Fair value disclosures and crash risk

In response to the public criticism of the inadequate disclosures mandated by SFAS No. 157, Fair Value Measurements, the FASB issued ASU (Accounting Standards Update) 2010–06, Improving Disclosures about Fair Value Measurements, and ASU 2011–04, Amendments to Achieve Common Fair Value Measurement and Disclosure Requirements, in an effort to increase the reporting transparency. We examine whether the increased fair value disclosures required by these two updates effectively decrease crash risk, defined as the frequency of extreme negative stock returns. In support of the hypothesis, we find that increased transparency from these updates reduces crash risk among U.S. banking firms and that the reduction is greater in banks that have a higher level of Level 3 financial assets.     

Energy and CO2 emission relationships in the NAFTA trading bloc: a multi-regional multi-factor energy input–output approach

The North-America Free Trade Agreement (NAFTA) has brought together the economies of Canada, Mexico, and the US into forming one of the largest trading blocs worldwide (within the top CO₂ emitters). However, the current global protectionist discourse threatens the agreement. This paper analyzes the energy and energy-related CO₂ emission relationships between NAFTA countries in 2014 to gain insights into the climate change implications of current integration and the possible cancelation of the agreement. The analysis is performed with a multi-regional version of the multi-factor energy input–output model. The results show that NAFTA has not built a single integrated energy system, though it has helped reduce energy-related CO₂ emissions. Moreover, if NAFTA is not revoked, further integration would depend on the capacity of the Mexican energy sector to converge to the performance of its trade partners’ energy sectors. Conversely, a broken deal would induce negative environmental externalities.     

Logics,Leaders, Lab Coats: A Multi‐Level Study on How Institutional Logics are Linked to Entrepreneurial Intentions in Academia

Situated in the context of academia, this study integrates ideas from institutional theory, person‐environment fit theory and leadership research to conceptualize and examine the cross‐level link between the organizational‐level institutional logic of research commercialization and the entrepreneurial intentions of researchers. Multi‐level analyses based on a sample of 254 researchers working for 85 research group leaders in 49 German research institutes reveal that two distinct attributes of research group leaders – that is, their track records of entrepreneurial behaviour and their entrepreneurial intentions – play a significant role in transmitting the organizational‐level logic to the individual level. We also observe a complementary interaction between organizational‐level commercialization logic and the entrepreneurial track records of leaders. We discuss how these findings advance our understanding of science commercialization through academic entrepreneurship and how they inform institutional theory and theory development in other domains of entrepreneurship research.     

Incentives for cattle producers to adopt an E. Coli vaccine: An application of best–worst scaling

E. coli O157:H7 is an important source of foodborne disease. The E. coli pathogen occurs naturally within the rumen of livestock (including cattle) and does not affect the health of the cattle, however, can be a source of cross-contamination during food processing or environmental contamination of drinking and irrigation water supplies. A vaccine to reduce the risk of cattle shedding E. coli is licensed for use in Canada and the US, however, adoption of the vaccine by cattle producers has been extremely low. Using data from a survey of cow–calf producers in western Canada, the influence of a set of thirteen incentives to encourage adoption of the vaccine is examined using Best–Worst Scaling. Incentives include policy interventions, market/supply chain incentives, production protocol incentives, and producer reputation incentives. Heterogeneity in producer responses to the incentives is evident and is further explored with a Latent Class Cluster analysis. Results suggest that a ‘one size fits all’ policy to encourage adoption of an E. coli vaccine by cattle producers may be challenging.     

Measuring the liquidity part of volume

Based on the concept that the presence of liquidity frictions can increase the daily traded volume, we develop an extended version of the mixture of distribution hypothesis model (MDH) along the lines of Tauchen and Pitts (1983) to measure the liquidity portion of volume. Our approach relies on a structural definition of liquidity frictions arising from the theoretical framework of Grossman and Miller (1988), which explains how liquidity shocks affect the way in which information is incorporated into daily trading characteristics. In addition, we propose an econometric setup exploiting the volatility–volume relationship to filter the liquidity portion of volume and infer the presence of liquidity frictions using daily data. Finally, based on FTSE 100 stocks, we show that the extended MDH model proposed here outperforms that of Andersen (1996) and that the liquidity frictions are priced in the cross-section of stock returns.     

