The low-altitude economy (LAE) refers to economic activities conducted within airspace below 1,000 meters. Drawing on related theories on socio-technical transitions, LAE can be understood as a future regime challenging the dominant urban mobility paradigm. As an emerging field, it has yet to be systematically examined through an empirical study, especially about local response. In this paper, we construct an Integrated Local Support Index (ILSI) based on the number of relevant local policies and the level of public interest measured by the Baidu search index. Private sector readiness is measured by the LAE Development Scale (DS) based on the registered capital of relevant enterprises locally. Focusing on the top 50 cities in China’s LAE sector, we conduct a comprehensive empirical study to explore the relationships between DS, ILSI, and other natural and socio-economic factors between 2012 and 2023. The dynamic interactions of key stakeholders (local government, foreign capital, and talents) are analysed by game theory. The findings suggest that the ILSI, education level, and foreign investment have significant positive impacts. Wind speed is identified as a negative factor for LAE development. The game theory analysis further reveals that the three positive factors tend to foster efficient and stable growth when working synergistically. This implies that enhancing local government support could trigger chain reactions that attract more investment and talents, thereby accelerating LAE development. Projecting to the future, local LAE DS in 2026 is predicted via a panel time-series model with random effects. This study provides both empirical evidence and governance strategies for decision-makers navigating the socio-technical transition of the LAE.

Financial crises rarely erupt without warning; they are preceded by long periods of hidden fragility. Yet traditional market indicators such as the VIX capture only realized volatility, offering little foresight. This paper introduces the Stability Gap Model (SGM), developed iteratively from a simple intuition: fragility arises when risk-taking diverges from fundamentals and systemic buffers are insufficient. We trace the evolution of the model from its original formulation, through corrections and extensions, to its present form. The Classic SGM captures instantaneous imbalance, while the Beta SGM incorporates memory of past shocks. Empirical analysis demonstrates that the SGM provided clear early warnings ahead of the 2008 Global Financial Crisis, the 2011 Eurozone debt episode, the 2015 China/oil slowdown, and the 2018 tightening cycle, while also trending upward in 2019 before the COVID-19 crash. Furthermore, the paper demonstrates the model's utility in assessing fragility in hedge funds and proposes its application as a universal framework for stability analysis across diverse systems, from corporate finance to supply chains.

How do market-design reforms affect secondary-market liquidity in an emerging equity market? We examine China’s ChiNext reform, which combined registration-based IPO issuance with changes in secondary-market trading rules. Using firm-month observations and high-frequency order-book data, we compare incumbent ChiNext firms with Main Board firms in a difference-in-differences framework. The results show that the reform significantly improves secondary-market liquidity, with consistent evidence across alternative DID estimators and liquidity measures. Dynamic estimates show comparable pre-reform movements and increasingly favorable liquidity outcomes after implementation. Cross-sectional analysis indicates stronger liquidity improvements among larger and more profitable firms. Microstructure results show narrower quoted spreads, broadly stable displayed depth, and a shift in order flow toward buyer-initiated trading. Overall, the findings demonstrate that the integrated ChiNext reform package improved secondary-market liquidity and reshaped the cross-sectional distribution of liquidity gains, highlighting the market-quality consequences of institutional reform in emerging equity markets.

Why do fertility subsidies consistently fail in China? Why do consumptionand fertility collapse globally despite intact household book wealth? This paper proposes the Family Long Cycle Hypothesis (FLCH), extending thedecision-making unit of the life cycle hypothesis from an individual to an intergenerational family network, and expanding the budget constraint from a singlelifetime resource constraint to a dual constraint of “total resources + liquiditystructure”. The core mechanism is: intergenerational “blood-transfusion” homepurchase locks in network liquidity without changing household net assets, completing a balance sheet morph of “book wealth unharmed, decision-making paralyzed” at the moment of purchase. This liquidity depletion spikes effective riskaversion, forming a multiplier effect with income uncertainty, causing fertility—the irreversible commitment with the longest duration—to enter the corner solution region first. Within this region, the elasticity of fertility decisions to costsubsidies is strictly zero, but they remain highly sensitive to liquidity repairand uncertainty reduction. Consequently, this paper proves the fundamentalmechanism difference between consumption subsidies (cash rewards, childcarefee waivers) and capital transfers (mortgage principal write-down, unconditionalcash transfers), and proposes three effective policy directions: reducing incomeuncertainty, repairing family liquidity, and raising the reference income of thebottom 90% of the population. The model nests the standard life cycle hypothesis as a special case and is distinguishable from the competitive saving hypothesis on six pairs of opposing predictions. The theory also explains theasymmetric “fast-falling, slow-rising” adjustment of housing prices: the drop isdriven by defensive behavior (business cycle scale), while the recovery is constrained by intergenerational liquidity reconstruction (intergenerational scale of10–20 years).

Digitalization is widely promoted as a means to enhance faculty development, yet in resource-constrained regions like Northwest China, structural inequalities persist. This qualitative case study examines how national policy, institutional capacity, and faculty agency interact to shape digital support in higher education. Drawing on institutional records and interviews with faculty from two universities, the study reveals stark disparities in funding, infrastructure, and training strategies. Research-intensive institutions benefit from policy-backed resources and expert-led programs, while regional universities rely on low-cost lectures and collaborations. Faculty report limited autonomy, disciplinary biases, and insufficient support for emerging technologies such as artificial intelligence. In this regional context, these findings challenge assumptions of resource neutrality and technological determinism in digital education policy. The study proposes a governance-oriented framework that emphasizes institutional responsibility, faculty empowerment, and context-sensitive digital strategies. It offers insights for policymakers and institutions seeking to advance equitable and sustainable faculty development in digitally transforming higher education systems.

