial heterogeneity, and sorts out thetransmission mechanisms from the dimensions of technological innovation driving, market factor economic driving and policy regulation. This study provides practicalreferences for low-carbon transformation projects of energy enterprises, as well astheoretical support for governments at all levels to formulate regulatory and emission reduction supporting policies for the energy industry.
Corporate Social Responsibility Deficits and Governance Pathways of Food-Delivery Platforms: An ESG Perspective
As the digital economy continues to expand, food-delivery platforms have generated substantial economic and social value. At the same time, shortcomings in their environmental, social, and governance responsibilities have become increasingly visible. Drawing on the ESG framework, this paper systematically examines the corporate social responsibility performance of food-delivery platforms. Environmentally, the platform business model contributes to single-use plastic pollution and food waste. Socially, platforms provide inadequate protection for delivery couriers' labor rights, maintain inequitable relationships with merchants, and pose potential risks to consumer rights. In terms of governance, opaque algorithms create further accountability concerns. On the basis of this analysis, the paper proposes a set of governance measures. Externally, government regulation and broader social oversight should be strengthened. Internally, platforms should reform their governance practices, promote green consumption, safeguard stakeholder rights, improve algorithmic transparency, and advance sustainable corporate development.
Research on the Impact of Digital Logistics Capability on Sustainable Operation Performance of E-commerce Logistics Enterprises
Global logistics industries are undergoing widespread digital transformation, which has become a decisive factor promoting sustainable operational improvement for e-commerce logistics service providers. Conventional logistics operation modes are frequently criticized for high operational costs, inefficient resource allocation and insufficient low-carbon operational capacity, making it difficult to accommodate the personalized and high-frequency logistics demands generated by booming online retail markets. Based on valid data collected from 312 domestic e-commerce logistics firms, this study establishes an empirical framework to explore how multi-dimensional digital logistics capabilities affect corporate sustainable operational performance. Four core capability dimensions are adopted as independent variables, including data acquisition and analysis capability, intelligent scheduling optimization capability, cross-enterprise resource collaboration capability and digital service iteration capability. Sustainable operational performance is comprehensively measured from economic, ecological and service quality perspectives. Empirical results derived from reliability verification, correlation analysis and multiple regression estimation demonstrate that all digital capability dimensions positively and significantly enhance corporate sustainable performance. Among these indicators, intelligent scheduling capability presents the strongest predictive power with a regression coefficient of 413, followed by resource collaboration and data analysis capabilities. Further heterogeneity analysis reveals that medium-sized logistics enterprises benefit most from digital upgrading, while micro and large-scale firms display relatively weaker performance improvement effects. This research clarifies the internal driving mechanism of digital empowerment in sustainable logistics operations and provides practical optimization suggestions for enterprises intending to promote digital transformation and long-term high-quality development.
Technology Empowerment, Industrial Integration and Spatial Reconstruction: The Theoretical Logic and Practice of Low-Altitude Economy Empowering Rural Revitalization
The low-altitude economy is accelerating its penetration from urban to rural areas, becoming an emerging force driving rural revitalization. This paper constructs a three-dimensional analytical framework of “technology empowerment–industrial integration–spatial reconstruction” to explain the theoretical logic of the low-altitude economy empowering rural revitalization. Taking Shandong Province as a typical case, this paper systematically reviews its agricultural low-altitude economy development practices, analyzes the realistic bottlenecks from three dimensions—fragile innovation chain, homogenized application scenarios, and lagging institutional supply—and proposes promotion paths with scenario innovation as the driver, technological breakthroughs as the core, and institutional optimization as the guarantee, so as to provide a reference for the low-altitude economy to empower rural revitalization.
