Abstract: To address the game-theoretic challenges in shared electric bike recycling between government and operators, this study develops an evolutionary game model to analyze their decision-making interaction mechanisms. By solving replicator dynamic equations and Jacobian matrices, we identify evolutionarily stable strategies. Using Matlab simulation tools, we quantify the threshold effects of environmental taxes and recycling subsidies on equilibrium decisions, revealing the critical synergy between policy incentives-penalties mechanisms and technical standards in enhancing recycling rates. This research provides quantitative decision-making support for resolving the dilemma between shared electric bike recycling and government regulatory oversight. Read More

Abstract: In this paper, due to the inspiration of the future fuel policy change in The Formula One, I explain and evaluate that rise in unemployment is caused by the decrease in oil price, vice versa. The explanation part involves the analysis of the change in demand and supply, how it relates to the aggregate demand and hence how it influences the unemployment by using demand and supply model and phillips curve. The evaluation part includes the OLS regression analysis in order to calculate the regression line and significance test which aims to check the validity of the linear relationship. Overall, this model can be used to make prediction for the future, either oil price or unemployment by each other. I believe this research will contribute to the prediction for future unemployment. Therefore, it is beneficial for the governments’ macro policies enaction that satisfies country’s macroeconomic aims. Read More

Abstract: Against the backdrop of actively addressing climate change and promoting sustainable development globally, green innovation in enterprises has become a key driving force for achieving coordinated economic and environmental development. The wave of digital transformation has brought new opportunities and new means for green innovation in enterprises, and financial support is an important support to ensure the smooth implementation of green innovation activities in enterprises. This article deeply analyzes the financial support mechanism for green innovation in enterprises under the background of digital transformation, aiming to reveal how finance can assist green innovation in enterprises through various channels and methods. At the same time, it explores the problems existing in the current mechanism and proposes optimization suggestions, providing theoretical reference and practical guidance for promoting green innovation in enterprises and promoting green economic development. Read More

Abstract: In order to solve the problem that automobile enterprises want to be able to keep track of the satisfaction of a large number of consumers with new energy vehicle products at all times, this paper proposes a scheme based on the CatBoost machine learning model to analyze the influencing factors of the satisfaction of new energy vehicle products. This scheme first uses market research methods and SPSS software to obtain the relevant original data; Next, the box plot is used to find outliers, the R language function is used to find missing values, and the missing values are filled with mean and mode respectively according to the characteristics of the dimension data, and then the Min-Max method is used to standardize the data. Finally, the principle of the CatBoost model is introduced; The results show that range, safety and economy are the indicators that consumers are more concerned about, and the results meet the actual requirements. Based on the research conclusions of this paper, it can provide reference and basis for improving product satisfaction and precision marketing of enterprises. Read More

Abstract: With the rapid development of globalization and tourism, the issue of spatial justice has gradually come to the fore, becoming an important factor restricting the sustainable development of tourism. Based on the theory of spatial justice in tourism, this paper systematically sorted out the status quo, challenges and countermeasures for the protection of residents' rights and interests in the development of rural tourism through the method of literature analysis. After the study, it is found that the rights and interests protection problems of residents in rural tourism mainly focus on economic rights and interests: uneven distribution of tourism income, social and cultural rights and interests: protection of traditional lifestyle and culture, environmental rights and interests: impact of tourism activities on the natural environment, participation in decision-making: the role and power of residents in tourism management of these four aspects, so as to put forward the activation of tourism easement contract mechanism to protect the interests of villagers in the right to use the land, the implementation of the tourism attraction rights of the shareholding system to achieve a fair distribution of tourism revenue, Strengthening community participation and capacity building to enhance villagers' bargaining power and participation, and establishing a policy support and legal framework to protect the system. Read More

Abstract: Using the panel data of 20 sports enterprises in China from 2018 to 2023 and using SYS-GMM model to overcome the endogenous problem of diversification, this paper discusses the dynamic impact of diversification strategy on the business performance of sports enterprises, constructs a dynamic threshold model, and analyzes the nonlinear relationship between diversification strategy and business performance of sports enterprises under different business sizes. It is found that under the condition of controlling the endogeneity of diversification, there is a premium effect on the impact of diversification strategy on business performance of sports enterprises; The interaction term between business size and business diversification index is included, and there is a trend from diversification discount effect to diversification premium effect; The regression results of the dynamic threshold model show that there is indeed a phenomenon that the diversification discount effect has changed into the diversification premium effect, and compared with sports service enterprises, sports goods enterprises need a larger business size to implement the diversification strategy. Read More

