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  • 2026 Volume 2 Issue 18
    Published: 14 October 2026
      

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  • 2026, 2(18): 1-32.
    Abstract ( ) Download PDF ( )   Knowledge map   Save
    In the new stage of Chinese-style modernization, the 15th Five-Year Plan have listed leading the development new quality productive forces and developing patient capital as core strategic tasks. New quality productive forces, as a major original theoretical innovation in Xi Jinping Economic Thought, are advanced productivity led by scientific and technological innovation, featuring originality, factor integration, green and low-carbon development, and institutional innovation. Its formation requires long-term investment, high-risk exploration and systematic collaborative innovation, which is incompatible with the short-term profit-seeking logic of traditional capital. Patient capital refers to long-term holding, strategic oriented and risk tolerant capital, which is naturally compatible with the long-cycle and high-uncertainty development needs of new quality productive forces. The coordinated development of the two is crucial to implementing the innovation-driven development strategy, achieving high-level self-reliance in science and technology, and building a modern industrial system. Based on the strategic orientation of the Outline of the 15th Five-Year Plan for National Economic and Social Development, this paper explores the internal theoretical logic and practical policy paths for their coordinated development, providing theoretical support and operational references for cultivating new quality productive forces and improving the financial system supporting scientific and technological innovation in the 15th Five-Year Plan period.
    This paper focuses on clarifying the interactive coupling mechanism between patient capital and new quality productive forces, building a systematic collaborative development framework and designing targeted policy paths. The research follows the logic from theoretical construction to practical application: defining the core connotations of patient capital and new quality productive forces, analyzing their internal interactive logic; constructing a three-dimensional collaborative framework of patient capital, innovation ecosystem and new quality productive forces, and revealing the triple coupling mechanism of capital, institution and innovation; proposing a three-dimensional practical system from institutional supply, financial support and policy incentives; summarizing key policy implications and putting forward feasible suggestions.
    In terms of research methods, this paper adopts normative theoretical analysis, literature review and logical deduction. It systematically sorts out existing studies on patient capital and new quality productive forces, integrates the theoretical connotations of Marxist political economy and innovation economics, and constructs a theoretical analysis framework through logical deduction. Meanwhile, it carries out policy text analysis based on the 15th Five-Year Plan and the spirit of the Fourth Plenary Session of the 20th Central Committee, and designs practical policy paths combined with China’s national conditions and the development reality of technology and finance. The main conclusions are as follows. First, patient capital and new quality productive forces form a two-way empowering and circularly reinforcing relationship through capital coupling, institutional coupling and innovation coupling. Patient capital positively empowers the cultivation of new quality productive forces through long-term capital supply, corporate governance optimization and risk sharing. New quality productive forces reversely strengthen patient capital and attract long-term capital agglomeration through return appreciation, risk mitigation and scale expansion, forming a closed-loop growth mechanism. Second, the three-dimensional collaborative framework of patient capital, innovation ecosystem and new quality productive forces is the core theoretical support for their coordinated development. Third, their coordinated development needs to rely on a three-dimensional practical system of institutional supply, financial support and policy incentives. Fourth, four logical transformations are needed: shifting from short-term capital logic to long-term innovation logic, from fragmented support to systematic coordination, from capital supply-side to institutional supply-side, and from unilateral support to two-way empowerment.
    Based on the conclusions, this paper puts forward three policy recommendations: improving the institutional supply system by strengthening intellectual property protection, implementing differentiated supervision for long-term capital and promoting patient-oriented reform of state-owned capital; optimizing the financial support system by expanding long-term capital sources, innovating special financial tools and building a capital patience index; strengthening the policy incentive system by giving play to the guiding role of fiscal investment, optimizing the innovation ecosystem and building a green patient capital system.
  • 2026, 2(18): 33-59.
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    The rapid iteration and breakthrough of artificial intelligence (AI) technology have driven a wave of AI entrepreneurship, making AI an important force for promoting economic development and reshaping income distribution. Considering the potential applications of AI in a wider range of regions and more scenarios, more research has begun to focus on the economic consequences of AI. Among these consequences, the impact of AI on income inequality has become increasingly prominent. As an application of AI technology, AI entrepreneurship activities are characterized by features that have profoundly influenced the comparative advantages of core and peripheral regions, thereby challenging the applicability of the traditional core-periphery urban structure in studying the economic outcomes of such activities. As various AI startups engaged in the research and application of AI technology, their remote and virtual characteristics, as well as the use of emerging data elements as core production factors, have profoundly influenced the comparative advantages of central and peripheral regions, weakening the dependence of regional economies on central areas. Based on the new perspective of AI entrepreneurial activities, this paper uses data from 284 prefecture-level cities in China from 2011 to 2022 to study the impact of AI entrepreneurship on within-region income imbalance.