Optimization Methods for Fresh-Cut Flower Retail Inventory Management
As a special category of fresh produce, fresh-cut flowers are characterized by high perishability, short shelf life, pronounced seasonality, and volatile market demand, making traditional inventory management methods inadequate for addressing the stochastic nature of floral sales. This study examines the current practices of inventory management in the cut-flower retail sector and identifies critical challenges, including excessive product deterioration, high holding costs, and inaccurate demand forecasting. Adopting the newsvendor model as the core analytical framework and incorporating realistic operational scenarios, this paper develops a demand modeling approach aimed at reducing inventory loss and operating costs while enhancing management efficiency and market competitiveness. The findings offer actionable managerial insights for fresh-cut flower retailers.
Value and Application of Family Offices in Assisting Enterprise Entrepreneurship from the Perspective of Primary and Secondary Market Investment
Family Offices have been developing rapidly in China. According to data from the Hurun Research Institute, by the end of 2025, there will be 2.066 million households with a net worth of more than 10 million yuan in China. The scale of the family office market is now about 13.60 trillion yuan. The Demand for wealth management has shifted from development to preservation and inheritance, and family offices are gradually taking part in the entrepreneurial activities of enterprises. This paper will examine the two levels of the primary and secondary markets, along with the internal mechanisms, value logic and actual results of family offices for entrepreneurial enterprises. Family offices invest long-term capital and strategic resources in the entrepreneurial enterprise through direct investment, follow-on investment as LPs, and incubation in the primary market. Offer liquidity support for the development of enterprises through instruments such as private placement in the secondary market. Family offices have been developing over time and are now more patient and well-integrated into the industry than traditional venture capital. Two typical cases are selected in this paper for comparative study, namely FuSheng Capital and Minghui Investment, and the problems in the two aspects of the regulatory system and professional ability are analyzed.
Reflections on Influencer Communication Operations Affecting Consumer Psychology and Buying Choices in Short-video Track
The behaviour of the public has been changed by the activities of online celebrities. By the end of 2025, there will be about 1.074 billion short-video users and 813 million live-streaming users in China. This paper studies how online celebrities affect consumers' consumption psychology and purchasing behaviour at the individual level, and finds that their operations mainly influence consumers' psychology through three paths: the formation of quasi-social relationships, emotional arousal and scene creation, and thus change purchasing decisions. Online celebrities present professional knowledge and maintain frequent interactions at the trust level to reduce perceived risks; at the consumption-driven level, time-limited discounts, herd behaviour and emotional connections lead to impulse buying. At the same time, due to problems such as false advertising and excessive commercialization, consumer trust has also been eroding; by 2025, the national consumer associations had received about 159,000 complaints of false advertising and inflated the proportion of such complaints to 7.88% of all complaints. There are both strengths and weaknesses in the changes to consumer behaviour for the operation of short-video influencer marketing; new consumption scenarios and simplified decision-making have been created, but at the same time, the risks of information overload and trust issues have also risen. At the same time, the regulation of industrial operations and an improvement in the rationality of consumers need to be carried out.
A Study on the Impact of Natural Language Processing Technology on Enterprises’ New-Quality Productive Forces
This paper uses Chinese A-share listed companies from 2015 to 2023 as a sample to examine the impact of natural language processing technology on enterprises’ new-quality productive forces. The study finds that: 1) the application of this technology by enterprises can significantly enhance the level of new-quality productive forces, with data as a factor and innovation-driven growth playing a mediating role in this process; 2) heterogeneity analysis indicates that the positive effect of this technology on new-quality productive forces is more pronounced in non-labor-intensive firms and in firms with a higher level of digital transformation. The study’s findings provide empirical evidence for understanding the economic consequences of natural language processing technology and offer decision-making guidance for stakeholders.
