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    Forum of Special Topics
  • Forum of Special Topics
    Connotation, value, and practical paths of smart industrial heritage from perspective of Chinese modernization
    Zhang Yan
    2026, 19(4): 1-7. https://doi.org/10.7688/j.issn.1674-0823.2026.04.01
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    The Outline of the 15th Five-Year Plan for National Economic and Social Development of China has, for the first time, dedicated a separate chapter to “Advancing the Digital China Initiative and Enhancing the Level of Digital and Intelligent Development”. It emphasizes the advancement of the Artificial Intelligence (AI) Plus Initiative across the board to facilitate AI empowerment in all sectors on all fronts. At the same time, it also underscores the need to remain rooted in the broad and rich Chinese culture, follow the trends of information technology, and make tangible progress in building China into a country with a strong culture. Against this background, smart industrial heritage has become an important development direction for the digital and intelligent protection and utilization of China's industrial heritage, fostering an innovative paradigm in which AI empowers the field of industrial heritage. Its core lies in achieving automated and autonomous protection of industrial heritage through digital and intelligent technologies and fostering new forms of cultural business that deeply integrate culture and technology and offer interactive experiences. This paper reviews the three stages of the evolution of digital and intelligent protection and utilization of industrial heritage, analyzes the value implications of smart industrial heritage for realizing Chinese modernization, and explores the practical paths for promoting the development of smart industrial heritage in China from the perspective of Chinese modernization. This paper finds that smart industrial heritage has undergone a triple paradigm shift:from passive protection to active management, from single-site protection to landscape construction, and from physical object preservation to digital value development. This shift has not only helped cities tap their full potential and promoted green transition across the board, but also provided strong support for fostering new drivers of economic growth. On this basis, this paper proposes practical paths, including building a multi-stakeholder collaborative governance mechanism, creating a favorable innovation culture ecosystem, and providing financial support through multiple measures. This paper provides theoretical support and practical references for the development of smart industrial heritage in China and has important theoretical and practical significance for carrying forward the industrial spirit, accelerating efforts to build China into a country with a strong culture, and contributing to Chinese modernization.
  • Forum of Special Topics
    Value generation and significance evolution of industrial culture from historical perspective
    Lang Xu
    2026, 19(4): 8-15. https://doi.org/10.7688/j.issn.1674-0823.2026.04.02
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    The value generation and significance evolution of industrial culture run through the entire process of human industrialization, whose core lies in the concentrated reflection of the contradictory movement between productive forces and production relations from the perspective of historical materialism at the ideological and cultural level. Based on the classical expositions of Marx and Engels as the theoretical foundation, this paper clarifies that industrial culture is a comprehensive cultural form characterized by the three-dimensional synergy and unity of the material, spiritual, and institutional dimensions. It systematically analyzes the internal driving mechanisms of its evolution from the technological, social, and cultural logics, and comprehensively sorts out the complete evolutionary context of industrial culture in the three historical stages:initial industrialization, middle and late industrialization, and post-industrialization. Industrial culture has gradually transformed from mechanical worship and efficiency supremacy to technological ethics, sustainable development, and humanistic care. This paper also deeply interprets the deep-seated contradictions, such as the excessive expansion of instrumental rationality in industrial culture development. The evolution of industrial culture is essentially a dynamic process in which instrumental rationality and value rationality move from opposition toward dialectical unity. The value realization of industrial culture relies on the coordinated support of the productive forces base, institutional environment, and cultural consciousness. The development of industrial culture presents distinct developmental trends:from production-oriented dominance to diversified significance, from Western-centrism to pluralistic symbiosis, and from physical vehicles to virtual-real integration. To promote the innovative development of industrial culture of China in the New Era, it is essential to realize the value goal as the fundamental position of people's free and well-rounded development and actively promote the in-depth integration of industrial culture with digital technology, ecological civilization, and local civilization. This is not only the inevitable outcome of the historical evolution of industrial culture but also an essential path to solving the current practical dilemmas such as the unbalanced development and inheritance disruption of contemporary industrial culture, constructing a modern industrial culture system that integrates deep historical roots, contemporary features, and Chinese characteristics, injecting spiritual momentum into the development of new industrialization, and supporting the building of a country with a strong culture.
