Abstract Against the backdrop of China's accelerated global expansion of production capacity, technology and standards, vocational education's overseas outreach is evolving from fragmented initiatives into a comprehensive strategic deployment. Drawing upon current overseas educational practices of higher vocational institutions, this paper identifies four key bottlenecks: inadequate implementation of national strategies due to strategic gaps; standardization hindered by overly uniform teaching materials; instructional disruption caused by insufficient dual-competence faculty; and accumulated brand risks stemming from the absence of evaluation and mutual recognition mechanisms. To address these challenges, a four-pronged macro-level pathway is proposed: tiered and categorized orientation, open-source knowledge communities, global faculty development programmes, and cloud-based quality assurance mutual recognition. This framework employs negative lists, modularized teaching materials, blockchain-based quality control, and multilateral certificate mutual recognition to achieve cross-border synergy between educational and industrial chains. The research provides a replicable framework for advancing vocational education overseas from project-based initiatives to comprehensive strategies, serving both international industrial capacity cooperation and enriching global vocational education governance with Chinese solutions.

Abstract The core of constructing the youth development index evaluation system in Jilin Province lies in defining six core dimensions around the key points of policy orientation, the actual needs of young people, and data availability. This paper first sorts out relevant literature to select preliminary indicators, then conducts expert consultations to improve the indicator system, and finally verifies the connotation of indicators to eliminate redundancy. The analytic hierarchy process (AHP) is adopted to determine the weight of each indicator, thus forming a three-level indicator evaluation system. In addition, four application strategies including data support and precise application are put forward. It is expected that these research results can quantitatively reflect the current situation of youth development in Jilin Province, identify the weak links in development, and provide a quantitative basis for the precise adjustment and effective implementation of regional youth development policies.

Abstract The integrated construction of ideological and political courses in primary, secondary and tertiary education in the new era is a systematic project for implementing the fundamental task of fostering virtue and nurturing talent. Localization empowerment is the key path to enhancing the effectiveness of talent cultivation. Hainan has fully utilized the development opportunities brought by the construction of a free trade port and its unique regional cultural endowment to build a characteristic ideological and political education integration ecosystem with the core framework of "overall planning and full-domain coordination". This system has been established through top-level institutional design, curriculum system reconstruction, innovative coordination mechanisms and the construction of practical platforms. Starting from the core connotation of the localized talent cultivation ecosystem, this paper systematically analyzes Hainan's key measures in the integrated development of ideological and political courses, including policy supply, curriculum innovation, teacher training and practical empowerment. At the same time, it summarizes the practical experience of "regional resource transformation, stage-by-stage connection and multi-party coordinated linkage", thus providing a practical example for the integrated development of ideological and political courses in border ethnic areas and reform frontier areas in the new era.

Abstract In order to establish an overall customer experience improvement path for Zhongtai Hotels under intelligent conditions, the methods of collecting process parameters, quantifying behavioral characteristics, modeling experience perception and conducting multi-scenario verification were adopted. The processing procedures were analyzed to form a system structure consisting of touchpoint data, indicator system and intelligent strategies for nodes. The results show that the multi-node optimization and experience perception model are more stable, providing a replicable basis for the promotion of intelligent services.

Abstract In today 's era, digital transformation has become a key force to promote the innovation of agricultural economic management. It not only provides a more scientific and accurate basis for agricultural decision-making, but also breaks through the limitations of traditional marketing models and promotes the vigorous development of agricultural E-commerce. However, in the process of digital transformation, agricultural economic management is also facing challenges such as imperfect digital infrastructure construction, high cost of digital technology application, and poor dissemination of agricultural digital information. The purpose of this paper is to explore the innovation strategy of agricultural economic management from the perspective of digital transformation. By strengthening the construction of digital infrastructure, reducing the cost of transformation, unblocking digital information system, standardizing data management and improving farmers ' digital literacy, we can promote the modernization transformation of agricultural economic management, realize the co-construction and sharing of agricultural data resources, and inject new vitality into the sustainable development of agriculture.

