Journal of Innovation and Development (JID) is an inter-disciplinary, peer-reviewed journal published by Darcy & Roy Press. The mission of the journal is to provide an academic forum for discussing the issues of innovation, development across the world. All articles published are rigorously and fast reviewed meeting the Journal Quality standards. JID is indexed by CNKI since 1 January 2024.
Robotic Arm Visual Grasping Enhanced by an Improved U-Net Network
This paper proposes a robotic arm vision-based grasping method utilizing an enhanced U-Net architecture and an Efficient Channel Attention (ECA) mechanism, aimed at addressing the localization challenges of soft belts in industrial automation grasping. Traditional approaches suffer from grasping point localization errors when handling non-rigid objects due to deformation and boundary ambiguity issues. This study enhances U-Net's feature extraction capabilities by embedding an ECA module, combined with image moment theory and edge analysis, achieving precise extraction of target geometric features and optimized grasping point selection. Experimental results demonstrate that the improved U-Net_ECA model achieves mIoU scores of 93.59% and 88.47% on the training and validation sets, respectively, significantly outperforming conventional approaches. Furthermore, the proposed grasp point localization algorithm effectively resolves positioning errors caused by object deformation, validating its practicality and robustness in industrial settings.
Copyright (c) 2025 https://creativecommons.org/licenses/by-nc/4.0
A Review of 1:10,000 Scale Geological Hazard Risk Investigation and Assessment
This paper comprehensively elaborates on the relevant aspects of 1:10,000 geological disaster risk survey and assessment. It introduces its background and significance, provides a detailed analysis of the main survey and assessment contents, including geological disaster hazard identification, analysis of disaster-pregnant geological conditions, survey of elements at risk, and risk assessment. It discusses the survey methodologies and technologies combining traditional and modern approaches, synthesizes the applications of the outcomes, and prospects future development trends. The aim is to provide a comprehensive reference for geological disaster risk survey and assessment work.
Geological hazards; 1:10,000 scale investigation; Risk assessment; Technical methodologies.
Research on the Impact of Government Talent Policy Subsidies on Enterprise Total Factor Productivity
This study aims to explore the impact of government talent policy funding on enterprise total factor productivity and further analyze the differences in this impact under various conditions. In the empirical section, panel data is used, with listed companies as the research sample, to examine the mechanisms of talent agglomeration, knowledge spillover, and innovation upgrading. After analysis, it is found that government talent policy funding is conducive to improving enterprise total factor productivity, and the impact mechanism aligns with expectations. Large-scale enterprises and those in highly competitive market environments benefit more from policy funding, with this positive effect being particularly significant in non-state-owned enterprises. The research results emphasize that government talent policy funding is an effective tool for promoting enterprise productivity enhancement, exhibiting differentiated effects across various enterprise types and market conditions. This provides empirical evidence for the government to optimize talent policies and offers strategic suggestions for enterprise managers to more effectively utilize policies and resources to enhance enterprise competitiveness.
Talent policy funding; total factor productivity; government endorsement; knowledge spillover.
Breaking Down Barriers, Building an Ecosystem, and Enhancing Radiation Effect: The "Three-Dimensional Strategic Approach" Policy Path for the Construction of the Beijing-Tianjin-Hebei Science and Technology Innovation Corridor
The Beijing-Tianjin-Hebei Science and Technology Innovation Corridor, as a crucial spatial platform for promoting regional collaborative innovation and high-quality development, holds a pivotal position in the national strategic layout. Based on field research and policy text analysis, this paper systematically reviews the progress, bottlenecks, and policy pathways of the Beijing-Tianjin-Hebei Science and Technology Innovation Corridor's construction. The study reveals that, compared to the Yangtze River Delta G60 and the Guangzhou-Shenzhen-Hong Kong-Macau Science and Technology Innovation Corridor, the Beijing-Tianjin-Hebei region faces more pronounced structural issues, such as administrative barriers, sluggish flow of innovation elements, and insufficient radiating and driving effects. To tackle these challenges, the paper proposes a "three-dimensional strategic approach" policy framework: "Breaking Down Barriers" aims to dismantle institutional obstacles through unified science and technology service standards, coordinated talent policies, and expanded mutual recognition of qualifications; "Building an Ecosystem" emphasizes the establishment of a basic research support system, an innovation element circulation mechanism, and a gradient industrial collaboration network; "Enhancing Radiation Effect" focuses on strengthening the cooperation intensity between Beijing and Tianjin-Hebei, as well as reinforcing the driving capacity of industrial chains. The research contends that only through the joint efforts of institutional innovation, ecosystem construction, and radiation enhancement can the Beijing-Tianjin-Hebei region be propelled towards becoming a globally influential science and technology innovation corridor.