Intellectual Property Protection and the Innovation Capacity of Chinese Manufacturing Enterprises: A Quasi-Experimental Study Based on the Development of National Intellectual Property Demonstration Cities
The economic benefits of intellectual property protection are closely tied to the design of the institutional framework, and the development of national intellectual property demonstration cities helps foster an external environment conducive to innovation. Based on data from Chinese A-share listed companies from 2008 to 2023, this paper treats the policy on the development of National Intellectual Property Demonstration Cities—enacted in 2011—as a quasi-experimental design. Using a multi-period difference-in-differences model, the study empirically examines the impact of intellectual property protection on the innovation capabilities of Chinese manufacturing firms. The research findings indicate that: (1) Intellectual property protection can enhance the innovation capabilities of Chinese manufacturing firms. (2) Tests of the mechanism reveal that intellectual property protection promotes the enhancement of innovation capabilities in manufacturing firms through two pathways: the innovation-driven effect, which increases R&D investment and improves patent quality; and the market performance effect, which expands market influence and improves financial performance. (3) Heterogeneity tests revealed that the role of intellectual property protection in enhancing the innovation capabilities of manufacturing firms is more pronounced south of the Hu-Huan-Yong Line and among “specialized, refined, distinctive, and innovative” enterprises.
A Study on How Live-Streamed E-commerce Facilitates Strategic Transformation for Companies in Crisis
In the context of digital and intelligent transformation and the post-pandemic business landscape, live-streamed e-commerce has evolved beyond its role as a mere traffic-driving tool to become a core strategic instrument for companies navigating brand crises and industry upheavals. This paper employs a multi-case study approach to deeply deconstruct two distinctly different transformation paradigms: Luckin Coffee (trust crisis-driven) and Oriental Selection (industry disruption-driven). The research reveals that Luckin Coffee built an efficient conversion system for existing customers through “private traffic + high-frequency livestreaming,” while Oriental Selection achieved brand premium and cross-industry rebirth by leveraging “knowledge-based content + personified IP.” By comparing the underlying logic of these two cases, this paper aims to provide a referenceable digital and intelligent survival roadmap for enterprises facing operational challenges.
State-Dependent Structural Shocks and Temporal Generalization in Corporate Default Prediction
This study examines whether financially structured data augmentation can enhance corporate default prediction under strict temporal generalization. Using an anchored temporal split—1999–2004 for training, 2005–2006 for validation, 2007–2009 for stress testing, and 2010–2018 for post-stress evaluation—it first documents a limitation of current practice: static augmentation fails to improve out-of-time discriminative power. The raw baseline attains a future mean AUC of 0.6858, whereas SMOTE and static con- strained augmentation yield only 0.6790 and 0.6798. The paper then introduces a state- dependent structural shock framework that injects economically disciplined deterioration paths into stable-regime training data. The calibrated acute/persistent design achieves the highest future mean AUC, 0.6947, above the regime-feature baseline of 0.6927. Boot- strap evidence supports this AUC gain directionally rather than uniformly, with stronger support in the post-stress window than in the stress window. By contrast, the gain does not extend to future mean PR-AUC. Decision simulation further shows that the practical advantage of shocks is strongest under conservative screening rules rather than aggressive recall. Dynamic stress rehearsal therefore improves out-of-time ranking selectively, but not universally across metrics, baselines, or operating points.
Research on the Path and Performance of Green Transformation of Power Enterprises Under the "Dual Carbon" Goals
The dual carbon strategy has reshaped China’s industrial development logic, rendering green transformation an inevitable choice for energy-intensive firms pursuing high-quality sustainable growth. Given China’s ongoing industrialization, large-scale legacy power assets and rising electricity demand, radical carbon reduction models adopted by Western economies are infeasible; a progressive categorized transition approach is more suitable. Taking Shanghai Electric Power as a representative integrated energy enterprise, this paper draws on transaction cost, categorized governance and triple bottom line theories. It distinguishes internal and external transformation drivers, constructs an integrated system covering unit retrofits, renewable energy expansion, industrial chain extension, digital low-carbon innovation and market-based support, and establishes a three-dimensional performance framework encompassing finance, environment and society. Empirical analysis based on the firm’s long-term operational data reveals that policy-market constraints and internal operational upgrades jointly fuel low-carbon reform. While heavy capital outlays trigger short-term profit pressures, transformation optimizes business portfolios, cuts environmental costs and boosts corporate value in the long run. Relevant findings offer practical references for the low-carbon upgrading of peer thermal power enterprises.