This paper studies how dividing candidates in a tournament into separate tracks with differentiated performance criteria affects incentives and aggregate outcomes. We exploit China’s Major Function Oriented Zoning plan, which assigns counties to devel-opment or conservation tracks, with the latter de-emphasizing growth indicators. Using a staggered Difference-in-Differences design, we find that prefectures introducing a con-servation track achieved higher aggregate economic performance despite relaxing growth-based evaluation for part of their subordinate counties. To explain this counterintuitive ef-fect, we develop a stylized Tullock contest model that highlights two institutional features: promotion opportunities remain open to officials in both tracks, and counties within the same prefecture continue to interact across tracks. The model further predicts an inverted U-shaped relationship between the size of the conservation track and overall performance, which is supported by empirical evidence.

This paper quantifies the impact of rural–urban migration on agricultural fires, a major source of air pollution in China. Using satellite records and census data, we exploit an exogenous trade shock that raised manufacturing labor demand in destination prefec-tures, drawing workers from origin counties through established migration networks. A one-percentage-point increase in rural labor emigration in 2010 led to a 5% rise in agricultural fires from 2011 to 2017. The effect stems from reduced agricultural labor, which incentivizes fire use as a labor-saving clearing method. Consistent with this mech-anism, we find no effect from non-agricultural emigration or from migration to nearby areas where return farming remains feasible, with the strongest impact during harvest seasons. Institutional reforms, particularly land titling programs, significantly mitigate the problem by enhancing tenure security, enabling farmland reallocation, and reducing reliance on fire—proving more effective than nationwide administrative bans.

Community-based natural resource governance is often promoted in the name of sustainability, yet long-term outcomes remain elusive. This study examines the impact of various types of trust as the underpinning factor for the long-term resilience of collaborative resource governance. Using a four-type trust framework, dispositional, affinitive, rational, and procedural, the study compares trust trajectories across the prior to-, during-, and post-project phases of matsutake mushroom management in two communities within the S National Protected Area, Yunnan Province, China. Drawing on qualitative interviews and comparative case analysis, the study finds that while neither community sustained co-management mechanisms in full, X Village retained partial continuity through embedded procedural and rational trust. In contrast, Y village experienced accelerated institutional decline after project withdrawal, as market changes and weak enforcement undermined collective norms and trust in formal structures. These findings underscore that institutional resilience is shaped not only by institutional design but also by the evolution and interaction of trust types over time. By tracing trust trajectories across project stages, this study contributes a micro-level explanation of how trust mediates post-project governance outcomes. It emphasizes the importance of layering trust and embedding it within local social and institutional practices. The findings highlight the need to consider how co-management strategies can support trust continuity after project withdrawal, particularly by acknowledging the underlying structural conditions that shape trust resilience.

Farmland transfer in developing countries is characterized by informal contracts. Rich research typically attributes this phenomenon to the lack of property rights and rarely emphasizes the influence of land characteristics themselves. Utilizing plot-level data from 2017-2019 collected in Yangshan County, China, we evaluate the impact of land consolidation on the farmland transfer market transformation. We find that land consolidation has a positive impact on the transformation of farmland transfer markets, instead of its scale expansion. After land consolidation, the scope of transaction partners extends from relationship-based households to anonymous new agricultural operating entities; the transfer rent shifts from being free of charge to being paid; and the transfer duration shifts from short-term to long-term. Mechanism analysis reveals that land consolidation increases land value and reduces transaction costs by improving the endowment of farmland resources, thus driving the farmland transfer market transformation. Further exploration warns that market transformation caused by land consolidation may trigger non-grain farming, leading to a 15.2% reduction in the rice planting area and posing potential risks to food security. These findings enrich the existing studies that only focus on the impact of land rights reform, both theoretically and empirically. In practice, it has important policy implications for countries facing similar difficulties in the farmland transfer market as China.

High-quality development of water conservancy (HDWC) is of critical value for safeguarding the stability of production systems, livelihoods, and ecosystems. As the digital revolution intersects with China’s “dual carbon” targets, development of water conservancy must transition from traditional engineering approaches to data-driven ecological models. Drawing on institutional logic theory and employing dynamic qualitative comparative analysis across 30 Chinese provinces, this study examines how digital ecology facilitates the HDWC. The findings reveal that none of digital government, digital infrastructure, digital economy, digital capability, or digital society constitutes a necessary condition for the HDWC. Instead, it is the result of the combined effects of multiple institutional logics. Five configurations leading to HDWC are identified and categorized into four types: government-market-driven model, government-market-society-driven model, market-society-driven model, and government-society-driven model. The consistency of the configurations significantly increased during the study period. Furthermore, their distribution showed substantial regional differences. There are two configurations that inhibit the HDWC, namely the government-market-absence type and the market-society-absence type. Digital society emerges as a critical factor. This research uncovers multiple pathways through which digital ecology can empower HDWC, providing valuable insights for optimizing regional digital environments.