Science and Technology Innovation Corridor, Beijing-Tianjin-Hebei, Policy Coordination, Industrial Collaboration.
Efficient Resource Utilization Technology and Application of Urban Sewage Sludge
This article introduces the industry background of urban sewage sludge resource utilization in our country, analyzes the current research status of comprehensive sludge resource utilization, and elaborates on key technologies such as sludge and biomass co-pyrolysis gasification, carbon-silicon separation, and waste heat utilization. Application cases indicate that this project has created a "full industrial chain of sludge drying, pyrolysis gasification energy recovery, and comprehensive carbon utilization," which has significant economic and social benefits and serves as a good demonstration.
Urban sewage sludge; Resource Utilization; Application.
The Connotation and Path of the Deep Integration of Artificial Intelligence and Manufacturing Industrys
This paper systematically explores the connotation, current status, challenges, and advancement pathways of the deep integration of artificial intelligence (AI) and the manufacturing industry. The study highlights that deep integration takes data as a key driving factor, leveraging new-generation information technologies such as AI to achieve multidimensional systemic integration across technology, organization, data, and value, thereby propelling the manufacturing industry toward a fundamental transformation toward high-end, intelligent, and green development. Although China has established the world's largest manufacturing system and introduced multiple national strategies to support the development of "AI + manufacturing," significant gaps remain in areas such as independent innovation in core and key technologies, the depth of technological applications, balanced development of digital infrastructure, and the supply of interdisciplinary talent. To address these challenges, this paper proposes countermeasures including strengthening scientific and technological innovation and breakthroughs in key technologies, expanding smart manufacturing application scenarios, improving digital information infrastructure, and establishing interdisciplinary talent development systems. These measures aim to drive the comprehensive and deep integration of AI and the manufacturing industry, empowering high-quality development in manufacturing and enhancing the advancement of new-quality productive forces.
Artificial Intelligence (AI), manufacturing industry, deep integration, intelligent.
Materialization Criticism of Social Media Interpersonal Interaction from The Perspective of Marx's Interaction Theory
Grounded in Marx's theory of communication, this study examines the reification of social interactions in social media. The findings reveal three manifestations: instrumentalized relational dynamics, quantified value systems, and alienated subjectivity, with root causes tracing back to three key factors: the permeation of capital logic, the expansion of technological rationality, and the path dependence of human agency. Building on the principle that "humanity is the sum of social relations," the paper proposes a de-reification approach through reshaping communicative value orientations, establishing rational technological frameworks, and cultivating autonomous subject consciousness, offering actionable strategies for fostering a healthier social ecosystem.
Marx's communication theory; social media; interpersonal interaction; reification; communication alienation.
A Review of Research on the Impact of Financial Development on China's Outward Foreign Direct Investment
China's outward foreign direct investment continues to expand, and varying levels of financial development in host countries present differing degrees of risk to Chinese enterprises' overseas investments. This paper employs a literature review methodology to examine domestic and international approaches for measuring financial development indicators, revealing that no unified standard has been established for such measurements. It then analyzes the factors influencing China's foreign direct investment from the perspectives of host countries, home countries, and bilateral relations. Finally, it examines the impact mechanisms of financial development on China's foreign direct investment from both home country and host country viewpoints. Addressing shortcomings in existing literature, the paper offers corresponding research recommendations.
Financial Development, Outward Investment, Influencing Factors.
Research on the Construction of a Comprehensive Rural Financial Service Platform
Implementing financial poverty alleviation and building a rural financial service platform are pivotal measures in China’s targeted rural poverty-eradication campaign. “Internet Plus Rural Finance” is a vital measure to meet farmers’ financial needs and help them escape poverty. Examining the development status of rural financial service platforms from the perspectives of different stakeholders, this paper identifies the key problems that must be solved in building such platforms and proposes strategies for constructing a comprehensive rural financial service platform.
Rural finance, Service platform, Construction.