Abstract This study analyzes higher education budget management modes from the perspective of control rights. Corresponding reform implications are proposed: first, enhance the autonomy of resource allocation for universities and their secondary colleges/departments, realize the transformation of higher education fiscal budget management from "compliance-oriented" to "performance-oriented", and achieve the shift from "university-run colleges" to "college-run university"; second, adjust the structure of higher education fiscal appropriation, increase the proportion of autonomous or quasi-autonomous funds, and strengthen the integration and coordination of project funds.

Abstract In recent years, the relationship between China and Belarus has been in the spotlight. The strategic cooperation between China and Belarus, centered on the construction of the Great Stone Industrial Park, a joint project of China and Belarus under the Belt and Road Initiative, has become a key engine for China's overseas regional development. However, there have been many speculations in the West about the cooperation between China and Belarus, and some Western politicians and media have ignored the results of the cooperation and made false accusations of "geopolitical expansion" and "debt trap" in the cooperation between China and Belarus. In this regard, it is necessary for us to clarify the source with objective facts. In order to promote the sustainable development of China-Belarus relations, the two sides are constantly expanding the space for common interests in the political, economic, tourism, transportation, and humanities fields, with a view to promoting the common interests and development of both sides. In order to safeguard the security of their common interests, the two sides need to treat each other with sincerity, strengthen mutual trust, always adhere to the principles of equality, mutual benefit and win-win cooperation, and respond to false accusations with facts as China and Belarus join hands to build a common road of development.

Abstract Against the backdrop of the digital economy becoming the core engine of global economic development, digital industry agglomeration, as a spatial manifestation of the deepening of industrial division of labor, has become an important support for promoting high-quality economic development. Based on the dual perspectives of innovation-driven and structural upgrading, this paper systematically analyzes the impact mechanism of digital industry agglomeration on high-quality economic development. The study finds that digital industry agglomeration strengthens the innovation-driven effect and promotes technological breakthroughs and achievement transformation through the spatial agglomeration and efficient allocation of innovative factors such as talents, technology, and capital; at the same time, it promotes the rationalization and upgrading of industrial structure with the help of industrial chain collaboration and digital technology penetration, thereby empowering high-quality economic development from multiple dimensions.

Abstract As social and environmental problems such as ageing populations, extreme weather and wars have become more prominent, the previous development pattern has been considered wrong and sustainable development is recognized globally. As an extension of the concept of sustainable development, ESG investment has been paid more and more attention. The thesis selects Bloomberg ESG, stock returns and financial data of Chinese listed companies from 2015 to 2021 as research samples, combines Fama-French five-factor model and fixed effects model and then introduces ESG rating factors to analyze the impact of ESG investment on stock returns of Chinese listed companies. The empirical results show that the ESG investment concept has begun to be accepted by China's stock market, and companies with different ESG performance can be distinguished by the market. Finally, this paper puts forward suggestions to the relevant subjects from the aspects of investment decision, information disclosure and evaluation system, hoping to further promote the development of ESG investment in China.

Abstract With the widespread adoption of new energy vehicles (NEVs) and the significant increase in the localization rate of the automotive industry, the tax-free car policy for overseas returnees is currently facing severe "functional failure." This paper analyzes the disconnection between the regulatory logic of "imported parts" and the current industrial reality, which hinders the inclusion of domestic brands. Furthermore, it examines how universal green tax incentives and market price wars have triggered a crowding-out effect and price inversion regarding the exclusive benefits of the policy. To restore the incentive efficacy of the policy, this paper suggests abolishing the restriction on imported parts, shifting the approval focus to tax authorities, and extending the policy's validity period to align with the development of New Quality Productive Forces.