    • Study of Development of Equipment Manufacturing Industry
  • Study of Development of Equipment Manufacturing Industry
    Research on shared manufacturing resource scheduling from perspective of energy conservation and emission reduction
    Liu Peng, Jia Runze
    2026, 19(4): 16-27. https://doi.org/10.7688/j.issn.1674-0823.2026.04.03
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    Shared manufacturing has attracted extensive attention for its role in improving production efficiency and optimizing resource allocation. However, most existing studies inadequately address energy consumption and carbon emissions during production processes. To promote the sustained development of shared manufacturing, this paper investigates resource scheduling and optimization problems from the perspective of energy conservation and emission reduction. A multi-objective production scheduling optimization model is developed with the respective goals of minimizing costs and production time, and minimizing energy consumption and carbon emissions. To solve the model, a hybrid optimization algorithm is proposed by integrating the non-dominated sorting genetic algorithm with particle swarm optimization. Using real-world data for empirical analysis, the results show that: (1) as production utility increases, carbon emissions and energy consumption rise, with an accelerating marginal growth rate; (2) comparative analysis based on different weight settings for production cost and maximum production time indicates that a higher weight assigned to production cost is associated with greater production utility, suggesting that platform operators should place greater emphasis on cost control; (3) comparisons between the proposed hybrid genetic algorithm incorporating particle swarm optimization and other algorithms demonstrate that the hybrid approach achieves faster convergence and yields higher-quality solutions, thereby validating the applicability of the model. The findings provide a basis for advancing energy conservation and emission reduction efforts and for promoting the sustained development of shared manufacturing.
  • Study of Development of Equipment Manufacturing Industry
    Impact of ESG responsibility fulfillment on corporate sustainable innovation
    Xi Longsheng, Li Rui
    2026, 19(4): 28-39. https://doi.org/10.7688/j.issn.1674-0823.2026.04.04
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    Corporate sustainable innovation is a key driving force for high-quality development and green transformation. Under the guidance of the “dual carbon” goals, the external environment has placed higher requirements on enterprises' environmental, social, and governance (ESG) responsibility fulfillment, and ESG performance has gradually become an important criterion for measuring corporate sustainable development. Using A-share listed companies from 2010 to 2024 as research samples, this paper constructs a multiple regression model to systematically examine the impact of enterprises' ESG responsibility fulfillment on their sustainable innovation capability. By introducing continuous indicators of innovation input and output, this paper characterizes enterprises' sustainable innovation capability from both input and output dimensions. A series of robustness and endogeneity tests are conducted using the instrumental variable method, Heckman two-stage model, propensity score matching (PSM), and other methods. Furthermore, this paper explores the mediating effects of digital transformation and financial flexibility, introduces the degree of industry competition to investigate its moderating effect, and finally conducts heterogeneity analysis based on enterprises' pollution attributes and regional differences. The results show that enterprises' active ESG responsibility fulfillment can significantly improve their sustainable innovation capability, and this conclusion still holds after a series of robustness and endogeneity tests. After distinguishing different dimensions of ESG, it is found that environmental, social, and governance performance all enhance enterprises' sustainable innovation capability, among which social and governance dimensions have more significant promoting effects. Mechanism analysis indicates that ESG responsibility fulfillment can strengthen sustainable innovation capability by promoting corporate digital transformation and improving financial flexibility. The moderating effect test shows that the degree of industry competition positively moderates the relationship between ESG responsibility fulfillment and sustainable innovation. Heterogeneity analysis reveals that the promoting effect of ESG responsibility fulfillment on sustainable innovation capability is more significant in non-heavy polluting enterprises and enterprises located in the eastern and central regions. From the two dimensions of corporate digital transformation and financial flexibility, this paper reveals the internal mechanism of how enterprises' ESG responsibility fulfillment affects their sustainable innovation capability, and points out the heterogeneous effects across industries and regions. It aims to provide theoretical references and managerial implications for enterprises to fulfill ESG responsibilities, enhance their sustainable innovation capability, and promote their high-quality development.