Abstract: This research conducts an in - depth analysis of the development of MaiTian Energy Co., Ltd. in the new energy storage industry based on the ESCP (Environment - Conduct - Structure - Performance) paradigm. By analyzing the current environmental factors such as policies, technologies, and markets faced by the new energy storage industry, studying the corporate behaviors of MaiTian Energy in technology research and development, market layout, business models, etc., exploring its impact on the market structure, and evaluating the company's market performance, this research puts forward strategic suggestions for the sustainable development of MaiTian Energy in the new energy storage industry, aiming to provide reference for enterprises in the industry. Read More

Abstract: Since 1995, the Chinese Basketball Association (CBA) has made a huge improvement in business development, hiring foreign players and basketball fans' engagement. However, comparing with the NBA (National Basketball Association), CBA still faces impressive challenges in financial scale, influence in the market and operating efficiency. This paper will analyze the difference between two leagues, by using the date-driven and SWOT analysis, which is able to offer CBA some advice to develop CBA into an advanced and more commercial accessible basketball league. Read More

Abstract: This thesis mainly focuses on exploring and evaluating the effects of green fiscal policy in the context of high-quality economic development. As the global economy pursues high-quality development, green fiscal policy serves as an important means to promote sustainable economic development. By optimizing resource allocation and guiding capital flows towards environmental protection, energy conservation, and new energy fields, green fiscal policy plays a positive role in enhancing the quality of economic growth. This thesis delves into the inherent relationship between green fiscal policy and high-quality economic development and explores the specific impact of green fiscal policy on high-quality economic development through empirical analysis methods. The research results show that the implementation of green fiscal policy significantly promotes high-quality economic development, not only improving the efficiency of economic growth but also enhancing the ecological environment and promoting sustainable economic and social development. Additionally, this thesis constructs a comprehensive evaluation system for the effects of green fiscal policy, aiming to provide scientific and systematic decision-making support for policymakers and contribute to a deeper understanding of the role and impact of green fiscal policy in high-quality economic development. Read More

Abstract: In recent years, environmental and social issues have frequently occurred on a global scale. With the introduction of China's carbon peak and carbon neutrality goals, the ESG (Environmental, Social, and Governance) concept has become a crucial tool for enterprises to achieve sustainable development. Establishing a comprehensive ESG management system and a robust ESG information disclosure mechanism has become an inevitable trend for corporate growth. However, due to the inherent limitations of alcoholic beverage companies, they face challenges such as high wastewater discharge, significant pollution loads, elevated production costs, and difficulties in corporate management. This paper aims to analyze the financial indicators and ESG performance of Wuliangye Company, examining its development direction from the perspectives of environmental responsibility, social responsibility, and corporate governance. It explores the comprehensive impact of ESG on corporate financial metrics and proposes feasible recommendations and actionable implementation plans based on practical conditions. Finally, the conclusion suggests that enterprises should actively respond to national development policies, enhance their understanding of ESG information disclosure, improve the quality of ESG disclosures, and establish a clear ESG management system framework. Read More

Abstract: Currently, the energy industry is at a critical stage of transformation and upgrading. Amid the shifts in global energy structures, mounting environmental pressures, and rapid technological changes, advancing the energy industry towards high-efficiency, clean, and low-carbon development has become a major technical challenge that must be addressed. The widespread application of digital and intelligent technologies provides new opportunities and driving forces for innovative development within the energy industry. However, substantial challenges and bottlenecks exist across technical, managerial, policy, and economic dimensions in the digital and intelligent empowerment of the entire energy industry chain. Strategies such as exploring automated production control, innovating in smart operations, enhancing the safety of new productive force empowered by digitalization and intelligentization, and strengthening the "green" edge of the entire industry chain should be actively promoted to advance the high-quality development of the energy industry chain. Read More

