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.
A Study of Milk Tea Consumption Behavior among University Students Based on Structural Equation Modeling: The Mediating Role of Health Consciousness
To explore the mechanisms influencing university students’ milk tea consumption behavior amidst trends favoring healthy consumption and to clarify the mediating role of health consciousness, this study employed the Theory of Planned Behavior (TPB) and established a structural equation model (SEM) with health consciousness as a mediating variable. An empirical study was conducted with 547 university students in Lijiang. The results indicate that attitude toward the behavior and subjective norm positively influence consumption behavior, whereas perceived behavioral control has no significant effect on consumption behavior. Health consciousness partially mediates the relationship between attitude toward the behavior and consumption behavior, with a more pronounced effect among lower-year students. This study validates the theoretical framework and provides empirical support for the health-oriented upgrading of milk tea products, differentiated communication strategies, and optimization of consumption scenarios.
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Research on the E-commerce Model of IP Trendy Toys Empowering GI Agricultural Products for Rural Revitalization
Under the impetus of the "Digital Commerce Revitalizes Agriculture" policy and the deepening implementation of China's rural revitalization strategy, Geographical Indication (GI) agricultural products have established a solid industrial foundation—by 2025, the number of registered GI products nationwide had exceeded 3,500. However, this sector still faces numerous challenges: low product value-added, outdated brand image, fragmented and short-term agricultural support models, and declining consumer trust in agricultural product quality. This paper focuses on the integration pathways between intellectual property-driven trend toys and e-commerce for GI agricultural products, providing certain insights for research in the field of cross-border empowerment support for cultural creativity and sustainable agriculture. Through systematic literature review and multiple case analyses, this paper establishes a four-dimensional core framework comprising "intellectual property-driven trend toy innovation + GI agricultural products + digital traceability + ESG-driven agricultural support", and Its feasibility was validated across five dimensions: theoretical foundation, market competition, operational logic, marketing alignment, and profit sustainability. The study found that this model, which relies on asset-light operations, order-driven production, and a transparent traceability mechanism, effectively aligns closely with Generation Z's consumption preferences and the national rural revitalization policy. This measure can increase the product's added value by 30%–50%, and reduce waste of agricultural products at the same time.It provides a replicable pathway for brand upgrading of geographical indication products and long-term agricultural support.
EU Artificial Intelligence Act Article 50 Rules and Their Implications for the Construction of China’s Artificial Intelligence Legal System
In August 2026, the European Union published its Artificial Intelligence Act and formally commenced its implementation, marking the first comprehensive legislation on AI oversight and control to enter the enforcement phase. The Act centres on “mandatory disclosure of AI identity, deep labelling of generated content, and risk-based systemic prevention and control,” and establishes a full-chain, all-encompassing, operable, and verifiable rule system. Meanwhile, China is at a critical juncture of moving toward comprehensive AI legislation. Notably, the 2026 Legislative Plan of the State Council made arrangements to accelerate comprehensive legislation for the sound development of AI. This paper systematically reviews the institutional structure and implementation logic of the transparency rules under the EU Artificial Intelligence Act, then analyses the existing framework and legislative progress of China’s AI legal protection system. On this basis, it explores, from three levels—legislative model, institutional design, and implementation mechanisms—the reference value of the EU experience for China, and proposes pathway recommendations for an AI legal system with Chinese characteristics.
A Study on the Assessment of Supply Chain Resilience in Chinese Enterprises —An Empirical Analysis of Panel Data from A-Share Listed Companies
Supply chain resilience is critical to enterprises in resisting external shocks and maintaining stable operations. Based on panel data from Chinese A-share listed companies, this study designs an evaluation index system for supply chain resilience from three dimensions: adaptability, resistance and recovery, and employs the entropy-weighted TOPSIS method to measure corporate supply chain resilience. The research findings are as follow: Firstly, the supply chain resilience of Chinese A-share listed companies generally exhibits a fluctuating upward trend, characterized by a rapid increase from 2005 to 2011, a slight decline from 2012 to 2015, a renewed rise from 2016 to 2021, and a modest decrease from 2022 to 2024, the overall level remains higher than that at the beginning of the sample period. Secondly, changes in supply chain resilience varied across the three dimensions: adaptability rose initially before declining later on, resistance steadily increased, and recovery capacity showed the most remarkable improvement. Thirdly, improvements in corporate supply chain resilience gradually shifted from enhanced adaptability to strengthened resistance and recovery capacity. Based on these findings, it is recommended that enterprises enhance their market responsiveness and resource allocation efficiency, manage financial risks appropriately, and refine diversified supply channels and disruption recovery mechanisms to promote the development of all dimensions of supply chain resilience.