    • Research on Regional Economic Development
  • Research on Regional Economic Development
    Impact mechanisms and spillover effects of industrial intelligence on carbon productivity
    Sun Yanli, Wu Yuchu, Chen Zongsheng
    2026, 19(4): 40-51. https://doi.org/10.7688/j.issn.1674-0823.2026.04.05
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    Industrial intelligence stands as a core lever for advancing the green transformation of China's industrial sector and elevating regional carbon productivity. To deeply dissect its impacts on carbon productivity and the underlying mechanisms, this paper constructs a three-dimensional analytical framework integrating industry, energy, and technology, drawing on panel data from 30 provincial-level regions in Chinese mainland from 2010 to 2022 (excluding Xizang). Employing a fixed-effects model, a mediation effect model, a spatial Durbin model, and a random forest model, this paper systematically analyzes the influence mechanisms, transmission pathways, spatial evolution patterns, and nonlinear characteristics of industrial intelligence on carbon productivity. The findings reveal that industrial intelligence significantly enhances regional carbon productivity and exhibits stage-specific nonlinear evolutionary characteristics; industrial structure upgrading, energy efficiency improvement, and green technological innovation are key mediating channels through which industrial intelligence empowers carbon productivity growth; the empowering effect of industrial intelligence on carbon productivity is more pronounced in underdeveloped regions; spatially, an asymmetric pattern of “local efficiency gains and neighboring region suppression” emerges, primarily driven by factor siphoning in developed regions, homogeneous industrial competition, and inter-provincial gaps in environmental regulation, resulting in significant negative competitive spillovers across provincial-level regions. Based on these results, differentiated policy recommendations are put forward, aiming to provide empirical evidence and decision-making references for narrowing regional gaps in green development and constructing a coordinated emission reduction pattern in China.
  • Research on Regional Economic Development
    Integration and regeneration: humanistic economic practices in deep integration of culture and tourism
    Li Xuecheng
    2026, 19(4): 52-60. https://doi.org/10.7688/j.issn.1674-0823.2026.04.06
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    Humanistic economics profoundly reveals the inherent correlations and development laws between culture and economic growth, and offers important theoretical guidance for the integration of culture and tourism in such aspects as value stance, methodologies, and practical approaches. Building on existing studies, this paper further proposes integration and regeneration as the core concepts for analyzing the deep integration of culture and tourism. The former refers to the value penetration and systematic integration of cultural elements into economic activities, while the latter manifests as value reshaping and industrial leapfrogging achieved through business form innovation. At different stages of culture-tourism integration practices, regions guided by humanistic economic ideas break down industrial barriers among culture, sports, tourism, agriculture, and commerce via resource consolidation and factor restructuring. They fully leverage the mutual empowerment of culture and the economy, and have formed three practical models: industrial ecosystem restructuring, event and festival-driven development, and digital technology empowerment. Each model boasts distinct strengths and together forms a mutually complementary organic whole. Going forward, efforts should be further intensified to improve development pathways from multiple dimensions, including exploration of humanistic values, application of digital and intelligent technologies, creation of spatial scenarios, and establishment of collaborative governance mechanisms.
  • Research on Regional Economic Development
    Collaborative incentive effect of integrated development of education, science and technology, and talents
    Deng Biao, Deng Hao
    2026, 19(4): 61-73. https://doi.org/10.7688/j.issn.1674-0823.2026.04.07
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    The integrated development of education, science and technology, and talents is an important foundation for promoting high-quality development. New Quality Productive Forces, driven by scientific and technological innovation, are the key to achieving high-quality development. Based on the perspective of collaborative incentives, this paper takes Liaoning Province as the research object to explore the integrated development level of education, science and technology, and talents, and its promoting effect on New Quality Productive Forces. By using the panel data from Liaoning Province from 2013 to 2023, this paper constructs an evaluation indicator system for the integrated development of education, science and technology, and talents. It employs the coupling coordination degree model to calculate the integrated development level, uses the system dynamics model to simulate the improvement paths and dynamic effects of the integrated development level under multi-dimensional collaborative incentives, and analyzes the collaborative mechanism between explicit and implicit incentives. The results show that there is a significant coupling and coordinated relationship between the systems of education, science and technology, and talents and regional New Quality Productive Forces. Collaborative incentives can produce an emergent effect of “1+1+1>3”. The activation effect of the coordination of explicit and implicit incentives can effectively cultivate new quality workers and enhance regional innovation capabilities, which is the core driving force for promoting the integrated development of education, science and technology, and talents. Although Liaoning Province has the advantages of high-quality higher education resources and a solid industrial foundation, it still needs to optimize the talent introduction and cultivation mechanisms, deepen the integration of industry, university, and research, and integrate multi-dimensional incentive policies to enhance the overall system efficiency and promote the continuous emergence of New Quality Productive Forces. This paper aims to provide theoretical references and policy implications for Liaoning Province and similar regions to promote the deep integration of education, science and technology, and talents, and optimize collaborative incentive policies.
