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.

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.

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.

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.

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.

In response to the peak population aging in China and the phenomenon of population outflow in the three northeastern provinces, this paper aims to improve the quality of life of the elderly in rural areas of the three northeastern provinces. It conducts an in-depth study on the constraints of elderly care mode selection in rural areas of the region, providing a basis for the government to formulate reasonable elderly care policies. Based on the panel data of the elderly dependency ratio, medical consumption expenditure, and pension insurance subsidy of rural households in the three northeastern provinces from 2015 to 2024, a structural equation model is constructed to empirically examine the interrelationships among medical consumption behavior, changes in the elderly population structure, and pension insurance subsidy policies in the region. This paper finds that the rising elderly dependency ratio in the region has increased the medical burden on rural households, pension insurance contributions and subsidies can alleviate this burden to a certain extent, and the buffering effect of pension insurance has been strengthened. However, due to the differences in population structure, economic development models, and local elderly care policies among the three provinces, as well as the comprehensive influence of physical, psychological, and social factors on the rural elderly, heterogeneity persists in the elderly care mode selection. Currently, Liaoning Province faces sustainability pressure on its existing elderly care policies for rural residents and needs to prioritize raising the pooling level of pension insurance and exploring the transfer of funds to replenish social security funds. Jilin Province should expand the policy coverage of the existing pension insurance system and optimize the participation structure of rural residents in pension insurance. Heilongjiang Province, on the basis of a relatively healthy and stable existing elderly care model for rural residents, should attempt to launch pilot projects of integrated medical and elderly care services for rural residents and incorporate such services into the scope of pension insurance contributions and payouts. In addition, this paper suggests that the three northeastern provinces should establish an indexed adjustment mechanism for pension insurance amount for rural residents′ pension insurance and implement annual adjustment measures for pension insurance contributions and payouts.

In recent years, the livestreaming e-commerce market has experienced explosive growth, but traditional supply chain finance struggles to meet the financing needs of e-commerce enterprises, making it crucial to explore solutions to alleviate financing difficulties facing small and medium-sized e-commerce enterprises. This paper focuses on three core parties of livestreaming e-commerce supply chain finance: e-commerce enterprises, livestreaming e-commerce platforms, and financial institutions to study the behavioral strategy equilibrium in the dynamic evolution of the three parties′ long-term cooperation. Blockchain technology is introduced to construct a tripartite dynamic evolutionary game model of livestreaming e-commerce supply chain finance, and the Lyapunov discriminant method is introduced to analyze the equilibrium point and its asymptotic stability of the tripartite dynamic evolutionary model and to investigate the behavioral strategy selection in different situations. By analyzing the asymptotic stability of each party through the dynamic evolutionary game, distinct evolutionary results will appear. By assigning reasonable values to the model, the three parties involved in the game will converge to a stable equilibrium state. The results show that when livestreaming e-commerce platforms exhibit a high probability of active guarantees, financial institutions tend to offer loans, and e-commerce enterprises prefer compliance. When the conversion cost and the potential benefits of losses are large enough, e-commerce enterprises will always choose compliance. Only when the participation probabilities of the three parties are higher than the threshold will they participate in the livestreaming e-commerce supply chain finance business. Once the participation probability of any party is lower than the threshold, and its income obtained from the livestreaming e-commerce supply chain finance business is not enough to offset the potential risks, it will refuse to participate in the business.

With the rapid development of Internet technology, the problem of fake reviews in e-commerce platforms has become increasingly serious, causing damage to both consumer rights and interests and market order. Even though the detection technology of platforms is constantly upgraded, many unscrupulous merchants still induce consumers to post fake reviews, making such behaviors more covert and damaging consumers′ interests and their trust in platforms. This paper employs the evolutionary game theory to construct a tripartite evolutionary game model involving merchants, consumers, and e-commerce platforms and explores the key factors affecting the strategy selection of each party through the stability analyses of the strategies and equilibrium points of the system. Using Matlab R2018a software for numerical simulation, this paper simulates the impact of the initial probability on evolutionary results and initial evolution paths, verifies the stability of the model and the accuracy of the theoretical analysis, and then conducts a parameter sensitivity analysis in order to find effective strategies for governing fake review behaviors in e-commerce platforms. The findings reveal that the active intervention and supervision of e-commerce platforms facilitate merchants′ evolution toward non-induced positive review strategies and consumers′ evolution toward objective review strategies; when one party′s decision-making probability of fake reviews fluctuates around a specific threshold, the strategies of other decision-making subjects will change accordingly; and the punitive measures of e-commerce platforms are more effective than the incentive measures in curbing merchants′ induced positive review behavior. This paper provides e-commerce platforms with scientific strategies for governing fake review behaviors, helping to enhance user trust, maintain market order, and promote the healthy development of e-commerce.

