Marx's critique of capitalist modernity contains a profound philosophical dimension concerning life. Drawing on Marx's analytical approach to life issues, it is of practical significance to examine the deep-rooted causes and multidimensional manifestations of human life dilemmas from the perspective of critiquing modernity and to explore pathways for their transcendence. The root of life dilemmas in capitalist modernity lies in the irreconcilable contradiction between the mode of production and the relations of production, which manifests concretely as the opposition between labor and capital, the separation of body and spirit, the inversion of means and ends, and the alienation of the individual from society. The externalization of these life dilemmas is reflected in the infringement of the right to life and the crisis of the meaning-world, specifically including the decline in quality of life and happiness index at the level of life patterns, the increased prevalence of psychological issues and mental illnesses at the level of personality traits, and the distortion of cultural concepts and social institutions at the level of developmental challenges. To transcend the contemporary dilemmas of life, collective efforts from the state, society, and individuals are required. At the state level, there should be active promotion of reforms to address the inherent contradictions of modernity; at the societal level, a robust dominant meaning system should be constructed; and at the individual level, people should enrich the self-determined essence of life through practice. By synergizing subjective and objective, internal and external forces, various obstacles restricting the development of human life can be transcend, achieving the fulfillment and grounding of life.
As digital platforms have become key infrastructures for cultural production and dissemination, the combined effects of platformized organizational concentration, algorithm-based rule pricing, and data-driven accumulative feedback have profoundly reshaped the effective operation of the Chinese Communist Party's cultural leadership. On the one hand, algorithmic logics reshape visibility and circulation, risking the marginalization of mainstream cultural expression; meanwhile, technology does not automatically ensure fairness but can intensify imbalances in data control and content curation, exacerbating resource disparities and fragmented identification. From the perspectives of institutional design, ecosystem cultivation, paradigm innovation, and national strategic coordination, the paper proposes a governance framework for enhancing culture leadership centered on algorithmic transparency, cultural redistribution, pluralistic expression, and consensus-oriented interventions, strengthening value guidance and consolidate leadership within public cultural spaces.
Beijing's sports industry has a certain foundation, but it faces the challenge of weakening advantages in both horizontal and vertical comparisons, urgently requiring digital-intelligent technologies to drive systematic transformation. In view of this, regarding the empowerment logic, the study constructs an "empowerment dirve-empowerment process-empowerment outcome" analytical framework, revealing the progressive pathway through which technological breakthroughs, transmitted via mechanism innovation, lead to value creation, thereby elucidating the underlying logic of enablement. Current constraints mainly include shortcomings in technology, factors, and main entity capabilities on the supply side, as well as insufficient effective demand and an imperfect consumption environment on the demand side. Therefore, during the 15th Five-Year Plan period, the following pathways should be systematically advanced: in the empowerment motivation dimension, strengthen independent R&D of technology and talent introduction, and promote cross-departmental collaboration and resource integration; in the empowerment process dimension, improve data governance mechanisms, build five core scenarios, and promote consumption experience upgrades and trust assurance; in the empowerment outcome dimension, establish a dynamic supply-demand feedback system and build a monitoring system containing five major indicators including industrial structure, efficiency and functionality, and international influence.
With the increasingly fierce global competition and rapid changes in the market environment, the digital and intelligent transformation has become the core driving force to enhance the resilience of enterprise supply chain. Based on the perspective of production network, using the data of A-share listed companies in Shanghai and Shenzhen from 2012 to 2023, this paper systematically investigates the direct effect and network spillover effect of digital and intelligent transformation on supply chain disruption risk. The results show that: firstly, the digital and intelligent transformation of enterprises can significantly reduce the supply chain disruption risk, and the digital and intelligent transformation of upstream enterprises will have spillover effect through the production network, which will indirectly reduce the supply chain disruption risk of downstream enterprises. Secondly, the digital and intelligent transformation mainly operates through three mechanisms: the driving effect of innovation ability, the enhancing effect of operational ability and the enhancing effect of market power. Thirdly, the role of digital and intelligent transformation in reducing the risk of supply chain interruption is more prominent in high-tech industries, eastern regions, growth periods and enterprises with high supply chain concentration. Therefore, we should strengthen the guidance and support of enterprises' digital and intelligent transformation and strengthen the capacity building of digital and intelligent transformation; We should also implement differentiated transformation strategies according to the development stage of enterprises, industry attributes, regions and other factors.
Artificial intelligence (AI) is a crucial driving force for advancing the new type of industrialization. The enabling role of artificial intelligence (AI) in advancing new industrialization is primarily manifested through three major theoretical mechanisms. First, the factor mechanism influencing industrial chain entities: through factor enhancement effect, factor complementarity effect, and factor substitution effect, it drives industrial chain entities to shift their production and operation models toward data and algorithm-driven approaches thereby reshaping their curvs. Second, the connection mechanism promoting industrial chain linkages: the convenience, flexibility, and network effects of connections will continuously expand the production possibility frontier, lead to a growing number of platform-based organizations, and make the trend of virtual agglomeration increasingly prominent. Third, the iteration mechanism that advancing industrial chain dynamics: through speed effect, scope effect, and competition effect, it boosts production efficiency, accelerates enterprise dynamics, and drives the evolution of market structure and governance. To maximize the enabling potential of AI for new industrialization, it is essential to clarify four core relationships: the role definition between government and market, the dynamic balance between costs and benefits, the boundary demarcation between competition and involution, and the coordination logic between development and regulation. Additionally, it is imperative to proactively remove obstacles and constraints from four dimensions—capability, demand, competition, and institutions.