    The results show that AI entrepreneurship can significantly reduce within-region income imbalance, and this impact has a lasting and scale effect. For every 1% increase in the number of newly registered artificial intelligence enterprises and the total number of artificial intelligence enterprises in the current year, the Gini coefficient of the city decreases by 1.3% and 2.4%, respectively. The core conclusion remains robust after a series of robustness checks. Heterogeneity analysis reveals that the role of AI entrepreneurship in reducing within-region income imbalance is more pronounced for regions that place greater importance on digital economic infrastructure, have higher levels of digital inclusive finance development, and have more advanced AI technologies. The potential mechanisms show that the channels through which AI entrepreneurship reduces within-region income imbalance stem from the fact that AI entrepreneurship has reduced the dependence of the traditional center-periphery urban structure on the central areas, which include both direct and indirect effects. For direct effects, AI entrepreneurship has narrowed the income disparity including promoting regional employment and narrowing the income gap between urban and rural areas. For indirect effects, AI entrepreneurship has forced regions to improve infrastructure construction, optimized the resources allocation, and improved the quality and structure of employment. This paper further discusses whether AI entrepreneurship has a spatial spillover effect on reducing within-region income imbalance. The results show that AI entrepreneurship has a significant spillover effect. It can not only reduce the income disparity in the local area, but also reduce the income disparity in the surrounding areas.
    This paper has several potential contributions. From the perspective of research, this paper explores the economic consequences of developing AI based on entrepreneurship activities, which can more comprehensively analyze and evaluate the economic consequences resulting from the application and penetration of AI. It compensates for the current studies’ excessive focus on the technology itself and insufficient coverage of technology application and industrial distribution, enriching the related research on the application of AI and its economic consequences. From the perspective of research content, this paper starts from the center-periphery structure theory, analyzes the particularity of AI entrepreneurship, discovers that AI entrepreneurship reduces the dependence on urban central areas, and narrows the income imbalance within regions through direct and indirect effects. Thus, this paper analyzes the applicability and new changes of the center-periphery structure theory in the context of the rapid development of digital technology and AI, supplementing related research on technological innovation and income inequality as well as digital divide. 
    To conclude, this paper expands the theories and application of the “core-periphery” in the era of the digital economy, breaks through the core assumptions of the traditional  “core-periphery” theory based on geographical agglomeration and one-way resource flow of the industrial economy era. Also, this article incorporates AI entrepreneurship activities into the analysis framework of common prosperity, which helps deepen the understanding of AI entrepreneurship activities and their economic consequences.
  • 2026, 2(18): 60-85.
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    In the context of profound global economic restructuring and accelerating technological transformation, the interaction between artificial intelligence (AI) and global value chain (GVC) resilience has become a central issue in academic and policy discussions. This paper investigates how AI enhances firms’ ability to withstand, adapt to, and reconstruct from external shocks within the GVC system, emphasizing the asymmetric moderating effects of supply chain stability from both export and import perspectives. Building upon the “absorption-adaptation-creation” analytical framework, we construct a multidimensional index of firm-level GVC resilience and employ matched Chinese customs and industrial enterprise data from 2008 to 2014 to empirically assess the impact of AI on resilience.
    The results demonstrate that AI significantly improves firms’ GVC resilience, a finding that remains robust across various specifications, instrumental variable estimations, and alternative measures of AI adoption. Specifically, AI enhances absorptive immunity by enabling real-time monitoring and predictive analytics that strengthen early warning and risk-buffering capabilities. It improves adaptive recovery through flexible manufacturing and dynamic supply chain reconfiguration, allowing firms to resume production quickly after disruptions. Moreover, AI promotes creative reconstruction by fostering product innovation, demand recognition, and value chain upgrading, thus facilitating long-term resilience through path creation rather than mere restoration.
    However, the effects of AI are not uniform. When incorporating supply chain stability, we find clear asymmetries between the export-demand and import-supply dimensions. On the export side, declining demand-side stability—resulting from trade protectionism, tariff barriers, and declining foreign demand—reduces firms’ profit margins and cost mark-ups. Such conditions limit firms’ financial flexibility and investment in intelligent technologies, thereby weakening AI’s capacity to enhance GVC resilience. Furthermore, lower export stability disrupts the accuracy of AI-based demand forecasting and production scheduling, diminishing supply chain efficiency and eroding the efficiency-driven component of resilience.
    Conversely, declining import stability arising from dependence on critical intermediate goods and high-end technologies amplifies the strategic value of AI in ensuring production continuity. Under increasing import risks, AI enables firms to strengthen their resource reallocation capacity—substituting capital and technology for scarce labor inputs—and to enhance their innovation capability through accelerated product development and knowledge recombination. These adjustments allow firms to transform supply interruptions into opportunities for structural upgrading and process innovation. Therefore, lower import stability, instead of constraining firms, motivates the deeper integration of AI into production systems, amplifying its positive effects on GVC resilience.