The low-altitude economy epitomizes New Quality Productive Forces and serves as a key component of strategic emerging industries, increasingly functioning as a new engine of economic growth. Its safe and sound development relies heavily on the construction of low-altitude infrastructure. In recent years, boosted by policy guidance and market demand, China has made tangible progress in developing low-altitude infrastructure, characterized by the coordinated advancement of physical and digital infrastructure. Through pilot and demonstration programs, some regions have pioneered initial models of commercial operation and multi-scenario application. This paper systematically reviews the current situation of low-altitude infrastructure development, conducts an in-depth analysis of its core challenges, and innovatively proposes a three-dimensional collaborative classification framework based on function, hierarchy, and object, deepening the understanding of the institutional architecture of low-altitude infrastructure and more comprehensively clarifying its core connotations and operational logic. This paper reveals that, despite initial achievements, China′s low-altitude infrastructure construction remains constrained by multiple factors, including inadequate top-level design, inconsistent standard systems, insufficient regional coordination, ambiguous division of roles between the government and the market, and the incompatibility between conventional airspace management and low-altitude economy development. Based on an in-depth analysis of the problems, this paper proposes a series of countermeasures: improving laws, regulations, and strategic planning; establishing an integrated standard system; adopting differentiated regional development strategies; optimizing government-market coordination mechanisms; and reforming and innovating airspace management. These efforts aim to provide theoretical support for strengthening the “aerial foundation” of the low-altitude economy, unlocking its trillion-yuan market potential, and promoting its large-scale development nationwide. This paper recommends that future priorities be directed toward advancing intelligent upgrades, fostering multi-scenario integration, and optimizing dynamic operations, while leveraging international experience to chart a path for the high-quality development of China′s low-altitude economy.

The low-altitude economy epitomizes New Quality Productive Forces and constitutes a prioritized strategic emerging industry in China, demonstrating immense growth potential in advancing high-quality economic development. However, a significant structural tension exists between its productive attribute of cross-regional mobility and the traditional boundaries of territorial administrative jurisdiction. From the macro perspective of building a unified national market, this paper establishes an analytical framework interconnecting administrative logic, transaction costs, and market fragmentation, and deeply analyzes current developmental challenges facing the low-altitude economy, including the fragmentation of airspace regulations, the disparities in regulatory systems and deficiencies in the rule of law, the technological isolation and insufficient provision of infrastructure, and the implicit barriers to factor mobility. This paper finds that local protectionism, rooted in the logic of territorial resource allocation, significantly inflates institutional transaction costs for market entities and obstructs the network externalities and economies of scale effects within the industry. This model not only results in severe efficiency losses, but also triggers asset impairment pressure and industrial involution due to inconsistent standards. Furthermore, the large-scale development of the low-altitude economy relies heavily on unified rules and the free flow of factors, whereas the ambiguous definition of property rights and the divergence in regulatory systems within the current management regime have become core obstacles restricting its high-quality development. The fundamental solution to this dilemma lies in promoting a transition of the governance paradigm from territorial fragmentation to collaborative governance. This paper proposes a collaborative governance framework encompassing vertical restructuring of powers and responsibilities, horizontal integrated regional development, and multifaceted market-based checks and balances. By correcting institutional distortions and restoring market mechanisms, it provides theoretical support and implementation pathways for breaking market fragmentation and building a unified national market for the low-altitude economy characterized by unified rules and orderly competition.

The Fourth Plenary Session of the 20th Central Committee of the Communist Party of China has coordinated the deployment of industrial clusters in the low-altitude economy as a strategic emerging field and the construction of a nationally integrated computing power network, establishing the strategic positioning of the low-altitude economy as a typical representative of New Quality Productive Forces. However, its industrial practice remains constrained by structural limitations such as physical space congestion, rigid operational marginal costs, and lagging safety governance. This paper regards computing infrastructure as a key driver determining industrial production boundaries and resource allocation efficiency, systematically examining its empowerment mechanisms and implementation pathways. Computing infrastructure fundamentally transforms the growth logic of the low-altitude economy through digital capital deepening and institutional reshaping effects. It drives a leap in research and development paradigms from physical trial-and-error to virtual iteration, promotes the transformation of resource allocation from static directives to dynamic game equilibrium, and reshapes agile governance models based on algorithmic contracts. In response to existing practical constraints, including supply-demand mismatches in spatial layout, efficiency bottlenecks of the storage-computation separation architecture, and asymmetric dependency within the industrial chain, this paper further proposes pathways such as constructing a gradient spatial layout for computing power, advancing the development of integrated communication-sensing-computing networks, and improving mechanisms for data assetization and patient capital incentives. These proposals aim to provide theoretical support and policy references for the high-quality development of the low-altitude economy.