Abstract As the digital economy has become a core driving force of high-quality corporate development, the impact of digital transformation on organizational resilience has increasingly attracted attention from both theoretical and practical perspectives in management research. Organizational resilience represents a firm's comprehensive capability to continuously adapt, recover, and reorganize in uncertain environments, while technological innovation serves as a critical mechanism linking digital transformation to the enhancement of organizational resilience. Drawing on dynamic capability theory and the resourcebased view, this study integrates existing literature and empirical findings to construct a logical framework explaining how digital transformation promotes organizational resilience. The mediating role of technological innovation is emphasized, and corresponding managerial and policy implications are proposed.

Abstract Under the background of the "dual carbon" goals and sustainable development, exploring the situational and psychological mechanisms influencing residents' green consumption behavior is of significant practical importance. Based on situational theory and the perspective of responsibility ethics, this study constructs a research model in which situational factors serve as the independent variable, environmental responsibility as the mediating variable, and green consumption behavior as the dependent variable, and conducts empirical testing. Questionnaire survey data were collected from residents in multiple regions. The results show that situational factors have a significant positive effect on green consumption behavior; situational factors significantly enhance individuals' environmental responsibility; and environmental responsibility plays a partial mediating role between situational factors and green consumption behavior. The findings indicate that external situations do not directly translate into green consumption behavior, but rather influence consumption decisions by activating individuals' sense of environmental responsibility and prompting them to consider environmental consequences. These conclusions deepen the understanding of the formation mechanism of green consumption behavior and provide practical implications for promoting green consumption through situational design and responsibility activation.

Abstract Rural revitalization has become a core policy for promoting comprehensive rural development in China. As an essential force for knowledge innovation, talent cultivation, and technology promotion, higher education institutions play a key role in this process. However, the current service models employed by universities face challenges such as inadequate path innovation, disconnection from local needs, imperfect cooperation mechanisms, and weak internal management systems. These issues result in inefficient and delayed service outcomes. This paper analyzes these problems and, drawing from domestic and international successful experiences, proposes countermeasures for optimizing path innovation and mechanism construction.

Abstract Against the backdrop of the digital economy, the in-depth application of big data technology is driving profound changes in the marketing field. Precision marketing strategies based on multi-dimensional consumer data break through the homogeneous limitations of traditional marketing and influence consumer behavior in various aspects. Based on the practical application of big data technology, this paper sorts out the core implementation strategies of precision marketing from the technical paths and data processing logic of consumer behavior analysis, explores the reshaping mechanism of these strategies on consumers' decision-making, selection, interaction and other behaviors in the process of implementation, and at the same time analyzes the practical problems and optimization directions in practice. Big data-driven precision marketing realizes the efficient allocation of marketing resources, and its two-way interaction with consumer behavior has become an important feature of the development of the consumer market in the digital age. Grasping the boundary of technological application and the balance of value is the key to the sustainable development of this model.

Abstract In the digital economy, high return rates for online shopping have made return logistics a critical factor in E-commerce development, yet existing evaluation systems struggle to accommodate the unique characteristics of reverse logistics for returns. Taking Taobao as the research subject, this paper constructs a four-dimensional evaluation system for return logistics service quality, encompassing return policies, communication quality, process quality, and consumer costs. Factor analysis was employed to determine the weighting of indicators. Findings indicate that return policies and communication quality serve as core primary indicators. Among secondary indicators, timely customer service response and reasonable return reason stipulations carry higher weights, while consumers exhibit lower sensitivity to process execution and cost allocation details. These results provide insights for E-commerce platforms to optimize return logistics services and enhance consumer trust and loyalty.

Abstract Against China's "Dual Carbon" goals, Green Supply Chain Management (GSCM) is critical for high-quality economic development and ecological civilization. Based on the Resource-Based View and Institutional Theory, this study builds a model to examine how GSCM affects corporate economic and environmental performance, with an empirical analysis of 328 Chinese manufacturing enterprises. Results show that green procurement, green production and reverse logistics significantly improve both environmental and economic performance, where environmental performance partially mediates the GSCM–economic performance link. "Deep green" management focusing on life-cycle emission reduction enhances long-term competitiveness more effectively than compliance-oriented "light green" management. Government environmental regulation positively moderates the relationship between GSCM and corporate performance. The findings offer empirical support for enterprises to overcome cost and technical barriers, and drive industrial upgrading from "light green" to "deep green" development.