CEO Traits and Internal Control Deficiency Probability: Evidence from CEO Risk Conservatism and Organizational Identification
Internal control embeds rules and monitoring procedures into business processes to alleviate agency conflicts and correct information biases, forming a key mechanism that safeguards the credibility of financial reporting, compliance enforcement, and risk management capacity. Using issuance review (IPO review) information, this study builds an internal control deficiency prediction model and proposes the model-generated probability of internal control deficiency (IC_PROB) as a continuous measure to capture firm-level latent internal control failure risk. The empirical analysis yields three main findings. First, CEO risk conservatism is significantly negatively associated with IC_PROB, indicating that a more conservative risk orientation reduces risk exposure and strengthens compliance enforcement. Second, CEO organizational identification is significantly positively associated with IC_PROB, suggesting that, under performance pressure and financially oriented incentives, stronger organizational identification may raise tolerance for unethical pro-organizational behavior, thereby increasing the probability of internal control deficiencies. Third, CEO individual attributes play a substantive role: educational attainment and a finance/accounting background are both negatively related to IC_PROB. By jointly examining individual and organizational dimensions, the study identifies mechanisms underlying internal control effectiveness and offers both theoretical and practical implications.
Internal Control Effectiveness, Probability of Internal Control Deficiency, CEO Risk Conservatism, CEO Organizational Identification.
Research Progress and Outlook on Desalination and Anti-Saline Re-precipitation Technologies for Coastal Saline-Alkali Soils
The remediation of saline-alkali land is of crucial importance in alleviating pressure on arable land resources and promoting sustainable agricultural development. The present paper undertakes a systematic review of the primary technical systems currently employed for the remediation of coastal saline-alkali land, and the underlying mechanisms that govern them. With regard to leaching desalination, the study focuses on analysing the desalination efficiency and limiting conditions of techniques such as freshwater irrigation, saline irrigation, and frozen saline irrigation. In the field of soil improvement, the mechanisms that regulate soil physicochemical properties are examined through the implementation of measures such as soil replacement, the addition of soil conditioners, and biological remediation. With regard to salt rebound suppression, the review considers the effectiveness of surface mulching and open ditch-closed pipe systems in controlling salt migration. A plethora of research has been conducted on the subject, and the results indicate that while each improvement technique possesses distinct advantages, they also exhibit limitations. Future efforts should focus on synergistic optimisation of multiple technologies to establish site-specific integrated management models for saline-alkali land, providing theoretical foundations and technical support for sustainable land resource utilisation in coastal regions.
Coastal saline-alkali land, soil salinization, desalination technology, salt suppression.
Exploration of the Reform Path of Practical Courses in Colleges and Universities Oriented by Innovation Ability
To cultivate high-quality innovative talents that meet the needs of economic and social development, the state continuously introduces relevant policies and measures. In this context, shifting the focus of higher education to fostering students 'innovative thinking and capabilities through practical teaching is crucial for enhancing the nation's overall innovation capacity and competitiveness. Under the current trend of social development, cultivating innovation capabilities has become one of the key goals of higher education. This paper aims to explore the practical course reform path oriented towards innovation capabilities in universities, providing theoretical basis and practical guidance for the reform of practical teaching in higher education institutions, thereby promoting the comprehensive improvement of students' innovation abilities.
Innovation capability; university practical courses; teaching reform.
An Preliminary Analysis of AI-integrated Workplaces on Higher Vocational Business English Students' Occupational Competence
The business field is ushering in the rise of AI-integrated workplace, a trend accompanied by the rapid development of AI technology. At the level of knowledge updating iteration, skill application and innovative thinking, this change poses a brand new challenge to the occupational ability of higher vocational business English students. Analyzing the case of Nanjing Engineering Vocational College, the article reveals the shaping of students' occupational ability in AI-integrated workplaces, the dilemmas encountered, and the strategies for coping with the change. The application of AI technology puts forward new requirements for learning styles and vocational skills, and at the same time gives rise to innovations in educational content and the expansion of practical opportunities, so that effective countermeasures for vocational development will significantly enhance students' adaptive and innovative abilities. The implementation of effective countermeasures for career development will significantly enhance students' adaptive and innovative abilities.
AI-integrated Workplace, Higher Vocational Education, Business English students, Occupational competence, Education Reform.