Public–private partnerships in Social Impact Bonds: facilitating competition or hindering transparency?

ABSTRACT

The use of Social Impact Bonds (SIBs), which introduces the potential for investor profit in public service provision, has been widely discussed. Some argue that SIBs might promote government transparency because outcome data collection and evaluation are part of contractual terms. On the other hand, some argue that SIBs might hinder government transparency because more contractual parties might lead to more uncertain data ownership and because the profit motive transforms information into a competitive advantage. This paper looks at SIBs in five countries, examining how transparency differed between SIB and non-SIB financed programmes at the same social service provider. On the positive side, SIBs led to more and longer collection of outcome data and the publication of evaluations. On the negative side, it was found that SIBs tend to generate significant obstacles to the release of data to academic researchers and that sponsored evaluations do not measure impacts.     

High-Performance HR Practices,Work Stress and Quit Intentions in the Public Health Sector: Does person–organization fit matter?

Drawing on the attraction–selection–attrition (ASA) framework, this paper examines a mechanism, namely person–organization (P–O) fit, through which high-performance HR practices (HPHRPs) affect two negative employee outcomes: work-related stress and quit intentions. Using a sample of Egyptian public health sector workers, a mediation model is tested empirically using structural equation modelling. The study results show that HPHRPs positively affected P–O fit, which in turn had significant negative associations with work stress and quit intentions. P–O fit also explained a high proportion of mediation in the relationship between HPHRP and both outcomes.     

The composite iteration algorithm for finding efficient and financially fair risk-sharing rules

We consider the problem of finding an efficient and fair ex-ante rule for division of an uncertain monetary outcome among a finite number of von Neumann–Morgenstern agents. Efficiency is understood here, as usual, in the sense of Pareto efficiency subject to the feasibility constraint. Fairness is defined as financial fairness with respect to a predetermined pricing functional. We show that efficient and financially fair allocation rules are in one-to-one correspondence with positive eigenvectors of a nonlinear homogeneous and monotone mapping associated to the risk sharing problem. We establish relevant properties of this mapping. On the basis of this, we obtain a proof of existence and uniqueness of solutions via nonlinear Perron–Frobenius theory, as well as a proof of global convergence of the natural iterative algorithm. We argue that this algorithm is computationally attractive, and discuss its rate of convergence.     

Online consumer behaviour and its relationship to website atmospheric induced flow: Insights into online travel agencies in China

Although the study of flow has recently received a lot attention, little is published about what factors controllable by firms influence its formation. Furthermore, there is a lack of knowledge between the relationship of website atmospheric cues and flow experience. Using a stimulus–organism–response framework (S–O–R framework) as the theoretical basis, this study examines the impact of consumer perceptions of website atmospheric cues (informativeness, effectiveness and entertainment) on the development of flow and its subsequent impact on purchase intention and satisfaction. A self-administered online survey was used for data collection through an internet market research firm which randomly selected individuals from its online panel. Our results support the validity of the S–O–R framework in the context of online tourism and indicate that flow fully mediates the three site atmospheric cues with regards to purchase intention and satisfaction with the travel website. This study enhances our understanding on the determinants of online purchase intention and satisfaction as well as on how a proper web atmospheric design alters consumer shopping experience which entices favourable purchase intention and generates satisfaction.     

International buyer behaviour–commitment relationship: An investigation of the empirical link in importing

Drawing on the resource-based view (RBV) of the firm this article examines relationships between knowledge, trust, communication, volatility and sustainable competitive advantage as the exogenous and endogenous variables with importer commitment as the dependent variable. The primary data was gathered from a survey of 224 commercial and industrial firms, headquartered in Bangladesh, coming from a wide cross section of industries. Statistical analysis was carried out using Structural Equation Modelling via AMOS. The study's key findings revealed that all exogenous/endogenous variables had a significant impact on importer commitment. That is, knowledge, trust, communication, volatility and sustainable competitive advantage had a significant direct impact on importer commitment. Additionally, cultural similarity, communication, volatility and supplier opportunism all had a significant indirect impact on importer commitment. This finding makes a significant contribution to the relational side of the RBV.