Abstract As an advanced culture formed in the process of the party leading the people in revolutionary construction, red culture has an obvious role in promoting rural economy, culture, society and ecology. Taking the southwestern region of Shandong as the research object, this paper focuses on the interface governance problem in the empowerment of red culture in rural revitalization, and puts forward a systematic reconstruction strategy for the dual-layer interface constraints. Activate the value of red resources, realize the two-way improvement of red culture dissemination and rural economic development, and explore sustainable momentum and development paths for rural revitalization.

Abstract In the context of the new development pattern for western China in the new era, properly guiding ethnic students who studied elsewhere to return for employment can not only address the current employment challenges faced by college graduates but also promote the revitalization and development of ethnic regions. The study first constructs a model of influencing factors for returning employment among ethnic students who studied elsewhere based on Maslow's hierarchy of needs and the push-pull theory. Through chi-square analysis, it preliminarily identifies gender and major as the key factors affecting their willingness to return for employment. Subsequently, binary logistic regression analysis using SPSS 26.0 statistical software reveals that individual attitudes, media promotion, institutional guidance, and government talent policies significantly positively influence their return employment intentions. Finally, the study proposes countermeasures: universities should enhance students' adaptability through guidance, media should boost social penetration through publicity, and governments should improve policy attractiveness through coordinated efforts.

Abstract With the continuous deepening of China's aging population process, the elderly care industry is facing dilemmas such as supply imbalance, talent shortage and insufficient efficiency, and high-quality development has become an inevitable choice. As the core of the new generation of information technology, artificial intelligence, with its advantages of intelligence, high efficiency and personalization, provides a new driving force for the transformation and upgrading of the elderly care industry. Combining the current situation of China's elderly care industry and the practical application of artificial intelligence, this paper analyzes the core value and existing bottlenecks of its empowerment, explores feasible empowerment paths and optimization strategies, and provides theoretical and practical guidance for the transformation of the elderly care industry from "basic security" to"diversified quality".

Abstract Against the backdrop of global energy transition and restructuring of the chemical industry chain, sulfur—A critical industrial byproduct and chemical feedstock—Is undergoing profound shifts in its market supply-demand dynamics. China's sulfur market currently exhibits high external dependency and severe regional supply-demand mismatches. This paper analyzes the structural contradiction of "excess liquid, insufficient solid" in product composition and logistics bottlenecks faced by enterprises, based on the "tight balance" status of the domestic sulfur market and using the practical case of a natural gas purification plant in northeastern Sichuan. It applies supply-demand equilibrium theory and the 4Ps marketing theory. The study proposes implementing a capacity optimization strategy of "solid-liquid adjustment and solidbased flow maintenance." This involves expanding into high-value-added niche markets like new energy materials and establishing a digital-intelligent production-sales coordination system. These measures aim to maximize sulfur resource value and enhance the enterprise's risk resilience.

Abstract This paper explores fund return prediction and the performance of long-short strategies via machine learning, taking Chinese open-end equity and partial equity hybrid funds as samples. We construct 13 fund characteristic anomaly factors and verify their explanatory power for fund returns using FamaMacBeth regression. Adopting the LightGBM model with empirical hyperparameters and a 12-month rolling window framework, we predict fund returns, sort funds into ten groups by predicted returns, and build a long-short portfolio by going long on the top group and short on the bottom one. Empirical results reveal a significant return gradient effect across the ten groups. The study verifies the feasibility and profitability of the LightGBM-based long-short strategy, and provides targeted investment implications for different types of investors, highlighting the value of fund characteristic anomaly factors in portfolio optimization.