Abstract: Agricultural development undertakes the important mission of ensuring food security and promoting the development of people's livelihood. Therefore, it is of great significance to evaluate the logistics capacity of agricultural products for the healthy development of agricultural product markets. In this paper, the consumption capacity, production capacity, transportation capacity and informatization degree of agricultural product logistics were selected as indicators to construct the evaluation model of regional agricultural product logistics capacity in Henan Province, and the development status of agricultural products was comprehensively analyzed by factor analysis. The results show that there is a large imbalance and regional differences in the logistics capacity of agricultural products in Henan Province. This paper puts forward a series of countermeasures and suggestions to promote the rapid development of the agricultural product logistics industry in Henan Province, and contribute to the comprehensive promotion of rural revitalization and the creation of a major agricultural province in the new era. Read More

Abstract: With the proposal of the "Double Carbon" goals, the work of carbon peaking and carbon neutrality has been comprehensively promoted. How to improve, logistics efficiency while achieving low-carbon development in the logistics industry has become an urgent issue to address. This study takes 16 prefecture-level cities in Anhui Province as decision-making units, constructs an efficiency evaluation index system, and uses the three-stage DEA model and Malmquist index model to measure the static and dynamic efficiency of the logistics industry in Anhui Province. The Tobit model is then employed to analyze the factors in social life that influence the development of the logistics industry. Finally, reasonable and effective countermeasures and suggestions are formed. The research aims to enhance the overall level of logistics in Anhui Province, provide options for industrial pathways for logistics development under the low-carbon background, and achieve high-quality development. Read More

Abstract: The New Deal was a significant economic policy reform in American history, aimed at addressing the economic crisis brought about by the Great Depression. The core content of the New Deal encompassed three aspects: relief, recovery, and reform. Through state intervention in the economy, it alleviated social tensions and promoted economic recovery. This paper analyzes the background, policy impact, effectiveness, and controversies of the New Deal, and explores its implications for contemporary China's economic issues. Read More

Abstract: With the rapid development of Internet of Vehicles technology, the application of Internet of Vehicles data in the automotive sales field has gradually become an important means to improve sales efficiency and customer experience. This paper aims to study and construct a monitoring system for intelligent automotive sales systems based on connected vehicle data. First, handle the missing values and outliers according to the different characteristics of the Internet of Vehicles data; Then, feature engineering is carried out based on the distribution trend of the data and the relationship between feature dimensions; Finally, build an intelligent sales system that includes the data collection layer, data transmission layer, data storage and processing layer, business logic layer and application layer. The research results show that the system can effectively improve the accuracy and efficiency of car sales, provide strong support for the decision-making of car enterprises, and has significant practical significance and application value. Read More

Abstract: The Rural Revitalization Strategy is the key initiative for achieving a well-off society in China and plays a crucial role in promoting agricultural and rural economic development. In 2022, the 20th National Congress of the Communist Party of China clearly proposed the implementation of the Rural Revitalization Strategy, emphasizing the goals of "prosperous industries, eco-friendly living environments, civilized rural culture, effective governance, and improved living standards" as essential requirements for building a moderately prosperous society in all respects. "The strength of agriculture, beauty of rural areas, and prosperity of farmers" directly determine the level of the moderately prosperous society and the quality of socialist modernization. As an important region in the rural economic development of Guizhou Province, Bozhou District in Zunyi City has adopted the Rural Revitalization Strategy as the main driver of economic and social development, accelerating agricultural modernization, enhancing agricultural quality, efficiency, and competitiveness, in order to achieve overall rural revitalization. Read More

Abstract: This study explores the relationship between water resource carrying capacity and the coordinated development of the water-economy-ecosystem in Sichuan Province in the future. An assessment framework composed of four subsystems with a total of fourteen indicators is constructed, covering nearly fifteen years of data from 2008 to 2022. Principal component analysis is utilized for the analysis, and the results show that the principal components integrate key elements such as economy, efficiency, water resource systems, and population, revealing the importance of these factors in determining water resource carrying capacity. The water consumption per ten thousand GDP and per ten thousand industrial added value in Sichuan Province are significantly lower than the national average level, indicating an overall upward trend in water resource carrying capacity, reflecting Sichuan Province's high level of water resource utilization efficiency, which far exceeds the national average. Read More

