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.
Digital and Intelligent Technology Empowerment of Agricultural Product Circulation and E-commerce Live Streaming: A Study Based on the Rural Revitalization Practice of Village K in Xinjiang
Research Purpose: Taking Village K in Kashgar Prefecture, Xinjiang Uygur Autonomous Region as a case, this study explores the application of digital and intelligent technology in the fields of agricultural product circulation and e-commerce live streaming, as well as its driving effect on rural revitalization. Research Method: The case analysis method, research survey method and comparative analysis method are adopted. Combined with the dual-wheel drive model of "village-level e-commerce sales platform + cultivation of internet celebrity livestreamers" in Village K, the application effects of digital and intelligent technology are quantitatively analyzed from the dimensions of standardized production of agricultural products, brand-oriented operation, and expansion of e-commerce channels. Research Results: Through empowerment by digital and intelligent technology, Village K has achieved the growth of agricultural product market share, the average annual income of farmers in the covered areas has increased by 15%-20%, and the related industries in surrounding townships have been driven to realize annual income growth. Research Conclusion: The trinity model of "digital and intelligent technology + local talent incubation + industrial chain extension" has effectively solved the pain points of "difficult sales and low added value" of agricultural products in remote are`1`as, and provided a replicable practical path for rural revitalization.
Copyright (c) 2026 https://creativecommons.org/licenses/by-nc/4.0
Research on the Coupling and Coordination of Green Finance and Green Innovation Efficiency in Beijing-Tianjin-Hebei Region
This study employs a comprehensive approach integrating CRITIC-grease correlation, SBM-DEA model, coupling coordination model, and Tobit model to analyze the dynamic characteristics and underlying drivers of coupling coordination between green finance and green innovation efficiency in the Beijing-Tianjin-Hebei region from 2014 to 2023. The findings reveal a steady upward trend in the region's green finance and green innovation efficiency, laying a solid foundation for subsequent coupling coordination analysis. Further analysis demonstrates strong regional coordination with continuously improving coupling coordination levels. In terms of influencing factors, the technological and economic development level shows the most significant positive impact on coupling coordination, while human capital exhibits a certain negative influence. Therefore, the Beijing-Tianjin-Hebei region should strengthen regional cooperation, stimulate innovation vitality, and enhance government intervention to consolidate the coupling coordination system between green finance and green innovation efficiency. This will drive the development of surrounding cities and provide robust support for regional green transformation.
Research on the Sustainable Innovation Dilemma and Breakthrough Paths for Small and Micro Enterprises under Involution-type Competition: From the Perspectives of Capability Building and External Empowerment
In the current Chinese economic context, small and micro enterprises (SMEs) are widely trapped in the dilemma of "involution-type competition," which severely inhibits their capacity for sustainable innovation. This paper aims to explore the impact mechanism of involution-type competition on SME innovation and, based on the dual perspectives of internal capability building and external empowerment, proposes systematic breakthrough paths. The study finds that the involution environment hinders innovation by squeezing profit margins, fostering short-termism, and intensifying resource constraints. The breakthrough paths lie in: at the micro level, enterprises need to build dual capabilities in "opportunity identification and operation management"; at the meso level, leveraging digital finance to overcome financing bottlenecks is crucial; at the macro level, the government needs to provide targeted empowerment by designing high-intensity "passive events." This research provides a theoretical framework and practical insights for SMEs to achieve sustainable development in high-pressure competitive environments.