Coupling Coordination between Corporate Digitalization and Green Efficiency under the Data Elements × Action Plan
The release of the Data Elements × Three Year Action Plan (2024 to 2026) provides an important real world setting for studying the coordinated development of corporate digital transformation and green efficiency. Using panel data of Chinese A share listed manufacturing firms from 2014 to 2023, this paper constructs a composite corporate digitalization index covering five dimensions (artificial intelligence, big data, cloud computing, blockchain, and digital technology applications) based on annual report text analysis. Corporate green efficiency is measured by a super efficiency SBM model that incorporates undesirable outputs. On this basis, a coupling coordination degree model quantifies the dynamic synergy between the two subsystems, and a panel Tobit regression identifies key drivers of the coupling coordination degree. The empirical sample covers 2,683 listed firms and 21,328 firm year observations, with a complete pipeline of indicator standardization, entropy weighting, and coupling coordination grading. The main findings are as follows. First, the mean digitalization index rises from 0.142 to 0.387 over the sample period, with an annual growth rate of 10.5 percent. Second, mean green efficiency rises from 0.524 to 0.681, indicating steady improvement. Third, the mean coupling coordination degree rises from 0.412 to 0.586, moving the sample from the verge of disorder to the transition between barely coordinated and primary coordinated stages. Fourth, government R&D subsidy intensity, environmental regulation intensity, and firm human capital exhibit significantly positive effects on the coupling coordination degree. The paper provides a quantitative framework and policy implications for advancing the synergy between the Data Elements × Action Plan and green low carbon transformation of manufacturing.
Research on the Transformation of Regional Economic Green Development Model Driven by Technological Innovation
This paper, addressing the needs of high-quality regional economic development and green and low-carbon governance, constructs a computational analysis framework for the synergistic effects of technological innovation, industrial structure, energy efficiency, carbon emission constraints, and economic quality. It also proposes a graph attention algorithm, TIGT-GA, for driving green transformation through technological innovation. This algorithm treats regions as graph nodes and constructs technological cooperation, industrial linkages, energy structure similarities, and policy synergies as graph edges. It introduces green constraint factors and a gated temporal state update mechanism into the traditional graph attention mechanism, thereby achieving prediction of regional green transformation index, level identification, and policy scenario simulation. Experiments are conducted using panel structure data from 2013 to 2023 for 30 regions, and comparisons are made with algorithms such as entropy-weighted TOPSIS, SVR, random forest, XGBoost, BP neural network, LSTM, and ordinary GAT. The results show that TIGT-GA has an RMSE of 0.041, an MAE of 0.028, an R² of 0.934, and a rating accuracy of 91.6%, which is 28.07% lower than the RMSE of ordinary GAT and 33.87% lower than XGBoost. Policy simulation results show that when R&D intensity increases by 20%, the regional average green transition index increases from 0.612 to 0.684, an increase of 11.76%; when R&D investment, digital infrastructure, and green finance support are synergistically improved, the green transition index reaches 0.712, and the carbon emission intensity per unit of GDP decreases by 10.27%. The research indicates that technological innovation can significantly promote regional green transformation, but its effect needs to be released through the synergy of technology diffusion, digital infrastructure, industrial upgrading, and green policies.
The Impact of the 2032 Brisbane Olympic Games on Tourism Development and Policy Responses
This paper takes the 2032 Brisbane Summer Olympics as the research object. Through a systematic comparison of the tourism effects of previous Olympic Games from 1984 to 2024, it assesses the expected impact of the Games on Brisbane’s tourism industry and proposes a corresponding policy framework. For Brisbane, the expected impact manifests across four dimensions: at the economic effects level, considerable benefits are anticipated but face the hard constraint of accommodation supply (currently only 24% of 2032 demand has been achieved); at the urban renewal level, A$19 billion in infrastructure investment will enhance carrying capacity, but post-Games utilization efficiency determines long-term outcomes, requiring Brisbane to draw on both the positive experience of Sydney’s careful planning and the negative lesson of Athens’ heavy construction, light operation; at the global exposure level, the visibility leap represents the greatest opportunity, but vigilance is needed against destination disillusionment caused by the gap between the extraordinary urban image presented during the event and visitors’ actual post-Games experiences; at the social tensions level, the historical trauma of Expo 88 necessitates the establishment of institutionalized community participation mechanisms—without these, social tensions will erode the positive value of the other three dimensions. Based on the above expected impacts, this paper proposes an inclusive tourism growth policy framework, arguing that only by integrating in-event reception capacity, post-Games legacy planning, sustained brand operations, and community benefit protection into a unified full-cycle governance framework can Brisbane transform economic opportunities into reality and achieve the leap from Australia’s third city to a globally renowned destination.
