In the context of global automotive electrification and intelligent transformation, the traditional vehicle manufacturing industry faces profound changes. Using Guangzhou as a case study, this paper examines the structural contradictions exposed in the traditional internal combustion engine (ICE) vehicle value chain under multiple pressures, including market downturns, high inventory levels, and supply chain disruptions. We find that the closed, vertically integrated value chain built on ICE vehicle manufacturing has run into difficulties due to insufficient technological innovation, dependence on external suppliers for core components, and weak industrial synergy, traditional manufacturing enterprises can only break through the low-end lock-in dilemma through dynamic matching and collaborative resonance of “technological breakthroughs driving deepening division of labor-division of labor optimization forcing policy innovation-institutional empowerment feeding back technological iteration”. To overcome these transformation bottlenecks, it is imperative to construct an open industrial system driven by global resource allocation, supported by technological innovation and international division of labor, and secured through coordinated policy support. By implementing localized upstream strategies for intelligent and electric core components and internationalized downstream market network restructuring, the industry can shift from low-value-added manufacturing to high-value-added segments such as R&D, design, and brand services. Drawing on the successful practices of domestic automakers like SAIC, Chery, and BYD in brand upgrading, global expansion, and supply chain integration, this paper explores a new model that synergizes globalization and local innovation, thereby driving breakthroughs and transformations in traditional vehicle manufacturing amidst international competition.
Financial institutions play an important pivotal role in the modern economic system, and their governance level directly determines the matching between the efficiency of resource allocation and the high-quality development of the real economy. However, due to the defects of governance structure and the deviation of incentive mechanism, some financial institutions fail to give full play to their due functions in the process of supporting the real economy. Based on the research perspective of “real economy demand-oriented”, this paper systematically analyzes the theoretical basis and innovative practice path of financial institutions’ governance optimization and enhancement of their ability to serve the real economy. The study believes that financial institutions should focus on the core orientation of the real economy needs to establish a more scientific and efficient corporate governance system. Specifically, the efficiency of resource allocation should be maximized by optimizing the power and responsibility mechanism of the board of directors, improving medium and long-term incentive policies, strengthening external supervision and enhancing information transparency and other governance links. At the same time, it is suggested to ensure the adaptability and sustainability of governance reform by building a policy embedding mechanism, promoting the coordination between the government and the market, and implementing a dynamic adjustment and feedback mechanism. It is further emphasized that the organic integration of the optimization of corporate governance and the orientation of the real economy is not only an important embodiment of the economic and social responsibility of financial institutions, but also a key path to promote their endogenous value creation and achieve high-quality development.
The financial market is characterized by its diversity, and the types of assets that investors face are increasing, therefor, how to formulate appropriate investment strategies has become a key concern for investors. In response to the uncertainty of the financial market, this paper proposes a financial investment strategy based on the Three-way Decision TAO model. Firstly, for the three-way decision problem under the interval-valued intuitionistic fuzzy environment, fuzzy factors, mean factors, and probability factors are introduced, and a similarity function is used to replace the condition probability usually given by humans. Secondly, when calculating the threshold value, the influence of human psychological factors is considered, and prospect theory is introduced to establish a new three-way decision model. Finally, the proposed model is applied to financial investment problems to verify its effectiveness and is compared with other decision-making methods to illustrate the superiority of the model.
Taking the case of how the contractual rights of ultra-small-scale farmers restrict the development quality of cooperatives and their access to financing as an example, this paper analyzes the factors of the rural land system behind the difficulty of financing in China’s agriculture. The contradiction between the “integrity of geographical distribution” required by the moderate scale operation of agriculture and the “veto power of small farmers” fundamentally limits the development quality of cooperatives. Subsequently, the empirical analysis conducted by using relevant statistical data and data from practical investigations supports the above judgment. In the future, the rural land model should consider gradually increasing the scale of the per capita contractual rights of agricultural land for the agricultural population, effectively improving the quality of the real economy of agriculture from a financial perspective. In order to solve the possible problem of insufficient financial resources of rural collective economic organizations during this process, it is advisable to consider establishing a special fund for support on the basis of integrating existing financial inputs.
Although the current real estate market in China has shown a deep adjustment pattern, it is still necessary to review and analyze the impact of excessive rising house prices on agricultural growth, so as to provide reference and inspiration for the realization of high-quality agricultural development and reasonable regulation of real estate. The rapid rise of housing prices has changed the macro environment and factor conditions of agricultural production. Based on the data of China County Statistical Yearbook from 2011 to 2020, this paper uses the fixed effect model to empirically test the effect of excessive housing price rise on agricultural growth. The results show that the rapid rise in housing prices is generally not conducive to agricultural growth. The rapid rise in housing prices has triggered a city-biased factor flow preference, resulting in a decrease in agricultural land, a shortage of agricultural labor, and a decline in financial support for agriculture. The time heterogeneity analysis further verifies that the rapid rise of housing prices inhibits agricultural growth. Therefore, the paper proposes to promote the intensive use of urban land resources and curb speculative demand, build a new model of real estate development oriented by people’s livelihood, and realize the coordinated development of urban economy; strengthen the financial support for agricultural science and technology innovation and deepen the reform of land system integration, and enhance the endogenous power of agricultural development in multiple dimensions; scientifically plan the development layout of counties, coordinate the use of land resources, and strictly control the excessive development of real estate in counties, so as to build a new pattern of integrated development with people-oriented, agricultural support and efficient allocation of urban and rural factors, and promote the development of agricultural modernization.
The advancement of information technology, while driving economic growth and quality-of-life improvements, has concurrently precipitated a rise in telecom network fraud. University students emerge as particularly vulnerable targets of such fraud. Preventive awareness and capabilities against these crimes are fundamentally shaped by socioeconomic status, life experiences,and adaptive competencies. Through a large-scale survey of students in Guangzhou, this study identifies significant socioeconomic disparities in fraud victimization: Urban-origin students reporting suboptimal health and strained social relationships demonstrate heightened susceptibility. Extended digital exposure coupled with online norm violations elevates victimization risks. Enhanced public security infrastructure correlates with reduced fraud incidence. Rural students with consumer debt manifest the highest victimization rates, with older students and those possessing disposable income also showing elevated vulnerability. These patterns underscore the intersectional effects of structural inequalities and digital behaviors, providing actionable intelligence for multi-level fraud prevention frameworks.