Research on How University Science and Technology Innovation Promotes the Development of New-Quality Productive Forces
This paper examines the relationship between university scientific and technological innovation and the development of new-quality productive forces. New-quality productive forces are driven by scientific and technological innovation, characterized by high technology, high efficiency, and high quality. The study indicates that university scientific and technological innovation serves as its core driving force, while new-quality productive forces provide goal-oriented direction for university innovation. Universities exert their influence through knowledge spillovers, talent cultivation, and disciplinary integration, leveraging mechanisms such as technology supply, achievement transformation, and collaborative innovation. To enhance this impact, efforts should focus on strengthening basic research, aligning with national strategies, deepening reforms, and optimizing the innovation ecosystem. These findings hold significant implications for promoting the integrated development of scientific and technological innovation and new-quality productive forces.
Scientific and Technological Innovation in Universities; New-Quality Productive Forces; Internal Logic; Mechanism of Action; Implementation Pathways.
Research on Audit risks and Countermeasures of Financial fraud in Listed Companies
With the prosperous development of social productivity and economic trade, the business operations of listed companies have become more complex and diverse, posing more challenges to traditional auditing work. This article analyzes the case of financial fraud at Kaile Technology, provides a brief overview of its fraudulent behavior and consequences, evaluates audit risks from three dimensions: development strategy, company operations, and major misstatement risks, and finally proposes relevant risk response suggestions to prevent similar corporate financial fraud incidents from happening again.
Audit risk, Financial fraud, Risk response.
Art Community Enabling Rural Revitalisation: An Exploration of a Symbiosis Model Based on Liuyang Xiaohe
Based on the symbiosis theory, this paper takes Liuyang Xiaohe Township as a typical research object, and makes comprehensive use of field research, case analysis and multidisciplinary theories to analyse the role of art communities in the process of rural revitalization and the intrinsic connection between the two. From a regional perspective, Liuyang Xiaohe is selected as a typical rural sample to explore the unique mode of symbiotic development between art community and rural revitalisation, not only exploring the interaction mechanism between the two at the macro level, but also analysing the coupling relationship between various elements at the micro level. The study shows that the symbiotic relationship between art community and rural revitalisation in Liuyang Xiaohe Township is remarkable, and the model provides valuable reference experience for other rural areas, which is expected to promote the innovative development of rural revitalisation theory and practice.
Liuyang Xiaohe; art community; rural revitalisation; symbiotic relationship.
A System Framework for Optimizing the Localization Media Strategy of Multinational Corporations Based on Multi-Source Data Fusion
In the era of globalization, multinational corporations (MNCs) face the critical challenge of tailoring their media strategies to resonate with diverse local markets, particularly within dynamic creative cities. Traditional approaches to localization are often based on siloed data and qualitative judgments, lacking the agility and precision required in fast-paced digital environments. This paper proposes a novel system framework for optimizing the localized media strategies of MNCs through the systematic fusion of multi-source data. The framework is designed to integrate internal enterprise data, such as sales and marketing metrics, with a wide array of external data, including social media analytics, public opinion data, local cultural and policy information, and competitor intelligence. The core of the system is a data fusion and analytics engine that employs machine learning and predictive modeling to analyze the complex interplay between various factors (e.g., local cultural trends, policy shifts, user sentiment) and media strategy performance. By modeling these relationships, the system provides data-driven decision support, generating actionable recommendations for content themes, platform selection, and optimal timing for media deployment. This framework offers a structured, scalable, and intelligent solution to enhance the effectiveness of cross-border communication, enabling MNCs to achieve deeper market penetration and stronger brand resonance.
Multinational Corporations (MNCs), Media Strategy, Localization, Data Fusion, Decision Support System, Big Data Analytics, Predictive Modeling.
Digital Inclusive Finance and Urban Entrepreneurial Activity
In the context of the burgeoning digital economy, digital inclusive finance plays a crucial role in fostering regional innovation, entrepreneurship, and economic restructuring. Findings indicate that digital inclusive finance substantially boosts urban entrepreneurial activity, with this impact being particularly pronounced in cities possessing high administrative classifications, substantial economic scales, advantageous geographical positions, and those focused on non-productive service sectors. Its mechanism of action is mainly reflected in enhancing urban innovation capability, stimulating residents' consumption, and expanding credit supply. Further analysis reveals considerable heterogeneities across various urban characteristics and industry types. Concurrently, digital inclusive finance stimulates entrepreneurial activity via mechanisms such as factor concentration and spatial spillovers. This research offers a theoretical foundation for refining digital inclusive finance policies and invigorating urban entrepreneurial dynamism. Moreover, it holds significant implications for fostering green and innovative economic growth and contributing to the achievement of "dual carbon" objectives.
