企业社会责任表现、报告质量与企业声誉——基于中国上市公司的实证研究

近年来，越来越多的企业通过发布企业社会责任（CSR）报告与利益相关者沟通CSR表现的情况。在CSR与企业声誉之间的关系备受关注的背景下，CSR报告质量在其中发挥着什么样的作用呢？梳理现有文献，将CSR表现划分成责任管理、市场责任、社会责任以及环境责任，通过实证检验，分别探讨各自与企业声誉之间的作用机理，并研究CSR报告质量在二者之间关系中的调节效应。研究结果显示CSR表现正向作用于企业声誉，相较于责任管理，责任实践的正向作用更强。同时CSR报告质量在二者之间的关系中具有调节效应，能够进一步提升企业声誉，并且对环境责任的调节效应最为明显。     

Accounting quality,information risk and the term structure of implied volatility around earnings announcements

We examine the association between accounting quality, which is used as a proxy for firm information risk, and the behavior of the term structure of implied option volatility around earnings announcements. By employing a large sample of US firms having options traded on their equity during 1996–2010, we find that lower (higher) accounting quality is significantly associated with stronger (weaker) changes in the steepness of the term structure of implied volatility curve around quarterly earnings announcements. This finding (which is robust to controls for business-stemming uncertainty regarding future firm performance) is consistent with a stronger differential of short vs. long-term uncertainty for higher information risk firms, indicating greater uncertainty on the future economic performance of poorer vs. stronger accounting quality firms. We also establish the trading implications of these findings by demonstrating a (profitable in-sample) self-financed option trading strategy that is based on the quality of the accounting information released on earnings announcement days.     

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.     

The use of open source internet to analysis and predict stock market trading volume

The objective of this paper is to evaluate the impact of information demand and supply on stock market trading volume. Few studies have demonstrated the role of Google search data in analyzing trading volume activity. In this study, we employ a proxy for information demand which is derived from weekly internet search volume. The latest is from Google Trends database, for 25 of the largest stocks traded on CAC40 index, between April 2007 and March 2014. We use news headlines as a proxy for information supply. We use Garch model to analyze and predict trading volume.The empirical results present new evidences. First, information supply has an impact on trading volume but information demand's impact is much more important. Secondly, by applying MCA to results found, it could be concluded that the impact of public information on transaction volume is conditioned by two elements: the firm and market news disclosure and the second element relates to the characteristics of the market participants, more precisely their news interpretations and their risk aversion. Thirdly, we used Chow structural break test to verify the stability of our model. We found that for securities with structural changes, information demand is the responsible variable of the change in our model. Finally, we found that information variables have a predictive power on transaction volume.This paper contributes to existing literature by incorporating open source internet-based data into the analysis and prediction of transaction volume. Using internet information about the stock market, which has appeared recently as an interesting research for financial empiricists, computer scientists and practitioners, will have a very important utility because quantifying demand and supply of information becomes possible.     

Exporting,R&D investment and firm survival in the Indian IT sector

This paper examines the effect of exporting and R&D investment on firm survival for a panel of Indian IT firms. We show that exporting has competing effects on firm survival. On the one hand, exporting and investing in productivity are complementary activities, while, on the other, exporting activity is an additional source of uncertainty for the firm. We show that both effects influence survival, but operate at different points in time. Specifically, the hazard facing exporters is higher than non-exporters in the initial phase following entry into the export market, reflecting the fact that exporters are particularly vulnerable to shocks in the start-up phase. However, over time, exporters benefit more from productivity gains than non-exporters and the hazard facing exporters falls below that confronting non-exporters.     

A model that connects information technology and hotel performance

Despite vast investments in IT, there is scant research and empirical data that connects, in depth, IT with firm performance in the hospitality industry. However, the literature does show partial evidence and examples of particular technologies. After an extensive literature review, we posit four global paths through which IT can impact hotel performance and, for each one, the precise mechanisms that cause these influences. These four proposals are further developed and refined using in-depth interviews with a group of 30 managers of different areas from several hotels. A final comprehensive model that shows the specific routes that IT can follow in order to improve hotel organizational performance is presented. This model can be taken as a frame of reference by academics and can also be used by both practitioners and IT producers to assess particular IT options.     

Predicting information seeking regarding hurricane evacuation in the destination

The study examined the roles of tourists' risk beliefs, connectedness, hurricane knowledge, and their past experiences with hurricane impacts in relation to their information seeking behavior regarding hurricane evacuation while in the destination. Surveys were collected from tourists who were visiting Florida in September 2011, during the Atlantic hurricane season. Findings from this study reveal and confirm the existence of the critical relationship among tourist information seeking, past experience with hurricanes, individual risk beliefs, and level of knowledge. It is recommended that destination managers make investments in hurricane communication messages, which target a wide array of tourists. The effectiveness of hurricane evacuation information is linked to the receptiveness of the content of the message by differing groups.     

Analysis of tourism information sources using a Mokken Scale perspective

This study contributes to the analysis of information sources as a determinant of the travel decision-making process. It focuses on the use of Mokken Scale Analysis (MSA) as a new methodological approach to detect unidimensional hierarchical scale in the analysis of information sources. The paper shows how MSA can be applied in the tourism field. Findings reveal two different scales (active and passive information search scales) for classifying information sources in tourism. Variations in the scales are revealed, taking socio-demographic and travel behavioural variables into consideration. The conclusions clearly explain the implications for tourism marketers and make recommendations for future research.     

中西部欠发达城市土地利用结构地域差异研究——以河池市为例

以河池市2014年土地利用变更数据为基础,运用计量地理模型与GIS软件等方法,分析其土地利用结构的地域差异情况。河池市各县市均具有较大区位意义的土地利用类型,其土地利用多样性与信息熵较高,但土地利用集中度都处于低水平,市内县市具有多种不同最优土地利用类型组合。河池市未有效利用优越的地理优势发展其特色优势产业,这将成为河池市今后土地利用规划研究的重中之重。     

Evaluating information diffusion speed and its determinants in social media networks during humanitarian crises

The rapid diffusion of information is critical to combat the extreme levels of uncertainty and complexity that surround disaster relief operations. As a means of gathering and sharing information, humanitarian organizations are becoming increasingly reliant on social media platforms based on the Internet. In this paper, we present a field study that examines how effectively information diffuses through social media networks embedded in these platforms. Using a large dataset from Twitter during Hurricane Sandy, we first applied Information Diffusion Theory to characterize diffusion rates. Then, we empirically examined the impact of key elements on information propagation rates on social media. Our results revealed that internal diffusion through social media networks advances at a significantly higher speed than information in these networks coming from external sources. This finding is important because it suggests that social media networks are effective at passing information along during humanitarian crises that require urgent information diffusion. Our results also indicate that dissemination rates depend on the influence of those who originate the information. Moreover, they suggest that information posted earlier during a disaster exhibits a significantly higher speed of diffusion than information that is introduced later during more eventful stages in the disaster. This is because, over time, participation in the diffusion of information declines as more and more communications compete for attention among users.