Exploring Pathways for Life Education in Higher Education Institutions: Based on the "Collaborative Assessment and Management of Suicidality" (CAMS) Framework
Life education in higher education institutions is crucial for promoting students' mental health and preventing extreme psychological crises. However, its practice often emphasizes concept promotion and knowledge dissemination, lacking efficacy in systematically identifying and preventing the core psychological mechanisms of suicide. This study aims to explore the theoretical pathway of integrating the core principles of the mature suicide intervention framework—the "Collaborative Assessment and Management of Suicidality" (CAMS)—into the life education system of higher education. The article analyzes the dynamic and concealed nature of suicide risk among university students and the limitations of current life education. It explains the implications of key CAMS elements—such as focusing on "suicidality" as a collaborative target, structured assessment, safety planning, and instilling hope—for life education. Subsequently, a "Four-Dimensional Integration Model for CAMS-Informed University Life Education" is proposed, systematically arguing for specific pathways in restructuring goal systems, deepening content modules, integrating process cycles, and synergizing stakeholder networks. This provides a theoretical framework for enhancing the precision and preventive efficacy of life education, achieving a shift towards "upstream intervention."
Collaborative Assessment and Management of Suicidality (CAMS)
Innovative Research on the Dissemination Pathways of Huangjiu Culture in the Digital Era
As a treasure of traditional Chinese wine culture, Huangjiu culture demonstrates distinct characteristics and trends in its dissemination across different historical contexts. In digital age, user experience and personalized services is placed great emphasis for wine culture communication. Consequently, the dissemination pathways of Huangjiu culture are also undergoing profound transformation and innovation. This study focuses on innovating the communication pathways of Huangjiu culture in current digital context. By conducting an in-depth analysis of the limitations of current communication approaches, the paper proposes specific innovative strategies, aiming to provide new insights and methodologies for the extensive dissemination and profound impact of Huangjiu culture.
Integration of Local Cultural Symbols and AI Technology: Innovative Practices in the Form and Packaging Design of Local Products
This paper focuses on the integration of local cultural symbols and AI technology, exploring their innovative application in the form and packaging design of local products. Firstly, it clearly defines that local cultural symbols include material and intangible categories, which are transformed into digital language manageable by AI through excavation and digital translation. Then, it sequentially illustrates that AI technology achieves creative divergence and precise optimization in form design through generative design and parametric modeling, and meets diversified needs in packaging design through intelligent typesetting, dynamic visualization, and personalized customization, with specific cases to verify their practical value. Finally, it analyzes the challenges faced in the integration process, such as cultural distortion and imbalance between technology and humanity, and proposes feasible optimization paths to provide dual impetus for promoting the brand upgrading of local products and rural revitalization.
Exploring the Dynamics of Informal Learning: Perspectives from Older Chinese Adults
China's population is undergoing progressive aging, and the demand for elderly education has become increasingly prominent. With the continuous advancement of artificial intelligence and information technologies, informal learning has gradually emerged as a crucial avenue for older adults to acquire knowledge, strengthen family bonds, and engage in social life. Based on the data from the Chinese General Social Survey (CGSS) spanning from 2003 to 2023, this paper selects multiple indicators related to the informal learning of older adults and conducts a quantitative and systematic assessment of the temporal dynamics and trends. The results indicate: (1) By utilizing the share of respondents with junior - high education or above to characterize the educational attainment of China’s older population, a turning point was identified in 2015. Specifically, the education level initially declined over several years and subsequently increased. (2) Prior to 2015, the proportion of respondents with positive attitudes towards informal learning remained relatively stable at approximately 17%. After 2017, this proportion witnessed a rapid rise to around 30%. (3) An analysis employing the 2015 CGSS as a representative year reveals that all eight categories of informal learning display significant spatial differentiation at the provincial level. Traditional media - based learning is the most prevalent nationwide, followed by participation in social activities. Cultural - consumption and digital - learning types have lower overall levels but show marked clustering in some eastern and western provinces, suggesting structural differences in learning types across regions. (4) Given the pronounced spatiotemporal heterogeneity of older adults’ informal learning, this paper puts forward a three - pronged policy approach—bridging the digital divide, enhancing the supply of diverse community educational resources, and implementing differentiated, targeted support on a universal basis—to establish an inclusive, sustainable support system for elderly learning.
