It has been confirmed that sustainable investments contributing to environmental protection can benefit from the deterioration of air pollution, but this influence mechanism has not been fully discussed. This paper proposes a mediation model to study air pollution's influence on green bonds. Theoretically, air pollution raises public environmental awareness and perceptions of physical health risks, leading to increased public concern. Enhanced public concern drives investors' green preference and environmental responsibility, thus expanding green bond demand. Our studies show air pollution is significantly positive related to public concern. Public concern positively links with green bond investment willingness, resulting in increased volatility. The total positive effect of air pollution on green bond is partly absorbed by the effect of public concern. These findings confirm the mediation role of public concern. In addition, major crisis events (e.g., COVID-19) may hinder the mediation process by generating a negative trend and distracting the public.

论文在信息不对称的理论框架下，说明保险能够改善信贷活动中的逆向选择和道德风险行为的影响，提高信贷机构的期望利润和放贷意愿。据此，并考虑供给与需求的联系，论文在经验分析中采用四元Probit模型，以陕、苏二省822户农户的入户调查数据为样本，考察了保险之于信贷供给的影响。结果显示：保险的存在总体上显著提高了农户的信贷可得性，但不同类别保险对农业生产性信贷供给的支持作用并不相同。论文研究意味着保险可成为提升农户信贷获取能力，平衡农村信贷机构利润诉求与支农目标的现实可行选择，应进一步挖掘保险的作用，支持构建多样化的信贷保险关联机制。

Low demand for crop insurance, even when subsidized at highly favorable rates, remains a challenge for policymakers in developing countries attempting to create insurance-based farm safety nets. Evidence from a series of surveys and experiments with 477 vegetable farmers in China reveals several anomalies in farmers’ demand for crop insurance as well as deviations from predictions under both expected utility theory and cumulative prospect theory. Farmers are willing to pay higher price for neutral-frame risk protection tool than for an insurance-frame equivalent. Moreover, they tend to be more likely to purchase low-coverage than high-coverage insurance, even when high coverage provides greater subsidized value. Among risk- and loss-averse farmers, who theoretically should be more interested in adopting risk protection tools, we find less willingness to purchase high-coverage level insurance.

依托中国省域层面的保险经营数据及世界价值观大型社会调查数据，我们将信任与保险销售之间的关系开创性的从两个角度——“值得信任”与“信任他人”进行了分析，结果表明不同的信任对地区财产险销售业绩具有不同的影响。在回归分析中本文采用了相对滞后的信任数据进行回归分析后，发现以体现商业信誉为主的“值得信任”变量对地区财产险销售具有显著的正向影响，而对风险承担更为敏感的“信任他人”变量则对地区财产险销售具有显著的负向影响。与既有的文献结论类似，财产险经营与地区信任的关系并不适用于人身险。

The crypto and noncrypto markets used to be separated from each other. We argue that with the rapid development of stablecoins since 2018, risks are now transmitted between the crypto and noncrypto markets through stablecoins, which are both pegged to noncrypto assets and play a central role in crypto trading. Applying copula-based CoVaR approaches, we find significant risk spillovers between stablecoins and cryptocurrencies as well as between stablecoins and noncrypto markets, which could help explain the tail dependency between the crypto and noncrypto markets from 2019 to 2021. We also document that the risk spillovers through stablecoins are asymmetric—stronger in the direction from the US dollar to the crypto market than vice versa—which suggests the crypto market is re-dollarizing. Further analyses consider alternative explanations, such as the COVID-19 pandemic and institutional crypto holdings, and determine that the primary channels of risk transmission are stablecoins' US dollar peg to the noncrypto market and their transaction-medium function in the crypto ecosystem. Our results have important implications for financial stability and shed light on the future of stablecoin regulation.

Over the past decade, the rapidly digitizing economy in China has attracted much attention in both academic and policy circles. Most existing studies focus on the positive impact digitalization has had on China's inclusive growth. Few of them have attempted to measure the widening digital divide and its potential impact. Using the 2017 and 2019 China Household Finance Survey (CHFS) data, this paper: (i) provides the first evidence that the digital divide has a significant negative impact on household consumption. For every unit increase in the digital divide, the level of household consumption will drop by about 28 percent; (ii) finds the negative impact stems from an integrated channel of rising unemployment, intensified liquidity constraints, and declining financial literacy; and (iii) further discloses that the digital divide has differential impacts on household consumption by category, while hinders consumption diversification. The results are robust to correcting for potential endogeneity due to sample selection, household heterogeneity, and reverse causality. Our findings shed new light on some little-documented evidence and have profound implications for related socio-economic policies that fully utilize technology to drive efficiency and inclusivity in the digital economy.

We examine the role of borrowers' digital footprints in debt collection. Using a large sample of personal loans from a fintech lender in China, we find that the information acquired by the lender through borrowers' digital footprints can increase the repayment likelihood on delinquent loans by 18.5%. The effect can be explained by two channels: bonding borrowers' obligations with their social networks and locating borrowers' physical locations. Moreover, the lender is more likely to approve loan applications from borrowers with digital footprints, even though these borrowers may occasionally have a higher likelihood of delinquency. The use of digital footprints can remain legitimate under stringent privacy protection regulations and fair debt collection practices. Our findings suggest that digital footprints, as a new type of collateral, can ultimately enhance financial inclusion by facilitating the lender's collection of delinquent loans.

机器人投资顾问（RIA）能为投资者提供信息，帮助其决策，已出现在多种投资平台上。利用2020和2021年中国最大投资平台的账户数据，本文检验了机器人投资顾问提供的不同服务。总体上看，机器人投顾的使用率越高，未来的净收益和风险调整后收益也越高，资产更多元，风险也越高。和信息服务相比，建议服务能对未来交易行为产生更大影响；这可能是因为机器投顾的建议比较简单，容易理解，因此能更好地被遵循，这与信息服务提供的海量信息形成对比。本文没有发现现有机器人投顾能移除行为偏差的证据。

实施新旧动能转换，深化供给侧结构性改革，培育新的经济结构，是实现经济持续健康发展的重要途径。商业银行，作为我国金融体系的主体力量，通过市场资金的流动，起到联通、协调不同行业发展的作用，在新旧动能转换过程中能够发挥重要的引导作用。但是在实际运行中商业银行信贷结构有待优化、风险管控能力有待提高、业务和产品创新能力面临考验等问题，制约着银行效能的发挥。如何找到银行经营与新旧动能转换的契合点,抢抓历史发展机遇，发展壮大自身，成为商业银行亟待解决的重要问题。

本文以2007至2016年共10年间我国A股非金融上市企业和开放式股票型基金为样本，基于Fama-French五因子模型风险调整后的投资业绩测度了持股基金投资能力，以上市公司高管基金行业背景校友数量和滞后持股基金投资能力为工具，分别采用固定效应模型和工具变量回归，揭示了持股基金投资能力差异对股票价格的因果性影响。计量分析发现：（1）高水平基金持股显著降低了股票价格波动性，持股基金投资能力越高，股价整体波动性和特质波动性越低；（2）控制投资能力以后，基金持股规模与股价波动性正相关，即基金持股比例越高股票价格反而波动越剧烈。