    Further analysis shows that China’s influence within global trade networks moderates these relationships. By incorporating China’s outward foreign direct investment stock as a proxy for national influence, we find that a stronger presence in key partner countries dampens the positive moderating effect of lower import stability on the AI-resilience linkage. This suggests that while outward investment can reduce short-term supply risks through coordination channels, it may also increase long-term dependency on key nodes, introducing new systemic stability risks.
    The heterogeneity analysis provides additional insights. The positive effect of AI on GVC resilience is stronger in labor-intensive industries, where technological upgrading potential is higher and transformation costs are lower, compared to capital-intensive sectors characterized by technological path dependence. Firms without prior trade experience benefit more from AI adoption, as intelligent technologies compensate for their lack of external market knowledge and enhance their integration into global production networks. Moreover, the impact of AI on GVC resilience is more pronounced in regions with stronger intellectual property protection, indicating that institutional quality reinforces the innovation-based resilience mechanism by safeguarding firms’ technological returns and encouraging sustained R&D investment.
    This study makes two key contributions. First, it constructs a comprehensive and dynamic measurement framework for GVC resilience, capturing firms’ short-term defense, medium-term recovery, and long-term transformation capabilities through the three dimensions of absorptive immunity, adaptive repair, and creative destruction. This multidimensional design overcomes the limitations of previous single-indicator measures and offers an operational tool for assessing firm-level resilience within the global production system. Second, by integrating supply chain stability into the GVC resilience framework, this study systematically examines how external shocks interact with internal technological capacity. The identified asymmetry between export and import stability risk provides a new understanding of the complex mechanisms through which AI enhances resilience under uncertainty.
    The findings offer important policy implications. Policymakers should leverage AI and digital technologies not only to optimize efficiency but also to enhance robustness and adaptability across supply chains. Strengthening digital infrastructure, promoting AI adoption in manufacturing, and improving the institutional environment for innovation can help Chinese firms transform supply chain risks into strategic opportunities for upgrading. In a world of increasing geopolitical tension and technological decoupling, AI-driven resilience is thus essential for maintaining China’s stable participation and upward mobility in global value chains.
  • 2026, 2(18): 86-106.
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    Since the launch of reform and opening up, China’s economy has achieved rapid growth and made leaps and bounds. However, elevated inventory has emerged as a major problem affecting the competitiveness of micro-level enterprises and constraining the stable operation of the macroeconomy. At present, as China’s economy enters a new normal, the issue of excessive corporate inventory demands urgent resolution. To date, no literature has examined from a macro perspective the impact of market integration—particularly the development of a unified national market—on the adjustment of non-finished goods inventory in China’s manufacturing enterprises. The Fourth Plenary Session of the 20th CPC Central Committee proposed “building a strong domestic market and accelerating the formation of a new development paradigm” while “resolutely removing bottlenecks and obstacles hindering the construction of a unified national market.” Advancing the construction of a unified national market represents a strategic deployment in response to significantly heightened international uncertainties and the urgent need for domestic economic transformation. This initiative aims to dismantle market segmentation and local protectionism, promote the free flow of factors of production, and facilitate corporate resource reallocation—all profoundly influencing firms’ production expectations and operational decisions. Extensive research indicates that the development of a unified national market generates positive and significant economic effects for enterprises. Differing from such literature, this paper expands the study of how a unified national market influences enterprise resource allocation by adopting the novel perspective of inventory adjustment.
    This study examines the impact of China’s long-term institutional reform—the establishment of a unified national market—on inventory adjustment behavior at the microfirm level, using A-share listed companies from 2007 to 2022 as the research sample. Findings reveal that the unified market significantly reduced firms’ non-finished goods inventory levels, with robustness and endogeneity tests confirming this conclusion. Mechanism analysis indicates that the national unified market reduces uncertainty in market operations by lowering commodity circulation costs and supply chain risks, thereby achieving a “de-stocking” effect. Heterogeneity analysis reveals that the “de-stocking” effect is stronger in firms with low non-finished goods inventory ratios and high inventory turnover rates. Economic consequence analysis indicates that the national unified market enhances business efficiency by lowering corporate inventory levels. These findings reveal the micro-level efficacy of the unified market within the context of supply-side structural reform, offering valuable insights for policies aimed at optimizing resource allocation and improving industrial chain and supply chain efficiency. First, with the reduction of distribution costs as the core focus, we will continue to optimize the modern distribution system. Second, with stabilizing the supply chain as a key focus, establish a nationwide risk early warning and coordination mechanism. Third, gradually guide enterprises to enhance their inventory management capabilities and turnover efficiency through differentiated policies.
