In recent years, the digital economy has emerged as a new engine for global economic growth. As key partners in the Belt and Road Initiative, the five Central Asian countries have seen increasingly frequent agricultural trade exchanges with China. Based on trade data from 2015 to 2024, this paper first examines the current state of China’s agricultural exports to these countries in terms of trade volume and product structure. Subsequently, a measurement index system for digital economy development is constructed, and the entropy method is employed to assess the digital economy development levels of the five Central Asian nations. Furthermore, a gravity model is applied to analyze the impact of their digital economy development on China’s agricultural exports to the region. The findings reveal that the digital economy in Central Asia has shown consistent annual growth and exerts a significant positive effect on China’s agricultural exports to these countries. Finally, relevant policy recommendations are proposed based on the above analysis.

This paper aims to discuss the application prospect of intelligent logistics system in supply chain optimization, and aims to analyze the performance of intelligent logistics system and traditional logistics system in key indicators such as transportation efficiency, inventory cost, customer satisfaction, task completion rate and response time. The experimental results show that the intelligent logistics system has significant advantages in various indicators: transportation efficiency increased by about 30%, inventory cost reduced by about 20%, customer satisfaction increased by 15%, the task completion rate is as high as 99% and the response time is shortened to less than 0.5 seconds. These advantages are mainly due to the effective integration and application of the intelligent logistics system to the Internet of Things, big data, artificial intelligence and other advanced technologies. The research concludes that the intelligent logistics system has broad application prospects in the optimization of the supply chain, which can significantly improve the overall efficiency of the supply chain, and create greater economic benefits and social value for enterprises.

In recent years, supply chain finance (SCF), as an innovative financing model, has gained significant attention. However, the impact mechanism of SCF on the financing performance of core enterprises within the supply chain remains underexplored. Based on SCF theory, this paper analyzes the influence of SCF on the financing scale and cost of core enterprises. The paper first elaborates on the connotations and characteristics of SCF and examines the mechanisms through which SCF affects the financing performance of core enterprises from the theoretical perspectives of supply chain collaboration, resource dependence, and pecking order financing. Through case analysis, it is found that SCF can increase internal financing by enhancing commercial credit financing and operating profits while potentially reducing external financing through substitution effects, without significantly increasing the overall financing scale. However, SCF significantly reduces financing costs for core enterprises through the channel of financial flexibility. This study enriches SCF theory and provides valuable insights for core enterprises engaging in SCF practices.

This paper discusses the application of quantitative investment strategy in commodity futures market. Firstly, the basic concept of quantitative investment and its advantages in commodity futures market are expounded. Then, the trend tracking model, hedging model, seasonal model and comprehensive strategy model are constructed, and the principle and implementation method of each strategy are introduced in detail. Through simulation experiments, the four strategies are analyzed empirically, and the yield, Sharpe ratio and maximum shrinkage are selected as evaluation indicators. The study finds that different strategies have advantages and disadvantages in terms of returns and risks, and investors can choose according to their needs. This research provides theoretical basis and practical reference for the application of quantitative investment strategy in commodity futures market, which has practical significance and application value.

This study investigates the role of green finance in enhancing corporate sustainability competitiveness and proposes corresponding strategies. Green finance, as a financial activity supporting environmental sustainability, has become a vital tool for businesses to achieve green transformation and improve their competitive edge. By providing financial support, reducing financing costs, and fostering green innovation and technological advancements, green finance facilitates the transition towards sustainability. This research begins by analyzing the definition, key forms, and development trends of green finance, highlighting its role in promoting corporate green innovation, social responsibility, and brand value. It further explores how green finance provides businesses with diversified financing channels, reduces capital costs, and, as a result, enhances market competitiveness. The study also proposes strategies such as refining the green finance policy support system, promoting innovation in green financial products, and strengthening companies’ green transformation and environmental governance capabilities. These measures aim to assist businesses in achieving long-term sustainable development under the support of green finance. This research offers theoretical insights and practical guidance to advance the integration of green finance and corporate competitiveness in the context of sustainability.Introduction.

The application of big data technology in financial risk control has significantly enhanced the efficiency and accuracy of risk management. By collecting multi-dimensional data, financial institutions can construct precise risk assessment models to achieve real-time monitoring and early warning of risks. This paper explores the specific application scenarios of big data in financial risk control, including credit risk assessment, market risk prediction, operational risk prevention, and liquidity risk management, and analyzes its technical implementation paths, such as data collection and integration, data mining and analysis, risk assessment and monitoring, as well as early warning and intervention. The application of big data technology provides financial institutions with powerful risk prevention and control measures, promoting the steady development of the financial industry.

