The construction of digital countryside plays an important role in promoting rural economic transformation, social governance, village style construction, ecological harmony and other functions. Based on the theory of multifunctional village, the paper tries to construct the construction path of digital village high-quality development’s construction function and value reconstruction. The study found that the current digital rural construction has five functional types of politics, economy, society, culture and ecology, showing the typical characteristics of systematism, diversity, difference and modernity. However, due to the government’s lack of understanding of the functions of digital rural construction, digital rural construction is also faced with functional difficulties such as inaccurate concept positioning, unscientific development model, unstable relationship network, insufficient diversity of cultural elements, and disharmonious ecological environment. In order to break through the above predicament, it is necessary to clarify the concept of rural construction, activate rural production factors, cultivate rural social capital, tap rural cultural genes, and promote rural environmental remediation in the future, so as to better realize the function and value reshaping of digital rural construction.

New quality productivity are advanced productivity that break away from traditional growth paths and are more in line with new development concepts, it continuously decouple from resource consumption in the process of development, providing new momentum for the green and low-carbon economic and social development. Different from the perspectives of existing research on measuring the development level and impact effects of new quality productivity,it focuses on exploring the decoupling effect of resource consumption of new quality productivity based on the measurement of their level. Based on panel data from 30 provincial-level administrative regions in China from 2011 to 2022, the entropy weight TOPSIS method is used to measure the development level of new quality productivity, and the Tapio elastic decoupling model is further used The LMDI decomposition model calculates the decoupling level and driving factors between new quality productivity and resource consumption. The results showed that during the research period, the development level of new quality productivity in the national and provincial-level administrative regions showed a steady upward trend during the T1-T4 period, and showed a differentiated pattern of eastern>central>northeast>western regions. Decoupling analysis confirms that there are significant differences in the decoupling status between new quality productivity and resource consumption among provinces, with Beijing, Tianjin, Shanghai, Jiangsu, Zhejiang, and Guangdong all reaching strong decoupling status. Guizhou, Yunnan, Shaanxi, Qinghai, Ningxia and Xinjiang are in a growth linkage state. The remaining 18 provinces, cities, and autonomous regions are in a weak decoupling state. The decomposition of decoupling driving factors reveals that digital economy development, green technology innovation, strategic emerging industry agglomeration, and environmental regulation are the four major driving factors for the decoupling of new quality productivity and resource consumption, and environmental regulation plays a major driving role in the decoupling process. Based on the above conclusions, suggestions are proposed to develop new quality productivity according to local conditions, draw a blueprint for green technology innovation and development, and flexibly apply environmental regulation combinations, so as to provide useful references for accelerating the development of new quality productivity and promote resource consumption decoupling.

Against the backdrop of escalating global trade frictions and the restructuring of industrial chains, China’s pattern of outward direct investment is undergoing an unprecedented reshaping and adjustment. Meanwhile, the rapid development of industrial intelligence has become an indispensable key variable in China’s strategic layout of outward direct investment. The article comprehensively analyzes the impact of industrial intelligence on China’s outward foreign direct investment (OFDI) based on panel data from 212 prefecture level and above cities in China from 2011 to 2022. The research results are as follows. Firstly, industrial intelligence significantly promotes China’s OFDI, and this conclusion still holds true after overcoming endogeneity issues and conducting a series of robustness tests. Secondly, industrial intelligence can increase productivity to expand OFDI and intensify domestic market competition to drive OFDI. Thirdly, the richer the human capital and the higher the degree of openness to the outside world in the region, the more obvious the promotion effect. Fourthly, the impact of industrial intelligence on OFDI has a single threshold effect of digital finance, which only shows significant positive effects when the digital finance development in the region reaches a certain level. Fifthly, the impact of industrial intelligence on China’s OFDI shows significant heterogeneity, with only a significant promoting effect along the "Hu Huanyong Line" and in the southeastern region of China; And the promotion effect is more significant in non resource cities, areas with better intellectual property protection, and more complete digital infrastructure. From the perspective of industrial intelligence technology empowerment, this study re-examines the new driving forces of China’s OFDI, enriches the theoretical and empirical research on the development of industrial intelligence and China’s OFDI, and provides certain policy implications for China to efficiently utilize industrial intelligence to enhance global competitiveness and optimize the "going global" strategic layout in the digital economy era.