  • Research on Regional Economic Development
    Government scenario governance from perspective of generative artificial intelligence: taking business environment optimization as example
    Xu Lifeng, Yang Dayue
    2026, 19(4): 74-83. https://doi.org/10.7688/j.issn.1674-0823.2026.04.08
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    The historic convergence of generative artificial intelligence (AI) technology and the continuous optimization of the business environment is driving the gradual realization of human-machine collaboration in government services. In this process, scenario governance has become a key factor determining whether technology can translate into service quality. Drawing on technology empowerment theory and scenario theory, this paper employs a multi-case analysis method to conduct an in-depth examination of the governance outcomes and bottlenecks in four types of scenarios during the process of optimizing the business environment: approval services, market supervision, policy support, and legal guarantees. This paper finds that generative AI technology has a significant empowering effect in government scenario governance, such as optimizing the business environment, and can effectively improve the efficiency of government governance. However, during the practical deployment of the technology, there remain numerous shortcomings, specifically manifested as insufficient adaptability to complex matters, prominent pressure on data security and privacy protection, misalignment between technology iteration and policy development, heightened risks of algorithmic bias, evident technology dependence, weak capacity to resolve complex disputes, and so on. In response to these bottlenecks, this paper proposes measures such as constructing a hierarchical and categorical precision empowerment system, improving collaborative iteration mechanisms, and strengthening risk prevention and control and ethical governance, thereby providing practical references for generative AI to empower the high-quality development of the business environment.
  • Research on Regional Economic Development
    Research on location of shared warehouse integrating forward and reverse logistics
    Li Jia, Yang Tingran
    2026, 19(4): 84-91. https://doi.org/10.7688/j.issn.1674-0823.2026.04.09
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    To address the diverse purchasing and returning needs of customers for different shared warehouses, unreasonable distribution of shared warehouse locations, and high total logistics costs, the issues of location selection of shared warehouses are studied with multiple suppliers and integrated forward and reverse logistics. A shared warehouse location model is built that integrates forward and reverse logistics, with the goal of minimizing the total logistics cost including shared warehouse location cost, third-party transportation cost, order cost, inventory cost, and return cost. An improved genetic algorithm is designed based on the characteristics of the model, and the monarchy scheme is used instead of traditional selection and crossover operations to enhance overall search capability. Numerical examples for simulation experiments are introduced to analyze the impact of different parameters on the average running time, average cost, and minimum solution of the experiment, and the optimal location and minimum logistics cost of the shared warehouse are obtained. The experimental results have demonstrated the effectiveness of the model and the operational efficiency of the algorithm, reducing logistics costs and improving logistics efficiency.
