Journal of Jiangxi University of Finance and Economics

The Cultural Subjectivity of Building an Independent Knowledge System in China: From the Perspective of Theoretical Innovation by the Communist Party of China

Xiang Jiang-su, Gong Jian-fei

2026, 0(3): 3-13.

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The Chinese path to modernization requires the modernization of knowledge production through the construction of a self-developed knowledge system in China. The cultural dependence of knowledge production and the strategic value of knowledge systems determine the foundational role of cultural subjectivity in the construction of China’s self-developed knowledge system. The theoretical innovation of the CPC embodies the nationality, integrality, standardization, and interactivity of China’s self-developed knowledge system, which correspondingly demands that cultural subjects possess consciousness, innovation, mission, and practicality. In the practice of theoretical innovation, the CPC has successfully constructed an organic system of cultural subjects. By combining rational awakening with emotional awakening, the CPC achieves motivation stimulation. By integrating process construction with outcome refinement, it enhances its capabilities; by combining the“two integrations”and“extensive dialogue”, it maintains the vitality of construction; and by balancing individual autonomy and overall leadership, it ensures effectiveness. Thus, the CPC can promote the effective realization of cultural subjectivity in the construction of China’s self-developed knowledge system.

Construction and Innovation of an Autonomous Knowledge System for the Whole-Process People’s Democracy: From the Perspective of Institutional Civilization

Huang Bei, Zhao Cheng-fei

2026, 0(3): 14-24.

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Institutional civilization serves as a crucial indicator for measuring the maturity of a nation’s governance system and the development level of political civilization. It also represents a key perspective for examining the formation, construction, and innovation of the autonomous knowledge system of the whole-process people’s democracy. The autonomous knowledge system of the whole-process people’s democracy gradually took shape and evolved during the historical process of the Chinese Communist Party leading the people in advancing democratic political construction. Its formation involved initial exploration during the embryonic stage of democratic concepts, the establishment of socialist democratic institutions marked by knowledge formation, the deepening of knowledge through democratic institutional development since the reform and opening-up, and the system’s leap forward driven by the major concepts proposed in the new era. This reflects the intrinsic logic of China’s political civilization transitioning from institutional practice to theoretical consciousness. The construction of the autonomous knowledge system of the whole-process people’s democracy is a systematic process guided by goal-setting, standardized by principle adherence, supported by multidimensional structures, and driven by practical innovation. In the new era and on the new journey, the innovative development of this autonomous knowledge system must adhere to the methodological principle of the “two integrations”, promote the organic unity of value rationality and instrumental rationality, ground itself in the practice-oriented development of modern civilization, and continuously enhance its theoretical explanatory power, knowledge integration capacity, and real-world responsiveness through the exchange and mutual learning of institutional civilizations.

Generative Artificial Intelligence Empowering the Development of New-Quality Productive Forces: Internal Mechanism, Practical Challenges, and Response Strategies

Peng Yi-ming, Xu Jin-gong

2026, 0(3): 25-34.

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With the deepening development of digital and intelligent technologies, generative artificial intelligence has played an irreplaceable role in empowering the development of new-quality productive forces. The underlying mechanisms through which generative AI empowers the development of new-quality productive forces are primarily manifested in promoting the deep integration of scientific and technological innovation with industrial revolution, unleashing the multiplier effect of data as a factor in value creation, and reshaping a labor market dominated by artificial intelligence and new talent resources. However, it is also necessary to clarify the practical challenges China faces in the process of leveraging generative AI to foster new-quality productive forces. These include bottlenecks in key core technologies, the lack of smooth integration between technological innovation and industrial revolution, the risk that advances in digital and intelligent technologies may widen income disparities, and obstacles to achieving high-quality and full employment. Therefore, in the digital and intelligent era, we must actively address these challenges through measures such as fully leveraging the advantages of the new national system to accelerate the integration of scientific and technological innovation with industrial revolution; unleashing and enhancing the efficacy of digital and intelligent technologies to achieve common prosperity; and vigorously promoting high-quality and full employment to accelerate the realization of human modernization.