Facing the challenges of large-scale heterogeneous collaboration and communication constraints in ground-to-air defense systems under strong adversarial environments, this paper proposes a hierarchical distributed cooperative mission planning framework. In the pre-combat stage, a distributed asynchronous multi-round auction (DAMA) algorithm based on a block information sharing strategy is designed. Through a virtual node negotiation mechanism, it breaks through the resource allocation bottleneck under partially connected communication topologies, reducing communication overhead by approximately 38％ while ensuring global consistency in allocation. During the combat stage, an improved multi-agent deep deterministic policy gradient (IM-MADDPG) decision model integrating a multi-head attention mechanism and asynchronous experience update is constructed. This model enhances the relational modeling capability of local neighborhood features and effectively alleviates the oscillation problem in policy learning under complex game environments. Simulation results show that the proposed method achieves a static mission completion rate of 96.8％±1.2％, and the dynamic interception success rate and asset survival rate increase to 89.6％±1.5％ and 91.2％±1.3％, respectively. It realizes closed-loop optimization from resource pre-positioning to real-time gaming, providing theoretical support for the construction of intelligent defense systems in communication-constrained environments.

Product failure usually triggers negative consumer responses, and how to effectively manage such negative responses has become a critical managerial challenge for firms. With growing global attention to environmental issues, green and low-carbon lifestyles have been integrated into public consciousness, and green products have been gradually the focus. It is worthwhile to explore and analyze whether green products can gain greater consumer tolerance and thereby mitigate negative word-of-mouth (NWOM) transmission following product failure. Based on attribute centrality theory, this paper conducts three scenario-based experiments to investigate the impact of green product failure on consumer NWOM transmission. The results show that compared with conventional product failure, green product failure better inhibits consumer NWOM transmission. In the context of severe failure, products with high green attribute centrality exert a stronger weakening effect on consumer NWOM transmission than those with low green attribute centrality and conventional products. In addition, altruistic motivation plays a partial mediating role between product failure and NWOM transmission, while environmental responsibility serves as a moderated mediator in the relationships among product failure, altruistic motivation, and NWOM transmission. Consumers demonstrate greater tolerance toward green product failure. Accordingly, firms can leverage this psychological and behavioral characteristic to address the difficulties in customer relationship management caused by product failure by endowing products with green attributes, increasing research, development efforts, and cultivating consumers′ green awareness. From the perspective of green products, this paper enriches research on consumers′ post-purchase behavior after green product failure, and provides new directions for firms to optimize customer relationship management.

The principal contradiction facing Chinese society today is the contradiction between the people's ever-growing needs for a better life and unbalanced and inadequate development. Education and medical services are crucial areas reflecting the people's aspirations for a better life, directly impacting the national development and the people's well-being. From the perspectives of education and medical services, this paper examines how digital technology can enhance accessibility, service quality, and personalization of education and medical services to better meet the people's needs for a better life. The research findings indicate that the digital economy improves the quality of and equity of education by promoting equal access to education resources, facilitating personalized learning, and encouraging lifelong education; the digital economy enhances accessibility and quality of medical services through telemedicine, personalized health management, and the optimization of public medical services. The follow-up results of the Inclusive Green Development Survey (IGDS) conducted by the Chinese Academy of Social Sciences show that respondent satisfaction with digital education is generally high, though notable heterogeneity exists based on educational background and urban-rural residence, with higher satisfaction levels observed in rural areas and among individuals with lower educational attainment. Respondent satisfaction with digital medical services is also generally favorable, with significant regional heterogeneity; higher satisfaction is reported in regions with relatively fewer medical resources, such as Heilongjiang Province, Xinjiang Uygur Autonomous Region, and Guizhou Province. It is evident that the digital economy, as a key force driving economic and social transformation, plays a significant supporting role in fulfilling the people's needs for a better life. It is essential to further strengthen the development of digital educational and medical resources and increase investment in digital infrastructure in rural and remote areas to enhance the inclusiveness of the digital economy.

