Corporate Governance,Social Responsibility,and Data Breaches

We study whether corporate governance and social responsibility are related to data breaches. We find that socially responsible companies with smaller boards and greater financial expertise are less likely to be breached. The financial impact of a breach is visible in the long term. Specifically, data‐breach firms have –3.5% one‐year buy‐and‐hold abnormal returns. Additionally, banks with breaches have significant declines in deposits and nonbanks have significant declines in sales in the long run. Finally, we find that following a data breach, companies are more likely to replace their chief executive officer and chief technology officer as well as improve their governance and social responsibility.     

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.     

Knowledge spillover from other assurance services

We argue that services which are complimentary and closer aligned to the annual report audit provide greater insight about risk and are more likely to exhibit the existence of economies of scope (knowledge spillover) through a positive association with audit fees. Specifically, we consider the potential for knowledge spillover from the auditing of triennial Long-Term Plans (LTP) to the annual report audit for a large sample of New Zealand municipals over the period 2005–2013. We find the LTP audit fees are positively related to municipal annual report audit fees and other fees (audit of for-profit subsidiaries, non-audit services) are not. This suggests that knowledge spillovers are dependent on the nature of the additional services. We also find evidence of higher fees for private sector auditors for both the annual report and the LTP audit. The LTP (forecast) audit fee is associated with municipal size, complexity, and political competition.     

Sharing my way to success: A case study on developing entrepreneurial ventures using social capital in an OSS community

While Open Source Software (OSS) communities provide opportunities for knowledge creation, we have a limited understanding of how entrepreneurs leverage OSS communities for their entrepreneurial ventures. Using social capital theory in a mixed methods case study, we compare entrepreneur and non-entrepreneur behaviors to investigate how entrepreneurs build social capital within an OSS community. This study shows that entrepreneurs differentiate themselves from non-entrepreneurs by focusing on cognitive and relational capital building activities, which in return makes it possible for them to leverage their social capital to influence and shape the environment in which they are operating. Our findings suggest that entrepreneurs strategically select which activities within the community to expend their limited resources on (e.g., developing code over participating in email conversations) and build their social capital more through their actions than through their words (e.g., showing their commitment to the community through code commits, bug fixes, and documentation). Given the liabilities of newness and smallness as well as other challenges faced by entrepreneurs, applying an open innovation strategy in OSS communities could be one approach where entrepreneurs, by developing and freely revealing their intellectual property to the community, share their way to success via OSS-infused entrepreneurial business ventures.     

Corporate social responsibility and Eurozone corporate bonds: The moderating role of country sustainability

In this paper, we empirically examine whether superior performance in corporate social responsibility (CSR) results in lower credit risk, measured by credit ratings and zero-volatility spreads (z-spreads). We are especially interested in how the environmental, social, and governance (ESG) related performance of the corresponding countries moderates this relationship. We find only weak evidence that superior corporate social performance (CSP) results in systematically reduced credit risk. However, we do find strong support for our hypothesis that a country’s ESG performance moderates the CSP–credit risk relationship. Superior CSP is regarded as risk-reducing and rewarded with better ratings and lower z-spreads only if it is recognized by the environment. In addition, we find a reduction of corporate bonds’ z-spreads by approx. 9.64 basis points if the CSP of a company mirrors the ESG performance of the country it is located in.     

Hybridizing local and generic information to model cropping system spatial distribution in an agricultural landscape

For quantitative water management, fine analysis of spatial and temporal interactions between cropping systems and water resources helps identify time and site-specific withdrawal situations. However, it is a methodological challenge to provide fine-resolution analyses at the scale of large watersheds used for crises management. In this study, we present a methodology based on multiple methods and mixed sources of information to finely model an agricultural landscape (AL) that represents the spatial distribution of cropping systems. Our approach is based on progressively hybridizing databases and local actors' and experts' knowledge to produce a spatially explicit and dynamic model. The Land Parcel Identification System database, which resulted from the European Common Agricultural Policy, is crucial for our method since it provides the spatial and temporal basis of our model (i.e., geographic delineation of islets and information about crop sequences). Local knowledge is used to identify factors determining spatial distribution of cropping systems and to build a generic model that simulates farmers' crop-management strategies. The model was qualitatively and quantitatively evaluated using a multi-agent simulation platform (MAELIA). We asked local experts on quantitative water management to evaluate the ability of the platform to reproduce intra- and inter-annual dynamics at different levels when using our model of the AL as input. The experts were satisfied with the results; they validated the predicted dynamics of the variables, and some discussed the objectivity of the values. We discuss the method’s contribution to current challenges in modeling large agricultural areas and the associated tradeoffs. The approach is promising for policy makers who wish to develop integrated, locally adapted land-management strategies.     

A NOTE ON PRICING OF PRODUCT QUALITY FOR STATUS CONCERNS

The paper analyses the optimal pricing of the product quality scheme when concerns for relative standing exist among consumers. We demonstrate that if the proportion of high‐value consumers is over (respectively, under) 1/2 of the total consumers, a firm has an incentive to select a large (respectively, small) quality gap among products. Therefore, there exists a cut‐off level for status concerns, which eliminates quality differences, and the firm assigns the same quality to all the consumers. These results indicate that consumers’ qualities will reflect distortions at the top and bottom. Accordingly, the firm's profit depends on which consumer category is larger.     

Location choice in low-income countries: Evidence from Japanese investments in East Asia

Unlike most existing studies, this paper examines the location choices of multinational enterprises (MNEs) in low-income countries. Specifically, we investigate the location choices of Japanese MNEs among East Asian developing countries by estimating a four-stage nested logit model and a mixed logit model at the province level. Our findings are as follows. First, Japanese MNEs consider Cambodia, Laos, Myanmar, and Vietnam to be host countries different from China and the forerunners of ASEAN. In other words, for Japanese investors, ASEAN forerunners are countries replaceable by China. Second, the mechanics of vertical FDI are more likely to appear in FDIs in low-income countries. For example, rather than the market size of the host country, tariff rates on products from investing countries are more crucial location elements.     

Experience,Learning, and Returns to Scale

The experience curve is a tool for forecasting future decreases in average cost as a function of cumulative output/volume. The extent of an experience effect has profound implications for both pricing strategy and the focus on market share as a managerial objective. At the same time, the underlying sources of the experience effect are not well understood. This article demonstrates that, as commonly measured, experience effects are aggregated with the effects of increasing returns to scale. This implies that standard experience curve estimates are misspecified because they suffer from an omitted variable bias. Strategic implications of the experience‐scale link are discussed.     

Engagement partner specialization and corporate disclosure transparency

This paper explores the association of audit partners' industry specialization with corporate disclosure transparency and the latter's informativeness. The distinctive institutional designs of partner signature requirement and Information Disclosure and Transparency Ranking System (IDTRS) adopted in Taiwan allow us to empirically address the issue. We posit and find that the rankings from the IDTRS are higher for firms audited by industry specialist engagement partners than for firms audited by non-specialist engagement partners. Additionally, the results show that the probability of informed trade (PIN) proxy for information asymmetry is negatively associated with the rankings for clients of industry specialist engagement partners, but not for clients of industry non-specialist engagement partners. The results are robust with respect to alternative estimation method and alternative measures of industry specialization. Overall, the evidence suggests that industry specialist engagement partners enhance the credibility of corporate disclosure transparency, through which information asymmetry is further declined. The evidence provides policy implications to the partner signature requirement adopted in Taiwan and China.