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.     

Excessive managerial entrenchment,corporate governance,and firm performance

This paper investigates the differential impact of positive and negative excessive managerial entrenchment on the CEO turnover-performance sensitivity, CEO compensation, and firm performance. We measure the degree of managerial entrenchment using the E-index introduced by Bebchuk et al. (2009). Our findings suggest that an increase in excess CEO entrenchment reduces the likelihood of CEO turnover due to poor performance. We also show a positive association between excessive entrenchment and CEO compensation as managers gain more power and authority when they are entrenched. On the other hand, excess CEO entrenchment has an inverse correlation with firm performance and firm value. Overall, we propose that excessive managerial entrenchment has a converse impact on board monitoring and shareholders’ welfare.     

A taxonomy of prestige-seeking university students: strategic insights for higher education

This study explores the importance of psychographic characteristics as potential segmentation bases in the higher education sector. In particular, we develop a taxonomy of university students based on their achievement orientation and prestige sensitivity. The study analyses the survey data obtained from 948 respondents using cluster analyses and multiple analysis of variance (MANOVA), indicating interesting findings. Three distinct clusters emerge, namely Strivers, Modest Achievers and Prestige-seeking Innovators. Findings reveal that Prestige-seeking Innovators have a more positive attitude towards the university, whereas Strivers have the strongest sense of regret over their decision to enrol at their current university and would seize the opportunity to enrol in a more prestigious university. The taxonomy is highly relevant to marketers of higher education institutions as it gives insights into potential bases for segmentation, positioning and communication strategies targeting the specific characteristics of each segment.     

Managerial Overconfidence,Self-Attribution Bias,and Downwardly Sticky Investment: Evidence from Korea

The extant literature on behavioral corporate finance has explored the effects of overconfidence on investment–cash flow sensitivity (ICS) to explain overinvestment, yet it has overlooked the asymmetric behavior of investments in relation to changes in cash flow levels. This study examines whether investments behave asymmetrically responding to changes in cash flows and, if so, how managerial overconfidence affects asymmetric ICS. Using a sample of KOSPI and KOSDAQ firms in Korea, we find the incidence of downwardly sticky ICS in unconstrained firms. We then find that overconfident managers encourage ICS to be stickier than their rational peers do in unconstrained firms. Finally, we find that managerial overconfidence intensified by self-attribution bias induces ICS to get even stickier, suggesting more explicit evidence of corporate investment distortions. The results of alternative tests using the asymmetric models of Homburg and Nasev (2008) are qualitatively consistent with prior results. Overall, our findings imply a higher incidence of excessive investment commitments driven by overconfident managers.     

On the power of indicators: how the choice of fuel poverty indicator affects the identification of the target population

In light of the creation of the EU Energy Poverty Observatory (EPOV) in January 2018 and the increase in debates on how fuel poverty is measured, we propose a critical analysis of fuel poverty indicators and demonstrate that choosing a given indicator is central to the identification of the fuel-poorpopulation.

First, we conducted an inter-indicator analysis to show how profiles of fuel-poor households vary depending on the indicator selected. We designed a multidimensional approach based on a multiple correspondence analysis and a hierarchical and partitioning clustering analysis to study characteristics of fuel-poor households. We highlight the difficulty of identifying a fuel-poor ‘typical profile’ and show that the composition of the population depends on the choice of the indicator.

Second, we applied an intra-indicator analysis using two objective expenditure-based indicators with thresholds. In particular, we conducted a sensitivity analysis based on a logit model including variables describing household and dwelling characteristics. We show that the profiles of fuel-poor households as well as the drivers of fuel poverty vary considerably with the chosen threshold level.Given these findings, we stress the need to review how we currently rely on conventional fuel poverty indicators to identify target groups and give some recommendations.     

基于神经网络的建筑业碳排放强度预测——以京津冀为例

通过统计分析得出影响建筑业碳排放强度的13个影响因素,基于收集的京津冀相关数据,运用逐步回归分析找出其中6个关键因素.借鉴五折交叉验证解决数据稀缺问题,采用神经网络对京津冀建筑业碳排放强度进行预测.利用敏感性分析简化模型,筛选出4个核心因素.结果表明,此模型预测精度高达99％,同时根据挖掘出的核心因素和关键因素,提出建筑业节能减排的建议.     

Firm listing status and the investment home bias

Are public firm investment rates more sensitive than private firm rates to new investment opportunities? We offer a new explanation for differences in public and private firm investment sensitivities: investment sensitivities differ because the type of investments favored by firms varies with their listing status. Specifically, we consider the geography of investment opportunities and find that private firms have a much stronger investment home-bias than similar public firms which makes their investment decisions more sensitive to local investment opportunities than public firms. Controlling for local investment opportunities explains four-fifths of the differential sensitivity between public and private firms not explained by more traditional measures of investment opportunities.     

The impact of investor structure on stock price crash sensitivity: Evidence from China's stock market

Stock price crash sensitivity refers to the conditional probability of a stock crash when the market collapses. It focuses on individual stocks' sensitivity to the market crash and can affect stock pricing significantly. Although the crash sensitivity of China's stock market is very high as a whole (Weigert, 2016), different individual stocks show varying degrees of crash sensitivity. This paper, adopting the perspective of institutional investors, explores the reasons for the difference in crash sensitivity in China's stock market, and finds that: First, institutional investors' shareholdings is positively related to firms' stock price crash sensitivity. However, after dividing institutional investors into professional (represented by financial institutions) and non-professional institutional investors (represented by general legal persons), we find that only professional institutional investors' shareholdings is negatively related to firms' stock price crash sensitivity. Second, the impact of professional institutional investors on the crash sensitivity is influenced by stock liquidity and media sentiment: when the stock liquidity of listed companies is good or the media sentiment is strong, the negative impact of professional institutional investors on the crash sensitivity is accordingly high. This paper, by highlighting the investor structure, attempts a pioneering exploration of the influencing factors of the difference in stock price crash sensitivity in China. Our empirical results enrich research on stock price crash sensitivity and the heterogeneity of institutional investors. They can also serve to guide regulatory authorities' development of institutional investors and efforts to maintain market stability.     

Performance sensitivity of non-executive compensation in China: The role of economic policy uncertainty

This paper examines the impact of economic policy uncertainty on non-executive employees from the perspective of pay-performance sensitivity (PPS). Economy-wide uncertainty can trigger adverse impacts for businesses, and in response enterprises may adjust employee pay to maintain their level of activity. Using firm-level data on A-share companies listed on the Shanghai and Shenzhen Stock Exchanges during 2003–2016, this paper finds that better-performing firms pay higher wages on average, which they adjust only during uncertain times. We also show that the impact of economic policy uncertainty on PPS is more pronounced in the context of labor-intensive, highly competitive industries and state-owned enterprises, because they tend to respond to uncertainty via wage adjustment. The evidence demonstrates that the pay-performance link is much weaker during uncertain times, when different subgroups react differently. However, our finding of a robust pay-performance relation holds, even with a range of firm-level controls and accounting for different levels of firm heterogeneity.     

Disappearing investment-cash flow sensitivities: Earnings have not become a worse proxy for cash flow

According to a recent conjecture in the literature, earnings have become a poorer proxy for cash flow from operations over time. We find that since 1988, when cash flow statements started to be consistently reported in Compustat, the cash effectiveness of earnings has actually increased for a large sample of US manufacturing firms. This occurs despite the introduction of fair value accounting and increasing accounting accruals during the last three decades. Also contrary to the conjecture, using more comprehensive measures of cash flow does not restore the investment-cash flow sensitivity, which continues to be around 0.05 in more recent periods.