Against the backdrop of a new round of technological revolution accelerating the digital transformation of traditional industries, China's home appliance industry is experiencing profound changes. Grounded in the context of industrial digital transformation, this paper focuses on how digital technologies reshape the supply-demand structure and operational logic of the home appliance industry. It systematically analyzes the internal mechanisms, practical progress, and major constraints of digital transformation in China's home appliance industry, revealing its significance in promoting industrial structure upgrading and transformation of development models. Employing an approach that integrates analysis with synthesis and unifies logical and historical perspectives, this paper conducts a comprehensive structural analysis of the evolution of China's home appliance industry in manufacturing systems, channel structures, factor allocation, product forms, and consumption patterns from both the supply and demand sides. The findings show that, on the supply side, manufacturing processes have been upgraded toward smart factories and new production models, improving efficiency and precision of production and meeting personalized customization needs; in sales, traditional channels are being upgraded while new channels are emerging, with social e-commerce growing swiftly; at the product level, terminals are becoming digitalized, intelligent, and system-oriented, forming product ecosystems; in terms of factor allocation, information platforms integrate the entire industrial process and promote intelligent matching between supply and demand. On the demand side, in the digital era, home appliance consumption demand is shifting toward intelligence and personalization, with consumption habits characterized by scenario-based usage and a greater focus on services; the emergence of new consumer groups further drives products toward intelligent and scenario-based development. Nevertheless, in the face of rapid digital technological advancement, China's home appliance industry still suffers from inadequate capacity for digital transformation, challenges in building digital ecosystems, and relatively outdated service concepts and models. Looking ahead, China's home appliance industry needs to accelerate digital transformation, innovate customer value, build “home appliance interconnection” platforms, and develop new sales channels and intelligent new retail scenarios, in order to achieve high-end, green-oriented and intelligent development.

Based on the three-dimensional framework of “economy-society-ecology”, this paper systematically explores the impact mechanism of the development of digital villages on inclusive green development in counties and its regional heterogeneity. By integrating multi-source remote sensing data, such as county-level digital village index, nighttime light data, population density, and Normalized Difference Vegetation Index (NDVI), the empirical analysis shows that the development of digital villages significantly improves the economic inclusiveness of counties, but regional differentiation is evident, with the most prominent economic effects observed in the central region and weak effects in the northeast region due to its path dependence on traditional industry. In the social dimension, the development of digital villages only brings modest improvements, and technological exclusion exists. The western region benefits from filling the gap in public services, while the central region experiences exacerbated social differentiation due to the inadequate adaptability of the vulnerable groups. In the ecological dimension, the overall effect is not significant, and only the western region has achieved partial improvements through digital ecological supervision technologies. This paper further reveals the characteristics of regional heterogeneity and emphasizes that digital transformation in counties should be combined with local resource endowments and policy implementation capabilities. Based on it, a “three-dimensional collaborative” policy framework is proposed, which advocates for incorporating ecological goals into the assessment system, implementing classified policies to bridge regional differences, and promoting the deep integration of development of digital villages and inclusive green development to advancing the high-quality economic and social development of counties by strengthening digital infrastructure, innovating public service supply, optimizing benefit-sharing mechanisms, and other paths.

New Quality Productive Forces are the key driver of high-quality development in China, and the transnational capital owned by returnees is a important resource connecting the global innovation network with local industrial upgrading. Based on Bourdieu's theory of capital, this paper conducts an in-depth analysis of how returnees' transnational capital empowers the development of New Quality Productive Forces in China, aiming to address three core issues:the multi-dimensional composition and characteristics of returnees' transnational capital, its inherent mechanism through which it acts on New Quality Productive Forces, and the key challenges and optimization paths in its localized transformation. Combining theoretical construction and mechanism analysis, this paper constructs an analytical framework for returnees' transnational capital, decomposing it into a four-dimensional structure of symbolic, social, cultural, and economic capital, and revealing its dynamic and contextual characteristics. Through theoretical mechanism analysis, it is found that returnees' transnational capital can empower scientific and technological innovation through the effects of knowledge diffusion and reproduction, optimize the allocation of factors of production through the effect of resource integration, and improve the institutional environment through the effect of ecological optimization, thereby empowering the development of New Quality Productive Forces. Meanwhile, transnational capital faces challenges, such as a lack of adaptability to local conditions, lagging institutional environments, and insufficient social and cultural support in its localized transformation. Accordingly, this paper proposes practical paths from three aspects:constructing a multi-dimensional service and empowerment system, improving institutional environments for better adaptation, and enhancing social and cultural identity. This paper expands the transnational application scenarios of the theory of capital, establishes an analytical framework for the connection between “transnational capital and New Quality Productive Forces”, and provides theoretical support and policy references for unleashing the potential of returnees' capital and advancing the development of New Quality Productive Forces.