Human Physiological Responses and Thermoregulation Modeling in Cold Environments: A Comprehensive Review
Cold environments, ranging from moderate cold to extremely cold conditions, pose significant impacts on human physiological health, thermal comfort, and cognitive-motor performance. With the increasing attention to human adaptation and safety in cold regions, workplaces, and extreme environments, research on human physiological responses and thermoregulation modeling in cold conditions has become a key focus. This paper conducts a comprehensive review of existing literature on this topic, starting with an analysis of human overall and local physiological responses under cold exposure, including changes in core and skin temperatures, blood circulation, and metabolic regulation. It then summarizes the development of thermoregulation models for cold environments, covering multi-segmented bioheat models, survival time prediction models, and machine learning-based predictive models. The paper further discusses the influences of key factors on human responses, including cold exposure intensity, duration, repetition, as well as individual differences such as sex, age and activity status. Additionally, it explores practical applications including thermal comfort improvement, cold injury prevention, and heating demand optimization. Finally, the current research gaps and future directions are identified, emphasizing the need for more accurate models considering complex environmental interactions and individual characteristics, as well as in-depth studies on long-term cold adaptation mechanisms. This review aims to provide a systematic understanding of human-environment interactions in cold conditions and support the development of targeted protective strategies and engineering solutions.
Research on Agricultural Drought Vulnerability in Henan Province
In order to systematically evaluate the vulnerability of agricultural drought in Henan Province, based on the meteorological, agricultural, water resources and socio-economic data of Henan Province from 2007 to 2023, 15 indicators were selected from the two dimensions of sensitivity and recovery, through quantitative qualitative indicators and entropy weight method Determine the weight, build weighted comprehensive evaluation models and fuzzy comprehensive evaluation models respectively, and conduct comparative analysis on the vulnerability of agricultural drought in 18 cities in the province. The result shows that the evaluation result of fuzzy comprehensive evaluation model is more reasonable. During the study period, the overall agricultural drought vulnerability of the province showed a downward trend, but the regional differences were significant, especially in southern and eastern Henan, the regional vulnerability continued to be high. Finally, rationalization suggestions and countermeasures are put forward according to the evaluation results, in order to improve the regional agricultural drought resistance capacity.
Impact of Digital Transformation on the High-Quality Development of Home Appliance Enterprises in the Context of New-Quality Productivity
Against the dual backdrop of deepening digital penetration and growing demands for high-quality economic development, the home appliance industry—an iconic representative of "Made in China"—is in urgent need of breaking through inherent development bottlenecks. This study takes 46 listed home appliance enterprises as research objects to systematically explore the impact mechanism and practical paths of digital transformation on their high-quality development, aiming to provide decision-making references for industrial transformation, strategic formulation, and new-quality productivity cultivation. The findings indicate that digital transformation exerts a significant positive effect on the high-quality development of home appliance enterprises, with digital innovation, innovation efficiency, and supply chain efficiency playing key mediating roles. Notably, this promoting effect exhibits obvious heterogeneity among enterprises of different ownership types and regional distributions.
Copyright (c) 2025 https://creativecommons.org/licenses/by-nc/4.0
Digital Pathways for Jingdezhen Ceramic Techniques from the Perspective of Intangible Cultural Heritage Revitalization
Jingdezhen has a porcelain-making history spanning over 2,000 years, forming a complete craftsmanship system with traditional handcrafted porcelain-making techniques as the core and a unique cultural tradition. It is an important representative of China's traditional handcraft-based intangible cultural heritage (ICH). For a long time, this craftsmanship has been passed down through the master-apprentice system and local practices, but in the context of modern society, it faces practical dilemmas such as the aging of inheritor groups, a single mode of communication, and insufficient contemporary expression. With the development of digital technology, the way of inheriting ICH has undergone profound changes. Based on the perspective of ICH activation, this paper takes Jingdezhen ceramic craftsmanship as the research object. On the basis of analyzing its cultural value and current inheritance status, it sorts out the existing problems in current digital protection and communication practices, such as inadequate technological adaptation, restricted transformation of tacit knowledge, and low inheritance efficiency. Furthermore, it systematically explores the construction of digital paths for Jingdezhen ceramic craftsmanship from three dimensions: digital protection, digital communication, and digital innovation. The research aims to provide theoretical reference and practical enlightenment for the living inheritance and sustainable development of Jingdezhen's ICH ceramic craftsmanship.