Reflections on Deepening Agricultural and Rural Reform During the 15th Five-Year Plan Period

Zhao Yang

2026, 0(3): 35-45.

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The“15th Five-Year Plan”period is the crucial stage for China to basically achieve socialist modernization and an important juncture for advancing agricultural and rural modernization, bridging the past and future. Deepening reforms in agriculture and rural areas has become the core measure to stimulate endogenous development momentum and consolidate the foundation for agricultural and rural modernization. Based on an analysis of the new challenges and requirements in China’s agricultural and rural reforms during the 15th Five-Year Plan period, this study focuses on several key aspects of deepening these reforms, summarizing them as“one foundation and three major elements”. Specifically, it emphasizes consolidating and improving the rural basic operation system, while addressing the priority and optimal allocation of three major production factors—land, capital, and labor—through the deepening of rural land system reforms, the improvement of agricultural and rural support and protection systems, and the promotion of integrated urban-rural development. During the 15th Five Year Plan period, we must take the development of agricultural new quality productivity according to local conditions as the core strategic guidance for deepening agricultural and rural reform, promote the development of agricultural new quality productivity through comprehensive deepening of the reform, and adhere to the“dual wheel drive”of scientific and technological innovation and institutional innovation. At the same time, improving the modern agricultural management system should be regarded as a key lever for deepening agricultural and rural reform, so as to promote the deep integration of agricultural technology innovation and industrial innovation.

Analysis of China’s High-Level Opening-Up to the Outside World under the New Comparative Advantage: Taking“South-South Cooperation”as an Example

Zhou Shao-dong, Wu Shi-jie

2026, 0(3): 46-57.

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The dynamic evolution based on comparative advantages and the adjustment of production methods from a global perspective to promote economic development are the fundamental basis for China’s profound transformation of its opening-up strategy. With the profound changes in the domestic and international economic situation, China’s traditional labor cost advantage is no longer obvious. However, it has formed new comparative advantages over some southern countries in the fields of skilled labor, industrial system, and technology. This provides a practical basis for China to shift its focus from opening up to the outside world to“South-South cooperation”. From the perspective of Marxist political economy’s “mode of production”, the essence of a country’s adjustment of foreign economic relations is the adjustment of regional industrial relations. This article divides industrial types into eight categories based on the two dimensions: factor input density and factor combination method. Taking the six major regions in China that have carried out “South-South cooperation”as examples, it explores specific measures to adjust foreign economic relations based on regional industrial relations, providing a feasible path for further promoting high-level opening up to the outside world.

How Can Artificial Intelligence Mitigate Urban Shrinkage

Liu Xiao-kang, Tang Kai, Wang Yu-ying, Cai Xiao-pei

2026, 0(3): 58-69.

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Atificial intelligence plays an important role in promoting technological progress and high-quality economic development, and has the potential to have a positive impact on alleviating urban shrinkage. Based on the panel data of 287 cities in China from 2007 to 2023, this paper constructs a unified analysis framework for the development of artificial intelligence and urban shrinkage to explore the inherent relationship and mechanism between the two. Research has shown that the development of artificial intelligence significantly alleviates urban shrinkage, and this conclusion still holds true after endogeneity and robustness tests. The heterogeneity analysis shows that in shrinking cities, cities on the southeast side of the Hu Huanyong Line, peripheral cities, and resource-based cities, the development of artificial intelligence has a stronger mitigating effect on urban shrinkage. The mechanism analysis shows that the development of artificial intelligence can slow down urban shrinkage by promoting the return of urban population, enhancing urban innovation and entrepreneurship activity, and promoting industrial structure upgrading. Based on this, the policy level should focus on promoting population return, enhancing innovation and entrepreneurship activity, and accelerating industrial structure upgrading to effectively unleash the potential of artificial intelligence to alleviate urban shrinkage.

Income Inequality, Technology Spillover and Industrial Structural Transformation

Bai Xue-jie, Wang Xin-yue

2026, 0(3): 70-80.