Research on the Construction of First-Class Financial Courses in Undergraduate Colleges and Universities Under the Background of Digital Economy
The rapid development of the digital economy has driven the innovation of financial industry formats, and new fields such as financial technology, big data risk control, and intelligent investment advisory have raised higher requirements for the digital literacy and practical abilities of financial talents. This article combines the characteristics of applied undergraduate universities and colleges, analyzes the impacts and opportunities of the digital economy on the construction of finance courses, and constructs a path for building first-class finance courses that are compatible with the digital economy from five dimensions: curriculum system reconstruction, teaching mode innovation, practice platform construction, faculty team building, and evaluation system reform. It provides a reference for the teaching reform of finance majors in applied undergraduate universities and colleges, and helps cultivate high-quality applied financial talents that meet the needs of the industry.
Analysis of the Impact of ESG Performance on Corporate Financial Performance: A Case Study of China Feihe Limited
Amid the global sustainability movement and China's "dual carbon" commitments, ESG (Environmental, Social, and Governance) has become a pivotal driver of corporate transformation and long-term viability. This paper examines China Feihe Limited to investigate the relationship between ESG performance and financial outcomes over 2022–2025. The results suggest a non-linear relationship: during upswings, ESG contributes to profit growth through cost efficiencies and pricing power; during downturns, however, its inherent cost rigidity tends to amplify earnings volatility. Nevertheless, ESG-driven structural improvements and enhanced financial resilience can buffer downturns. The financial effects of ESG thus vary with the business cycle. Accordingly, firms should capitalize on its amplifying benefits during expansions while proactively managing cost rigidities in contractions, so as to strike a dynamic equilibrium between near-term profitability and sustained value creation.
Artificial Intelligence and Innovation Management: A Research Review
In the era of digitalization, informatization, and intelligent transformation, artificial intelligence (AI) technology is developing rapidly, exerting a profound impact on various fields of the social economy. As a key factor for enterprises and organizations to maintain competitiveness in a competitive environment, the importance of innovation management has been increasingly emphasized. As the core driving force behind the new round of scientific and technological revolution and industrial transformation, AI not only improves production efficiency and optimizes resource allocation but also creates new industrial forms and business models, injecting new momentum into economic development. This paper reviews existing research in the field of AI and innovation management, examining relevant studies from three perspectives: the transformation of innovation management models driven by AI, the reform of organizational structures driven by AI, and the ethical challenges posed by AI applications in innovation management.
Economic Effects of the Widespread Use of Personalised Pricing
This study explores the economic impact of personalised pricing in digital markets, based on microeconomic models and consumer welfare analysis. It argues that, although personalised pricing achieves efficient resource allocation through matching between prices and consumers’ willingness to pay in the short term, it may distort price signals and increase transaction costs in the long term. While improving social welfare, personalised pricing can lead to the transfer of consumer welfare to suppliers, creating concerns about distributive fairness. In addition, the data advantages used for personalised pricing may strengthen platforms’ monopoly power, weakening market competition. Therefore, this study argues that regulatory measures are necessary to balance efficiency, fairness and the sustainability of market development.
Artificial Intelligence and Knowledge Management: A Systematic Literature Review
Against the global backdrop of widespread informatization and intelligent transformation, artificial intelligence (AI) technology, with its advanced data processing and analytical capabilities, is fundamentally reshaping knowledge management models across industries. As a core approach to enhancing organizational innovation capacity and market competitiveness, the integration of knowledge management with artificial intelligence has emerged as a prominent research hotspot in both academic research and practical application. Exploring the disruptive impact of AI on enterprise knowledge management will also become a critical trend in future research. This paper systematically reviews extant research on AI and knowledge management, and synthesizes relevant literature across multiple core dimensions, including knowledge discovery, knowledge flow, knowledge sharing, and knowledge innovation.