Audit Supervision Empowering Innovation in the Internal Control Mechanisms of Forestry Enterprises
With the expansion of business operations in forestry enterprises, traditional internal control mechanisms can no longer meet current needs. It is imperative for forestry enterprises to innovate their internal control systems, strengthen the role of internal controls, and enhance operational and management standards. This study proposes the approach of using audit supervision to empower internal control in forestry enterprises. It discusses the functions of audit supervision in improving information transmission efficiency and reinforcing the authority of internal control, summarizes the operational characteristics of forestry enterprises, analyzes existing problems and shortcomings in their internal control practices, and puts forward strategies for internal control innovation based on audit supervision. The research aims to facilitate the development of internal control mechanisms better suited to the current stage of development in forestry enterprises, enabling timely identification and resolution of internal financial and managerial issues, thereby promoting sustainable development and expansion.
Simulation Study on the Effects of Stacking Arrangements of Railway Hazardous Material Containers on Temperature Distribution under Strong Solar Radiation
This paper addresses the safety concerns of railway hazardous material transportation under the conditions of intense solar radiation and complex geographical climate in Northwest China. Using a standard 20-foot general-purpose container as the research subject, this study employs SolidWorks for 3D modeling and Fluent for simulation to investigate the impact of different stacking arrangements on the internal temperature distribution of cargo. Based on solar radiation (S2S) and turbulence models, and setting the summer environmental conditions of the Golmud region as the simulation scenario, the temperature field variations under monolithic (single-block) and bipartite (two-block) stacking arrangements are compared and analyzed. The results indicate that under strong solar radiation, the monolithic stacking method, due to poor air circulation, tends to cause heat accumulation leading to localized high-temperature zones. In contrast, the bipartite stacking arrangement effectively promotes more uniform temperature distribution by enhancing air flow, thereby reducing the risk of localized overheating. The simulation further suggests that leaving appropriate gaps between cargo stacks, controlling stacking height, and avoiding direct placement against sun-exposed container walls can improve heat transfer and prevent heat buildup. This study provides theoretical guidance and a practical reference for optimizing stacking strategies and thermal management in railway hazardous goods transportation, particularly in high-altitude and high solar radiation regions.
Exploration and Innovation of Medical Students Social Practice in the Context of New Medicine
Medicine is both a science and an art. Social practice, serving as a crucial bridge between theoretical knowledge and real-world application, plays a vital role in preparing medical students for clinical practice and social engagement. This paper examines the practical experiences of students at Shaanxi University of Chinese Medicine, integrating relevant theories and policies to explore its positive impacts on cultivating professional ethics, social awareness, and comprehensive competencies. By addressing specific challenges encountered in our university's social practice initiatives, the study proposes actionable optimization suggestions to deepen and solidify medical students social practice experiences.
From Gaming to Governance: Restructuring Public Hospital Management under DRG Payment Reform
The Diagnosis-Related Groups (DRG) payment reform serves as a pivotal institutional mechanism, compelling public hospitals to transition from volume-driven expansion to a model centered on quality and efficiency. Drawing upon principal-agent theory, this study dissects the "double-edged sword" effects inherent in DRG implementation. While the system effectively curbs irrational cost escalation through hard budget constraints, it simultaneously induces strategic gaming behaviors, specifically upcoding and risk selection, which raise concerns regarding compromised medical quality. To address these challenges, this paper proposes the construction of a modernized hospital governance framework. Specific strategies include: (1) implementing isomorphic mapping and dynamic calibration mechanisms between clinical pathways and DRG groups; (2) elevating medical record management to the level of data asset governance to establish a closed-loop quality control system; and (3) instituting a quality safety "circuit breaker" mechanism and collaborative early-warning platform that function independently of economic performance metrics. Ultimately, this study aims to drive public hospitals from passive interest-based gaming toward proactive internal governance, achieving a sustainable equilibrium between cost containment and value-based healthcare.