In the face of growing economic globalization, enterprises encounter more challenging resource allocation situations in international marketing. Therefore, this study intends to investigate the phenomenon of misallocation of international marketing resources in detail, including its manifestation and causes and mechanisms, influence paths, and possible optimization ways. In addition, an empirical method based on questionnaires was used to randomly select and collect 397 valid enterprise data, and further build perception index system to quantitatively analyze the impact of structural, functional and timeliness mispairs on market, brand and operational performance. The study found that all three types of mismatches had significant negative impact on performance, and the mechanism paths were different. Meanwhile, optimization strategies were also proposed, including the construction of dynamic allocation capabilities, the change from centralized to elastic mechanisms, and the adaptation and adjustment of organization governance system, to offer theoretical reference and practical guidance for global resource allocation of enterprises.

Against the backdrop of an increasingly pronounced green consumer trend, howenvironmentally friendly service strategies of enterprises afect brand image has become animportant research topic. This paper provides a review of the defnition of green consumption, current development status, and the challenges and opportunities it brings to enterprises. It analyzes environmentally friendly service strategies, mainly elaborating from the aspects of product and service design, marketing communication strategy, and operation management mode. The mechanism of environmentally friendly service strategies in brand image is discussed, and it is proposed that it reshapes brand image by improving functional image, establishing emotionalimage, and strengthening brand diferentiation. And it analyzes the infuence of consumers’green consciousness, enterprise green commitment authenticity and green service perceptibilityon brand image . The research shows that an efective environmentally friendly service strategy can not only improve the competitiveness of brands in the market but also improve consumers’loyalty and identity with the brand.

With its unique marketing strategy, Xiaomi has quickly stood out in the Indian market and become the leader of the Indian smartphone market. This paper takes Xiaomi’s marketing strategy in the Indian market as the object of study and analyzes it in depth using the 4Ps theory.It is found that Xiaomi’s marketing strategies in India include product localization, standardization and differentiation, adopting a penetration pricing strategy to target the middle and low-end market, dual coverage of online and offline marketing channels, and hunger marketing and event marketing.At the same time, Xiaomi has made a number of innovations in its localized marketing strategy in India, such as delving deeply into local culture, actively participating in public welfare activities, and hiring Indian celebrities to promote its products, which have effectively contributed to Xiaomi’s success in the Indian market. This paper argues that Xiaomi’s success provides a useful reference for other Chinese companies to expand in overseas markets.

In the context of the rapid expansion of the O2O (Online-to-Offline) retail model, customer satisfaction has become the key to enterprise competition. This paper uses the IPA (Importance - Performance Analysis) model to analyze the key points affecting the customer satisfaction of O2O retail enterprises, covering product quality and price, the service experience of online and offline channels, the efficiency and accuracy of distribution, as well as after-sales service and return and exchange policies. By adopting the IPA model, this paper proposes targeted improvement measures: focusing on improving the areas with high importance but low satisfaction, continuously consolidating the areas with high importance and high satisfaction, formulating low-priority plans, and paying attention to the areas where excessive investment may occur. The research aims to provide scientific and effective specific plans for O2O retail enterprises to improve customer satisfaction and enhance their competitiveness in the market.

This dissertation investigates the influence of information quality of electronic word of mouth (eWOM), more specifically online customer reviews on the valuation of fashion rental services, namely on eWOM appeal, the intention to rent clothes on a renting platform, and the willingness to pay. Additionally, the moderating effect of fashion involvement and the mediating influence of perceived trust in eWOM was examined on the aforementioned relationship.Results indicate that high eWOM information quality in online customer reviews leads to greater valuations of fashion rental services. Additionally, higher fashion involvement positively impacts eWOM appeal of online customer reviews and the intention to rent clothes from a fashion rental platform. Furthermore, individuals with higher fashion involvement are more likely to rent clothes with higher eWOM information quality reviews. Results slightly improved by adding the influence of the frequency of consuming online reviews to this analysis. Moreover, findings suggest that perceived eWOM trust indirectly influences the relationship between eWOM information quality and fashion rental service valuations, specifically eWOM appeal and rental intention.