    • Study of Law-Based Governance on All Fronts
  • Study of Law-Based Governance on All Fronts
    Application dilemma and reconstruction of personal information processing rules in workplace context
    Zhang Yan, Liu Xiaomeng
    2026, 19(4): 92-100. https://doi.org/10.7688/j.issn.1674-0823.2026.04.10
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    In the era of digital intelligence, the protection of laborers' personal information is facing severe challenges. The current Personal Information Protection Law has difficulties in application in the workplace context. This paper analyzes the specific obstacles faced by the application of these rules in the labor field and explores the path to institutional improvement. This paper finds that due to the unequal status of employers and laborers, consent is easy to become a mere formality in the workplace context, and the clause of “being necessary for human resources management” is transformed into almost unlimited general authorization due to the lack of an objective definition. Facing the above problems, it is necessary to reconstruct the existing rules through legal interpretation or supplementary provisions in labor law based on the principle of preferential protection of labor law and the legal principle of personal information protection. First, it is essential to adjust the application order of the legitimacy basis, position consent as an exception, and establish a tiered notification mechanism. Second, the clause of “being necessary for human resources management” should be narrowly interpreted, with the introduction of dual procedural and substantive review standards. Finally, the burden of proof should be reallocated, and a judicial relief mechanism without adverse consequences should be established. The institutional design of the current personal information processing rules is reasonable, but there is a gap between the application effect in the workplace context and the legislative expectation. Under the premise of adhering to the existing legal framework, it is necessary to return to the core legal principle of the preferential protection of labor law and make targeted adjustments and improvements, so as to achieve a dynamic balance between the protection of laborers' rights and interests and the legitimate management needs of employers. The main innovation of this paper lies in the deep analysis of the structural barriers to the application of general personal information protection rules in the labor field from the perspective of preferential protection of labor law, and the proposal of systematic rule reconstruction, which provides references for correcting the imbalance of rights between employers and laborers and preventing the abuse of algorithms and management rights in the era of digital intelligence.
  • Study of Law-Based Governance on All Fronts
    Risk reflection and development pathway for personal information protection in big data investigation
    Sun Mingze, Liu Lin
    2026, 19(4): 101-111. https://doi.org/10.7688/j.issn.1674-0823.2026.04.11
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    With the rapid development of big data technologies, investigative models are undergoing a profound transformation. Owing to its powerful data-processing capacity and advantages in digital analysis, big data investigation has become an important component of modern criminal governance system, serving as a crucial tool for combating intelligent and complex criminal activities. However, while this technology-driven investigative model enhances investigative efficiency, it also significantly expands the boundaries of public power, posing potential threats to personal information security. Drawing on literature analysis, comparative research, normative analysis, and other methods, this paper identifies critical challenges in the field of big data investigation in China, including an incomplete and fragmented legal framework for personal information protection, insufficient constraints on investigative authorities in the process of collecting and processing information, and inadequate remedies for individuals whose rights have been infringed. In the process of empowering judicial practice with digital technologies, a balance between power constraints and rights protection must be achieved. In big data investigation, efforts should focus on establishing a high-level, systematic legal framework for big data investigation through multi-department collaboration, developing a tiered system for the approval, processing, and oversight of personal information data, improving the administrative public interest litigation system for personal information protection, expanding avenues for citizen rights relief, etc. The innovation of this paper lies in introducing, on the basis of existing theories, new measures such as the classification and tiered system of personal data and administrative public interest litigation. These measures not only preserve the effectiveness of big data investigation, but also place stronger constraints on the exercise of public power, so as to promote the coordinated development of technological empowerment and rights protection, fully leverage the positive role of big data in crime prevention and control, and effectively curb the risk of public power abuse, ultimately achieving an organic integration of digital justice and investigative efficiency and promoting the standardized big data investigation within the framework of the rule of law.
  • Study of Law-Based Governance on All Fronts
    Intellectual property legal safeguards for development of New Quality Productive Forces in private economy
    Zhou Wenkang
    2026, 19(4): 112-120. https://doi.org/10.7688/j.issn.1674-0823.2026.04.12
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    As a “global model of institutional civilization”, intellectual property serves to underpin the missions of economic transformation, the function of innovation-driven development, and the requirement for fair competition in fostering New Quality Productive Forces in the private economy through its impacts on economic contribution, innovation guidance, market regulation, and so on. Currently, the intellectual property legal safeguards for developing New Quality Productive Forces in the private economy still face challenges and difficulties, including insufficient alignment of intellectual property frameworks with the new development philosophy, inadequate support from the intellectual property system for comprehensive innovation, and a lack of integrated development in the legal governance of intellectual property. Therefore, the intellectual property legal safeguards for advancing the development of New Quality Productive Forces in the private economy should emphasize the overarching guidance provided by the New Development Philosophy in intellectual property efforts more than ever, modernize the intellectual property system that ensures both development and security, and promote the integrated improvement of the three mechanisms of intellectual property:incentives, commercialization, and protection. These measures aim to achieve optimal synergy between the high-quality development of New Quality Productive Forces in the private economy and the high-quality advancement of intellectual property legal safeguards under multiple constraints.