A Study on the Collaborative Mechanism of County-Level Digital Supply Chain Finance in Empowering Rural Revitalization
Against the backdrop of the in-depth implementation of the rural revitalization strategy, financial supply at the county level faces significant structural challenges, notably manifested in difficulties in financing for small, medium, and micro enterprises, insufficient coverage of rural financial services, and the poor fit between traditional financial models and the characteristics of the county-level economy. Digital supply chain finance serves as an innovative pathway to resolve these challenges. By establishing an effective coordination mechanism at the county level that integrates the “flow of information, flow of capital, and flow of credit,” it creates a dynamic balance where information generates credit, credit directs capital, and capital feeds back into information—together forming the core operational logic of the county-level digital supply chain finance ecosystem.
Research on Green Logistics Based on Supply Chain Management
This study systematically analyzes the development status of green logistics, and points out that there are outstanding problems in resource utilization, environmental protection, cost benefit and concept technology in the current logistics industry. Based on the theory of supply chain management, this paper puts forward three core countermeasures: one is to construct green supply chain, which realizes efficient coordination of logistics links and reduces resource waste and pollution by optimizing supplier selection, strengthening green supervision and establishing coordination mechanism; The second is to promote green logistics technologies, including clean energy vehicles, intelligent route planning, degradable packaging and digital management systems, to improve operational efficiency and reduce environmental impact. The third is to strengthen the dissemination of green concepts, through the construction of green culture and green consumption guidance for consumers, to jointly promote green logistics practices from both sides of supply and demand. Future research can be further deepened in terms of quantitative cost-benefit analysis, case coverage expansion, and cutting-edge technology tracking.
Low-carbon Distribution Path Optimization of Urban Fresh Logistics Based on Improved Ant Colony Algorithm
With the rapid expansion of fresh food e-commerce and urban instant retail, urban fresh logistics has become a core component of modern urban circulation system. Different from general commodity logistics, fresh cold chain distribution has strict requirements on delivery time, transportation temperature and service quality, which also brings problems such as repeated vehicle routes, high energy consumption and excessive carbon emissions in actual operation. Traditional fresh logistics path optimization mostly takes the shortest distance or the lowest transportation cost as the single optimization goal, ignoring the low-carbon development requirements under the dual-carbon policy, and the classic optimization algorithm is prone to local optimal solutions and slow convergence speed in complex urban traffic scenarios, resulting in poor practicability of optimization results. Aiming at the above pain points, this paper constructs a multi-objective optimization model of urban fresh logistics low-carbon distribution, which takes total distribution cost and total carbon emission as dual optimization objectives, and sets multi-dimensional constraints including vehicle load limit, customer time window and driving speed limitation. On this basis, an improved ant colony algorithm is proposed by optimizing the pheromone update mechanism and heuristic function weight, which effectively makes up for the defects of the traditional ant colony algorithm. Finally, simulation example analysis is carried out with urban fresh distribution scene data. The results show that compared with the traditional algorithm optimization scheme, the improved algorithm can reduce the total distribution cost by 8.2% and the total carbon emission by 11.5%, and significantly improve the convergence efficiency and path rationality. This research realizes the coordinated optimization of economic benefit and environmental benefit of fresh logistics distribution, and can provide effective theoretical support and practical reference for the intelligent and low-carbon transformation of urban fresh logistics enterprises.