Abstract: Under the background of the data age, tourists' perception based on Internet expression is of great significance to the shaping of destination image, and good destination terrain image has also become the key to attract tourists. Taking the six ski resorts in Chongli as an example, this study analyzes the destination cognitive image, destination emotion and overall destination image perception of the relevant data through Web text data mining. The results show that: from the perspective of cognitive image, tourists have a high awareness of the six ski resorts in Chongli, including skiing, ski resorts and hotels. From the perspective of emotional analysis, tourists are relatively satisfied with the tourism resources and tourism environment in the resort, and the overall positive emotions are dominant; From the perspective of overall image perception, the six ski resorts present a destination image that is mainly ski tourism and has strong accessibility. Read More

Abstract: The rapid expansion of Internet data has significantly enriched the landscape of research in tourism destination marketing. This study examines user feedback on four social media platforms between March and May of 2023 and 2024, focusing on comments related to Zibo barbecue and Tianshui spicy hot pot. These culinary offerings serve as pivotal drivers of local cultural and tourism consumption, thereby fostering economic growth. Leveraging the technology acceptance model, this research delves into the consumer psychology behind the transition from information reception to travel intention formation. By enhancing the theoretical underpinnings of food marketing, this study offers a multifaceted exploration of "food + travel" promotional strategies. It proposes actionable approaches for cultivating local distinctiveness, aiding cultural and tourism authorities in establishing unique cultural brands, elucidating the essence of intellectual property marketing, and furnishing insights for local promotional efforts to attract a larger tourist influx. Read More

Abstract: In an era characterized by increasing complexity in financial systems and accelerating digital transformation, the role of auditors has undergone a fundamental shift. Once perceived primarily as watchdogs of financial accuracy, auditors are now being repositioned as strategic partners in fostering corporate transparency and accountability. This paper explores the theoretical and practical evolution of the auditing profession, particularly in the face of digital disruption, stakeholder activism, and regulatory demands. It synthesizes key perspectives from agency theory, stakeholder theory, and institutional theory to examine how auditors contribute to trust-building in capital markets. Furthermore, it addresses the implications of emerging technologies—such as artificial intelligence, blockchain, and data analytics—on audit methodology, independence, and assurance quality. The paper concludes by offering insights for policymakers and practitioners to strengthen audit effectiveness in the digital age. Read More

Abstract: Green space equity development is a necessary pathway to achieve urban modernization and a crucial driving mechanism for enhancing urban resource utilization efficiency and resident life satisfaction. Green spaces are an essential component of urban ecosystems, not only mitigating the urban heat island effect but also playing a significant role in human comfort due to the ecological service value of vegetation. Equity is a core value persistently pursued in urban spatial and social development. This paper aims to further refine the theoretical research on urban green space equity from multidimensional perspectives by summarizing the development process of urban green space equity. It holds significant practical implications for improving urban ecological environment quality, promoting healthy urban living, and advancing urban green space development. Focusing on urban green spaces as the research subject, this study employs the literature review method to examine the main advancements in urban green space research over the past two decades, including the expansion of the connotation of urban green space and the diversification of its types. This contributes to understanding the context and value of urban green space research and refining the existing framework of urban green space studies. Read More

Abstract: In the internationalization process of family enterprises, the interaction between innovation strategy and brand marketing is the core driving force for their success. This paper analyzes the mechanism of this two-way interaction: innovation strategy significantly improves brand competitiveness and value-added through product, technology and marketing model innovations, and promotes brand marketing; brand marketing guides innovation through positioning, accelerates the transformation of communication results, and provides support for innovation through brand loyalty. The study points out that the interaction is affected by multiple factors such as internal governance, resource endowment and external policies, market competition and so on. Therefore, the thesis proposes optimization strategies from the perspective of internal and external synergy: internally, it is necessary to improve the governance structure, integrate key resources, and cultivate composite talents; externally, it is necessary to strengthen the cooperation between industry, academia, and research, make use of professional service institutions, and actively utilize the policy support. This study aims to provide theoretical guidance and practical reference for family-owned enterprises to realize the positive interaction and synergy between innovation and brand in their internationalization journey. Read More

Abstract: Aging and urbanization are two major population problems facing the world today. Since the beginning of the 21st century, China has stepped into an aging society, and the pace of urbanization is accelerating. Cities are not only responsible for the country's success in the global competition, but also the main driving force of national economic growth. However, as the main area of population accumulation, the severity of aging is particularly prominent. Therefore, it is very important to solve the problem of urban population aging for the development of cities and the future development of the country. Based on China's special aging development trend and the country's future macroeconomic development strategy, the construction of rural elderly care community has become a solution with multiple benefits. This study constructs the design framework of the five dimensions of the sustainable development design concept, site selection and layout, function and zoning, living space and leisure activity space of the pastoral elderly care community, hoping to build the pastoral elderly care community according to local conditions, actively respond to population aging, and provide a replicable implementation path for solving the pension dilemma of the megalopolis. Read More