The coordination of fresh agricultural product supply chains is a key pathway to reducing circulation losses and optimizing the matching of supply and demand. In response to the complex situation of overlapping stochastic output and demand, this paper constructs a three-level supply chain model composed of farmers, a single supplier, and a retailer, focusing on the coordination mechanism driven by dual efforts in production and preservation. By comparing centralized and decentralized decision-making models, this paper reveals that the total profit of supply chain members under decentralized decision-making is significantly lower than the system's total profit, highlighting an inherent contradiction. Based on this, an optimal decision-making framework centered on production effort, preservation effort, pricing, and order quantity is proposed. Further, a coordination optimization scheme combining a “revenue sharing + cost sharing” contract with risk-sharing strategies is designed to prove that this composite contract can effectively eliminate the double marginalization effect and bring the expected profit of decentralized decision-making to the Pareto optimal level of centralized decision-making. The research findings indicate that the realization of supply chain coordination depends on the precise positioning of member roles-suppliers can significantly increase the circulation scale of fresh agricultural products by deeply focusing on consumer utility, forming a win-win situation for all parties; enterprises' active sharing of farmers' production risks becomes a key lever to enhance the overall chain profit, and its risk compensation mechanism can simultaneously motivate farmers to increase production effort and product quality. This paper provides a “production-preservation-circulation” three-dimensional collaborative decision-making paradigm for the contract coordination of multi-level fresh agricultural product supply chains, offering theoretical support and practical references for mitigating the bullwhip effect in agricultural product supply chains and promoting the implementation of the rural revitalization strategy.

In the context of major changes unseen in a century, opportunities and risks coexist. Organizational resilience, which refers to an enterprise′s ability to resist, respond to, and recover from internal and external shocks and challenges, is a key support and guarantee for the high-quality development of enterprises. With the rapid development of the digital economy, the connection between digital transformation and organizational resilience has become increasingly close. To deeply study the impact of enterprise digital transformation on organizational resilience and further explore the mediating and moderating roles of dual innovation and corporate social responsibility in this relationship, based on the dynamic capability theory, this paper takes listed manufacturing companies on the Shanghai and Shenzhen A-share markets from 2010 to 2022 as samples and uses multiple regression methods for empirical testing. This paper finds that enterprise digital transformation can significantly enhance organizational resilience. Notably, the impact of each stage of enterprise digital transformation on organizational resilience varies, with the basic data layout in the initial stage exhibiting the greatest positive impact. Moreover, the impact of enterprise digital transformation on organizational resilience also shows industry heterogeneity, with the technology-intensive industry demonstrating the greatest impact, followed by the capital-intensive industry, and the labor-intensive industry showing no significant effect. Further analysis reveals that enterprise digital transformation can significantly enhance organizational resilience through dual innovation, and corporate social responsibility positively moderates the promoting effect of enterprise digital transformation on dual innovation. In the mediation effect test, exploitative innovation plays a dominant role, with its contribution far exceeding that of exploratory innovation, and it is the key path for digital transformation to enhance organizational resilience. The research conclusions not only deepen enterprises′ understanding of the mechanism of the interaction between digital transformation and organizational resilience, encouraging them to accelerate the process of digital transformation, but also provide useful decision-making references for government departments to formulate effective policies.

Under the external environment of tense international situations and slow economic recovery, China has encountered challenges such as weak domestic effective demand and increased risks in key areas. These uncertainties not only test the adaptability of the economic system, but also place greater demands for its sustainable development. It is of great significance to enhance the risk resistance and stability of the economic system, that is, economic resilience. As an efficient, intelligent, and sustainable social support system, the new-type infrastructure serves as an important way to enhance urban economic resilience. Based on the urban panel data from 2011 to 2021, this paper empirically examines the direct effects, mechanisms, and spatial spillover effects of the construction of new-type infrastructure on urban economic resilience by using the two-way fixed effects model, the chain mediation effect model, and the spatial econometric model. The results show that the construction of new-type infrastructure significantly enhances urban economic resilience, and this result holds across robustness tests. Mechanism tests show that the construction of new-type infrastructure indirectly plays an enabling role by strengthening innovation capabilities and accelerating digital transformation, and there is a chain mediation effect whereby innovation capability improvement promotes digital transformation, which in turn boosts urban economic resilience. Heterogeneity analysis reveals that the impact of construction of new-type infrastructure on economic resilience is the most pronounced in the eastern cities, followed by western cities, while the impact is least evident in central cities. In addition, the results of spatial econometric regression show that the construction of new-type infrastructure exhibits a significant positive spatial spillover effect on urban economic resilience. From the perspective of promoting innovation and digital transformation, this paper analyzes and verifies the specific mechanisms and effects through which the construction of new-type infrastructure enhances urban economic resilience, enriching the relevant research on urban economic resilience. Based on these findings, this paper puts forward countermeasures and suggestions to improve urban economic resilience, including strengthening support for the construction of new-type infrastructure, stimulating innovation vitality, facilitating digital transformation, improving the spatial layout of and promoting regional coordination in the construction of new-type infrastructure, and giving full play to the spillover effect of new-type infrastructure.