Abstract The establishment of the concept of green construction is a major change in the concept of sustainable development in the construction industry, but there are some problems in the construction site management under green construction, such as insufficient awareness of green construction, fragmented implementation, superficial technology application and so on. Starting from the value turn of green construction and the practical dilemma, this paper puts forward a five in one construction site management innovation mode of "concept Remodeling - organization restructuring - process reengineering - technology integration - Evaluation driven". This paper studies how to change the green concept from passive compliance to active value creation, break the hierarchical barriers to achieve collaborative development, integrate the circular low-carbon thinking, form the information feedback system, and strengthen the sustainable incentive constraints to promote the realization of the green goal, hoping to bring new enlightenment to the green development of the construction industry in the future.

Abstract The development of livable, prosperous, and harmonious rural communities represents a strategic decision in China's comprehensive implementation of the rural revitalization strategy for the new era. This initiative holds significant theoretical and practical implications for studying rural development approaches. Digital inclusive finance has broken through traditional financial constraints, creating new opportunities for advancing rural revitalization and promoting high-quality agricultural development, thereby injecting fresh momentum into China's rural progress. Based on panel data from 30 provinces (2011-2020), this study constructs an indicator system for rural development metrics, employs two-way fixed effects and System GMM estimation methods, and examines the impact of digital inclusive finance on rural construction. Findings demonstrate that digital inclusive finance positively contributes to the development of livable, prosperous, and harmonious rural communities. The research provides practical references for policymakers to dynamically monitor digital financial development and enhance rural digital efficiency, ultimately advancing rural revitalization efforts.

Abstract Promoting sustainable village development constitutes a critical theoretical and practical imperative for advancing China's rural revitalization and common prosperity strategies. Collective efficacy emerges as a pivotal determinant influencing sustainable village development, with the collective institutionalization mechanism serving as the core operational framework to achieve such efficacy and drive sustainable progress. The collective governance structure of villages stands as a crucial variable affecting the implementation of this institutionalization mechanism.Our analysis reveals a structural paradox in institutional operations: During the initial and growth phases of collective economic development, when the governance structure manifests complex operational features characterized by separate Party, government, and economic organizations with decentralized checks and balances, the implementation of collective institutionalization mechanisms encounters significant impediments. Under such circumstances, the realization of collective efficacy becomes unattainable, thereby undermining the prospects of sustainable village development. Conversely, when the governance structure demonstrates integrated and streamlined operational characteristics featuring coordinated interactions among distinct yet synergistic Party, government, and economic entities, the collective institutionalization mechanism can be effectively implemented. This operational paradigm facilitates the achievement of collective efficacy and propels sustainable village development.This structural analysis underscores the critical importance of optimizing village governance models to align with developmental phases, particularly through establishing collaborative mechanisms that maintain organizational distinctions while enhancing functional integration among key governance actors.

Abstract Against the GBA's high-quality development, vocational education is key to talent supply and industrial upgrading. Based on relevant theories, this study explores its industry-university-research resource co-construction and sharing dilemmas, constructs the innovative mechanisms and targeted paths, providing theoretical and practical references for vocational education-region integration and GBA vocational education high-quality development.

Abstract As the backbone of urban functionality, public transportation serves as a vital platform for safeguarding citizens 'mobility rights and demonstrating urban governance capabilities. Its service quality directly impacts the realization of public interests and sustainable urban development. From a public management perspective, enhancing transportation service quality involves not only upgrading infrastructure but also standardizing service processes, innovating governance mechanisms, and balancing supply-demand relationships. By optimizing governance systems, strengthening collaborative mechanisms, and precisely addressing needs, this paper proposes strategies to transform urban public transportation services from mere availability to excellence, better aligning with citizens' travel demands and urban development objectives.

Abstract From the perspective of consumer perception,this paper constructs a four-dimensional framework of Green Innovation.Sample data were collected through questionnaire surveys,and factor analysis,reliability, and validity tests were used to systematically verify the structural rationality and measurement quality of the scale.The results show that the Green Innovation scale has a clear and stable four-dimensional structure,with each dimension demonstrating good reliability and validity.This study not only provides a reliable tool for the empirical measurement of consumer-perceived Green Innovation but also lays a measurement foundation for subsequent exploration of the market mechanisms and policy effects of Green Innovation.