Effectively identifying multiple factors that affect the operational quality of government hotlines and their synergistic effects is of great significance for enhancing the hotlines' ability to serve the people and thereby giving full play to their role in government governance. Based on the TOE framework, this paper takes 31 provincial 12345 government affairs hotlines as cases and uses the fuzzy set qualitative comparative analysis (fsQCA) method to discuss the linkage effect and driving path of technology, organization, and environment conditions on local governments to improve the operation quality of 12345 government affairs hotlines. The findings are as follows: (1) The conditions affecting the improvement of the operation quality of government hotlines have the nature of complex interaction, that is, the technical, organizational, and environmental factors cannot constitute the necessary conditions alone, and the four configuration conditions together constitute the driving path to improve the operation quality of government hotlines; (2) The eastern, central and western provinces have obvious differences in the ways of improving the operation quality of government hotlines. The findings contribute to deepening the understanding of the complex and interactive nature of multiple factors behind the development of government hotlines in our country, and suggests that local governments formulate policies based on local conditions to improve the operational quality of government hotlines.
The deep integration of the digital and real economies (deep digital-real integration) has emerged as a pivotal driving force in the digital era for propelling core technological advancements, cultivating new-quality productive forces, and constructing a modernized industrial system. Deep digital-real integration is characterized by cross-boundary integration as its form, factor recombination as its impetus, and ecosystem building as its objective—a profile that aligns with the challenging demands of disruptive innovation. It fully empowers disruptive innovation by restructuring technological innovation paradigms, realizing two-way driving force for industries, promoting the digital transformation of enterprises, and building multi-agent collaborative networks. Currently, deep digital-real integration faces multiple practical constraints, including insufficient technological adaptation, uneven distribution of infrastructure, fragmentation of innovation resources, and immature collaboration mechanisms. These factors have hindered its role in boosting disruptive innovation. In view of this, efforts should be made to build a sound digital innovation ecosystem by promoting efficient connectivity of digital technologies, accelerating the deployment of new-type digital infrastructure, strengthening targeted policy support, and enhancing multi-agent collaboration. This can intensify the empowering effect of deep digital-real integration on disruptive innovation and boost the high-quality development of China's economy.
The disposal of assets involved in illegal fundraising cases currently operates under a dual administrative-judicial framework, each presenting distinct deficiencies. The administrative model suffers from insufficient procedural transparency and a lack of effective redress mechanisms, while the judicial model faces enforcement challenges and high relief costs due to ambiguous rulings. These issues stem from a fragmented legal framework, blurred delineation of authority among competent entities, and inadequate rights protection. To reconcile the evolving values of criminal procedure with the due process requirement of equality between prosecution and defense, this article proposes the establishment of an independent disposal procedure. This procedure should incorporate mechanisms for explicit claim assertion, accommodate the legitimate interests of stakeholders, employ specialized rules of evidence for asset-related fact-finding, and maintain dynamic coordination with the primary adjudication process, thereby ensuring procedural fairness and legitimacy.
Most administrative crimes in China adopt the legislative structure of "administrative violation plus harmful consequence", and the judgment of result imputation is a key part of the hermeneutic principles for the administrative-criminal convergence. To determine the imputation relationship between an administrative violation and a harmful consequence, we must abandon the proximity standard in the proximate causation doctrine (applied to natural crimes) and make specific judgments centering on the administrative violation's contribution to the consequence. Administrative violation elements in administrative crimes do not independently indicate act illegality, but reflect the administrative regulatory demands underlying such legislation. Accordingly, result imputation for administrative crimes should balance the basic principles of criminal law and administrative regulatory goals. While the theory of the purpose of normative protection clarifies the normative requirements of preliminary administrative norms, it fails to clarify the content of normative evaluation. When an administrative violation directly causes a harmful consequence, result imputation should be judged by combining the danger realization modalities outlined in preliminary administrative regulations and the statutory penalties for specific crimes, to realize qualitative identification and severity classification in applying administrative crimes. When an administrative violation indirectly causes a harmful consequence via intervening matters, the judgment should be based on the danger-creation and duty-breach links between the administrative violation and the intervention; even the intervention of a third party's intentional crime does not block result imputation.
Drawing on spatial theory, this paper examines the spatial heterogeneity characteristics of grassroots social governance in China's megacities and explores pathways for enabling governance through digital technologies. An integrated analytical framework is constructed to interpret the underlying logic of spatial heterogeneity in megacities through three dimensions: physical space, social space, and psychological space. Physical space refers to the geographical realm constituted by material entities, representing a division based on urban geography. Social space denotes the abstract domain constructed through social relations, group interactions, and social identities, manifested in the distribution and interweaving of social categories such as class, occupation, and culture within spatial contexts. Psychological space encompasses the abstract domain shaped by individuals or groups through cognition, emotion, and symbolic systems, involving subjective experiences and meaning-making related to space, including dimensions such as memory, identity, and value conflicts. Building on this tripartite spatial analysis, the study proposes three-dimensional governance framework of "population structure-spatial function-flow intensity". This classification system leverages digital technologies to enable precise identification of governance targets, dynamic allocation of governance resources, and collaborative participation in governance processes, thereby establishing a closed-loop operational mechanism. The classification-based governance model effectively addresses structural contradictions in traditional governance, such as delayed demand response, severe resource misallocation, and insufficient community building. It facilitates a paradigm shift in grassroots governance in megacities from an "experience-driven" to a "data-driven" approach.
