环境不确定性与企业党员高管的创新“稳定器”效应

本文选取2010—2019年A股上市公司作为研究样本,研究高管党员身份在企业创新面临环境不确定带来冲击时的“稳定器”效应及其内在机制。研究发现：环境不确定性的提升抑制了企业创新,高管党员身份能通过降低研发支出挤出程度和优化融资环境两个渠道有效缓解环境不确定性的创新抑制效应。党员高管的创新“稳定器”效应更多地体现在环境不确定性增加的阶段,在平稳发展时期,应平衡好党组织参与企业治理与企业创新发展自主权的关系。全面从严治党战略的实施使党员高管决策风格更加稳健、保守,降低了企业风险承担,同时强化了面临环境不确定性时高管党员身份的“创新稳定器”作用。在当前企业创新面临高环境不确定性的大背景下,本文研究一方面丰富了党组织参与创新治理的理论依据,另一方面为高不确定性背景下优化企业创新环境提供了可实践路径。     

What lies beneath—Negative interest rates and bank lending

We study the transmission of negative interest rates to bank lending around an unexpected policy rate cut into deep negative territory by the Swiss National Bank (−0.75%). We exploit a rich data set on transaction-level corporate loans matched with bank balance sheet data. We find that banks more affected by negative interest rates offer looser lending terms and lend more than other banks. This result is consistent with the risk-taking channel, where a lower policy rate spurs bank risk-taking to maintain profits. The result implies that, even in such deep negative territory, the reversal rate has not yet been hit.     

Network based evidence of the financial impact of Covid-19 pandemic

How much the largest worldwide companies, belonging to different sectors of the economy, are suffering from the pandemic? Are economic relations among them changing? In this paper, we address such issues by analyzing the top 50 S&P companies by means of market and textual data. Our work proposes a network analysis model that combines such two types of information to highlight the connections among companies with the purpose of investigating the relationships before and during the pandemic crisis. In doing so, we leverage a large amount of textual data through the employment of a sentiment score which is coupled with standard market data. Our results show that the COVID-19 pandemic has largely affected the US productive system, however differently sector by sector and with more impact during the second wave compared to the first.     

Noisy chaotic dynamics in commodity markets

The nonlinear testing and modeling of economic and financial time series has increased substantially in recent years, enabling us to better understand market and price behavior, risk and the formation of expectations. Such tests have also been applied to commodity market behavior, providing evidence of heteroskedasticity, chaos, long memory, cyclicity, etc. The present evaluation of futures price behavior confirms that the resulting price movements can be random, suggesting noisy chaotic behavior. Prices could thus follow a mean process that is dynamic chaotic, coupled with a variance that follows a GARCH process. Our conclusion is that models of this type could be constructed to assist in forecasting prices in the short run but not over long run time periods.First version received: June 2001/Final version received: March 2003     

Liability for Past Environmental Contamination and Privatization

This paper examines the role ofliability for past environmental contaminationin the privatization processes of Central andEastern Europe. In particular, it establishes alink between a risk-averse investor's amount ofinformation regarding the extent of pastenvironmental contamination (and its cleanupcosts) and the investor's willingness to payfor a particular enterprise, i.e., bid. As theinvestor obtains a more precise estimate of theuncertain cleanup costs, the investor facesless risk; therefore, the investor's riskpremium falls and the investor's bid rises.This link generates four hypotheses regarding aprivatization agency's responses to theinvestor's knowledge of clean-up costs.     

Utility Regulation and Risk Allocation: The Roles of Marginal Cost Pricing and Futures Markets

The effects on consumer welfare of requiring a utility facing cost or demand risk to use either a fixed retail price or marginal cost pricing are assessed. With marginal cost pricing and cost volatility an efficient futures market allows consumer welfare to be at least as high in every state as with the fixed price. With demand risk marginal cost pricing can benefit the consumer in every state without harming the firm if the profit difference is transferred to the consumer. A futures market can act as a partial replacement for the transfer.     

农业高新技术投资项目风险评价

The agricultural high-teeh investment project （AHIP） is eharaeterized by technology-intensive, high risk and great profit. This article analyzes essential factors of the risks of the agricultural high-tech investment projects and the traditional risk evaluation method of agrtcultral projects. We think that the applications of the sensitivity, analysis and probability ore defer. Therefore; this article introduces a structural model to evaluate the risks of the agricultural high-tech investment projects and the system of the concrete evaluation indexes.     

巨灾风险证券化及在中国保险市场的应用

在分析了巨灾风险的损失频率与损失幅度的特点、传统保险与再保险对抗巨灾风险的局限性等方面的基础上，重点介绍了巨灾风险证券的几种产品类型，分析了各种风险转移方式的优缺点。最后，根据中国保险市场的特点，从应用环境和应用条件两个方面提出了开展巨灾风险证券化应用的若干设想。     

Estimating Willingness to Pay for Improved Drinking Water Quality Using Averting Behavior Method with Perception Measure

This paper suggests an application of an averting behaviormethod to reconcile inconsistent public activity with objectiveenvironmental risk. In Korea, an historically polluted watersupply has created citizen resistance to using tap water. Koreansperceive low quality levels for tap water, although objectivelymeasured data show that the pollution levels are lower than theacceptable risk. We hypothesized that the irrational aversion tousing tap water is a consequence of inconsistencies between theobjectively measured and perceived pollution levels. We introducethe perception averting behavior method, in which we add aperception measure unit to the conventional averting behaviormethod. We found that the perception measure provided a validexplanation for citizens' aversion to using tap water in Korea.     

Incentive Contract and Weather Risk

We study contracts designed to remunerate a farmer for the production of an ecosystem service with the payment dependent on the results of the farmer’s actions and on weather conditions. Two contracts are proposed: the first takes into account both the results of the farmer’s actions and a weather variable that reflects the actual atmospheric conditions during the life of the contract; the second bases the payment on the results alone incorporating only the average effect of weather. Social welfare is optimal when both the results and the specific atmospheric conditions are taken into account; however, this type of contract may be less acceptable to the farmer due to his perception of the level of risk involved.We thank two referees for valuable comments.