Multi-channel Video as Polyphonic Narrative: Time Fragments and Spatial Paths in Contemporary Moving Image
This study focuses on Multi-channel Video within contemporary moving image practice, understanding the multi-channel format not as a mere multi-screen display but as a structural system defined by multi-track images that generate differential rhythms and a polyphonic relationship along the temporal axis. Employing a structural analysis that integrates narratology, spatial image studies, and memory studies, the paper examines three representative works—Wu Junyong’s Qian Yue, Li Ming’s Straight Line, Landscape, and Tong Yixin’s Poems in the Mount Lu Zoo—and categorises them into three distinct multi-channel paradigms: the Lyrical, the Itinerant, and the Mnemonic, which respectively correspond to emotional rhythm, path-based time (or movement time), and multiple historical temporalities. The research further demonstrates that these structural models not only establish distinct modes of viewing—such as fluid drifting, path reconstruction, and multi-vocal decoding—but also reveal three corresponding artistic subjectivities: the Poet, the Traveller (or Peripatetic), and the Historiographer (or Chronicler). Ultimately, the study posits that “Multi-channel” should be understood as a crucial critical concept in contemporary moving image studies for reshaping temporal perception and narrative mechanisms.
Model Innovation and Policy Research on Artificial Intelligence Empowering Community-based Elderly Care Services
As China's population aging continues to deepen, traditional family-based and institutional elderly care models face significant challenges. Community-based elderly care, serving as the core component of the "9073" elderly care structure, urgently needs to enhance its service efficiency. Artificial intelligence technology, as the core driving force of the new wave of technological revolution, provides unprecedented opportunities for the intellectualization, precision, and efficiency of community-based elderly care services. This paper aims to explore how AI can empower community-based elderly care services. By analyzing the integration path of "technology-service-model," it systematically proposes four major innovation models for AI-empowered community elderly care: the Intelligent Safety Monitoring Model, the Personalized Health Management Model, the Emotional Companionship and Social Support Model, and the Resource Integration and Intelligent Dispatch Model. Simultaneously, this paper delves into the key issues currently faced by the application of AI technology in the elderly care field, such as data security, technological age-friendliness, cost and the digital divide, and lack of standards. On this basis, the paper proposes a set of systematic policy recommendations from four dimensions: top-level design, data governance, industrial ecosystem, and talent development and humanistic care, hoping to provide theoretical reference and practical guidance for building an inclusive, precise, and warm AI-empowered community-based elderly care service system.
Innovation and Challenges of Music Education Models Empowered by Digital Technology
In the current era of the quick information technology advancement, the intersection of digital technology and arts education has resulted in a transformation shift within pedagogic methodologies. This paper explores the multifaceted impacts of digital technology on music education models, aiming to identify both its contributions to innovative music learning approaches and the challenges arising therefrom. It examines how tools such as Artificial Intelligence (AI), Virtual Reality (VR), and cloud-based collaborative platforms are transforming the traditional master-apprentice model into an inclusive, collaborative, and information-rich new system. Furthermore, an analysis of the shift from passive reception to active creation demonstrates the effectiveness of adaptive learning systems in enhancing musical literacy and skills. but they do come with significant friction, issues around the digital divide, the possibility of eroding emotional nuance from automatic feedback, and changes to the role of the educator are all critically assessed. By means of a mix of literature examination and quantitative information evaluation, the present piece claims that though digital empowerment improves educational efficiency and access, this calls for a readjustment of educators' pedagogical theories to make sure that humanistic parts of music that were once expressed and communicated are retained. The findings suggest that what’s needed is a hybrid model that uses the efficiencies of the algorithm but still has the humans be mentors is the direction for the field.
