Chief Audit Executive as Supervisory Board Member and Executive Compensation Contracts

This paper studies a unique phenomenon in China's corporate governance—that chief audit executives (CAEs) sit on supervisory boards (CAE duality)—and examines its effects on executive compensation contracts. Using a sample of listed firms between 2010 and 2018, we find a significant positive relation between CAE duality and pay-for-performance sensitivity, which suggests that the dual position helps integrate monitoring resources and reduces agency costs. This positive relation is more pronounced when companies face a stricter monitoring environment and in non-state-owned enterprises (non-SOEs) than in SOEs. In addition, we find that the recent reforms on compensation strengthen the role of CAE duality in SOEs. Further analysis identifies the reliability of performance information (i.e., earnings quality) and reduced executive self-interested behaviours (i.e., perquisite consumption) as the influencing mechanisms that increase the demand for performance-based compensation and thus improve pay-for-performance sensitivity.     

双边投资协定与中国企业海外并购——来自准自然实验的证据

双边投资协定旨在为企业跨境投资活动提供制度性保障作用,在双边国际投资中扮演着重要角色.文章以双边投资协定的签订与实施作为一项准自然实验,采用2004?2018年140个国家的国别面板数据,基于渐进型双重差分模型,考察双边投资协定对中国企业海外并购的影响效应.研究发现:(1)双边投资协定显著促进了中国企业的意愿并购,并提升了并购成功数量.(2)在动态效应上,双边投资协定的促进效应具有长期性,且促进幅度逐步提升.(3)双边投资协定的促进效应具有显著异质性,双边投资协定的促进效应在亚洲和非洲地区更为显著,对高制度质量国家和发达国家的促进效应更强,且对非国有企业的促进作用更强.(4)拓展性检验发现,双边投资协定的文本质量对中国海外并购具有显著促进效应.(5)内在机制检验发现,通过对投资协定具体条款进行分解和量化后,"投资定义与范畴""公平公正待遇"和"最惠国待遇"是影响双边投资协定促进中国海外并购的关键性条款.文章丰富了双边投资协定与海外并购关系领域的理论研究,并为中国企业海外并购及新一轮双边投资协定实践提供了政策启示,为全球经济治理贡献了中国智慧.     

The Benefit of Frequent Corporate Philanthropy

Applying behavioural economic theory, we argue that the frequency of philanthropic activity is important in determining corporate philanthropy's economic outcome. Using Chinese data from 2003 to 2016, we find that firms with more frequent philanthropic activities obtain more government subsidies than firms that only engage in one-off charitable donations. Firms with better corporate governance, such as higher management ownership and more independent directors, are more likely to adopt a strategy of frequent donation. Furthermore, firms are more likely to be frequent donors when management or local government officers have a long tenure. Our findings provide insight into the giving process and suggest that firms can maximize the benefit of corporate philanthropy if they strategically consider the donation frequency and donation amount simultaneously.     

Box-Behnken响应面法优化徐长卿配方颗粒挥发油-β-CD包合物制备工艺

为了解决徐长卿挥发油加油难及加入后的稳定性问题,采用Box-Behnken响应面法,优选出徐长卿配方颗粒挥发油-β-CD包合物的制备工艺。在单因素试验的基础上,采用3因素3水平Box-Behnken设计对徐长卿配方颗粒挥发油-β-CD包合工艺进行优选,以挥发油包合率及包合物收率为考察指标,考察挥发油与β-CD比例、包合温度、包合时间对结果的影响。结果表明:优选的包合工艺条件为挥发油与β-CD质量比为1∶8.34,包合温度为50.2℃,包合时间为2.17 h。在此条件下,挥发油包合率为72.19%,包合物收率为75.06%,综合评分为96.41,RSD值为1.1%。优选的包合工艺包合率高,工艺稳定可行,可为配方颗粒挥发油的工业化生产提供数据支持。     

我国大麦价格波动特征及其影响因素分析

[目的]大麦价格剧烈波动会直接影响大麦种植户的生产积极性和大麦产业的平稳发展,研究大麦价格波动特征及其影响因素,有助于提升大麦产业链相关主体识别和应对市场风险的能力,促进大麦产业的健康发展。[方法]文章先采用HP滤波法和ARCH类模型分析了2011年4月至2017年2月我国大麦价格波动特征,然后采用脉冲响应函数分析了我国大麦价格波动影响因素。[结果]我国大麦价格波动存在明显的季节性和周期性,样本期内总体上呈现逐渐下降趋势;我国大麦价格具有显著的波动集聚性,我国大麦价格具有显著的不对称性;在该文选择的影响因素中,大麦进口量和国际大麦价格是影响我国大麦价格波动的主要因素。[结论]该文提出必须保障并提高国内大麦合理产能、完善大麦价格监测预警体系、加强国内大麦进口企业整合和推动大麦进口来源多元化的政策建议。     

