Journal of Jiangxi University of Finance and Economics

The Scientific Connotation and Theoretical Characteristics of Xi Jinping’s Important Discourse on the Employment Priority Strategy

Liu Chen

2025, 0(6): 3-12.

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Xi Jinping’s important discourse on the employment priority strategy is the ideological system and wisdom crystallization of the Party Central Committee, with Comrade Xi Jinping as the core, always adhering to the Marxist people’s standpoint, placing employment in a prominent position in governance and elevating it to a major national development strategy. Xi Jinping’s important statement on employment priority strategy is rooted in the Marxist labor employment theory, and inherits the relevant statements of previous generation of the CPC leaders on employment. Xi Jinping’s important discourse on the employment priority strategy has profound scientific connotations, including adhering to the comprehensive leadership of the Party in employment work, adhering to the goal orientation of high-quality and full employment, adhering to the promotion of employment through development, emphasizing the promotion of youth employment through education, and providing assistance to disadvantaged groups, etc.. It has five distinct theoretical characteristics: originality, scientificity, populism, development, and practicality.

“Green Mountains and Clear Waters are as Valuable as Mountains of Gold and Silver”: Evidences from the Pilot Program of the“Mountain and Water Projects”

Wang Da-zhe, Liu Xiao-feng, Zhang Li-min

2025, 0(6): 13-24.

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The scientific assertion that “lucid waters and lush mountains are invaluable assets” profoundly encapsulates the core essence of Xi Jinping’s ecological civilization thought, providing crucial theoretical guidance and practical principles for the coordinated development of ecological civilization and economic and social progress in the new era. Based on the panel data of 278 prefecture level cities from 2011 to 2021, this paper constructs a theoretical framework from the perspective of ecological industrialization and industrial ecology, and empirically analyzes the impact and the mechanism of the“landscape project”on green economic development. The findings show that, firstly, as an incentive policy for ecological restoration, the“landscape engineering”significantly promotes per capita GDP growth and green total factor productivity improvement in pilot areas, and has a dynamic effect that accumulates year by year. Secondly, the“landscape engineering”has successfully implemented the green development concept of“transforming green mountains and rivers into mountains of gold and silver”through the coordinated promotion of ecological industrialization and industrial ecologicalization, and constructed a virtuous interaction mechanism between ecological protection and economic improvement. Thirdly, compared to central cities, resource-based cities, and cities with low fiscal self-sufficiency rates, the impact of“landscape engineering”on surrounding cities, non resource-based cities, and cities with high fiscal self-sufficiency rates is more pronounced. To this end, differentiated policy support should be established, precise implementation of “landscape engineering”should be strengthened, the green transformation of industries should be comprehensively promoted, and the ecological and economic value realization channels of“landscape engineering”should be expanded through technological empowerment.

A Study of the Impact of Government Green Procurement on Peer-to-Peer Green Innovation: An Analysis Based on Market Competition and Knowledge Spillover Effect

Jiang Xin, Hu Wen-tao, Li Guang-long

2025, 0(6): 25-37.

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Starting from the peer effect, this paper explores the spillover effect of public green procurement on the green innovation in the same industry. The research has found that public green procurement has a significant industry spillover effect on corporate green innovation, that is, public green procurement can significantly improve the level of green innovation among local enterprises in the same industry that have not received procurement. This green innovation spillover effect mainly improves the green innovation in non-purchasing firms by increasing the market competition and promoting knowledge spillover among peer enterprises. The spillover effect of public green procurement on green innovation in non-purchasing enterprises shows obvious heterogeneity under different internal and external constraints: when the environmental awareness of corporate executives is stronger, the attention of analysts is higher, and when the culture of corporate cooperation is better, the spillover effect of public green procurement on green innovation of non-purchasing enterprises is more obvious. Further analyse reveals that the spillover effect of public green procurement has increased the environmental social responsibility of non-purchasing enterprises, thereby improving their environmental performance. It is necessary for the government to effectively leverage its exemplary role in green procurement, optimize the competitive market environment, and amplify policy spillover effects by establishing a multi-stakeholder coordination mechanism involving local governments and institutional investors.

Research on the Intrinsic Mechanism and Impact of Artificial Intelligence Promoting Labor Process Transformation

Han Wen-long, Chen Qi-yu, Zhang Rui-sheng

2025, 0(6): 38-52.

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As a disruptive and strategic technology leading the new round of technological revolution and industrial transformation, artificial intelligence drives profound changes in the labor process through three internal mechanisms: the digital and intelligent leap of the three elements of productivity, data becoming a key production factor, and the“concept construction”of human-like thinking. Based on the differences in skill levels and labor relations among workers, the artificial intelligence labor process can be defined as four manifestations. Further research reveals that the transformation of the labor process under the embedding of artificial intelligence presents four dimensions: flexible reconstruction of organizational forms, digital and intelligent collaboration in division of labor and cooperation, enhanced covert labor control, and innovation in value formation mechanisms. In the face of the impact brought about by the transformation of the labor process driven by artificial intelligence, dialectical thinking should be adhered to. On the one hand, it is necessary to give full play to the advantages of artificial intelligence in improving production efficiency, creating labor positions, improving the working environment, and highlighting the subjectivity of labor. On the other hand, in response to challenges such as the intensifying unemployment risk, the widening income gap, the accumulation of ethical risks, and the absence of rights protection, the potential risks of artificial intelligence should be effectively addressed from such dimensions as enhancing digital and intelligent literacy, universal sharing of benefits, governance of intelligent algorithms, and the formulation of laws and regulations.