Abstract Industrial digitalization has restructured labor market demands, placing individual innovation capability at the center of human capital strategy in vocational education. Drawing on creative self-efficacy theory and self-determination theory, this study proposes a framework in which AI empowerment drives innovation capability through cognitive liberation, efficacy construction, and knowledge contextualization, while gamified industry-education collaboration (GIEC) amplifies these effects by fulfilling students' basic psychological needs.Furthermore, this study uses the "613" industrial system of Yangzhou City, China as an illustrative policy context to demonstrate the institutional activation effect of regional industrial strategies on these mechanisms. It also proposes three actionable practice models, offering practical guidance for vocational education administrators, policymakers, and corporate partners.

Abstract Against the digital transformation of vocational education, this study integrates generative AI (GenAI) and the BOPPPS model to build a new interactive ecology for vocational business English smart classrooms. Adopting a mixed-methods design with 116 business English students, the research verifies that GenAI-assisted BOPPPS teaching significantly improves classroom interaction, student engagement and academic performance, and solves the problems of single interaction, insufficient business scenarios and inadequate personalized guidance. This study constructs a feasible GenAI-BOPPPS framework, providing references for the intelligent reform of vocational business English teaching.

Abstract Based on panel data from 107 prefecture-level cities in the Yangtze River Economic Belt spanning from 2011 to 2023, this paper employs the Peking University Digital Inclusive Finance Index to examine the effect of digital inclusive finance on the urban-rural income gap in the Yangtze River Economic Belt. The study finds that the development of digital inclusive finance can effectively curb the urban-rural income gap. The government should fully leverage the role of digital inclusive finance in narrowing the urban-rural income gap by providing low-income groups with higher-quality financial services and income-increasing channels.

Abstract The digital economy is a crucial strategic resource for high-quality development at the national and regional levels, and its development has significantly boosted regional entrepreneurial vitality. This paper uses panel data from 282 prefecture-level cities in China from 2011 to 2021 to examine the impact and mechanism of the digital economy on entrepreneurial activity. The study finds that the development of the digital economy significantly increases urban entrepreneurial activity, with alleviating financing constraints and optimizing the business environment being important transmission pathways for this impact.

Abstract Strategic emerging industries serve as the core driving force propelling future economic and social progress. As a pivotal manufacturing hub within the Greater Bay Area, Foshan bears the critical responsibility of transitioning from a "major traditional manufacturing city" into a "powerful city of technological innovation." Employing a three-dimensional analytical framework, encompassing technology, industrial clusters, and policy. This paper meticulously examines the "three highs and three lows" challenges encountered by Foshan's strategic emerging industries on their path toward high-quality development. Furthermore, drawing upon exemplary domestic and international practices, it proposes a collaborative innovation strategy centered on "chain-leader leadership, scenario expansion, and financial empowerment," alongside a dynamic pathway for policy support.

Abstract Artificial intelligence is changing the content, pace, and evaluation criteria of knowledge work. Although AI can augment productivity, it can also intensify uncertainty about skill obsolescence, role replacement, and future employability. This study examines how AI anxiety influences career adaptability among knowledge workers and clarifies the psychological mechanism through which this effect unfolds. Based on trait activation theory, a moderated mediation model is proposed in which proactive vitality management functions as a mediator and sense of control operates as a moderator. Using survey data from 582 knowledge workers employed in firms that had filed AI-related patent applications or reported AI implementation, the study tests curvilinear and interaction effects through hierarchical regression. The results show that AI anxiety has a U-shaped relationship with both proactive vitality management and career adaptability: at lower levels it suppresses adaptive responses, whereas beyond a critical range it begins to stimulate active self-regulation and adaptive renewal. Sense of control positively moderates these relationships by weakening the inhibitory effect of low-to-moderate AI anxiety and strengthening the facilitating effect of higher AI anxiety. Proactive vitality management positively predicts career adaptability and transmits both the direct effect of AI anxiety and the interaction effect between AI anxiety and sense of control. The findings show that AI anxiety is not only a threat signal but can also become a catalyst for career renewal when employees retain psychological agency and actively manage their energy resources.