Research on the Necessity, Significance and Practical Path of Engineering Ethics from the Perspective of Industrial Engineering and Management
Against the backdrop of deep advancement of Industry 4.0 and intelligent manufacturing, Industrial Engineering and Management (IEM), as a core discipline that optimizes production systems, integrates supply chain resources and improves human factors efficiency, has expanded its practical boundary from pure technical optimization to the coordination of interests among multiple stakeholders. Nevertheless, numerous enterprises ignore engineering ethical norms in the implementation of industrial engineering, triggering a series of problems including labor safety accidents, unfair supply chain operation and impaired occupational health of frontline workers. Taking three core fields of IEM, namely production system optimization, supply chain management and human factors engineering, as research entry points, this paper combines typical cases of ethical misconduct to analyze specific manifestations and negative impacts caused by the absence of engineering ethics. On this basis, it systematically demonstrates the internal necessity of integrating engineering ethics into IEM practices: engineering ethics acts as a fundamental defense line for enterprises to avoid legal risks and safeguard the legitimate rights and interests of all stakeholders, as well as an essential prerequisite for enterprises to achieve long-term sustainable development. Meanwhile, this paper elaborates the multi-dimensional values of engineering ethics from enterprise, industry and social levels, and ultimately constructs a three-dimensional implementation system consisting of "university curriculum reform, establishment of enterprise ethical governance mechanisms and improvement of industrial norms". The study reveals that engineering ethics is not an additional requirement for IEM, but a core standard running through the whole process of system optimization, resource allocation and human factor design, which plays a pivotal role in promoting high-quality development of industrial engineering discipline and the sustainable transformation and upgrading of manufacturing industry.
Case Study on Identification and Management of Internal Control Defects in Listed Companies
The 2024 case of financial fraud involving Evergrande Group has exposed the symbiotic risks arising from systemic failures in listed companies’ internal control systems and the lack of independence in third-party audits. Such incidents not only trigger a crisis of confidence in capital markets but also highlight the limitations of traditional qualitative evaluation methods and the growing trend toward formalism in internal control frameworks. Based on the COSO framework, this study employs the Analytic Hierarchy Process to construct a three-level quantitative indicator system covering the five key components. Taking Evergrande Group as a typical case, the study conducts an in-depth analysis of its financial control deficiencies, inadequate risk assessments, ineffective internal oversight, and issues related to information disclosure, and calculates a comprehensive defect index for quantitative evaluation. The study finds that the root causes of Evergrande Group’s internal control defects lie in the imbalance of its governance structure, the excessive concentration of power among actual controllers, the fundamental conflict between its aggressive expansion strategy and internal control requirements, and a corporate culture overly focused on short-term performance. On this basis, the study proposes recommendations for adjusting key areas and standards of internal control within the real estate industry, outlines a risk-warning mechanism for highly leveraged enterprises, and suggests a design approach for establishing mechanisms to balance the power of actual controllers—providing practical guidance for preventing and addressing internal control deficiencies in listed companies.
A Review of Research on the North-South Divergence of China's Regional Economy
The North-South divergence of regional economies has become an important change in China's regional development pattern in recent years. This paper integrates relevant studies from three perspectives: phenomenal characteristics, causal mechanisms, and policy responses. In terms of phenomena, the mainstream observation in the academic community is that the North-South divergence has intensified while the East-West gap has converged. Since 2012, the economic share of the northern region has continued to decline. Although there have been signs of narrowing in recent years, the North-South gap is still widening in most indicators. Existing studies reveal five causal mechanisms: differences in industrial structure, with northern heavy and chemical industries facing transformation pressure; gaps in innovation capacity, with the South showing more evident innovation-driven effects; differences in marketization processes, which explain the North-South wage gap; the nonlinear role of environmental regulation; and the fundamental influence of geographical location and openness. From the perspective of policy thinking, scholars have proposed an approach that combines “place-based” and “people-based” policies. They advocate giving full play to regional comparative advantages, promoting coordinated interaction among metropolitan areas, improving the transfer payment mechanism, and paying attention to the role of new factors such as the digital economy.