Theoretical Logic and Practical Pathways for Constructing New Production Relations from the Perspective of Labor Force Ownership

Zhang Liang-cheng, Wang Zhi, Chen Wen-long

2025, 0(6): 53-62.

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Developing new-quality productive forces is a crucial focus for driving high-quality development, which requires the formation of corresponding new-type production relations. These new-type production relations represent the latest manifestation of China’s socialist production relations under the conditions of new-quality productive forces. Talent serves as the primary resource for developing new-quality productive forces, making the cultivation and development of new-type laborers who meet the requirements of these forces the central point and foundation for establishing new-type production relations. Therefore, establishing the legitimacy of labor force ownership is the key, thereby constructing new-type production relations from the perspective of labor force ownership. Labor force ownership universally exists in various forms across all societies and is intrinsically linked to the ownership of means of production. From a theoretical perspective, the nature and function of labor force ownership depend on the nature and conditions of means of production ownership, fostering and developing the labor force based on a new type of production relationship dominated by public ownership. From a practical standpoint, constructing new-type production relations should be based on the research, development, and application of new-type means of production, incorporating these means into the public ownership framework to provide the necessary conditions for new-type laborers to play a leading role, and enabling workers to acquire new labor skills in digital production methods.

Digital Economy and Enterprise Organizational Transformation

Zhou Wen, Yu Qi

2025, 0(6): 63-74.

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The digital economy systematically transforms corporate organizational forms through three intrinsic mechanisms. First, digital technology, leveraging the network effects of the platform economy and near-zero marginal costs, breaks through traditional organizational boundaries determined by transaction costs. Second, in highly uncertain environments, the core competitiveness of enterprises shifts from static resource control to dynamic capabilities that rapidly integrate knowledge to adapt to changes. Third, the layered modular production method evolves the internal division of labor into a “core-periphery” structure that transcends organizational boundaries, forming new platform-centric relationships of dominance and dependence. These mechanisms give rise to four key features of new organizational forms: division of labor transforming into a “networked division” centered on platforms and surpassing organizational boundaries; organizational structures tending toward flattening and granularity, composed of flexible self-organizing units; large-scale organizational models evolving from closed resource integrators to open platform-based ecological coordinators; and organizational relationships forming a “core-periphery” power structure centered around large platforms. To promote the transformation of corporate organizational forms and empower the development of the digital economy, it is essential to first strengthen digital infrastructure, providing technological support for organizational change; secondly, to enhance policy guidance for corporate digital transformation and organizational innovation; finally, to improve the governance system for the digital economy so as to regulate the development of the platform economy.

An Analysis of the Impact of Digital Technology Development on the Optimization and Upgrading of Sports Industrial Structure

Yu Hao, Liu Dong-feng

2025, 0(6): 75-86.

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Based on the theory of industrial structure optimization, this paper firstly makes an analysis of the impact of digital technology development on the optimization and upgrading of sports industrial structure, it then conducts an empirical test by using the provincial data from 2016-2022. The research results indicate that the development of digital technology can effectively promote the upgrading of the sports industry, and sports consumption has a significant positive mediating effect on promoting the upgrading of the sports industry; however, the positive impact of digital technology development on the rationalization of the sports industry is not yet evident. Further research reveals that both the increased investment in digital technology infrastructure and the promotion of digital technology applications can effectively drive the advancement of the sports industry. Additionally, the deepening of digital technology R&D can have a dual positive impact on the advancement and rationalization of the sports industry. Compared to regions with weaker sports industry development foundations, the role of digital technology development in optimizing and upgrading the sports industry structure is more pronounced in regions with stronger foundations. Therefore, China should accelerate the deep integration of digital technology and the sports industry, actively promote the application of digital technology, and further increase the research and development of digital technology to promote the advancement and rationalization of the sports industry.

A Configuration Analysis of the Asymmetric Impact of Digital Transformation Modes on Green Transformation of Export Enterprises in Manufacturing Industry

Xu Ying-chao, Jiang Yi

2025, 0(6): 87-98.