    This paper systematically evaluates the micro-level effectiveness of the national unified market within the context of supply-side structural reform. Compared with existing literature, its marginal contributions may be reflected in the following three aspects: First, this study systematically examines the impact of national unified market development on corporate inventory adjustment behavior, providing valuable additions to theoretical literature on how macroeconomic policies influence micro-level corporate resource allocation. It expands the research boundaries on how institutional environments affect corporate micro-level decision-making and contributes to studies on the economic effects of the national unified market. Second, this study reveals a key pathway through which the unified national market reduces corporate inventory levels by analyzing uncertainty. This provides empirical evidence from the perspective of inventory adjustment, shedding light on the microfoundations of how the unified market enhances the efficiency of national economic circulation. Third, this study identifies the heterogeneity of the “de-stocking” effect of the unified national market across firms with different inventory management levels. It further discusses how this effect promotes enhanced operational efficiency, providing empirical evidence for policy formulation aimed at optimizing corporate resource allocation and strengthening the resilience and competitiveness of industrial chains and supply chains.
  • 2026, 2(18): 107-125.
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    Against the backdrop of the global spread of the anti-globalization trend and the risks of decoupling and disconnection, expanding high-level opening-up has become a key path for China to smooth the domestic and international dual circulation and achieve sustainable economic development. The trade competitive advantage of enterprises, as the core foundation of international competitiveness, is an important cornerstone for China to achieve high-level opening-up, directly determining the country’s division of labor position and trade control rights in the global value chain. Improving the trade competitive advantage of enterprises and ensuring high-level opening-up, and facilitating high-quality economic development, cannot be achieved without the support of the financial market, especially patient capital that assumes long-term strategic risks and provides fundamental support to the real economy. Short-term capital is unable to meet the needs of enterprises in key areas such as technological research and development, industrial upgrading, and green transformation. Long-term capital can provide stable financial support and strategic synergy, optimize the internal resource allocation of enterprises, enhance core competitiveness, and elevate the position of enterprises in the global value chain. Therefore, cultivating and developing patient capital is of vital importance for enhancing the trade competitive advantage of enterprises.
    Based on the data of A-share listed companies from 2009 to 2023, this paper examines the impact of patient capital on enterprises’ trade competitive advantages from both theoretical and empirical perspectives, as well as the mechanism of its effect. The empirical analysis shows that patient capital has a significant exogenous effect. Through the construction of a long-term collaborative network between the investment entity and the invested enterprise, a stable strategic cooperation system is formed. Continuous resource investment and risk sharing mechanisms reduce the volatility of enterprise operations, and dynamic capital allocation optimization improves the efficiency of factor utilization, thereby effectively empowering enterprises’ trade competitive advantages. The mechanism analysis indicates that patient capital mainly enhances enterprises’ trade competitive advantages through three paths: global innovation network effect, R&D innovation effect, and value chain upgrading effect. Heterogeneity analysis shows that the role of patient capital investment in enhancing enterprises’ trade competitive advantages is particularly prominent in non-state-owned enterprises, labor-intensive enterprises, non-high-tech enterprises, and enterprises with better financial development levels. This is because patient capital can broaden stable financing channels for these enterprises, create long-term investment opportunities, help them break through resource constraints and transformation bottlenecks, and guide enterprises to focus on core business development and international market layout, thereby significantly amplifying the enhancement effect of trade competitive advantages.
    Based on the research conclusions, the following countermeasures and suggestions are proposed. First, cultivate and expand patient capital to help enhance the trade competitive advantage of enterprises. In response to the insufficient supply of patient capital in China, on the one hand, broaden the channels for social security and pension funds to enter the market, optimize the assessment mechanism, offer tax breaks for angel investment and national guiding funds, and encourage the supply of long-term capital. On the other hand, enhance investors’ financial literacy, correct short-term speculative psychology, and leverage the exemplary role of financial institutions to foster a long-term investment mindset and establish a virtuous cycle mechanism. Second, leverage the three major effects to promote the enhancement of enterprises’ trade competitive advantage. By taking advantage of the global innovation network effect, encourage enterprises to expand overseas business, provide policy guidance and tax incentives, and deepen the coordination of technology and markets at home and abroad; relying on the R&D and innovation effect, obtain external knowledge through overseas liaison institutions, optimize internal resource allocation, and improve the quality of innovation; relying on the effect of value chain upgrading, guide enterprises to accurately position themselves in the global value chain, take R&D and innovation as the core, and promote products to move towards high-value-added links. Third, formulate differentiated policies to achieve precise regulation. In light of the heterogeneity of the empowerment of patient capital, prioritize the allocation of patient capital to private enterprises to stimulate their vitality; provide tax and R&D subsidies to labor-intensive and non-high-tech enterprises; strengthen supervision in regions with better financial development to create a low-risk environment; and at the same time, optimize the assessment of state-owned enterprises and support technological breakthroughs to meet the needs of different property rights, industries, and levels of financial development.
  • 2026, 2(18): 126-150.