A Regression-Based Predictive Analysis of National Happiness Index: Evidence from the World Happiness Report (2006–2023)
This study investigates the relationship between economic development and national happiness using panel data from the World Happiness Report covering the period from 2006 to 2023. Previous studies have generally suggested that income is positively associated with subjective well-being, but questions remain regarding the stability of this relationship across countries and over time. To address these issues, this study employs a regression-based empirical framework that combines correlation analysis, baseline linear regression, income-group comparison using a Welch two-sample t-test, and a time-interaction regression model. In addition, a prediction framework is developed to estimate happiness outcomes under different economic conditions. The empirical results reveal a strong positive association between log GDP per capita and national happiness levels. Significant differences in happiness are also observed between high-income and low-income countries. However, the interaction analysis suggests that the economic effect on happiness remains relatively stable over the sample period. The prediction model further demonstrates that economic indicators possess substantial explanatory and predictive power for national happiness. Overall, the findings indicate that economic development plays an important but incomplete role in shaping subjective well-being across countries and that non-economic factors may also contribute to differences in happiness levels.
Macroeconomic Analysis of Hyperinflation in the Weimar Republic
This article argues that the hyperinflation in the Weimar Republic of Germany from 1921 to 1923 was not solely caused by "printing too much money", but rather the result of a systemic collapse of the three pillars of fiscal capacity, external balance, and public confidence. By examining the evolution of ideas from Fisher's quantity theory to the endogenous credit mechanism of Wicksell, and then to Lautenberg's institutional credit analysis, this article points out that the rapid expansion of the money supply is largely a passive response to deep-seated structural pressures. As fiscal deficits widen, compensation pressures intensify, and expectations continue to deteriorate, both the state and private sectors require increasingly large nominal currency balances solely to maintain basic transactions. The accelerated loss of public confidence has pushed up the velocity of currency circulation, making price increases a self reinforcing process that ultimately the Imperial Bank cannot control. Therefore, hyperinflation is not a mechanical result of monetary expansion, but the ultimate stage of systemic collapse of fiscal discipline, international solvency, and institutional credibility. This study suggests that sustained monetary stability relies less on limiting the quantity of currency and more on maintaining a credible fiscal foundation, controllable external obligations, and public trust in the currency and the country behind it.
Research on the Impact of Enterprise Digital Transformation on ESG Performance -- Based on the Perspective of External Concern
According to the resource-based view, signaling theory and information asymmetry theory, this study empirically explores how digital transformation can influence enterprise ESG performance. Thus, this study examines Chinese A-share firms listed between 2017 and 2023 and uses the two-way fixed effect model and the mediation effect test method, focusing on how media attention and analysts’ attention mediate this relationship. The study found that digital transformation significantly improved the corporate ESG performance; Media attention and analyst attention play a part in the intermediary effect, and the transmission role of media attention is more prominent. Research shows a positive impact of digital transformation on ESG performance through internal governance optimization, and also forms an effective external supervision and reputation transmission mechanism by improving information transparency and attracting the attention of external markets. This study provides theoretical support and management enlightenment for enterprises to optimize resource allocation in the process of digitalization and improve the ESG practice level with the help of an external governance mechanism.
Clothing Brand Incident Handling Decisions on Consumer Behavior from the Perspective of Service Recovery
In clothing brand service failure scenarios, with the improvement of information dissemination efficiency and the enhancement of consumer perception ability, the choice of event handling timing and service recovery methods by enterprises has gradually become an important factor influencing consumer response and sales conversion. Based on the service recovery theory and the customer forgiveness theory, this paper focuses on the matching mechanism of recovery timing and recovery methods and systematically explores the influence path of consumers' perception of enterprise support, forgiveness willingness, subsequent repurchase willingness and positive word-of-mouth communication willingness. The study used a combination of situational experiments and questionnaires to measure and analyze the relevant variables by constructing control scenarios of different timings and different remedies. The results show that there is a significant interaction between remedies and the timing of handling, and a reasonable match can effectively enhance consumers' perception of support and forgiveness for enterprises, and further promote repurchase behavior and positive word-of-mouth. The study concluded that the timing of remediation plays a key moderating role in service remediation decisions and is an important strategic variable for apparel brands to achieve relationship repair and sales recovery.