Building a national unified market is a key strategy for establishing a high-level socialist market economy and advancing Chinese modernization. This research systematically examines its internal logic, real-world constraints, and distinctive functions. Studies indicate that the development of a national unified market is grounded in clear historical logic, urgent practical logic, and rigorous theoretical logic. As a large transitional developing country, China’s market exhibits a series of typical characteristics—such as enormous scale yet severe fragmentation, rich hierarchies yet complex structures—and its construction process consistently involves trade-offs among multiple deep-seated constraints, including industrial policy versus competition policy, central-local relations, and openness versus security. Further analysis reveals that the national unified market plays an irreplaceable role in coordinating the new dual-circulation development pattern: by deepening the division of labor and promoting the optimal allocation of factors, it effectively aligns incremental and stock resources, quality and quantity, new and old growth drivers, aggregate supply and aggregate demand, as well as effective markets and proactive government, thereby providing solid institutional support and market foundations for smoothing national economic circulation, shaping new development advantages, and addressing internal and external risks and challenges.

Existing studies have primarily focused on the technical dimensions of fiscal and monetary policy interaction, while relatively few have examined the institutional linkage between the two from the perspective of the budget management system. This study incorporates the central bank’s profit transfer and loss coverage rules into a two-sector DSGE model by introducing the objective functions and budget constraints of both the fiscal authority and the central bank. The optimal fiscal and monetary policy functions are derived under cooperative and non-cooperative game equilibria.The findings indicate that profit transfer and loss coverage rules significantly influence the policy behavior of both the fiscal authority and the central bank. Central bank profit transfers expand the fiscal space for deficit policies and enhance fiscal sustainability, while fiscal transfers to the central bank increase the flexibility of interest rate policy implementation. However, when deficit and net capital targets are taken into account, both fiscal and monetary authorities tend to deviate from their optimal policy objectives. The policy recommendations proposed in this study provide a reference for improving the institutional mechanisms between fiscal authorities and the central bank, enhancing the independence of monetary policy, strengthening the coordination between the two policies, and establishing a modern fiscal and financial system.

Accelerating the empowerment of the circulation system modernization by the digital economy plays a significant role in constructing the new development pattern. Existing research has shortcomings in precisely identifying and combining key elements of the digital economy to effectively drive the modernization of the circulation system towards higher efficiency and intelligence. To address this, the article conducts an empirical study using a sample of 30 Chinese provinces from 2013 to 2022, based on the BP neural network model and fuzzy-set Qualitative Comparative Analysis (fsQCA). The results show that among the elements through which the digital economy influences the construction of a modern circulation system, digital infrastructure is the primary factor, followed by digital industrialization, with industrial digitalization ranking last, thus verifying the hypothesis. There are two types of configurational paths for the digital economy’s empowerment of the modern circulation system: high-level and low-level configurations. The high-level configurations include two promotion models: comprehensive development and "infrastructure+digital industrialization" development. The low-level configurations include three hindrance models: overall deficiency, "infrastructure+X" deficiency, and only digital infrastructure deficiency. From the configurational paths, digital infrastructure is a necessary element for the digital economy to empower the construction of a modern circulation system and a prerequisite for the digital economy to achieve effective empowerment in the construction of the modern circulation system. This study deepens the identification of elements through which the digital economy empowers the construction of a modern circulation system and proposes specific configurational paths, providing differentiated and implementable digital empowerment solutions for the government and circulation enterprises.

The key to strengthening and expanding the digital economy lies in understanding its endogenous mechanisms. Existing studies, largely based on Western frameworks, focus on scale measurement and static structures, overlooking the systemic links among production, exchange, circulation, and consumption. This paper introduces Marx’s reproduction theory and develops a unified framework combining national statistical standards×reproduction theory×high-dimensional input-output tables, embedding the digital economy within the full reproduction process. Our findings show: (1) an unbalanced "strong at both ends, weak in the middle" structure, with production and consumption sectors dominating, while exchange and circulation sectors constrain efficiency; (2) a chain-like internal circulation, where consumption stimulates production, which drives exchange and circulation, with low value-added in digital product manufacturing limiting sectoral strengthening; (3) final demand effects indicate that the production sector drives consumption and investment, serving as the core engine of reproduction, whereas the consumption sector is the main source of demand. The production sector is investment-dependent, other sectors are consumption-dependent, and all show low reliance on net exports, highlighting the domestic-driven nature of China’s digital economy. This study provides a theoretical basis for understanding its reproduction process and guiding its development toward being stronger, better, and larger.