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    Regional development imbalance is a key challenge in China’s economic and social transformation, and administrative boundary areas have long faced constraints to regional integration due to institutional factors such as differentiated supervision and fiscal management systems. The Beijing-Tianjin-Hebei (BTH) Coordinated Development Strategy, officially launched with the approval of the Beijing-Tianjin-Hebei Coordinated Development Plan Outline in April 2015, is a national initiative aimed at optimizing core city functions, strengthening regional radiation capacity, and promoting balanced and high-quality development. Exploring the impact of this strategy on the land market of Beijing’s administrative boundary counties is of great practical significance: it not only verifies the effectiveness of the strategy in promoting regional coordination but also provides empirical references for optimizing land factor allocation and advancing integration in other urban agglomerations such as the Yangtze River Delta and the Guangdong-Hong Kong-Macao Greater Bay Area.
    The core theme of this study is to examine how the BTH Coordinated Development Strategy affects land prices in the administrative boundary counties of Beijing (the core city) and to reveal the underlying mechanisms and heterogeneous effects of the policy. The research adopts a quasi-natural experiment framework, treating the approval of the Plan Outline as an exogenous policy shock. The analytical approach follows three key steps: first, using a Difference-in-Differences (DID) model to identify the net effect of the strategy on land prices, with boundary counties adjacent to Beijing as the treatment group and other BTH counties as the control group; second, conducting mechanism tests to explore the roles of industrial development, population agglomeration, and public resource allocation (infrastructure); third, analyzing heterogeneity based on administrative level, transportation accessibility, and economic foundation.
    Methodologically, the study primarily employs the DID model to address endogeneity issues, supplemented by robustness tests including Propensity Score Matching-DID (PSM-DID) to mitigate sample selection bias, event study to verify the parallel trend assumption, and placebo tests to rule out random effects. Heterogeneity analysis is conducted by grouping samples according to administrative level (county-level cities vs. ordinary counties), transportation accessibility (with/without railway stations), and economic foundation (high/low GDP).
    Data sources include: ⅰ. 2007-2022 land transaction data from China Land Market Network, covering residential, commercial, and industrial land, aggregated to the county-year level to calculate unit land prices; ⅱ. Landscan 1km resolution population grid data to measure population agglomeration, ensuring spatial accuracy; ⅲ. enterprise registration data from Qichacha to assess industrial scale and structure; ⅳ. POI data to measure infrastructure scale (e.g., transportation facilities); ⅴ. socioeconomic data from the China County Statistical Yearbook and local statistical bulletins, including GDP, fiscal revenue, and public service indicators. All continuous variables are winsorized at the 1% and 99% levels to reduce the impact of outliers.
    Key findings are as follows: ⅰ. The BTH strategy significantly promotes the rational appreciation of land prices in Beijing’s administrative boundary counties, with an average premium of 36.7%; industrial land exhibits the most prominent value-added effect (46.4%), followed by commercial land (44.8%) and residential land (33.4%), reflecting the effective implementation of regional industrial collaboration and spatial optimization. ⅱ. Core driving mechanisms are industrial structure optimization (promoting a shift to the service sector) and infrastructure improvement (increasing transportation investment), while the population agglomeration effect is not yet statistically significant—attributed to the policy-guided population concentration in key areas such as Xiongan New Area and the ongoing improvement of public services in boundary counties. ⅲ. Heterogeneous effects are evident: county-level cities, counties with railway stations, and high-GDP counties demonstrate stronger responses to the policy, with coefficients 2.7, 4.3, and 3.1 times higher than their counterparts, respectively.
    Policy recommendations include: ⅰ. Consolidate and expand the collaborative achievements in boundary areas by deepening industrial synergy and infrastructure interconnection, and building boundary zones into demonstration platforms for high-quality regional integration. ⅱ. Optimize the guarantee mechanism for cross-regional factor mobility: improve public services through joint school-running and hospital-cooperation to enhance population attractiveness, and simplify approval processes for industrial land to promote industrial scale expansion. ⅲ. Implement differentiated and targeted regional policies: leverage the advantages of county-level cities to gather high-end factors, strengthen transportation infrastructure in counties without railway stations, and support low-GDP counties through paired assistance and fiscal transfer payments.
    This study makes four main contributions: ⅰ. It breaks the limitation of existing land price research focusing on urban core areas, filling the gap in studying land premium mechanisms at administrative boundaries—a “frontier of institutional-market interaction.” ⅱ. It clarifies the core transmission paths (industrial structure optimization and infrastructure improvement) of the strategy’s impact on land prices, distinguishing it from studies that only examine overall policy effects. ⅲ. It quantifies the land premium effect brought by regional coordinated development, providing quantitative evidence for understanding the strategic value of administrative boundaries. ⅳ. It details the heterogeneous regulatory effects of institutional (administrative level), geographical (transportation accessibility), and economic (economic foundation) factors, offering targeted insights for land management in boundary areas.
  • 2026, 2(18): 151-175.