Move fast,travel slow: the influence of high-speed rail on tourism in Taiwan

High-speed rail (HSR) and tourism are closely related economic activities because improved mobility is perceived to facilitate tourist behavioral changes. This study examines the influence of HSR on the travel patterns of individual tourists in Taiwan in relation to time, space and carbon emissions. A framework is first provided to discuss how changes in the speed of intercity transportation will affect visitors’ choice of the journey, behavior at destinations and trip quality. In addition, HSR is expected to influence five general aspects of travel decisions relating to mobility and trip emissions, including mode selection, travel distance, length of stay per trip, annual travel frequency and total travel days. In the example of Taiwan, information by onsite sampling of 400 domestic travelers found that HSR had a weak influence on travel distance and length of stay per trip, but was observed to facilitate extended time at each stop, a deeper engagement with the locality, and an approximate 10% reduction in transport carbon emissions through intermodal substitution. These phenomena are in line with the slow travel concept of sustainable tourism consumption.     

Spatial movement patterns among intra-destinations using social network analysis

To explore popularly visited tourist locations, travel movement patterns, and movement points, this study collected samples of 321 Chinese tourists and 337 Japanese tourists who were visiting major tourist destinations in Seoul and its vicinity in South Korea. Results of analyzing movement patterns showed that Japanese tourists tend to be clustered around popular attractions, whereas Chinese tourists tend to spread over a larger area of attractions. Some specific shopping and amusement attractions were the locations most popularly visited by both groups. The start points and end points in the two groups’ itineraries were dissimilar overall, even though their patterns were similar in regard to major preferred tourist attractions. Thus, the findings of this study have the potential to contribute to understanding spatial mobility in a tourism destination through tracking tourists’ movement patterns.     

Predicting credit card delinquencies: An application of deep neural networks

The objective of this paper is twofold. First, it develops a prediction system to help the credit card issuer model the credit card delinquency risk. Second, it seeks to explore the potential of deep learning (also called a deep neural network), an emerging artificial intelligence technology, in the credit risk domain. With real-life credit card data linked to 711,397 credit card holders from a large bank in Brazil, this study develops a deep neural network to evaluate the risk of credit card delinquency based on the client's personal characteristics and the spending behaviours. Compared with machine-learning algorithms of logistic regression, naive Bayes, traditional artificial neural networks, and decision trees, deep neural networks have a better overall predictive performance with the highest F scores and area under the receiver operating characteristic curve. The successful application of deep learning implies that artificial intelligence has great potential to support and automate credit risk assessment for financial institutions and credit bureaus.     

加拿大总督戴维·约翰斯顿访渝 在重庆大学探讨双方教育科技领域合作机会

正"我的5个女儿有4个都来过中国学习或参加交流项目,其中有两个汉语都讲得很不错。出国学习给她们带来很大的提升,希望你们以后能得到同样的体会和经历。"2017年7月11日,加拿大总督戴维·约翰斯顿一行访问重庆,在美丽的南滨路,与计划前往加拿大学习的部分中国学生共进火锅晚餐,并寄语中国青年:"希望你们通过在加拿大的学习生活,变得更有好奇心、包容心、判断力和同理心,这些可贵的特质将伴随你们成长。"     

Strategic entry or strategic exit? International presence by emerging economy enterprises

By proposing an integrated strategic choice framework, we theorize the distinctive dynamics of international expansion by emerging economy enterprises. Specifically, we explicate how these firms build international presence based on combined strategic entry (i.e., prompted by internal capabilities such as innovation and diversification) and strategic exit (i.e., pushed out by external handicaps at home such as institutional obstacles and market competition). Further, a firm’s cooperative ties with foreign multinationals in the former’s home country fortify the strategic entry intent, while ties with home government institutions weaken the strategic exit intent. We also demonstrate that building international presence helps bolster firm performance, highlighting the economic catch-up consequence of international expansion. Analyses of a two-year imbalanced panel data of 2136 firms statistically support our hypotheses.