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This paper estimates the preference parameters of the price-independent generalized linear (PIGL) utility function by using Chinese micro household survey data and analyzes the impact of income inequality on structural transformation of industry under different degrees of technology spillover, then it conducts an empirical test with urban panel data. The results of theoretical and numerical simulation show that income inequality is conducive to the increase of service varieties. However, intensified competition among products caused by the increase of substitutable service varieties reduces the relative price of services. Constrained by weak demand, the income effect brought by falling service prices cannot be substantially transformed into demand growth. Consequently, the higher the Gini coefficient, the slower the structural transformation of industry. In this process, technology spillover moderates the relationship between income inequality and structural transformation of industry by affecting service innovation on the supply side. The empirical study also confirms that income inequality inhibits structural transformation of industry, and such inhibition effect continuously strengthens with the improvement of technology spillover. The heterogeneity analysis finds that the inhibitory effect is stronger in less developed regions, regions with low marketization, and small and medium-sized cities, while the moderating effect of technology spillover is higher in developed regions, regions with high marketization, and large cities. Therefore, efforts should be made to improve the income distribution pattern, enhance technology spillover effects, implement differentiated policies according to local conditions, and leverage inter-regional cooperation mechanisms where advanced regions drive backward areas, so as to more effectively promote industrial structure transformation.

Research on the Impact Mechanism of National E-Commerce Demonstration City Construction on Carbon Emission Intensity: Causal Inference Based on Dual Machine Learning

Xie Li-zhi

2026, 0(3): 81-91.

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As a vital driving force of the digital economy, e-commerce is highly aligned with China’s strategic needs for achieving the “Dual Carbon” goal and high-quality economic development. Based on the panel data from 267 prefecture level cities in China from 2006 to 2022, and taking the construction of national e-commerce demonstration cities as a quasi natural experiment, this paper systematically explores the impact of the construction of the demonstration cities on carbon emission intensity by adopting the dual machine learning method and taking the environmental regulation as an external key variable, then it reveals its nonlinear characteristics through a panel threshold model. The findings show that the construction of national e-commerce demonstration cities has significantly reduced carbon emission intensity, and its policy effects show consistency under various robustness tests. The mechanism analysis shows that the construction of the demonstration cities achieves a reduction in carbon emission intensity through structural upgrading effects, green technology innovation effects, and environmental regulation effects. Further analysis shows that the impact of the construction of the demonstration cities on carbon emission intensity exhibits a non-linear characteristic of an inverted U-shape at different stages of development and resource endowment conditions. Therefore, it is recommended to strengthen the synergy of top-level design, implement differentiated policy paths, deepen the linkage mechanism between environmental regulation and technological innovation, so as to fully leverage the engine role of e-commerce in low-carbon transformation.

The Internal Mechanism and Advancement Strategies for Enhancing the Quality and Efficiency of Agricultural Socialized Services through Artificial Intelligence Empowerment

Qiu Huan-guang, Xu Jia-bin

2026, 0(3): 92-102.

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The development of agricultural socialized services is a key measure for building a modern agricultural management system, and the iterative upgrading of artificial intelligence (AI) technology injects new momentum into improving the quality and efficiency of these services. Based on the Marxist theory of technological revolution and from the perspective of division of labor evolution, this paper defines the connotation of improving the quality and efficiency of artificial intelligence and agricultural socialized services, constructs a theoretical framework for empowering agricultural socialized services with artificial intelligence, analyzes the practical basis of artificial intelligence empowerment, and proposes specific promotion strategies. Research has found that artificial intelligence relies on data as its core, computing power as its support, and algorithms as its core. Through element reconstruction, process optimization, cost control, and model innovation, it can solve pain points such as imbalanced service resource allocation, poor chain connection, inefficient cost control, and homogeneous service supply, ensuring that agricultural socialized services are “optimized”, “connected”, “profitable”, and “active”. The current policy system for artificial intelligence is gradually improving, the industry scale continues to expand, the iteration of core technologies is accelerating, and the talent team continues to grow. However, there are still bottlenecks such as the lack of special systems, lagging integration layout, lack of adaptive technology, and shortage of cross-border composite talents in the quality and efficiency improvement of agricultural socialized services empowered by artificial intelligence. Therefore, during the 15th Five Year Plan period, it is necessary to further improve the policy support system, cultivate an industry integration ecosystem, strengthen scenario based technology research and development, and build a cross-border talent training system, in order to maximize the effectiveness of artificial intelligence in empowering the quality and efficiency improvement of agricultural socialized services.