A Study on the Impact of the Digital Economy on Green Total Factor Productivity in the Pearl River Delta Region
Against the strategic backdrop of the deep integration of the ‘dual carbon’ goals and high-quality development, investigating the impact of the digital economy in the Pearl River Delta region on green total factor productivity is a key approach to resolving the contradiction between regional economic growth and ecological and environmental constraints, and to exploring pathways for the green transition of urban agglomerations. Based on panel data from the Pearl River Delta urban agglomeration covering the period 2006–2022, this paper examines, from an urban agglomeration perspective, how the digital economy influences green total factor productivity. The findings reveal that: (1) the digital economy in the Pearl River Delta urban agglomeration has significantly boosted its green total factor productivity; (2) the upgrading of the industrial structure and the efficiency of resource allocation within the Pearl River Delta urban agglomeration play mediating roles, whilst environmental regulations can reinforce the promotional effect of the digital economy on green total factor productivity;(3) The driving effect of the digital economy on the green total factor productivity of cities in the Pearl River Delta region is more pronounced in first-tier cities than in non-first-tier cities; (4) The driving effect of the digital economy on the green total factor productivity of cities in the Pearl River Delta region exhibits heterogeneity depending on the intensity of environmental regulations. Finally, targeted recommendations are put forward based on the research findings.
Research on Digital-Green Integration Boosting the Construction of Modern Urban Energy Systems in China
Based on panel data from 277 prefecture-level cities (2014–2023), this paper examines the impact, pathways, and regional differences of digital-green integration on urban modern energy system construction using entropy-weighted TOPSIS, coupling coordination degree, and two-way fixed effects, mediation, and moderation models. The results show that digital-green integration significantly promotes urban modern energy system development. Green technological innovation serves as a mediating mechanism, while industrial structure upgrading plays a positive moderating role. Moreover, these effects exhibit notable regional heterogeneity.
Research on Practical Dilemmas and Paths of Intergenerational Succession in Family Enterprises
Family enterprises serve as a vital pillar of China’s private economy. As a great number of first-generation entrepreneurs nationwide step into retirement, countless family firms have arrived at a critical stage for intergenerational transfer of power and assets. Intergenerational succession is not merely the handover of equity and management rights, but a comprehensive transmission of tangible assets, social connections and core corporate culture. Currently, these enterprises are trapped in prominent obstacles including inadequate advance planning, ambiguous property rights, trust deficits between families and professional managers, as well as inflexible succession modes. This paper sorts out such universal dilemmas and proposes operable countermeasures from enterprises, families, government and society to facilitate stable handover and long-term sustainable development of family businesses.
When the First Choice Is Unattainable: A Study on the Value Reconstruction Process and Behavioral Intention of Functionally Substitutive Tourism among Generation Z
The global tourism industry is shifting from “destination accessibility” to “experiential substitutability.” Amid consumption moderation, the continuous upgrading of tourist demand has rendered functionally substitutive tourism a key solution to mitigate the supply–demand imbalance in tourism, with the “pingti” (affordable alternative) tourism market developing rapidly. Focusing on functionally substitutive tourism, this study constructs a value reconstruction model involving substitute satisfaction, value reconstruction, expected gap compensation, and behavioral intention, and proposes relevant research hypotheses. Empirical analysis was performed through questionnaire surveys, using SPSS 27.0 and AMOS 23.0 for data processing. The findings show that substitute satisfaction exerts a significant positive effect on value reconstruction; value reconstruction plays a mediating role between substitute satisfaction and behavioral intention; and expected gap compensation positively moderates the relationship between substitute satisfaction and value reconstruction. Finally, practical development suggestions are proposed based on the research results, along with discussions on the study’s limitations and future research prospects.
Modern Human Resource Management in Enterprises
Against the backdrop of economic globalization, big data, artificial intelligence, and intensifying market competition, modern enterprise human resource management has transcended traditional personnel administration, undergoing a profound transformation from routine administrative and control-oriented practices toward strategic, digital-intelligent, and people-centered approaches, becoming a key pillar of corporate core competitiveness. Based on the characteristics of modern enterprise development, this paper systematically analyzes the core connotations and transformation logic of human resource management, identifies current challenges such as lagging digital transformation, imbalance between talent supply and demand, and inadequate incentive mechanisms, and proposes optimization pathways from dimensions including strategic positioning, business empowerment, talent management, and organizational culture building. The aim is to provide theoretical guidance and practical insights for enhancing the effectiveness of human resource management and achieving sustainable development in modern enterprises.