As an important path to promote common prosperity, the inclusive development of digital technology has significantly optimized the income distribution pattern by empowering the three distribution mechanisms. Based on the Inclusive Green Development Follow-up Survey (IGDS) data in the first quarter of 2024, this paper systematically examines the impact of digital technology on primary, secondary, and tertiary distribution. The findings are as follows. At the primary distribution level, digital skills have significantly improved workers′ income levels by reconstructing the labor market, with the income growth effect being particularly prominent among groups with high digital skills. However, skill stratification has exacerbated the income gap. At the secondary distribution level, the transformation of government governance driven by digital technology has effectively improved the fairness and efficiency of the secondary distribution policies through intelligent tax supervision, precise social security, and digital public services. At the tertiary distribution level, digital technology has increased charitable donations by reducing participation costs, enhancing information transparency, and broadening donation channels, initially shaping a collaborative mechanism between marketization and socialization. Nevertheless, the digital divide persists, manifested as the structural disadvantages of rural and low-skilled groups in terms of access to, use of, and benefit from technology. Based on this, it is proposed a four-dimensional policy system of “digital skills training-balanced infrastructure-digital and intelligent taxation-charity transparency” to consolidate the institutional foundation of common prosperity through the inclusive development of digital technology.

Employment is the foundation of people′s livelihood and economic development. To achieve fuller and higher-quality employment is a necessary requirement for making solid progress in promoting common prosperity in China. The digital economy, as an important driving force to advance Chinese modernization, contributes to high-quality employment in multiple dimensions, including the employment structure, employment boundary, employment quality, and regional equilibrium. However, it has also triggered a series of social problems, such as the supply and demand mismatch in the labor market, structural employment contradictions, industry involution, and algorithmic hegemony. Therefore, exploring the impact of digital economy on China′s employment holds profound significance for achieving higher-quality employment and promoting common prosperity. As China′s economy moves towards a new stage of high-quality development, it should involve strengthening support for digital employment, optimizing the employment environment, improving employment-first policies, and standardizing labor management systems in platform-based enterprises during the process of promoting digital industrialization and industrial digitalization. With the fundamental goal of narrowing the gap between the rich and the poor and achieving common prosperity, it is crucial to develop a more inclusive digital economy and transform limited human capital into a new driver of high-quality economic development. Only in this way can China build resilient industrial and supply chains, fully energize its super-large market, and lay a solid foundation for inclusive economic growth and high-quality employment under the New Development Pattern.

In recent years, China′s digital economy has developed rapidly, and digital technologies such as artificial intelligence and big data have also shown accelerated growth, which has become an important force in improving urban carbon productivity. This paper selects panel data from prefecture-level cities in China from 2010 to 2022 for empirical testing and employs a two-way fixed effects model for benchmark regression analysis. Then, this paper conducts robustness tests by replacing the dependent variable and changing the sample size, performs heterogeneity tests across different regions, and carries out transmission mechanism tests by enhancing green technology innovation capabilities and promoting industrial structure upgrading. The research results indicate that the digital economy promotes urban carbon productivity by enhancing green technology innovation capabilities and promoting industrial structure upgrading. Based on these findings, this paper proposes countermeasures and suggestions, such as breaking through digital technology barriers, enhancing innovation capabilities, narrowing the digital divide between different regions, promoting regional coordinated development, optimizing industrial and energy structures to improve carbon productivity, and fully leveraging the role of green technology innovation in boosting carbon productivity.

In the face of increasingly complex economic situation in the world, the integration of business development with digital technology application has accelerated enterprise digital transformation, making it a key strategy for enterprise adaptation. Against the backdrop of shrinking foreign trade demand, the impact of enterprise digital transformation on export resilience has received growing attention from both academia and industry. Using data from the CSMAR database and annual reports of listed companies, this paper takes the 2020 public health crisis as an exogenous shock and applies a Difference-in-Differences (DID) approach to examine how enterprise digital transformation affects export resilience and its underlying mechanisms. The baseline results show that digitally transformed enterprises exhibit stronger export resilience after the shock, demonstrating the positive role of digital transformation in enhancing export resilience. The findings remain robust and highly credible across multiple tests. Mechanism analysis reveals that the current ratio plays a positive mediating role in the effect of digital transformation on export resilience, implying that digital transformation strengthens export resilience under external shocks by enhancing financial liquidity. Furthermore, digital transformation can significantly alleviate insufficient innovation investment, thereby improving export resilience. Heterogeneity analysis shows that the positive effect of digital transformation on export resilience is more pronounced in state-owned enterprises and enterprises in the eastern region of China. This paper aims to enrich the current academic findings on the effect of digital transformation and provide empirical evidence for enterprises developing digital transformation strategies.