Driven by the ‘dual-carbon’ goal, ESG practices have become the core path for energy companies to balance low-carbon transition and value growth. This paper takes A-share listed energy companies from 2013 to 2023 as a sample, and explores the intrinsic mechanism of ESG performance affecting corporate value based on signaling theory, stakeholder theory and other fundamental theoretical frameworks. The study finds that: firstly, ESG performance of energy companies significantly and positively drives corporate value enhancement; secondly, ESG practices play a role through the dual intermediary paths of alleviating financing constraints and enhancing corporate efficiency. The study reveals the logic of ‘ESG input-resource optimisation-value gain’ in the energy industry, which provides a theoretical basis for high-carbon enterprises to crack the bottleneck of transition financing and new energy enterprises to strengthen their governance effectiveness, and provides empirical support for policy makers to improve ESG incentives and design green financial instruments.

In competitive markets, customer decision-making is a key factor affecting business success, and its complexity stems from the interaction of multiple internal and external factors. Customer decision-making is not only influenced by explicit factors such as product price, quality, and brand image, but also closely related to implicit factors. With the intensification of market competition and the diversification of consumer demands, understanding the key influencing factors of customer decisions has become an important foundation for enterprises to formulate strategies and optimize services. Based on this, the key influencing factors of customer decision-making in competitive markets are discussed below for reference.

The U.S. technology blockade, represented by the CHIPS and Science Act of 2022 (hereinafter referred to as the “CHIPS Act”), reflects America’s strategic intent to maintain its technological hegemony and curb the development of China’s semiconductor industry. As a major semiconductor power that the U.S. aims to court and pressure, Japan’s cooperation with China’s semiconductor industry and the resilience of its industrial chain have been particularly affected. This article analyzes the impact of the CHIPS Act on the Sino-Japanese semiconductor industry chain over time. The study finds that in the short term, the CHIPS Act will have a significant impact on the Sino-Japanese semiconductor industry chain, but in the long term, the impact is relatively minor, leaving considerable room for deeper and more extensive cooperation between China and Japan. The article proposes strategies to mitigate the negative impacts of the CHIPS Act from four aspects: enhancing the resilience of the Sino-Japanese semiconductor industry chain through coordinated industrial policies, leveraging the RCEP opportunity to boost the clustering effect of the Sino-Japanese semiconductor industry chain, promoting networked cooperation in China’s semiconductor industry through multi-dimensional resource integration, and expanding horizontal technological linkages in the Sino-Japanese semiconductor industry through innovation-driven development, all aimed at boosting the resilience of the Sino-Japanese semiconductor industry chain.

Under the industrial background of the global in-game purchase market exceeding 120 billion US dollars, the cultural and psychological driving mechanism of non-functional virtual goods (NFVGs) has become a key research topic. This study takes “League of Legends” as the empirical field, integrates the theory of social identity and the theory of symbolic consumption, and through a questionnaire survey of 621 active players, reveals the core path by which cultural identity influences the consumption of NFVGs through the mediation of value perception. The research finds that belonging identification and self-esteem identification constitute a dual driving force. Both trigger consumption behavior through a complete mediating mechanism of value perception - among which belonging identification mainly activates social values, manifested as players strengthening group belonging through the exclusive skin of the city-state. Self-esteem and identity dominate the transformation of emotional values and drive personality expression behaviors such as limited skin collection. The influence of functional value has been significantly weakened, confirming the non-instrumental nature of NFVGs. In-depth interviews further deconstruct the differentiated effects of cultural symbols: Real cultural symbols (such as the “Blue and White Porcelain” skin) increase the sense of belonging and willingness to pay of Eastern players by 32%, while fictional cultural symbols (such as the “Demasia” theme) rely on the immersion of the world view (the conversion rate of highly engaged players is greater than 41%). These findings have overturned the “pragmatism” paradigm of game consumption and established the core logic of “cultural identity → internalization of value → symbolic consumption”. Propose transformative inspirations for industrial practice: For community-type players, cultural circle markers (such as camp badges) need to be developed; for individual-type players, emotional narrative carriers (such as hero legendary skins) should be created, and the investment in functional attributes should be systematically weakened. The study simultaneously exposed sample bias and the absence of cultural regulation mechanisms. And suggested that the localization design strategy be deepened through cross-cultural comparative experiments in the future.