From Fast to Sustainable: The Influence of Cycling Fashion Strategy of Fast Fashion Brands on Consumers' Purchase Intention
In the context of global green, the traditional fast fashion mode has been criticized for its high resource consumption and serious environmental pollution. Facing the huge wave of the era responsibility, how to effectively and high-quality to long-term sustainable development has become the core challenge of fast fashion brands. Based on the theory of values attitude behavior hierarchy, this study uses the experimental design between groups to compare and analyze the response differences of two circular fashion strategies (Upcycle vs. Recycle) implemented by consumers in the sustainable transformation of fast fashion brands, aiming to reveal the psychological mechanism and relative effectiveness of the two in driving consumer behavior. The results show that for fast fashion products, the Upcycle type of environmental protection strategy has a stronger positive impact on the purchase intention than the Recycle type of environmental protection strategy, and the perceived value plays an intermediary role in the Upcycle type of environmental protection strategy. The conclusion of this paper enriches the research of sustainable marketing strategy, widens the development direction of fast fashion field, and provides practical guidance for fast fashion brands to develop differentiated sustainable marketing strategies.
The Promotion of Urban Cultural and Tourism Consumption by Sports Events: Taking the "15th National Games Table Tennis Competition (Macau Division)" as an Example
Driven by the dual strategy of building a strong sports nation and deeply integrating culture and tourism, large-scale sports events have surpassed the boundaries of competitive sports themselves and become the core carrier for empowering urban economic transformation and upgrading, activating cultural and tourism consumption potential, and shaping urban brand image. Using methods such as literature review, statistical data analysis, and case study analysis, this paper systematically examines the driving effect of sports events on urban cultural and tourism consumption. As large-scale public events, sports events serve as an important means of promoting regional economic development in cities through multiple channels, including tourist aggregation, media dissemination, and industrial linkage. For example, as large-scale public events, sports events can become an important driving force for promoting regional economic development in cities through multiple channels such as tourist gathering, media dissemination, and industrial linkage. Taking the "15th National Games Table Tennis Tournament (Macau Division)" as an example, this article systematically analyzes the specific role of sports events in promoting the optimization and upgrading of urban consumption structure and the deep integration of cultural tourism industry, focusing on three dimensions: promoting urban economic transformation, cross regional coordinated development, and dual upgrading of industry and consumption.
A Study on the Impact of Sci-Tech Finance Policies on the Value Added of Urban Accommodation and Catering Industries
The hotel and restaurant sector plays a crucial role. This sector has helped to stimulate consumption, create jobs and improve people’s standard of living. However, over many years, the sector has faced three major challenges: a lack of assets, a lack of collateral and difficulty in accessing finance. Fintech policies bridge the digital economy and financial services, offering new ways to address these issues. This study uses data from 276 Chinese cities covering the period from 2009 to 2023. We analyse a pilot programme known as the ‘Pilot Programme for Promoting the Integration of Science, Technology and the Financial Sector’. In this study, we treat this programme as a natural experiment. Using a multi-period difference-in-differences model, we examine the impact of fintech policies on the value added of the accommodation and food services sector. The results are as follows: first, fintech policies lead to a significant increase in the value added of this sector. After controlling for fixed effects related to cities and years, the net policy effect is 0.282. This result is statistically significant at the 1% level. This result has been confirmed by numerous robustness tests. Second, these policies serve to ease the constraints on financing for small and micro-enterprises. With easier access to finance, these firms can expand their operations, upgrade their equipment and move forward with digital transformation. This, in turn, increases the value added of this sector. Thirdly, the effects of the policies are not uniform across all cities. The more developed a city’s tourism industry is, the more pronounced the effects are. The impacts are also more evident in cities with advanced digital infrastructure. This study illustrates how fintech policies support the lifestyle services sector. It provides concrete evidence and practical guidance, contributing to the deepening of fintech reforms, as well as promoting high-quality development in the accommodation and restaurant sectors.