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    Under the dual pressures of widening fiscal revenue-expenditure gaps and accumulating debt risks, how to enhance local fiscal sustainability has become a core issue in fiscal governance. Many studies have explored the determinants of fiscal sustainability from the perspectives of public debt dynamics, demographic structure, or intergovernmental transfer systems. However, the role of budgetary institution reform in shaping fiscal sustainability remains insufficiently examined. Zero-based budgeting (ZBB), as an institutional innovation designed to break expenditure rigidity and optimize fiscal resource allocation, represents a fundamental shift from the traditional incremental budgeting logic. In view of this, using panel data from 31 Chinese provinces over the period 2007 to 2023, this study employs a staggered difference-in-differences model to systematically examine the impact of ZBB reform on local fiscal sustainability, aiming to provide empirical evidence for deepening budgetary management reform and mitigating local fiscal risks.
    First of all, this paper establishes the theoretical framework linking ZBB reform to local fiscal sustainability. Traditional incremental budgeting relies on historical expenditure as the base and applies fixed growth rates, encouraging budget-maximizing behavior among government departments. Expenditure allocations consequently become rigid and path-dependent, weakening the government’s capacity to respond to fiscal risks. ZBB reform addresses these institutional deficiencies by requiring all expenditure items to be justified from a zero base, establishing priority ranking and competitive resource allocation mechanisms. Drawing on public choice theory and budgetary incrementalism, three hypotheses are proposed. First, ZBB reform significantly enhances local fiscal sustainability. Second, ZBB reform improves fiscal sustainability by raising expenditure efficiency. Third, ZBB reform improves fiscal sustainability by optimizing expenditure structure, particularly through reducing the share of administrative costs.
    Secondly, this paper constructs a staggered difference-in-differences model exploiting the cross-provincial variation in reform timing. Since 2021, provinces such as Anhui, Guangxi, Hunan, and Gansu have successively launched ZBB reform initiatives, with significant variation in implementation timing that provides an ideal quasi-natural experiment setting for causal identification. The dependent variable, local fiscal sustainability, is measured by a composite index encompassing three dimensions: economic development sustainability, fiscal operation soundness, and fiscal risk controllability. This multidimensional measurement framework is consistent with the analytical paradigm advocated by the International Monetary Fund for fiscal sustainability assessment. The index is constructed using the entropy weight method to ensure objectivity. Eleven provinces are identified as the treatment group based on official policy documents and government reports. The model controls for fiscal decentralization, government size, urbanization, trade openness, financial development, population density, and fixed asset investment intensity, with province and year fixed effects included.
    Thirdly, this paper reports the empirical results and a series of robustness checks. Baseline regression results show that ZBB reform significantly improves local fiscal sustainability, with a coefficient of 0.042 significant at the 1% level, representing an 11.9% increase relative to the sample mean. The parallel trends assumption is validated through an event study approach, and placebo tests with 1,000 randomized iterations confirm that the estimated effect is not driven by random factors. Robustness checks include instrumental variable estimation, PSM-DID with multiple matching methods, heterogeneity-robust estimators proposed by Callaway and Sant’Anna (2021) and Sun and Abraham (2021), and controls for concurrent policy shocks, all yielding results consistent with the baseline findings. Mechanism analysis confirms both transmission channels: ZBB reform significantly raises fiscal expenditure efficiency as measured by DEA-BCC model estimates and significantly reduces the share of administrative costs in total expenditure.
    Finally, this paper further conducts heterogeneity analysis and extended analysis. Heterogeneity analysis reveals that the reform effects are substantially larger in regions with stronger governance capacity and where local decision-makers possess finance-related professional backgrounds. This finding underscores the nature of ZBB reform as an institution-intensive reform whose effectiveness depends on governance foundations and professional execution capacity. Extended analysis demonstrates that improved fiscal sustainability generates meaningful economic and social spillover effects, including raising residents’ per capita disposable income, narrowing the urban-rural income gap, and promoting the growth of both private investment and foreign direct investment by stabilizing market expectations and improving the regional business environment.
    This study provides new empirical evidence for understanding the fiscal effects of budgetary institution reform, and offers several policy implications. First, ZBB reform should be accelerated nationwide with gradual extension from provincial to county levels. Second, a performance-oriented project review and dynamic adjustment mechanism should be established to consolidate the efficiency gains from reform. Third, government governance capacity and professional talent development should be strengthened to support high-quality reform implementation. Fourth, the economic and social spillover effects of improved fiscal sustainability should be leveraged by channeling freed fiscal resources toward public services and by enhancing fiscal transparency to strengthen market confidence.
  • 2026, 2(18): 176-210.