The relationship between the digital economy and residents′ cultural consumption involves not only micro-level issues closely related to residents′ daily lives but also macro-level issues concerning the formulation of cultural consumption policies in China. By combining macro and micro data, this paper constructs an evaluation index system for China′s digital economic development from three aspects: digital infrastructure, digital application, and digital innovation. It calculates the comprehensive index of digital economic development for 30 provincial-level regions in China (excluding Hong Kong, Macao, Taiwan, and Xizang) from 2011 to 2021 and empirically examines the impact of digital economic development on households′ cultural consumption level and its mechanism. This paper finds that the digital economy significantly enhances households′ cultural consumption level, with significant heterogeneity among households at different life cycle stages, with different income levels, and in different regions. Specifically, the digital economy exerts the most significant positive effect on cultural consumption in households with a household head aged 60 and above, followed by those with a household head aged 30 to 39; it most significantly boosts cultural consumption in upper-middle-income households, with high-income households ranking second; and the promoting effect of the digital economy on the central and western regions is greater than that on the eastern region. The results of the mediation effect test show that the digital economy elevates households′ cultural consumption level by increasing per capita net income on the demand side and facilitating industrial structure upgrading on the supply side. Therefore, it is necessary to actively encourage the innovative development of the digital cultural industry, enrich the supply of digital cultural products to meet the cultural consumption needs of different groups, and at the same time cultivate and expand new forms of digital cultural consumption, expand cultural consumption scenarios, and release the potential of digital cultural consumption.

The miniaturization of smart factories is an important path for small and medium-sized enterprises to achieve intelligent manufacturing. Using a literature review method, this paper systematically retrieves related literature on micro smart factories from databases such as CNKI, Web of Science, and Scopus. Combining studies on micro factories and smart factories, this paper defines a micro smart factory and analyzes the constituent elements of a micro smart factory from three aspects: conceptual subjects, technical foundations, and development goals. It is believed that micro smart factories have characteristics of subject specificity, technical similarity, subject applicability, and functional fundamentality compared to traditional smart factories. This paper also clarifies conceptual differences among micro factories, smart factories, intelligent manufacturing, and micro smart factories. Additionally, based on application scenarios of micro smart factories, it constructs a research framework following the logic of “influencing factors-development barriers-implementation paths-goals and outcomes”. This paper finds that influencing factors of micro smart factories involve three aspects: technological, organizational, and environmental levels. Development barriers include financial, technological, talent, and management obstacles. Building micro smart factories requires solving issues in five areas: finance, technology, talent, cognition, and management support. The goals and outcomes of micro smart factories differ at both micro and macro levels. Finally, this paper proposes future development directions for micro smart factories from four dimensions: construction and practice, theoretical framework, benefits and governance, and growth changes and boundary effects, providing references for theoretical research on micro smart factories and the future development of intelligent manufacturing in China.

With the rapid development of the market economy, mergers and acquisitions (M&As) and restructuring have become the main commercial activities in the securities market. To explore the impact and mechanism of M&A and restructuring inquiry letters on corporate ESG performance, based on the theoretical analysis, all A-share listed companies that underwent M&As and restructuring from 2015 to 2021 are selected as the research objects, and regression tests are conducted under strict control of time and individual fixed effects, further expansion analysis is conducted on the economic consequences and characteristics related to M&A and restructuring inquiry letters, and the heterogeneity of the impact of M&A and restructuring inquiry letters on corporate ESG performance under different levels of financing pressure is explored. Research has found that M&A and restructuring inquiry letters can significantly improve the ESG performance of the surveyed companies through a dual path of increasing analyst attention and alleviating information asymmetry issues. Further analysis reveals that the impact of receiving letters on a company's ESG rating is short-term, with an improvement in the quality of ESG information disclosure after receiving letters, and the mechanism of action is similar to that of ESG performance. At the same time, changes in the effectiveness of M&A and restructuring inquiry letters are revealed, and it is found that their impact on ESG performance significantly decreases after 2019. Heterogeneity analysis shows that this promoting effect is more significant in non-state-owned enterprises and enterprises with higher levels of financing constraints. This paper verifies the optimization effect of M&A and restructuring inquiry letters on corporate ESG performance, there is heterogeneity in the regulatory effects on companies under different financing pressures, indicating that the ability of companies to withstand potential risks in their financing activities weakens the promotion effect of M&A and restructuring inquiry letters on ESG performance.