Digital inclusive finance, urban entrepreneurial activity; transmission path; two-way fixed effect model.
The Role of Independent Directors in Mitigating Material Misstatement Risk: Evidence from Chinese A-Share Listed Companies
In the context of increasing regulatory scrutiny and persistent concerns over financial reporting quality, this study investigates the impact of independent directors’ supervisory behavior and personal characteristics on the risk of material misstatement among Chinese A-share listed companies from 2014 to 2023. Using audit opinions as a proxy for misstatement risk, we assess the effectiveness of independent directors through performance metrics—such as board meeting attendance and dissenting behavior—and background attributes including gender, age, and professional expertise. The empirical results reveal that while dissenting behavior is significantly and positively associated with material misstatements, meeting attendance and gender composition show no significant influence. Notably, older directors demonstrate a risk-mitigating effect, whereas directors with accounting and financial backgrounds unexpectedly correlate with higher misstatement risks, suggesting the presence of symbolic appointments or compromised independence. Industry-specific analyses further show that the governance role of independent directors varies significantly across sectors. These findings offer nuanced insights into the real supervisory impact of independent directors and provide policy implications for improving board effectiveness in emerging markets.
Independent Directors; Material Misstatement Risk; Audit Opinions; Supervisory Effectiveness.
A Discussion on Design Strategies for Aging Services Based on User Experience
In the face of the ever - quickening global aging phenomenon, the requirements for services for the aged have gradually become the focus of social attention and this research article explores the design of services for the elderly from the perspective of user experience; at first, it comprehensively analyzed the physiological, psychological, and social - behavioral characteristics of the elderly, summed up their special needs and common service problems and then, by integrating the user experience theory, the study put forward a number of user - centered design strategies, including improvements in interactive experiences, optimizations in operation processes, strengthenings of emotional connections, and customized service concepts; the results showed that integrating user experience into the design of services for the elderly could greatly improve the service quality and enhance the well - being and satisfaction of the elderly and moreover, it opened up a new path for the service design field; the views in this paper helped to promote the innovative development of services for the elderly and provided both theoretical understanding and practical guidance for creating an elderly - friendly service system.
User Experience; Aging Services; Design Strategies.
Forecasting and Analyzing the Drivers of Rural Residents' Income Using Stacking Ensemble Learning: A Case Study of Zhuji City
Forecasting rural income is vital for China's national strategies, yet traditional models falter on short, multi-feature time-series data, creating an accuracy-interpretability dilemma. This paper introduces a Stacking ensemble learning framework using 2012-2021 economic data from Zhuji City to address this. The framework integrates Ridge, SVR, and Random Forest base learners, with a Linear Regression meta-learner to optimally weigh their predictions. Empirical results demonstrate two key findings: 1) The Stacking model achieves significantly superior predictive accuracy over its base learners, proving its robustness on small-sample data. 2) An analysis of the meta-learner weights reveals that rural income growth follows a composite pattern, dominated by a linear trend and fine-tuned by nonlinear corrections. This research offers a robust forecasting paradigm for regional economies and a novel, interpretable method for analyzing the driving mechanisms of complex economic phenomena.
Ensemble Learning; Stacking Model; Time Series Forecasting; Rural Residents' Income; Driving Factor Analysis.
Effectiveness Evaluation of Big Data Risk Control Models in Consumer Credit: A Comparative Study of Default Prediction Based on XGBoost Algorithm
With the rapid development of financial technology and the continuous expansion of the consumer credit market, the accurate identification and prediction of credit risks have become crucial for financial institutions in risk management. This paper focuses on credit risk prediction in the consumer credit market, constructing an XGBoost model based on 168,000 pieces of data from Internet finance company S, and comparing it with models such as logistic regression, SVM, and Gaussian Naive Bayes. The results show that the XGBoost model achieves an accuracy rate of 97% on both the training and validation sets, takes only 0.12 minutes, and has a true positive rate (TPR) of 86.04%, with overall performance significantly superior to logistic regression, SVM, and Gaussian Naive Bayes models. Variable contribution analysis further reveals that "new users", "Sesame Credit", "number of shutdown days", and "Ant Credit Pay Limit" are key factors reflecting overdue behaviors in consumer credit. Based on these core influencing factors, this paper designs corresponding risk control strategies to balance risk control and business efficiency. The research provides a theoretical basis and practical guidance for financial institutions to optimize risk control models, helping to reduce credit risks and promote the sustainable development of consumer credit business.