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    The Fourth Plenary Session of the 20th Central Committee of the Communist Party of China (CPC) emphasizes the imperative to “consolidate and strengthen the foundations of the real economy, and keep the focus of economic development on the real economy,” and further calls for efforts to “advance the building of a manufacturing powerhouse along intelligent, green, and integrated pathways, maintain a reasonable share of manufacturing, and develop a modern industrial system with advanced manufacturing as its backbone.” At the micro level, firms’ real investment is shaped not only by demand fluctuations and profit expectations but also crucially by financing conditions and cash-flow constraints. Manufacturing upgrading typically requires equipment renewal, process improvement, and technology adoption that are capital intensive, long-horizon, and slow to pay off. When liquidity constraints become binding, firms are more likely to postpone or scale down capital expenditures, or to tilt their portfolios toward short-term and low-risk uses of funds, generating distortions in investment structure. Accordingly, a systematic assessment of whether and how institutional policies can improve firms’ financing conditions and financing capacity to redirect capital toward real investment is important for understanding investment dynamics and structural adjustment, and for informing the design of policy toolkits aimed at strengthening the real economy with micro-founded evidence. From a policy perspective, since 2018 China has rolled out a sequence of tax and fee reductions intended to lower firms’ burdens and costs, stimulate demand-side momentum, and enhance supply-side vitality. Within this policy package, VAT credit refunds constitute a prominent institutional arrangement that directly improves corporate cash-flow positions. Under the relevant rules, tax authorities may refund firms’ excess accumulated input VAT credits in advance, rather than requiring firms to wait until future output VAT liabilities arise to offset those credits. For eligible firms, the policy effectively releases funds previously tied up within the VAT chain, representing a sizable and salient concession. For real-sector firms with high shares of fixed-asset and intermediate-input spending, VAT credit refunds may therefore influence investment decisions and investment structure by changing the degree of liquidity lock-up and firms’ financing behavior, potentially promoting real investment. At the same time, however, the released liquidity could be diverted into financial asset holdings, short-term wealth-management products, or other non-productive uses. This concern is particularly salient amid China’s ongoing growth-model transition and deepening reforms, as pressures on the real economy have intensified while financial instruments and related products have proliferated, drawing attention to corporate financialization (the “shift from real to virtual”). Weak and slowing real investment undermines allocative efficiency and productivity growth and is unfavorable to structural upgrading, while excessive expansion of financial capital may crowd out real investment and heighten bubble risks. This raises a sharper, policy-relevant question: do VAT credit refunds steer capital toward real-sector investment, or—under certain conditions—do they end up reinforcing a “from real to virtual” allocation pattern?
    To address this question, this paper leverages the 2018 expansion of VAT credit refunds across industries as a quasi-natural experiment. Using a sample of A-share listed firms over 2010-2021, we employ a difference-in-differences framework to evaluate the effects of VAT credit refunds on both the level and the structure of corporate investment from a financing perspective. The results indicate that the policy significantly increases firm investment; more importantly, the incremental investment is primarily driven by real (productive) investment, implying a structural shift toward the real sector and a corrective force against “from real to virtual” tendencies. Mechanism analyses suggest that improved financing capacity is the primary transmission channel. Specifically, VAT credit refunds strengthen internal financing by improving operating cash flows and reducing working-capital lock-up and cost pressure in input purchases; they also strengthen external financing by easing financing constraints and mitigating information asymmetry, thereby improving credit assessment and financing availability and enhancing firms’ debt-financing capacity. Heterogeneity analyses further show that the financing incentive is stronger for large firms, while non-state-owned firms exhibit a more pronounced response in both investment expansion and investment-structure upgrading. These findings provide micro-level evidence consistent with the policy objective that VAT credit refunds can stabilize firms, relieve pressures, facilitate capital renewal, and support upgrading of the real economy.
    This paper makes three contributions. First, it provides quasi-experimental evidence on how China’s VAT input credit refund program affects corporate investment with an explicit focus on real (productive) investment and the composition of investment, thereby speaking directly to the policy objective of strengthening the real economy. Second, we open the black box of transmission by documenting a financing-channel mechanism: VAT credit refunds ease liquidity lock-up and improve internal funding capacity, and they also mitigate financing constraints and information frictions, enhancing access to external debt finance. Third, by linking a major tax-policy instrument to firms’ investment allocation and financialization tendencies, our findings offer policy-relevant insights on how tax administration and financial intermediation can jointly steer resources toward technology upgrading and capital formation in the real sector.
    Based on the analysis in this article, the following policy recommendations are proposed. First, refine VAT credit refund design and implementation to strengthen timely, predictable liquidity support for the real sector by streamlining verification and shortening processing time, with more targeted, compliant fast-track arrangements for high-tech manufacturing, strategic emerging industries, and upgrading projects in traditional industries. Second, enhance the financial system’s responsiveness to tax-policy signals to unblock the “refund-financing-investment” channel by incorporating refund receipt/stability into credit assessment and risk pricing, leveraging tax data to reduce information frictions, and directing more medium- and long-term credit—via guarantees, risk-sharing, and relending tools—toward manufacturing, technological renovation, and equipment upgrading, especially for SMEs. Third, build a tax-finance coordination framework with an explicit real-investment orientation to deter diversion into short-term financial placements by strengthening disclosure and linking incentives/support to verifiable real-investment outcomes (e.g., equipment upgrading, R&D, green and digital transformation) through a closed loop of ex ante guidance, in-process monitoring, and ex post evaluation.