Promoting the high-quality development of securities firms’ wealth management services is not only a key lever for optimizing the service functions of the capital market, but also a strategic measure to accelerate the construction of a strong financial country. Breaking through the limitations of existing literature that only focuses on the one-dimensional impact of digital transformation or international operations, this article uses a two-way fixed effects panel regression model based on the full sample data of the securities industry from 2017 to 2021 to systematically examine the mechanism and impact of digital transformation combined with international operations on the high-quality development of securities firms' wealth management services. The results show that the coordinated development of digital transformation and international operations helps to promote the expansion and structural optimization of securities firms’ wealth management business, thereby achieving a leap in service level. Channel testing found that the combined effect of the two factors helps to activate customer securities trading behavior and increase the sales rate of wealth management products, but the impact on investment consulting services is relatively limited. The conclusion of this study provides important theoretical support for Chinese financial institutions to deeply grasp the operating rules of the cross-border wealth management market, and at the same time provides empirical evidence and decision support for them to break through the bottleneck of overseas market development and achieve global strategic layout.

The impact of China’s "rice versus wheat agriculture" production pattern on household debt has rarely been mentioned. Using CHIPs data as a research sample and combining it with regression discontinuity analysis, this study reveals the mechanisms and effects of the north-south divide on Chinese households’ financial dilemma, further expanding the research on Chinese household debt behavior. Compared to northern regions, households in the south have larger debt scales and higher debt capacity. While they are "more willing to borrow," they are less likely to fall into financial dilemma. The underlying mechanism lies in the fact that the "rice versus wheat agriculture" pattern has fostered a "higher-in-the-south-and-lower-in-the-north" willingness for entrepreneurship and business activities. Households in the south have significantly lower levels of investment in business activities compared to the north, while there is no significant difference in business income between the two regions. This indicates that the southern region has a favorable entrepreneurial atmosphere and effective business outcomes, which further promotes household entrepreneurship and business activities. Moreover, the strong commercial atmosphere creates conditions for the widespread development of borrowing activities.

The reduction of the pension insurance contribution rate reduces the burden of enterprises and is conducive to the realization of a virtuous circle between the development of enterprises and the development of the pension insurance system. Existing studies mostly focus on the impact of reducing the pension insurance contribution rate on employees' income and employment, and there is little literature on the impact of reducing the pension insurance contribution rate on the internal income gap of enterprises. Based on the data of A-share listed companies from 2012 to 2022, the article uses the double-difference method to examine the impact of the 2019 pension insurance contribution rate reduction policy on the intra-enterprise income gap. It is found that reducing the pension insurance contribution rate significantly reduces the intra-enterprise income gap. The mechanism test shows that reducing the pension insurance contribution rate can reduce the intra-enterprise income gap by promoting enterprise innovation and alleviating enterprise financing constraints. Heterogeneity analysis shows that for small-scale enterprises, capital and technology-intensive enterprises, enterprises in eastern cities and enterprises in central cities, the inhibiting effect of reducing the pension insurance contribution rate on the intra-enterprise income gap is more significant. Further analysis shows that the impact of the pension insurance contribution rate reduction policy on the intra-enterprise income gap is more pronounced when the pension insurance contribution rate reduction is relatively large. The findings of the study provide empirical evidence and decision-making references for promoting the reform of the pension insurance contribution system, further improving the redistribution adjustment mechanism, and thus promoting the fairness of income distribution.