Abstract: In recent years, studying abroad has become an increasingly important educational pathway for Chinese students, with the UK emerging as a favored destination for its prestigious universities, international environment, and long-standing academic reputation. This study investigates how Chinese students and their parents perceive and make decisions about studying in the UK, particularly focusing on how these perceptions are formed and reflected through Xiaohongshu, a famous Chinese social media platform. Employing a mixed-methods approach, the research combines a quantitative survey of 75 university students in China with qualitative analysis of over 16,000 tokens of user-generated text from Xiaohongshu, using Python tools for sentiment analysis, keyword extraction, and topic modeling. The results reveal that while students are largely motivated by educational quality, global rankings, and career advancement, concerns about tuition costs, language barriers, and safety remain prominent; based on these insights, the study recommends that UK institutions enhance their presence on Chinese digital platforms and offer more personalized cultural and emotional support to better address the needs of prospective international students. Read More

Abstract: This paper takes Yanta District of Xi’an as a case study to explore the supply-demand relationship and spatial layout optimization strategy of urban park green spaces. Through a combination of social analysis and spatial analysis, it investigates the usage characteristics and satisfaction of residents in Yanta District regarding urban park green spaces, analyzes the demand differences for park green spaces among different resident groups, and conducts an in-depth analysis of the service scope, vegetation coverage, and accessibility of park green spaces in Yanta District using multi-source data. The results show that there are problems such as unequal spatial distribution and poor overall accessibility of park green spaces in Yanta District. Based on this, this study introduces the concept of pocket parks, optimizes the site selection scheme of park green spaces using a location-allocation model, and verifies the rationality of the site selection through 3D elevation modeling. The study indicates that the optimized pocket park site selection can significantly improve the service level of park green spaces in the western green-deficient areas of Yanta District, enhance residents' happiness and satisfaction, and provide a scientific basis and practical guidance for the layout optimization of urban park green spaces. Read More

Abstract: This paper explores the supply chain decision-making problem under bilateral power equivalence based on the equity concern perspective. Specifically, the equilibrium solutions of the Nash game under risk-neutral, supplier fairness concern and retailer fairness concern are derived and comparatively analysed in the case of power equivalence between upstream and downstream firms in the supply chain. The results show that the retail price is largest when the retailer has fair concern preferences, followed by the risk-neutral and supplier fair concern preferences; the production inputs and the supplier's expected profit are largest when the supplier has fair concern preferences, followed by the risk-neutral and retailer fair concern preferences; the retailer's expected profit is largest when the retailer is risk-neutral, followed by the risk-neutral and supplier fair concern preferences; the retailer's expected profit is largest when the retailer has fair concern preferences, followed by the supplier fair concern preferences, followed by the retailer fair concern preferences. Retailers' expected profits are largest when they are risk-neutral, followed by when retailers have a fair concern preference and smallest when suppliers have a fair concern preference. Read More

Abstract: The present paper presents a precise calculation of the campus area of Jianghan University using the Monte Carlo algorithm. This method is demonstrated to be both efficient and practical in estimating the area of complex irregular shapes. The Monte Carlo method is a probabilistic approach that transforms geometric area problems into models through the principles of random sampling. In the implementation stage, the vector boundary data of the campus is initially acquired via map APIs in order to define the regional judgment criteria. Subsequently, many uniformly distributed random points are generated within a bounding rectangle covering the campus. The calculation of the proportion of points falling within the campus area is achieved by meticulously enumerating the points and subsequently determining the area of the campus. This proportion is then combined with the area of the bounding rectangle to estimate the actual area of the campus. The implementation of the algorithm is undertaken using Python programming, and the positive correlation between the number of sampling points (e.g., millions) and accuracy is verified. The experimental results obtained from this study indicate a high degree of reliability in calculating the area of Jianghan University. It is further demonstrated that errors can be reduced by increasing the number of sampling points or by averaging multiple trial results. Read More