Abstract For Generation Z college students—Digital natives—Their digital well-being is a critical contemporary issue. This study conceptualizes digital well-being for this cohort and proposes a five-dimension evaluation framework encompassing usage experience, autonomy and control, growth efficacy, social relationships, and security perception. This framework comprises 20 secondary indicators and 61 observation points. An evaluation approach, integrating the entropy weight method with fuzzy comprehensive evaluation, is then designed and applied to a sample of ten students. This research provides a theoretical foundation and an objective assessment tool to support future quantitative investigations in this domain.

Abstract Under the wave of digital economy, the market-oriented allocation of data elements continues to advance, and asset evaluation, as an important support for the operation of the market economy, is facing a critical node in digital transformation. The traditional asset valuation model relies on limited samples and manual analysis, and has shortcomings such as prominent data barriers, long evaluation cycles, and subjective intervention risks. It is difficult to meet the current diversified, refined, and dynamic valuation needs, and the industry urgently needs to improve quality and efficiency. Big data technology, with its advantages of massive data processing and deep mining analysis, provides a new path for solving industry pain points and reconstructing evaluation systems. At present, although big data has made initial progress in the field of asset valuation, it still faces practical problems such as data compliance, technological adaptation, and talent shortage, and the systematic application path is not yet perfect. Based on this, this article is based on the actual situation of the industry, analyzes the current application status of big data technology, delves into existing bottlenecks, and explores scientifically feasible implementation paths, aiming to promote the digital upgrading of the asset appraisal industry, enhance the credibility and service efficiency of appraisal.

Abstract The rural revitalization strategy provides an important development opportunity for the inheritance of intangible cultural heritage (ICH). As a provincial-level ICH in Sichuan, Beichuan Qiang straw weaving in Mianyang carries the cultural genes and regional characteristics of the Qiang ethnic group. However, it faces dilemmas such as a shortage of inheritors, insufficient innovation, and limited promotion. Combining the context of rural revitalization, this paper analyzes the inheritance status and value of Beichuan Qiang straw weaving, and proposes innovative strategies from four dimensions: talent cultivation, product innovation, industrial integration, and communication and promotion, aiming to provide practical paths for ICH to empower rural revitalization.

Abstract The deep integration of artificial intelligence (AI) and home-based elderly care represents a critical pathway for actively addressing population aging. This study constructs a three-dimensional analytical framework of "Technology-Scenario-Governance" (TSG) to systematically investigate the model innovation, practical dilemmas, and implementation pathways of AI-empowered home-based elderly care. The findings reveal that AI-empowered home-based elderly care has evolved into three distinct models: technology empowerment, scenario integration, and governance collaboration. In practice, the field faces technology-dimension dilemmas including insufficient technology adaptation, digital divide, and ethical risks; scenario-dimension dilemmas including demand identification deviation, scenario embedding difficulties, and service suspension; and governance-dimension dilemmas including subject coordination challenges, resource allocation imbalance, and regulatory absence. The root causes of these dilemmas lie in the tension between technical logic and humanistic logic, the conflict between efficiency orientation and fairness orientation, and the imbalance between instrumental rationality and value rationality. This paper proposes collaborative implementation strategies encompassing technology pathways, scenario pathways, and governance pathways.

Abstract The integration of intangible cultural heritage and the homestay industry is conducive to the inheritance, protection and practice of intangible cultural heritage, and can also promote destination culture and enhance tourists' cultural identity. Based on the scene theory, this study constructs a scene perception framework from three dimensions: material, society, and culture. It uses Python web scraping, LDA topic analysis, and SnowNLP sentiment analysis to extract themes and conduct sentiment analysis on online reviews of intangible cultural heritage homestays. The results show that tourists' perception is concentrated on 6 themes: environment, cultural experience, service, customer group, facilities and comfort. Their emotions are generally positive, and negative emotions are mostly related to facilities. Based on this, it is proposed to improve the scene of intangible cultural heritage homestays from aspects such as facility optimization, service enhancement, and highlighting the characteristics of intangible cultural heritage.