Regional Comparison of Progress Toward Carbon Emissions Peak in China
Accurately assessing the progress of carbon emissions peak actions at the national and regional levels is a crucial foundation for achieving China’s carbon emissions peak target before 2030. This study first examines the relationship between carbon emissions peak and carbon emissions decoupling, and establishes their correspondence numerically by employing the Tapio decoupling model. Second, using provincial panel data from 2000 to 2019, it investigates the progress of the carbon emissions peak in China overall and in the Eastern, Central, and Western regions. The study finds that at the national level, China’s overall CO2 emissions have entered a near-peak plateau phase, where the growth rate of carbon emissions has significantly slowed and is much lower than GDP growth. However, an unstable rebound trend persists under the influence of macroeconomic policies. Regionally, the Eastern region has the most advanced progress toward the carbon emissions peak, followed by the Central region, with the Western region lagging. Moreover, the gaps among the three regions are gradually widening.
How the Digital Economy Affects Urban Green Total Factor Productivity: Empirical Evidence from the Huaihe River Ecological Economic Belt
In the new normal economic development environment, the digital economy, as an emerging driving force, plays a key role in the promotion of the green economy. This paper takes the cities of the Huaihe River Ecological Economic Belt from 2007 to 2022 as the research object, and analyzes the mechanism of the digital economy on urban green total factor productivity based on the two-way fixed effect model. The study shows that the digital economy significantly promotes the green total factor productivity of cities in the Huaihe River Ecological Economic Belt by improving green technology innovation and optimizing the investment structure, and the effect is uneven in the east and low in the east and low in the west (negative in the west).
Research on the Construction of Off-Campus Internship Bases for Creative Design of Electrical Product Packaging
Off-campus internship bases serve as a crucial bridge connecting art and design majors in higher education institutions with industrial practice, playing an irreplaceable role in cultivating applied and innovative packaging design talents. Currently, the electrical product packaging industry is facing transformation demands toward greenization, intelligence, and branding, which imposes higher requirements on the practical capabilities and innovative thinking of design talents. Focusing on the creative design of electrical product packaging, this paper is based on industry research data (N=326 electrical and packaging enterprises, 112 art and design majors in colleges and universities). Starting from the necessity of constructing internship bases, it analyzes the existing problems in the current construction process, explores a base construction model of "university-enterprise collaboration and integration of production and education", and proposes targeted construction strategies. This study aims to provide reference for the sustainable development of off-campus internship bases for art and design majors in higher education institutions.
Can International Human Rights Law Bind Sovereign States?
This paper examines Dobbs v. Jackson Women’s Health Organization, focusing on the efficacy of international human rights law within the courts of a superpower. Through literature review and theoretical analysis, it introduces the concept of “symbolic compliance” and argues that the United States' approach to human rights treaties is “not selective, but strategic.” Its treaty practice employs such instruments as assets of legitimacy on the international stage while simultaneously de-legalizing them domestically through mechanisms like “non-self-executing” status and reservations, rendering them “merely symbolic.” Case analysis reveals that Dobbs not only disregards international human rights treaties but also reinforces American exceptionalism by establishing an insular judicial philosophy through its reaffirmation of “history and tradition.” Compared to the monistic practices in Europe and Latin America, the U.S.'s dualistic tradition makes it more prone to exclude international law. Therefore, this paper argues that international human rights law lacks effectiveness against powerful states, with its efficacy determined by domestic political culture or institutional design. Finally, it suggests that strengthening treaty monitoring, transnational judicial dialogue, and civil society participation can enhance its effectiveness.