Power, Identity, and Interdependence: Rethinking Markets Through the U.S.-China Economic Relationship
U.S.-China trade relations are the world’s most consequential economic pairing and remain as relevant as ever in the face of their shift from hyperglobalization into a strategic rivalry. The pressing question is: why do ostensibly "neutral" market exchanges now function as tools of power, coercion, and the source of national identity? Markets are thus not neutral. Economic interactions between the U.S. and China show that these exchanges are shaped by the political institutions that govern them and influenced by national identity and state strategies. We will use a macro-political economic lens to view markets as social institutions, and economic interdependence as a social construct. We will examine the evolution of policy from the first Trump administration to the Biden Administration, and conclude on the present-day second Trump administration. In doing so, we can examine the consistency and stance of these administrations via their policies on tariffs, export controls, technology restrictions, and industrial policy. The conclusion is that economic relations reflect ideology and power. Concerns over national identity and legitimacy shape economic decision-making and this paper ultimately aims to understand economic conflict by integrating political economy with a sociological lens on institutions and identity
DesigningSocial Integration Products for Children with Autism SpectrumDisorder
Children with autism spectrum disorder (ASD) often have difficulty participating in the social life of the school, and most of the current intervention tools are based on structured training environments and may not meet the needs of daily social interaction. Therefore, in this paper, a Design Approach for social inclusion products is proposed based on the KANO model in a user-centric Design system. Semi-structured interviews and field observations were carried out to explore the initial needs of children with ASD, their parents and special education teachers, and from them, 19 essential requirements were identified. Further analysis of the demand was conducted using the KANO model and Better-Worse coefficient analysis; thus, they were divided into 'must-be', 'one-dimensional' and 'attractive' categories, and corresponding design priorities were determined. Safety and convenience are the basic requirements; therefore, many users have been satisfied by the added functions of multiple-person interaction and cooperative task guidance. Based on the above analysis, a functional framework of situational projection, social guidance and incentive feedback was constructed, and then prototypes were developed and tested with the target group. According to the results of the evaluation, the prototype has helped develop the social skills of children with ASD and is suitable for application in inclusive classrooms. In short, this study has used the KANO model to transform various user needs into practical design demands and provided a methodological path for inclusive product development in special education.
Analysis on Disease Types and Deterioration Mechanisms of Pig Mandibles from Huangshan Site in Nanyang
Natural pig mandibles excavated from the Huangshan Site, Nanyang, feature rich pores and high organic content and undergo serious composite deterioration under burial and post-excavation environments. Targeting bone relic conservation, this study selects fragmented pig mandible samples to identify disease types and microscopic deterioration mechanisms. Field surveys classify diseases into five categories: mechanical degradation, hygrothermal deformation, discoloration, mildew corrosion and salt efflorescence, with obvious coupled deterioration features. Multiple testing methods including ultra-depth-of-field microscopy, SEM, XRF, ion chromatography, XRD, FTIR, nitrogen adsorption and mercury intrusion porosimetry are adopted to characterize micromorphology, elements, anions, mineral phases, pore structure and water content. The results show the samples are dominated by carbonated hydroxyapatite with interconnected pores and an average water content of 39.86%; Cl⁻ and SO₄²⁻ are major corrosive anions. Bone deterioration follows a two-stage mechanism: preferential collagen degradation accompanied by synchronous dissolution of inorganic minerals. Weakly acidic groundwater and soil components induce latent underground damage, whereas drastic post-excavation humidity-temperature fluctuations and cyclic salt crystallization accelerate visible deterioration. This research reveals the complete deterioration evolution of prehistoric bone relics and offers theoretical and technical support for emergency field treatment and long-term museum preservation of analogous animal bone artifacts.
The Impact Mechanism of Land Transfer on New Quality Agricultural Productive Forces in Henan Province
Against the backdrop of accelerated agricultural modernization, in-depth research on the impact and transmission mechanism of land transfer, a key farmland resource allocation arrangement, on new quality agricultural productive forces is needed. Based on 2012-2022 China Family Panel Studies (CFPS) multi-period panel data, this paper takes Henan Province as the research object, constructs a multi-dimensional evaluation system for new quality agricultural productive forces, and empirically analyzes the impact effect, transmission mechanism characteristics of land transfer on new quality agricultural productive forces using fixed-effect models, mediating effect models and propensity score matching. The findings are as follows: (1) Land transfer has a significant positive driving effect on new quality agricultural productive forces, and this conclusion holds after endogeneity treatment and multiple robustness tests. (2) Off-farm employment and entrepreneurial behavior play mediating roles, forming two transmission paths: "land transfer – labor reallocation – productivity improvement" and "land transfer – entrepreneurship incentives – technology adoption". This research provides empirical evidence and decision-making references for improving the land transfer market system, formulating differentiated supporting policies and advancing comprehensive reforms of farmland institutions.
