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This paper introduces the financing purposes (FP) channel, a new channel through which uncertainty affects the effectiveness of monetary policy. Using U.S. bank-firm-loan-level data from 1990 to 2019, we examine how firms adjust FP in response to monetary policy shocks and how this response varies with the level of macroeconomic uncertainty. We find that firms demand more bank loans for investment...
Bearings are essential and crucial components of rotating machinery. Bearing faults can jeopardize the safe operation of mechanical equipment and diminish production efficiency. Anomaly detection (AD) has been recognized as a solution, but its effectiveness is still hindered by lack of abnormal samples and uncertainties resulted from variable speed. In this study, an AD scheme is proposed for bear...
The term “discrepancy” originates from the Latin “discrepantia,” meaning the noticeable difference between two things that are assumed to be the same. Strategic cognition and actions are critical to firm growth. While existing literature has underscored the relationship between strategic cognition and actions, limited research has been devoted to comprehending the role of inconsistency between...
在世界百年未有之大变局下，数据作为重要的生产要素，已成为国际贸易新格局的核心牵引。数字贸易通过虚拟集聚效应，可以突破时空限制改变传统产业集聚形态，推动全球价值链、产业链的重组变革。大力发展数字贸易对培育和发展新质生产力，实现新旧动能转换，推动产业链价值链向高端攀升以及突破战略围堵都有着极其重要的作用。因此，我国需要加快推动数字贸易区域市场的相关谈判，加大对跨国学术研究的支持力度，立足于发展中国家共...
Learning from the lessons of the COVID-19 pandemic, nations are increasingly recognizing the imperative to develop sustainable mobility interventions that effectively balance epidemic control and economic stability. In response, we study a novel network immunity problem: the formulation of precise capacity limitation measures for each point of interest (POI) node within the urban mobility network....
Blockchain-based traceability labels is increasingly adopted in supply chain, yet there is little empirical research to examine effectiveness from consumer perspective. Can blockchain technology motivate consumers to purchase sustainable products? Drawing on signaling theory, this paper answers this question by comparing the effect of blockchain-based traceability labels with certification-based l...
在当前数字化潮流中,如何合理配置和利用数字技术以促进供应链的整合与协作,成为企业面临的新的机遇和挑战,也是企业获取竞争优势的关键途径。本文基于资源基础观,探讨供应链数字化连接与信息对齐通过大数据预测分析能力影响企业竞争优势的作用机制以及行业数字技术强度的调节作用。本文通过对293家制造企业的问卷调查和对国泰安数据库的行业数据进行实证分析,研究发现:数字化连接与信息对齐对企业竞争优势均有显著正向影响,且大数据...
消费作为拉动经济增长的“三驾马车”之一，在国民经济发展中具有基础性作用。当前，中国面临内需减缓和消费疲软的现实挑战。在此背景下，研究空气污染对消费的实际影响，兼具重要的学术价值与现实意义。本文利用淘系电商交易数据研究了空气污染对于线上消费的影响，并借助逆温现象对空气污染的外生冲击，建立了两者之间的因果关系。研究发现，空气污染会对线上消费具有显著的抑制作用：PM2.5浓度每上升一个标准差（35.49μg/m3），...
Investors often cover a limited number of stocks, leading to a certain level of correlation in their information sets. Despite its importance, the role of this correlation in determining the return comovement between stock pairs has been less explored. In this study, we introduce a novel measure of common investor coverage, calculated using the number of co-commentators normalized by the geometric...
This study introduces a novel copula class, referred to as the distorted GAB copula (hereafter, dGAB copula), as an alternative to the Gaussian copula, which has shown limitations in capturing tail dependence. Much like the Gaussian copula, the dGAB copula can be uniquely determined by its bivariate marginal copulas and offers effective tail dependence modeling capabilities. To demonstrate its pra...
Despite the substantial progress in predicting human mobility, most existing methods fail to reveal the spatiotemporal patterns under significant interventions such as COVID-19, which disrupt the routine of human mobility. To fill this gap, this paper presents a unified framework for learning human mobility in both regular and intervened scenarios through explicit modeling of the intervention and ...
Extreme-case risk measures provide an approach for quantifying the upper and lower bounds of risk in situations where limited information is available regarding the underlying distributions. Previous research has demonstrated that for popular risk measures, such as value-at-risk and conditional value-at-risk, the worst-case counterparts can be evaluated in closed form when only the first two momen...