Urban transportation is one of the key sectors contributing to urban carbon emissions. Investigating efficient carbon reduction paths is of significant importance for promoting the high-quality development and green, low-carbon transformation of the transportation sector. Beijing, a city with a dense population and frequent economic activities, has considerable energy consumption and carbon emissions in its transportation sector. The Chinese government has pledged to peak carbon emissions by 2030 and achieve carbon neutrality by 2060. Therefore, studying the relationship between transportation carbon emissions and economic growth in Beijing, as well as exploring effective carbon reduction measures, is crucial for achieving these goals. This paper takes Beijing as a case study and employs a “top-down” approach to calculate the annual carbon dioxide emissions from its transportation sector. It analyzes the decoupling status between transportation carbon emissions and economic growth and constructs a system dynamics model for urban transportation carbon emissions. The model considers multiple subsystems, including the population and economy subsystem, the transportation subsystem, the energy and carbon emissions subsystem, and the private car cost subsystem. By simulating and forecasting the trends in carbon dioxide emissions from urban transportation in Beijing, the study investigates the changes in emissions under various carbon reduction strategies. The study calculates and analyzes the carbon emissions from Beijing's transportation sector, revealing an increasing trend in recent years. It also shows that the decoupling status between transportation carbon emissions and economic growth is characterized by either an expanding or weak decoupling, failing to achieve the ideal state of strong decoupling. Based on this, the study develops a system dynamics model for urban transportation carbon emissions and simulates the emission trend variations under different scenarios. The results indicate that adjusting the vehicle energy structure, controlling private transportation demand, and improving energy efficiency are effective measures for reducing transportation carbon emissions. Promoting new energy vehicles, implementing stringent traffic restriction policies, and enhancing energy-saving technologies can significantly reduce transportation carbon emissions. This paper not only examines the ecological benefits of implementing carbon reduction measures from a policy perspective but also assesses their economic benefits, thereby enriching the evaluation framework of transportation carbon reduction policies. Furthermore, the study considers the cost changes for consumers resulting from policy implementation, comprehensively evaluating the implementation effects and guiding role of the policy from both the ecological and economic benefits. The findings offer valuable guidance for government departments in selecting efficient and rational carbon reduction policies, which will help promote high-quality economic development and high-level protection of the ecological environment. Additionally, the research provides insights for low-carbon transportation development in other regions and holds significant theoretical and practical values for achieving the green and low-carbon transformation of the transportation sector.

New forms of consumption can not only meet the people's ever-growing needs for a better life but also hold an important strategic significance for expanding domestic demand, improving industrial quality and efficiency, and developing New Quality Productive Forces. On the basis of reviewing the dynamic changes in new forms of consumption, this paper analyzes its current challenges and prospects and then puts forward some suggestions. This paper reveals that, during the 14th Five-Year Plan period, China has achieved remarkable progress in developing new forms of consumption. Specifically, the scale of digital consumption has grown rapidly, with increasingly diversified and high-quality offerings; green consumption concepts have gained widespread acceptance, reflected in strong sales of new energy vehicles and eco-friendly home appliances; and health awareness has been significantly enhanced, driving the upgrading and expansion of health-related consumption. However, new forms of consumption in China are also faced with such challenges as an insufficient supply of high-quality products, weak income expectations among residents, and an under-optimized consumer market environment regarding regulation, standards, and infrastructure, thus inhibiting the release of consumption potential. Looking ahead to the 15th Five-Year Plan period, the prospect of new forms of consumption is promising. Technological transformations will continue to drive the development of new consumption forms and models. Green consumption is gradually becoming more widespread, injecting new vitality into the market. Changes in the demographic structure hold new momentum for new forms of consumption. Therefore, China should make efforts to create effective demands for new forms of consumption with high-quality supply, release the consumption potential by enhancing consumption expectations, and optimize the environment of new forms of consumption by strengthening the construction of “soft” institutions and “hard” infrastructure.

Guided by the new development concept, the evaluation index system of high-quality economic development in China is constructed from the five dimensions of innovation, coordination, green, openness and sharing. The entropy method and coefficient of variation are comprehensively used to comprehensively reveal the high-quality economic development level and regional differences of 30 province-level regions in mainland China (the data of Xizang is missing) from 2011 to 2021. The research results show that the overall high-quality development level of China's economy has steadily improved; There is an imbalance in the development of various dimensions of high-quality economic development, tending towards unbalanced development, with the highest score for innovative development and the lowest level of open development, and the gap between various dimensions is gradually widening. There are significant differences in the level of high-quality economic development among different regions; The level of high-quality economic development in the central, western, and northeastern regions is significantly lower than that in the eastern region, and there is a large gap between them. The overall coordination of high-quality economic development regions is gradually strengthening, and regional disparities are gradually narrowing; The internal disparities in high-quality economic development among the eastern, central, western, and northeastern regions are uneven, showing a trend of differentiated evolution. Regional differences are the main reason for the differences in high-quality development of the Chinese economy, with the degree of differences being in the order of East Northeast, East Central, East West, West Northeast, Central Northeast, and Central West. The largest regional differences are in the eastern region, which is significantly higher than in the northeast, west, and central regions.