Research on the Construction Strategies of College English Smart Learning Community under the Background of New Liberal Arts
With the rise of new media and new concepts, there have been new opportunities and problems for college English teaching. Based on this background, building a College English learning community with intelligence can help improve the level of education, foster all-round development of college students, and cultivate new-era advanced specialized English talents who are open to the outside world and innovative. Building an intelligent learning community can be done to make good use of modern educational technology and build an efficient, interactive and personalized learning environment that meets the requirements of college English education in the new era. Through the construction of an intelligent learning community, strengthen interdisciplinary integration and innovation, students can have a more all-round learning experience and promote the reform and development of college English education.
Development of an Intervention Model for Sports Injury Prevention Behaviors in Male Bodybuilders: A KAP Theory Perspective
Objective: To explore the current status of knowledge, attitude, and practice (KAP) concerning sports injury prevention among male bodybuilders, analyze the interrelationships among these three dimensions, and develop an intervention model based on the KAP theory. Methods: A mixed sampling approach combining convenience sampling and snowball sampling was employed to recruit 434 male bodybuilders, who were then assessed using a self-designed KAP questionnaire (comprising 10 questions for each dimension: knowledge, attitude, and practice). Results: The mean scores for knowledge, attitude, and practice dimensions were (35.86±7.55), (38.82±7.61), and (37.59±7.02) points, respectively, out of a possible 50. The score rate for practice was lower than that for attitude but higher than that for knowledge. Bodybuilders with a history of injury scored significantly lower in both the knowledge and attitude dimensions compared to those without such a history (P<0.05). Correlation analysis revealed positive correlations among all three dimensions (r=0.292~0.625, P<0.01). Hierarchical regression analysis demonstrated that attitude significantly predicted practice (β=0.217, P<0.001); the Bootstrap mediation effect test indicated that attitude partially mediated the relationship between knowledge and practice (95% CI excluded 0). Conclusion: The sports injury prevention practices of male bodybuilders require enhancement, with attitude serving as a pivotal factor in behavior modification. Therefore, we have developed a four-stage progressive intervention model: "Knowledge Activation, Belief Shift, Practice and Rehearsal, Continuous Reinforcement".
On Humanistic Values in College English Reading Teaching from the Perspective of Discourse Analysis
For years, college English education across China has prioritized the training of basic language competencies. Educators mainly focus on improving learners’ listening, speaking, reading, writing and translation skills, yet pay insufficient attention to the humanistic education embedded in discourse teaching. The prevailing practice of prioritizing instrumental functions over humanistic cultivation makes it hard for college English courses to cultivate learners’ comprehensive humanistic literacy. These essential qualities include value orientation, cross-cultural awareness and critical thinking, even though language proficiency gets improved in the process. Based on the theoretical framework of discourse analysis and grounded in authentic classroom teaching cases, this research paper systematically sorts out humanistic connotations inherent to college English reading curricula. Textual analysis and instructional practice jointly verify that discourse analysis transcends its conventional positioning as a linguistic teaching technique and serves as a reasonable and practicable teaching path to advance humanistic education within college English classrooms.
Models and Improvement Suggestions for the Training Mode of High School Basketball Players in China
Against the backdrop of China’s vigorous drive to promote the integration of sports and education, the cultivation of high school basketball players has emerged as a pivotal component in developing the national basketball talent reserve system. This paper focuses on emerging issues in the training mode of Chinese high school basketball players. The purpose of this work is to advance suggestions on improving the cultivation system of high school basketball in China. This work reveals that need to balance resources for high school basketball, it is essential for Chinese high school basketball players to value both academic education and sports training and important for improve the overall level of high school basketball players. This paper may be helpful when planning for Chinese high school basketball reform. At present, China's basketball talent training system faces core problems such as uneven regional distribution of resources, prominent conflicts between academic study and training, rigid talent selection concepts, and fragmented tournament systems, which restrict the high-quality cultivation and reserve of basketball talents.
