在人口老龄化加剧与劳动力跨区域流动常态化的双重背景下，城镇职工养老保险基金的区域失衡问题日益凸显。本文以2011-2023年我国京津冀与长三角的7个省级行政区的面板数据为研究样本，聚焦劳动力流动对城镇职工养老保险基金抚养比（DR）的影响机制，通过构建双向固定效应模型、滞后变量模型及交互项模型，系统检验劳动力流动的直接效应、区域异质性及全国统筹政策的调节效应。研究发现：劳动力流动和全国统筹政策对DR均存在显著正向影响；区域异质性表现为长三角地区劳动力流动对DR的影响显著强于京津冀地区。文章结论为优化养老保险基金区域调剂机制、制定差异化劳动力流动与社保政策提供实证支撑。

本文利用2006至2015年期间A股IPO申购资金冻结政策，研究周期性流动性紧缩对货币市场和债券市场的影响。我们发现，IPO申购资金冻结显著推高主要货币市场利率：银行间隔夜回购利率、交易所隔夜回购利率和隔夜Shibor平均分别上升12.4、38.3和11.6个基点，且利率上升幅度与IPO资金冻结规模呈显著正相关关系。IPO资金冻结同时造成货币市场交易量和交易结构出现显著变化。此外，IPO资金冻结还推高部分债券市场利率，引发企业、金融机构甚至政府为应对流动性紧张而改变债券发行计划，各类信用债乃至国债在IPO资金冻结期间的日均发行量普遍下降20%至30%。最后，我们发现虽然央行会在IPO资金冻结期间通过逆回购向金融市场注入流动性，然而并不足以抵消IPO资金冻结造成的冲击。本文揭示了流动性冲击的跨市场溢出效应，强调了金融政策跨市场协调在防范系统性金融风险方面的重要性。

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本文以某大型销售平台推出旨在引导个人投资者科学投资的优选基金服务为场景，探讨数字时代的投顾服务对基金价值创造的影响。研究发现，优选服务推出后，优选基金的资金净流入显著增加，平均每季度较配对基金高11.3%。然而，优选基金的价值创造却显著下降，以Jensen Alpha度量的超额收益平均每季度较配对基金低1.2%，考虑管理规模后的价值增量低4339万。而且，服务推出半年内，资金净流入越多的优选基金，业绩下降幅度越大。进一步地，本文从基金经理调仓能力、管理积极性、交易冲击成本三个维度探讨了优选基金业绩下降的机制表现。本文的研究表明，在数字时代的海量用户情境下，投顾服务易产生网络负外部性，导致其投资策略出现非预期的收益衰减。这一发现对探索投顾服务数字化的规律具有重要启示。

The 16th annual China International Conference on Insurance and Risk Management (CICIRM 2026) will be held on July 8-11, 2026 at the Yunnan Lianyun Hotel in Kunming, Yunnan, China. The conference is organized by the China Center for Insurance and Risk Management, School of Economics and Management, Tsinghua University, and co-organized by the School of Finance, Yunnan University of Finance and Economics.

China faces significant environmental challenges, including reducing pollutants, improving environmental quality, and peaking carbon emissions. Industrial restructuring is key to achieving both emission reductions and economic transformation. This study uses the Environmentally Extended Multi-Regional Input-Output model and multi-objective optimization to analyze pathways for China’s industrial transformation to synergistically reduce emissions. Our findings indicate that under a compromise scenario, China’s carbon emissions could stabilize at around 10.9 billion tonnes by 2030, with energy consumption controlled at approximately 5 billion tonnes. The Papermaking sector in Guangdong and the Chemicals sector in Shandong are expected to flourish, while the Coal Mining sector in Shanxi and the Communication Equipment sector in Jiangsu will see reductions. The synergy strength between carbon emission reduction and energy conservation is highest at 11%, followed by a 7% synergy between carbon emission and nitrogen oxide reduction. However, significant trade-offs are observed between carbon emission reduction and chemical oxygen demand, and ammonia nitrogen reduction targets at -9%. This comprehensive analysis at regional and sectoral levels provides valuable insights for advancing China’s carbon reduction and pollution control goals.

This paper examines the impact of low-cost carriers (LCCs) on the pricing strategies of full-service carriers (FSCs) in the Chinese airline market. We first analyze the effect of LCC presence and find that LCCs exert significant downward pressure on FSC fares, with the magnitude of this impact varying across carriers and routes. Next, we explore the dynamic responses of incumbent FSCs to the entry and the threat of entry by LCCs. Our findings reveal that FSCs begin lowering fares well in advance of LCC entry, with fare reductions of approximately 11%–18% occurring as early as the 8th quarter before entry. The fare reductions intensify as the entry date approaches and persist beyond it. On the other hand, FSCs do not seem to respond to LCC entry threats. Our analysis highlights the importance of considering the dynamic pricing responses of FSCs rather than relying solely on LCC presence which is commonly used in the literature studying Chinese LCCs.

The corporate maturity mismatch is highly likely to trigger systemic financial risks, which is a realistic issue commonly faced by businesses. In the context of the intelligent era, the impact of artificial intelligence on maturity mismatch has emerged as a focal point of academic inquiry. Leveraging data from Chinese A-share companies over the 2011–2023 timeframe, this research employs a double machine learning approach to systematically examine the influence and underlying mechanisms of artificial intelligence on maturity mismatch. The findings reveal that artificial intelligence significantly exacerbates maturity mismatch. However, this effect is notably mitigated by government subsidies, media attention, and collectivist cultural. Further analysis indicates that in high-climate-risk scenarios, collectivist culture exerts a notably strong moderating influence. By contrast, government subsidies and media attention exhibit stronger moderating influences in low-climate-risk environments. This study constructs a multi-stakeholder collaborative governance framework, which helps to reveal the 'black box' between artificial intelligence and maturity mismatch, thereby offering a theoretical basis for monitoring maturity mismatch.

In this study, we investigate the impact of the development of the digital economy on corporate innovation and value using data of listed firms in China spanning the years 2011 to 2018. Our findings reveal a positive correlation between the development of the digital economy and corporate innovative activities, with a more pronounced effect observed in growth-stage firms, labor-intensive enterprises, and companies situated in underdeveloped regions. To establish a causal relationship, we employ a quasi-experimental approach utilizing the "Broadband China" pilot program. Using a difference-in-difference framework, we establish a causal link between the advancement of the digital economy and the increased innovative activities. Furthermore, our research underscores that digital economy development enhances firm value by promoting innovative activities. These results support the view that the digital economy plays a pivotal role in increasing firm value and fostering sustainable development in the overall economy.

Fintech has significantly influenced the traditional financial industry by introducing advanced technologies and innovative business models with profound impacts. We aim to study the effect of Fintech development on labor allocation efficiency, and to explore its underlying mechanisms. Using a set of companies on Chinese A-share market over the years of 2011- 2020, we find that Fintech development plays a positive role in labor allocation efficiency, mainly through suppressing labor overinvestment. This positive effect is further reinforced by market competition. In addition, our investigation reveals that the primary pathways through which Fintech enhances labor allocation efficiency are lowering information asymmetry, mitigating agency issues and substituting low-skilled labor. Moreover, we show that the dimensions of depth and digitalization are particularly important in improving labor allocation efficiency among the three dimensions of Fintech development. Lastly, we find that Fintech development enhances total factor productivity by improving labor allocation efficiency.