The Evolution and Reconstruction of Research Paradigms in Agricultural Economics in the Era of Artificial Intelligence

Si Wei, Wu Qi

2026, 0(3): 103-114.

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Artificial intelligence is reshaping the paradigm of scientific research, yet its application in agricultural economics remains insufficient. Therefore, a systematic discussion is needed on its implementation pathways, conflicts faced, and resolution strategies within agricultural economics. Artificial intelligence has evolved from the natural sciences into the fields of social sciences and economics, finding applications in microbehavioral analysis and policy simulation. However, the predictive ability emphasized by artificial intelligence conflicts with the causal identification orientation in agricultural economics, which is currently the main obstacle to the application of artificial intelligence in agricultural economics. Considering the uncertainty of agricultural natural reproduction and the complexity of China’s production system dominated by small-scale farmers, blindly applying generic models may lead to decision-making biases and risks. A feasible solution is to integrate artificial intelligence into causal inference frameworks, enabling it to assist in variable selection, instrument variable construction, and counterfactual prediction under high-dimensional data structures. In addition, researchers should shift from simple data processing to knowledge reliability evaluation when using artificial intelligence tools, and use theoretical knowledge and field research experience to correct algorithm limitations. The above ideas provide a methodological framework for agricultural economics in the intelligent era that balances predictive advantages and causal inference needs.

Investing in People: A Policy Concept for Enhancing Rural Human Capital Empowered by Artificial Intelligence

Yu Shi-jie, Gao Ming

2026, 0(3): 115-124.

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Artificial intelligence is the key technology to promote the improvement of rural human capital and form the dividend of human capital. This paper firstly constructs a three-dimensional analysis framework of “history-theory-practice”, and analyzes the internal logic of artificial intelligence empowering rural human capital under the guidance of the concept of “investing in people”. Secondly, it analyzes the practical application of artificial intelligence in the process of improving rural human capital and the obstacles it faces. Finally, it clarifies the target requirements, main ideas and key tasks of applying artificial intelligence to the promotion of rural human capital. The findings show that: first, the current artificial intelligence technology has been preliminarily applied in the fields of rural school education, vocational skills training and medical and health care, which has promoted the digital transformation of facilities, equipment and service modes, and laid a solid foundation for improving rural human capital. Second, promoting artificial intelligence to empower rural human capital faces practical problems such as mismatch between supply and demand of artificial intelligence technology and high risk of technology application. Third, the 15th Five-Year period should focus on promoting the modernization of agriculture and rural areas and other objectives and requirements, and firmly establish the concept of investment in people. Starting from the key aspects of improving the investment mechanism and improving the level of supervision, we will continue to play the positive role of artificial intelligence in improving rural human capital.

Institutional Adjustment of Commercial Use of Personal Information: With Emphasis on Increasing Responsibility

Wang Chen-guang

2026, 0(3): 125-137.

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The Personal Information Protection Law (PIPL) establishes the “Purpose of Use” as a fundamental factor in balancing the protection and utilization of personal information. It explicitly designates the “Purpose Limitation Principle” as a fundamental principle governing personal information processing activities. As the commercial attributes of personal information become increasingly prominent, behaviors involving the provision and use of personal information for profit-driven purposes necessitate focused scrutiny. On the one hand, such commercial exploitation exacerbates informational risk relations; on the other hand, it has eased the relationship of information control and profoundly influenced the fundamental principles of personal information legislation based on personality rights. It is necessary to reconcile this with the concept of increased liability in commercial law. Personal information protection should be differentiated based on profitability, from traditional one-way management to bilateral regulation, which emphasizes restrictions on personal information subjects while regulating personal information processors. For for-profit personal information subjects, the arbitrary exercise of their rights such as consent revocation and transfer should be restricted, and a legal obligation to provide truthful and accurate personal information should be imposed. For for-profit personal information processors, they should have a special duty of care and bear necessary social responsibility and stricter tort liability.

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