Return-Based Volatility Proxy Forecasting via a Residual-Correction LSTM–GARCH Hybrid Framework
Forecasting return-based volatility proxies is challenging in financial markets due to volatility clustering, heavy tails, and nonlinear dynamics. This paper proposes a residual-correction LSTM–GARCH hybrid framework, where GARCH provides a robust econometric backbone, while LSTM learns the nonlinear residual in the log variance-ratio space and performs multiplicative correction. Experiments on a representative ETF show that the proposed RC-LSTM–GARCH achieves better RMSE, MAE, and QLIKE than the GARCH baseline. The proposed design aims to combine the interpretability and stability of GARCH with the nonlinear representation ability of LSTM, thereby improving calibration under volatility-specific losses, and the framework can be extended to multi-asset and multi-horizon risk forecasting.
Construction and Application of Tobacco Business EnterpriseManagement System Based on Performance Excellence Model
In recent years, the tobacco industry has introduced a variety of management concepts, methods and tools, so how to straighten out the internal logical relationship between quality management, safety management, environmental management, lean management, standardized management and standardization work, and how to give full play to the multiplier effect of “complementing each other's strengths and forming a fist with one's fingers”. In view of this, we have introduced the model of performance excellence management and studied the idea of promoting the construction of “1416” comprehensive enterprise management system, i.e., focusing on the goal of “continuously improving the core competitiveness of the enterprise and striving to become a world-class enterprise”, and paying attention to “Four integration”, importing ‘a model’, applying ‘six steps’, further integrating management elements, optimizing management mode, promoting management upgrading, and forming a systematic and complete integrated management system with scientific norms and efficient operation, It will further integrate management elements, optimize management mode, promote management upgrading, and form a comprehensive management system that is systematic, scientific, standardized, and highly efficient, so as to gather power and empower the enterprise for high-quality development and modernization.
An Empirical Study of Robust Portfolios Based on Statistical Noise Reduction and Regularization Constraints
This research paper discusses the issue of out-of-sample robustness of portfolio optimization within a complex market environment. Within the mean-variance framework, we compare four methods for covariance estimation and weighting: a baseline model based on sample covariances, the Ledoit-Wolf shrinkage estimator, Garber's robust covariance estimator, and a minimum-variance model incorporating an L2 regularization term. This study uses data from 60 American stocks from 2019 to 2021, with four rebalancing cycles (5, 20, 60, and 100 days) were established, and a moving-window backtesting method was applied to evaluate the performance of the various methods in terms of returns, risk, and out-of-sample stability. The empirical results indicate that the L2 normalization model generates higher cumulative returns and Sharpe ratios during most rebalancing periods, demonstrating effective stabilization of the weights; Garbner's robust covariance technique demonstrates consistent resilience to downturns in high-volatility market environments; And Reduit-Wolf's contraction estimates also show a relatively stable improvement in sample skewness compared to the benchmark model. These results suggest that including a covariance noise or normalization term in the traditional expected value and variance-based approach to portfolio management helps reduce the impact of estimation error and market volatility on portfolio performance. The period of analysis for this paper is specified. Furthermore, it covers the observation period, highlights limitations related to market comprehensiveness and parameter selection, and provides guidance for future research by incorporating financial data from diverse sources and more advanced robust optimization techniques.
Construction of Social Credit System and the Cost of Equity Financing
As credit serves as the bedrock for orderly capital market operations, equity financing has become a mainstream fundraising approach for domestic listed enterprises. China has continuously rolled out national credit reforms and optimized unified corporate credit assessment criteria over recent years, bringing tangible changes to firms’ equity capital costs. Using all Chinese A-share listed firms from 2010 to 2020 as the research sample, this study adopts the multi-period DID approach to assess the policy effects of credit demonstration city pilots. The empirical outcomes reveal that the credit reform notably cuts firms’ equity financing costs, and this finding remains robust across various validation tests. This effect is more pronounced for enterprises featuring severe ownership-control divergence, weak equity restriction and non-Big Four audit services. Further mechanism tests prove that credit reforms ease information frictions and alleviate internal agency conflicts to achieve the cost-reduction goal. This research delivers theoretical references and empirical evidence for refining credit governance, streamlining capital market operations and supporting the high-quality development of the real economy.