Development and Practical Application of Pressure-Drive Water Injection String
To address the challenge of "difficulty in water injection and oil production" in low-permeability reservoirs, Shengli Oilfield has developed three pressure-drive water injection development modes--"advanced pressure drive, three-dimensional pressure drive, and differential pressure drive" through continuous research, practice, and iterative upgrades. As a key carrier for technical implementation, the pressure-drive water injection string has formed a supporting model dominated by "multi-cycle zonal pressure-drive string and integrated pressure-drive water injection string". The technical indicators are: applicable casing size 4½in-7in; working pressure difference ≤50MPa; working temperature ≤150℃. By the end of 2023, a total of 107 well applications have been implemented with a sealing efficiency of 92.7%. Among them, the multi-cycle zonal pressure-drive string has been applied in 62 wells, with a maximum water injection pressure of 47MPa, a maximum formation temperature of 150℃, and a maximum injection rate of 1800m³/d. The integrated pressure-drive water injection string has been applied in 45 wells, with a maximum water injection pressure of 49MPa, a maximum formation temperature of 148℃, and a maximum injection rate of 2800m³/d.
Mining of Ideological and Political Elements and Teaching Design in Computer Science and Technology Courses
Under the guidance of the "full-process, all-staff, and all-round education" philosophy, the integration of professional courses with ideological and political education has become one of the core tasks in higher education reform. As a key discipline driving the development of the digital economy, the Computer Science and Technology major contains abundant ideological and political resources in its curriculum system. This paper takes the courses of Computer Science and Technology as the research object. Firstly, it expounds on the era value and practical significance of ideological and political construction in courses. Secondly, it systematically mines the ideological and political elements in the core professional courses from four dimensions: family and country feelings, scientific spirit, professional ethics, and ethical norms. Finally, it proposes a four-in-one teaching design framework of "goal guidance - content integration - method innovation - evaluation guarantee", and provides practical cases combined with typical courses such as Data Structure and Numerical Analysis. The research aims to provide reference ideas and schemes for the implementation of ideological and political education in computer-related professional courses, and realize the organic unity of knowledge impartment and value guidance.
Ideological and Political Education in Courses
Measurement, Regional Differences, and Dynamic Evolution of Agricultural New-Quality Productive Forces
Agricultural new quality productive forces constitute a key driver for advancing high-quality agricultural development and represent an essential pathway toward realizing Chinese-style agricultural modernization. Based on a balanced panel dataset comprising 284 prefecture-level cities in China from 2008 to 2023, this study constructs a comprehensive evaluation framework of ANQPF from the dimensions of new laborers, new objects of labor, and new means of labor. A vertical–horizontal differentiation method, fixed-base efficacy coefficient method, and linear weighted aggregation method are applied to measure the level of ANQPF. Furthermore, Dagum Gini coefficient decomposition, kernel density estimation, traditional Markov chain, and spatial Markov chain models are employed to investigate regional disparities and dynamic evolution characteristics. The empirical results reveal the following: (1) The national average level of ANQPF shows a steady upward trend. Although the levels and contribution rates of new laborers, new objects of labor, and new means of labor all exhibit continuous growth, heterogeneity across dimensions remains. (2) The Dagum Gini coefficient indicates that overall disparities remain stable, while intra-regional, inter-regional, and transvariation density differences are all significant, with inter-regional disparities playing a dominant role. (3) Kernel density estimation shows that the national distribution exhibits a multi-modal and complex pattern, with evolving characteristics over time. The eastern region demonstrates leading and concentrated advantages, the central region shows stable improvement, the western region remains relatively lagging and dispersed, and the northeastern region displays a unique pattern with greater volatility. (4) Traditional and spatial Markov chains reveal system stability, club convergence, and transition rules shaped by spatial dependence. Based on the above findings, this study proposes some policy implications.
Agricultural New Quality Productive Forces
Vertical–Horizontal Differentiation Method
Exploration and Research on OCR System for Standardized Yi Character
Optical Character Recognition (OCR) refers to the process of analyzing, understanding, and recognizing textual information in image files, which is beneficial for extracting and collecting standardized Yi text information from paper materials. Using Tesseract-OCR software, based on the coding standards of standardized Yi characters and the font characteristics of standardized Yi characters, a deep learning training and recognition result validation were conducted using Long Short Term Memory Neural Network (LSTM) for standardized Yi character recognition. The Python programming language called OpenCV library, Pytesseract library, and PyQt5 library to achieve the construction of a standardized Yi character recognition system. Experiments show that the system can realize the characters recognition of Yi characters in Baiti, Songti, Heiti and Xiheiti, and has off-line operation and high recognition accuracy.