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To promote the green transformation in corporate production through digital technologies has become an essential path for enterprises to achieve high-quality development. However, during digital transformation, firms often face factor input constraints, leading to challenges of “unwillingness to transform” and “inability to transform.” Using the dynamic qualitative comparative analysis (QCA) method, this study explores how multiple digital transformation configurations affect the green transformation of manufacturing export enterprises. The results reveal that the effective mode of digital transformation that promote green transformation exhibits a strong dependence on digitalization outcomes. Both inter-group and intra-group analyses demonstrate significant temporal effects. After 2019, the four digital transformation modes are identified as highly effective in promoting green transformation. The heterogeneity analysis indicates that the modes through which manufacturing export enterprises leverage digital transformation for green upgrading are diverse and vary significantly across firm characteristics and industrial structures. The intra-group analysis of digital transformation inhibiting green transformation reveals that the transformation patterns that exhibit inhibitory effects are more common in small-scale enterprises. Therefore, policy efforts should focus on guiding manufacturing export enterprises to scientifically choose digital transformation elements, enhancing their confidence in using digital transformation to promote green transformation, reasonably matching transformation models, and avoiding potential transformation traps.

Knowledge Acquisition and the Scope of Farm Production Operations: An Empirical Analysis Based on the National Family Farm Monitoring Data

Liu Wen-xia, Gao Liang-liang, Du Zhi-xiong

2025, 0(6): 99-111.

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Family farms are an important mainstay in promoting appropriate scale operations in Chinese agriculture, and it is of great significance to pay attention to the conditions for the selection of the scope of their operations. Based on the panel data of family farms in 31 provinces (autonomous regions and municipalities) across China from 2014 to 2018, this paper adopts a two-way fixed-effects model to empirically analyze the impact of the knowledge acquisition of farmers on the scope of farm operations. The results show that those family farms whose owners have received more types of training have a wider scope of operation, i.e., they have a higher probability of choosing the scope of operation of“planting + breeding”than the scope of“crop planting”. Further analysis reveals that these findings hold true even after taking into account the effects of characteristics such as the farm’s resource-sharing capacity, the time trend of the farm’s growth, the farm’s exposure to risky environments, and the external environment in which the farm operates. The heterogeneity analysis reveals that the more knowledge and skills are required to expand the business scope of a farm, the more prominent the ability to share farm resources, and the greater the effect of training types. The mechanism test indicates that the type of training affects production behavior mainly by influencing the specialized knowledge and technology owned by farm owners. On this basis, the cultivation of high-quality farmers should be intensified, the training of agricultural management subjects should be enhanced, and the content of training should be rationalized.

Can Industrial Operation of Cooperatives Promote Transformation of Farmers’ Green Production? From the Perspectives of Horizontal Integration and Vertical Extension

Li Qi

2025, 0(6): 112-124.

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Cooperatives, as the main carrier of modern agriculture construction in China, are reshaping their operation modes and driving methods in the process of promoting industrial operation of agriculture. This reshaping is expected to impact the transformation of farmers’ green production. From the dual perspectives of horizontal integration collaboration and vertical extension, this paper utilizes the survey data from 963 vegetable growers in Shandong Province to conduct an empirical study. The findings show that participation in the industrial operation of cooperatives can significantly promote the transformation of farmers’ green production. This effect stems from the service scale formed in the horizontal integration collaboration of cooperatives, as well as the brand building and e-commerce sales in the vertical extension. However, the leading scale effect formed in horizontal integration collaboration does not significantly promote this transformation. If cooperatives with established horizontal integration additionally implement vertical extension, their ability to promote green production transformation will be further strengthened. Compared to cooperatives operating independently, the “enterprise + cooperative” model can enhance the positive role of vertical integration in farmers’ green transformation, but its regulatory effect on horizontal integration is not significant. The heterogeneity analysis shows that cooperatives led by capable individuals through brand building significantly outperform those collectively managed by the masses in driving green transformation. Thus, it is necessary to strongly support cooperatives to deeply participate in industrial industrialization management, innovate the organizational model of cooperative industrialization management, and improve the standardized and green production and operation level of cooperatives.

Antitrust Regulation on Exclusive Authorization of Data for Intelligent Connected Vehicles

Huang Juan

2025, 0(6): 125-136.

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The widespread phenomenon of exclusive data licensing in the development of new business models has become a key issue that restricts the value realization of data elements and hinders high-quality industrial development. The core participants in business models, exemplified by smart connected vehicles, exclude downstream market competition through exclusive data licensing, leading to distorted data element allocation, damage to the industrial innovation ecosystem, and reduced consumer welfare. The current antitrust regulation not only fulfills the traditional duty of maintaining market order but also bears the mission of unleashing the value of data elements amid the absence of data ownership confirmation. Consequently, it triggers challenges in antitrust regulation, such as constraints and conflicts between traditional contract principles and fundamental rights protection perspectives with the principle of key facilities, difficulties in determining the market dominance of core business model participants, and insufficient oversight on data disclosure. To address these challenges, it is necessary to shift from the concept of contractual freedom to contractual fairness and from absolute protection of fundamental rights to relative protection at the ideological level, providing a new theoretical foundation for antitrust regulation in the digital economy. Additionally, the introduction of a “prohibition on abuse of relative advantageous position” mechanism into antitrust law is required, alongside the establishment of a “dual regulation” model that integrates antitrust enforcement with industry supervision, so as to improve the toolkit for antitrust regulation in the digital economy.

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