Knowledge hiding is a defensive behavior aimed at protecting personal resources, it impedes knowledge flow within organizations and severely impacts organizational effectiveness. Although existing research on the impact of various leadership styles on employee knowledge hiding is abundant, the specific influence of leaders’ high performance expectations—a distinct leadership behavioral characteristic—remains an underexplored domain. Previous studies have predominantly focused on the positive outcomes of high performance expectations, paying insufficient attention to its potential "dark side." Drawing upon Conservation of Resources Theory, this study constructs a moderated mediation model to investigate the mediating role of workplace anxiety and the moderating role of competitive climate. Using a multi-stage longitudinal survey design, data were collected from 329 employees across 72 teams, followed by cross-level analyses. The results indicate that workplace anxiety mediates the relationship between leaders’ high performance expectations and employee knowledge hiding. Furthermore, competitive climate strengthens the relationship between leaders’ high performance expectations and workplace anxiety; it also moderates the indirect effect of leaders’ high performance expectations on knowledge hiding via workplace anxiety. These findings are significant for understanding the underlying mechanisms linking leaders’ high performance expectations to knowledge hiding, providing new insights for managers to set reasonable performance goals and mitigate knowledge hiding behaviors.

The industrialization process of artificial intelligence technology is reshaping the global economic pattern, and the changes in employment structure, income distribution adjustment and industrial transformation and upgrading caused by it have become challenges for policy-making in various countries. How to find a balance between technological dividends and social equity has become a practical problem to be solved. By constructing a multi sector dynamic stochastic general equilibrium model (DSGE) including AI and its capital tax, this study found that the deepening and popularization of AI reduced the employment scale and wage level and reduced the share of labor income through the employment substitution effect; It further leads to the loss of social welfare by expanding the income gap between groups. For the "double-edged sword"effect of artificial intelligence, a single tax policy or monetary policy can not achieve the goal of promoting the development of new productivity and narrowing the income gap at the same time, so we should use the "combination fist"of policy to hedge the "side effects"of policy. The essence of AI policy optimization is to rebalance efficiency and fairness, innovation and stability, technical rationality and social value. This study found that moderate AI capital tax can inhibit income polarization, alleviate the decline of labor income share by weakening the effect of economic stimulus and inhibiting the effect of employment crowding out, and improve social welfare by reducing the income gap between groups through income redistribution. This paper proposes that the total output will increase and the income gap will narrow with the implementation of tight tax policy for artificial intelligence, loose tax policy for physical capital and loose monetary policy. At the same time, it is necessary to further strengthen the long-term and short-term coordination and cross cycle coordination of tax and monetary policy, improve the skill training system of the labor market, and help achieve the goal of diversified economy of artificial intelligence development and narrowing the income gap.

As an environmental regulatory instrument balancing carbon reduction commitments and sustainable development, does the low-carbon city pilot policy achieve energy conservation and emission reduction while triggering systemic socio-economic transformation that impacts urban resilience? Existing studies have yet to conclusively determine whether carbon mitigation can be advanced without compromising economic resilience. Leveraging the low-carbon city pilot policy as a quasi-natural experiment, this study investigates the mechanisms and heterogeneity of how low-carbon transitions affect urban economic resilience, employing a staggered difference-in-differences (DID) approach for empirical validation. The findings reveal that: (1) While the pilot policy enhances urban economic resilience overall, this effect exhibits a dynamic U-shaped pattern—initial suppression followed by subsequent promotion. This dynamic arises as the effects on resistance and adaptability subsystems shift over time, initially inhibitory then turning promotive, whereas the recovery subsystem demonstrates a steadily strengthening trend. (2) Mechanism analyses indicate that the policy enhances resilience by promoting cleaner industrial transformation, advancing low-carbon transportation, attracting human capital inflows, and fostering green consumption among residents. (3) Heterogeneity tests show stronger resilience-enhancing effects in cities with higher economic agglomeration, superior business environments, and less distorted factor markets. (4) A micro-level employment assessment reveals that the policy generates "brown unemployment" in polluting sectors but simultaneously stimulates "green employment" in clean industries, ultimately yielding net job creation spillovers at the urban level. The economic resilience benefits of low-carbon transitions outweigh their costs. This study deepens the understanding of resilience drivers from an environmental policy perspective, offering critical insights for mitigating systemic risks and advancing high-quality development under China’s rigid "Dual Carbon" constraints.