Exploring AI-Enabled Pathways and Innovations for Cultivating Application-Oriented Talents
Against the backdrop of the rapid development of artificial intelligence technology and the increasing prevalence of microcontroller unit (MCU) technology, traditional teaching models are struggling to meet the current societal demands for the cultivation of application-oriented talents. This paper takes MCU teaching as an example to delve into the challenges in the current cultivation of application-oriented talents and the new opportunities brought about by AI empowerment. It elaborates on the innovative application pathways of AI technology in key aspects of MCU education, such as teaching, practical training, and capability evaluation. By constructing an AI-empowered MCU talent cultivation model, it achieves personalized teaching, intelligent practical guidance, and precise capability assessment, effectively enhancing students' comprehensive quality and innovative abilities in MCU system design and application development. The research results indicate that the AI-empowered educational model can significantly improve the efficiency and quality of MCU talent cultivation, providing new ideas and methods for the principles of MCU and the cultivation of application-oriented talents. It holds significant theoretical value and practical significance for promoting educational modernization and aiding industrial upgrading.
Development of Community Integrated Facilities for Children and Elderly under the Background of Urban Renewal
This study focuses on the community facilities for both young children and elderly people in China under the context of urban renewal. It first explores the development process and current research status of these facilities, and discusses their potential development in relation to the actual situation in China. Furthermore, it summarizes specific implementation paths by incorporating the experience of Japan in policy formulation, institutional operations, and facility construction regarding integrated facilities for young children and elderly people. Finally, the study provides multi-dimensional and multi-level suggestions for the development of these facilities in China, drawing on both the current challenges and the Japanese experience.
Industrial Spatial Layout of the Changjitu Region
Against the background of economic globalization and Northeast China’s revitalization, this study focuses on the Changjitu Region (covering 37 counties/cities centered on Changchun, Jilin City, and Yanbian Korean Autonomous Prefecture), a core node of the Tumen River cooperation and a gateway to Northeast Asia. Using POI data (85,451 in total) crawled from Baidu Maps, it applies GIS tools (e.g., ArcMap’s Kernel Density Estimation, Mean Center) and Natural Breaks Classification to analyze industrial spatial patterns. Results show: 1) The three industries present a “southeast-northwest” distribution direction, centered on the Changchun-Jilin Urban Agglomeration. 2) The primary industry clusters in plains and water areas; the secondary industry (with auto industry accounting for 42% of regional industrial output) agglomerates in Changchun-Jilin and Yanbian; the tertiary industry concentrates in major cities. 3) Traditional heavy industry (58% of total) and insufficient regional coordination remain issues. This study provides a basis for optimizing the region’s industrial spatial layout.
Digital Transformation and Performance in the New Energy Vehicle Industry from a Resource Orchestration Perspective: A Case Study of BYD
Against the backdrop of the global digitalization trend, the new energy vehicle (NEV) industry, recognized as a strategic emerging sector, has increasingly embraced digital transformation as a crucial pathway to enhance firms’ core competitiveness. This study takes BYD as a representative case to examine the process and performance outcomes of digital transformation in NEV enterprises from the perspective of Resource Orchestration Theory (ROT). Specifically, the study first identifies the key driving factors behind BYD’s digital transformation through an in-depth case analysis. It then explores the mechanisms through which resources are orchestrated during the transformation process. Finally, it evaluates transformation performance from both financial and non-financial dimensions. The findings reveal that effective resource orchestration significantly supports the success of digital transformation in NEV enterprises. BYD’s experience provides valuable insights and practical implications for other firms in the industry seeking to design and implement their own digital transformation strategies.