Big Data Risk Control; Consumer Credit; Default Prediction; Machine Learning.
Research on the Development of Global Future Industries
Future industries are an important part of the modern industrial system and will become the core engine for reshaping the competitiveness of countries and regions. At present, the iteration of cutting-edge and disruptive technologies is accelerating, the demand for industrial discovery and cultivation of innovation is more urgent, policies in various countries and regions are continuously intensifying, and the competition in cutting-edge technologies is becoming increasingly fierce. It is necessary for China to accelerate the layout of future industries and strive for the initiative in the global competition of the science and technology industry.
Future Industries, Innovation, Experience, Inspiration.
Analysis on Structural Pathways for Digital Transformation in Grassroots Governance
At present, the widespread application of digital technology in grassroots governance has not effectively improved governance efficiency as expected, but has exposed structural contradictions such as imbalance of power and responsibility, resource fragmentation, and information blockage. From a structural perspective, this paper points out that the core challenge of digital transformation is not the technology itself, but its incompatibility with the existing governance structure. This paper proposes that digital technology shall be used as a tool to promote structural optimization, and the coordinated adjustment of the governance system shall be achieved through information integration, clear definition of power and responsibility, process re-engineering, and resource coordination. Meanwhile, it is also necessary to establish supporting institutional guarantees to promote digitalization from surface operations to deep embedding. This paper aims to provide structural improvement ideas for the digitalization in grassroots governance and facilitate realizing the governance modernization.
Grassroots governance; Digital transformation; Structural Dilemma; Structural Value; Structural Reconstruction.
Factors and Mechanisms Influencing the Career Success of Female Logistics Employees
With the increasing participation of women in the workforce, their career development in the logistics industry has received growing attention. Based on the Conservation of Resources (COR) Theory, this study constructs a theoretical model to examine the mechanisms by which positive factors (such as openness, logistics professional foundation, and work-family enrichment) and negative factors (such as the glass ceiling effect and after-hours connectivity) influence the career success of female logistics employees. The model further explores the mediating role of well-being and the moderating role of enterprise-level smart logistics development. Using questionnaire surveys and SPSS-based statistical analysis, the results reveal that the aforementioned factors significantly affect career success—positively or negatively. Well-being partially mediates the relationships between openness, logistics expertise, work-family enrichment, the glass ceiling effect, and career success, and fully mediates the relationship between after-hours connectivity and career success. Additionally, the level of smart logistics development amplifies the negative impact of certain factors on well-being. This study offers theoretical insights and practical recommendations for promoting the career development of female logistics professionals and improving enterprise-level management strategies.
Career success; logistics employees; women; Conservation of Resources Theory.
The Promoting Effect of Government Transfer Payments on the Consumption Upgrade Rate
Consumption upgrade is not only an important engine of economic growth, but also a crucial way to achieve high-quality economic development, improve people's livelihoods, and promote sustainable development. This paper uses the panel data of the China Family Panel Studies (CFPS) from 2020 to 2022 to deeply explore the impact of transfer payments on consumption upgrade at the household level, and analyzes its heterogeneous effects under different marital statuses, health conditions, and regions. The research results show that: (1) The benchmark regression indicates that government transfer payments significantly promote household consumption upgrade, and this conclusion remains valid after dealing with endogeneity and conducting robustness tests. (2) The heterogeneity analysis reveals that the promoting effect of government transfer payments on consumption upgrade is particularly significant in unmarried households, households with good health conditions of family members, and households in the central and western regions. (3) The mechanism analysis shows that government transfer payments promote consumption upgrade through two paths: increasing pension income and enhancing family responsibility. The former provides a stable economic guarantee for households, reducing the need for precautionary savings, while the latter prompts households to be more inclined to make long-term plans and increase spending on development-oriented and enjoyment-oriented consumption. This research not only reveals the multi-dimensional impact mechanism of government transfer payments on consumption upgrade, but also provides important empirical evidence and policy implications for optimizing government transfer payment strategies and promoting the upgrading of the consumption structure.