The Impact of Digital Financial Inclusion on Urban Entrepreneurial Activity
Propelled by the rapid expansion of digital economy and the national ‘Mass Entrepreneurship and Innovation’ strategy, effectively stimulating urban entrepreneurial vitality has become a cornerstone of high-quality regional economic development. This study investigates the impact of digital financial inclusion on urban entrepreneurial activity, alongside its underlying transmission mechanisms. Utilizing a balanced panel data from 238 prefecture-level cities in China covering the period from 2015 to 2023, this paper deploys a two-way fixed effects model, an instrumental variable approach, and a two-step mediation effect model to conduct systematic empirical analysis. The findings reveal that digital financial inclusion significantly catalyzes urban entrepreneurial activity, a conclusion that withstands a battery of endogeneity treatments and robustness checks. Mechanism analysis demonstrates that digital financial inclusion drives urban entrepreneurial activity by mitigating financing constraints. Furthermore, heterogeneity analysis uncovers a pronounced spatial asymmetry demarcated by the Hu Huanyong Line: the stimulative effect is highly significant in cities on the southeastern side, whereas it remains statistically insignificant for their northwestern counterparts. Accordingly, this study advocates tor the continuous refinement of the digital financial inclusion framework to enhance financial accessibility for micro and small entrepreneurial entities, alongside the precise mitigation of financing constraints and the implementation of spatially differentiated digital finance policies. Additionally, optimizing the urban entrepreneurial ecosystem is paramount to fostering robust synergies among digital finance, public services, and industrial support.
The Impact of Digital Finance Development on Inclusive Credit of Local Small and Medium-sized Banks: An Empirical Study Based on Provincial Panel Data in China
As a crucial financial support for regional economies and small and micro enterprises, local small and medium-sized banks face numerous challenges in their inclusive credit operations. Although the emergence of digital finance has brought pressure for change to banks, it has also created new opportunities for banks of all sizes to address these challenges. To systematically explore the impact mechanism and actual effectiveness of digital finance development on micro-bank inclusive credit business, this paper utilizes panel data from various provinces in China and analyzes it using a fixed-effects model. Empirical findings show that the widespread use of online loans has greatly promoted the expansion of inclusive credit scale by local banks of various sizes, while maximizing the effective level of credit resource allocation. This, to some extent, intensifies competitive pressure among banks. This finding provides empirical evidence for understanding the collaborative development of digital finance and traditional financial institutions, and has important reference significance for optimizing regional financial policies and driving the digital transformation of micro-banks.
Construction and Application of a Big-Data-Driven Demand Forecasting Model for Fresh-Produce E-Commerce
This paper addresses the prominent operational challenges faced by China's fresh-produce e-commerce sector, including high demand uncertainty, large product loss rates, and coarse inventory management. From a big-data-driven perspective, we construct a lightweight demand forecasting model tailored to small- and medium-sized fresh-produce e-commerce enterprises and propose a set of accompanying dynamic inventory optimization strategies. The paper first reviews the current state and persistent problems of demand forecasting in fresh e-commerce. It then designs a four-dimensional multi-source data system covering sales, environment, scenario, and supply, together with a three-layer "data-algorithm-application" model architecture. Three inventory optimization strategies are then proposed: dynamic safety stock with precise ordering, differentiated category management, and end-to-end data collaboration. Finally, with Hema (Freshippo) as a case, this paper analyzes how its demand-forecasting and inventory-management practices can inform improvements to the proposed framework. The analysis shows that a big-data-driven lightweight forecasting framework can effectively raise the forecast accuracy and inventory turnover of small- and medium-sized fresh e-commerce enterprises without significantly increasing their technical threshold, offering useful references for the industry's digital transformation.
Zambia's Strategic Logic Between Chinese and Western Resource Development Models: An Analysis Based on the "Astute Fisherman" Framework
The "resource curse" has long puzzled scholars studying resource-rich nations: abundant natural resources rarely translate into sustained development, yet existing structural or institutional research rarely clarifies why countries with similar resource endowments take drastically different paths. Taking Zambia—Africa’s second-largest copper producer—as the primary case, this study addresses the core question of how such nations can break free from this curse by reinterpreting the "smart fisherman" theoretical framework. By tracking Zambia’s three-stage mining policy adjustments (2005-2010 privatization, 2011-2020 sovereignty awakening, 2021-present systematic advancement) and comparing it with Norway’s institutional advantages and the Democratic Republic of the Congo (DRC)’s governance failure, this study identifies three core drivers of transformation for resource-rich countries: investment diversification, rule-based bargaining, and capacity building. It defines national capacity as the core mediating variable, constructing an operational measurement system covering governance indicators, corruption control, and local value chain depth. The research verifies the core proposition that "national capacity is the key converter determining strategic success or failure," deepening discussions on small-state agency in resource curse theory and providing a theoretically rigorous, empirically grounded analytical framework for the transformation of Global South resource-rich nations.