Abstract For regional industrial upgrading and high-quality economic development, it is necessary to break through the barriers of isolated operation among the "government, enterprises and schools". This article proposes to create a win-win "government-enterprise-university" ecosystem for all three parties, allowing the government to guide the direction through policies, enterprises to grasp the core based on demands, and universities to provide support with resources. Eventually, a cooperative model featuring complementary resources, shared risks, and shared benefits will be formed. By analyzing the real demands of the three parties in terms of talent supply, technological innovation and industrial services, a complete construction path of "policy pulling - demand matching - resource aggregation - effect feedback" was designed. This ecosystem can address issues such as labor shortages in enterprises, the disconnection between talent cultivation in universities and industries, and the insufficient precision of government services. It can inject innovative vitality into regional industries and provide practical methods for the coordinated development of similar regions.

Abstract Against the backdrop of the "dual carbon" policy, accelerating the coordinated development of industrial digitalization and greening is a crucial pathway to achieving China's modernization. This paper explores the evolution and driving factors of coordinated industrial digitalization and greening. Key findings: 1. The coordination level between digitalization and greening has significantly improved across Chinese provinces, advancing from initial coordination to sound coordination overall, marking substantial progress in "digital-green synergy."2. China's "digital-green synergy" exhibits an "eastern leadership, western rapid development" pattern, where narrowing regional disparities is key to advancing coordinated development. 3. Regional differences remain pronounced. Beyond Beijing, Guangdong, Shanghai, and Jiangsu, most provinces lag in industrial digital-green synergy, urgently requiring accelerated synchronized development of both industrialization and green transformation.

Abstract In the era of digital economy, digital transformation has become a key path to promote high-quality development of enterprises, and national policies continue to guide the deep integration of digital technology and the real economy. As an important force in the national economy, small and medium-sized enterprises play a prominent role in promoting employment and driving growth. However, they face problems such as insufficient resource investment, lack of planning, poor compatibility between technology and management, talent shortage, and weak data security in digital transformation, resulting in poor transformation effectiveness. The current market competition is becoming increasingly fierce, and traditional management models are no longer suitable for development needs. How to improve economic management efficiency through digital transformation has become an urgent problem for small and medium-sized enterprises to solve. This article is based on relevant theories, focusing on the above issues, exploring the impact of digital transformation on the management efficiency of small and medium-sized enterprises, and proposing targeted strategies to provide support for their transformation and development, with both theoretical and practical value.

Abstract This study, based on Social Information Processing Theory, constructs a moderated mediation model to investigate how environmental empowering leadership influences employees' organizational citizenship behavior for the environment for the environment through green psychological empowerment and green human resource management. Analysis of 308 questionnaires reveals that environmental empowering leadership has a significant positive impact on employees' pro-environmental behavior, with green psychological empowerment acting as a mediating factor in this relationship. Additionally, green human resource management serves as a moderator between leadership behavior and psychological empowerment. The findings provide important theoretical support and managerial insights for organizations in their environmental management practices.

Abstract Based on the fsQCA qualitative analysis method, this study explores how the differentiation of resource scheduling process can promote the green transformation of China's manufacturing enterprises to achieve different paths, and the results show that there are three paths that can enable manufacturing enterprises to achieve green transformation, namely: (1) a coordinated supply chain green integration model with external recognition as the core condition; (2) the multi-response green butterfly transformation model with value realization as the core condition; (3) The green integration model of the industrial chain with the incentive level and R&D intensity as the core conditions. In summary, this study not only enriches the research on the green transformation of enterprises by adopting different resource allocation methods in production activities and makes enterprises realize green transformation, but also provides some useful enlightenment for the upgrading of the green transformation of China's manufacturing enterprises under the current goal of "further deepening reform and promoting Chinese-style modernization".