  • 2026, 2(18): 211-230.
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    As China’s level of domestic economic development rises and its participation in global economic governance deepens, an open-economy model that relies primarily on the cross-border movement of goods and production factors has become increasingly inadequate to meet the requirements of a high-standard open economic system. Promoting a transition from factor- and goods-based opening toward institutional opening has thus emerged as an inevitable strategic choice for China in responding to changes in both domestic and international environments and in cultivating new sources of international competitiveness. Within this context, the reform and diffusion of the negative list regime for foreign investment access provide a valuable policy setting for examining the microeconomic effects of institutional opening.
    At the same time, capacity utilization, an important indicator of resource allocation efficiency and overall macroeconomic performance, plays a critical role in achieving high-quality development. Against the backdrop of persistent excess capacity in several Chinese industries, both supply-side structural reform and the “dual circulation” development strategy emphasize improving capacity utilization by optimizing the supply structure and enhancing the efficiency of supply-demand matching. Accordingly, using the foreign investment negative list regime as an entry point to investigate the impact of institutional opening on firms’ capacity utilization not only offers empirical evidence on how institutionalized negative list management can help alleviate excess capacity and promote high-quality development, but also provides valuable insights for other developing economies seeking to advance institutional opening.
    Based on China’s experience with institutional opening through the foreign investment negative list regime, this study employs data on A-share listed manufacturing firms from 2008 to 2022 and adopts a staggered difference-in-differences design to systematically examine the impact of institutional opening on firm-level capacity utilization and the underlying mechanisms. The results indicate that institutional opening significantly increases capacity utilization among manufacturing firms. This effect operates primarily through accelerated foreign capital agglomeration and intensified competition, strengthened incentives for technological innovation, and improved allocation of capital factors. Heterogeneity analyses further reveal that the positive effect of institutional opening on capacity utilization is more pronounced among firms with higher levels of digitalization, firms operating in less competitive industries, small and medium-sized enterprises, firms facing lower financing constraints, and privately owned firms.
    This paper makes three main contributions. First, it investigates the relationship between institutional opening and firm-level capacity utilization from the perspective of reforms to the foreign investment negative list regime, thereby extending the scope of research on institutional opening. Existing studies have largely focused on the effects of institutional opening on market vitality (Xie and Li 2025), labor income shares (Huang et al. 2023), wage dispersion (Kao and Xie 2024), and technological innovation (Liu et al. 2025), while offering limited and unsystematic discussion of how institutional opening advances supply-side structural reform to alleviate capacity underutilization. By using the rule-based changes embedded in the negative list management regime, a representative form of institutional opening, as the analytical entry point, this paper provides micro-level evidence on how high-standard opening contributes to high-quality development and offers a new perspective on how opening and reform jointly address the problem of excess capacity. Second, the paper systematically uncovers the multiple mechanisms through which institutional opening enhances firms’ capacity utilization. Specifically, it develops an integrated framework that examines three distinct yet interrelated channels: foreign capital agglomeration and competitive effects, firms’ incentives for technological innovation, and the optimization of capital allocation. This framework highlights the systemic and deep-seated nature of institutional opening and offers clear theoretical guidance for policymakers seeking to maximize the gains from opening through coordinated, multi-dimensional reforms. Third, the paper conducts a comprehensive analysis of heterogeneity in the effects of institutional opening on firm-level capacity utilization. By examining differences across firms’ digitalization levels, industry competition intensity, financing constraints, firm size, and ownership structure, the study reveals the context-dependent nature of institutional opening and identifies the critical moderating roles of internal firm capabilities and the external institutional environment. This multi-dimensional and dynamic heterogeneity analysis provides robust empirical evidence on the differentiated impacts of institutional opening across varying market structures and firm characteristics.
    The findings offer important policy implications for alleviating excess capacity and promoting high-quality development through deeper free trade zone reforms and a strengthened negative-list-based foreign investment regime. Given its positive effect on firms’ capacity utilization, further streamlining of the negative list, especially in relatively restricted sectors such as services, should remain a reform priority. Enhancing policy stability, transparency, and predictability through stronger legal protections, property rights enforcement, and competitive neutrality can reduce transaction costs and redirect resources toward efficiency and innovation. Policy efforts should also reinforce key channels of institutional opening by promoting foreign capital agglomeration, strengthening innovation incentives and intellectual property protection, and improving capital allocation efficiency through corporate governance and financial reforms. Finally, heterogeneous effects call for differentiated policy guidance to ensure broader and more efficient sharing of opening gains.