Transfer Payments; Consumption Upgrade; Mechanism Analysis.
Enterprise Management Innovation of Latecomers under the Context of Artificial Intelligence Technology: From Catching Up to Leading
This paper focuses on the management innovation of latecomers in the context of artificial intelligence technology, using BYD as the research object and employing grounded theory for analysis. Through the coding analysis of relevant materials, it reveals the management innovation path and mechanism of BYD from the catching-up stage to the leading stage, including strategic adjustment, organizational transformation, and talent management, etc. The study finds that latecomers can achieve management innovation breakthroughs through artificial intelligence technology and thereby achieve the leap from catching up to leading, providing useful references for other latecomers.
Artificial Intelligence Technology; Latecomers; Management Innovation; Grounded Theory; BYD.
Synergistic Effects of FDI and Cross-Border E-Commerce in China’s Digital Economy: an Empirical Analysis Based on Inter-provincial Panel Data
Integrating the digital economy with the real economy necessitates further exploration of how foreign direct investment (FDI) and cross-border e-commerce (CE) drive China's export trade growth. This paper analyzes panel data from eastern, central and western China to assess how FDI and CE impact export trade using FMOLS and DOLS method while considering regional differences. The study's results reveal that (1) FDI and CE significantly boost export trade, with the most potent effects in the eastern region, followed by the central and western regions; (2) The impact of factors like labor resources and GDP on export trade varies significantly, with the eastern region showing the highest marginal utility; (3) The eastern region outperforms in foreign capital use and e-commerce development, benefiting from high economic openness and strong infrastructure, while the central and western regions need to improve their investment environments and infrastructure. These findings provide a basis for promoting high-quality export trade and coordinated regional economic growth.
Digital Economy; FDI; Cross-Border E-Commerce; Export Trade; Regional Heterogeneity.
Research on Intelligent Generation and Construction of Multi-modal Teaching Resource Bank of Liaoning Regional Culture and Art Driven by AI
In the context of the digital economy, the rapid advancement of artificial intelligence (AI) technology has provided new technological support for the informatization of education and the digitalization of culture. Liaoning, a key component of Northeast China's old industrial base, is rich in diverse regional cultural and artistic resources. These resources are not only important carriers of Chinese traditional culture but also valuable materials for local characteristic education. However, the current digitalization of Liaoning's regional cultural and artistic resources faces challenges such as scattered resources, limited forms, and low utilization rates, which hinder the needs of cultural inheritance and educational innovation in the new era. This study focuses on the intersection of AI and educational informatization, exploring innovative approaches to leverage AI technology for the digitalization of Liaoning's regional cultural and artistic resources. By constructing a multimodal teaching resource library, it aims to systematically protect and inherit Liaoning's distinctive cultural and artistic heritage, while also providing high-quality digital teaching resources for all levels of education, thus promoting the innovative development of regional cultural education. The theoretical value of this study lies in expanding the application boundaries of AI technology in cultural education, while its practical significance is reflected in providing replicable and scalable technical solutions for the digitalization of regional cultural resources.
AI technology; Liaoning regional culture; graphic design.
Optimized Multi-Dimensional Framework for Equity Investment DCF Modeling in the Primary Market
Cash flow discount (DCF) method is widely used in the enterprise valuation in the primary equity market. With unstable cash flow, large capital needs, and environmental, social and corporate governance (ESG) factors becoming increasingly important, the traditional DCF model is difficult to accurately assess the value of such enterprises. This study constructs a comprehensive multidimensional framework to improve the DCF model. The framework adjusts for the weighted average cost of capital (WACC), long-term growth rate (g) key elements, and takes the ESG criteria into account. Specifically, the WACC is recalibrated by incorporating industry-specific risk premiums, optimizing the final value growth rate in combination with macroeconomic trends, and incorporating ESG ratings into cash flow forecasts. After case analysis and empirical data validation, these optimizations have significantly improved the accuracy and reliability of DCF evaluation in the primary market. The findings highlight the importance of integrated valuation strategies in the field of sustainable investment. This paper provides practical guidance for investors to deal with the problem of early equity investment, and enriches the valuation research results.
Optimization; multi-dimensional framework; DCF model (cash flow discount model).