Adverse effect of social media on generation Z user's behavior: Government information support as a moderating variable

Social media emerged as a primary source of information among young users, but its severe effect on mental state due to information overload, still an area of concern for the researchers. Generation Z users' addiction to the mobile phone/gadgets is increasing with a rise in social media and consequently their behavioral outcomes have transformed completely. Nowadays behavioral issues including stress, fatigue, ‘fear of missing out’ and ‘phubbing’, anxiety etc. rising each day but the relationship among these issues and information overload is less examined. The social media users are unable to filter the trustworthy information due to its enormous size and thus role of information support from government becomes essential. The current study extends the S-O-R theory exploring relationship between the stimulus of enormous information on the responses generated among the Generation Z such as social media fatigue, ‘fear of missing out’, ‘phubbing’ and anxiety. The findings from a sample of 319 users belonging to Generation Z suggest that social media platforms need to understand user's compulsive usage that is resulting into fatigue and consequently anxiety. The role of government information support on reducing fatigue and anxiety is found to be positive. The relationship between ‘fear of missing out’, ‘phubbing’ and anxiety is found significant and shows presence of partial mediation. The study offers significant theoretical and practical implications. It is significant for the service providers and social media platforms to advance interfaces with minimum fatigue for the users and offers information support to the users to reduce stress caused by information load.     

数字经济时代会计变革及对策

随着数字经济时代的来临，以人工智能技术为代表的现代信息技术越来越多地应用到会计工作中，会计工作将进入数字会计时代，向共享会计、管理会计、智能会计发展。为了适应数字经济带来的变化，会计机构要成为企业的“数据中心”，发挥管理和服务职能。会计人员要积极学习现代信息技术和管理知识，实现由核算型向管理型转型。     

基于GIS和RS的蓄滞洪区和谐发展的技术路线

应用遥感与地理信息系统技术构建基于GIS模型的蓄滞洪区空间数据库,对蓄滞洪区内的基础地理数据进行存储、管理,并对空间数据进行可视化和空间分析等操作;运用RS技术对蓄滞洪区内的土地利用、生态环境变化等情况进行动态监测,建立蓄滞洪区发展指标体系;探求蓄滞洪区的和谐发展模式,为蓄滞洪区的可持续发展提供科学依据。     

Herding behaviour and the declining value relevance of accounting information: evidence from an emerging stock market

This article sheds light on the underlying mechanisms behind the changes in the value relevance of accounting information in the Karachi Stock Exchange (KSE) during the 1999–2010 period. We find that neither changes in earnings quality nor the earnings lack of timeliness hypothesis can explain the decline in the value relevance of accounting information in the KSE. Based on the stylized facts associated with the growth of the KSE and the broader economics literature, we argue that the reduction in the explanatory power of accounting information vis-à-vis stock returns was caused by herding behaviour. Empirical estimates from state-space model of herding behaviour confirm the existence of herding, and we find that the value relevance of accounting information is significantly lower in periods characterized by herding behaviour. This article is also amongst the first attempts to empirically demonstrate that an expansionary monetary policy and increases in foreign portfolio investment lead to increased levels of herding.     

中国土地信息学30年发展研究

研究目的:明确土地信息学核心研究内容和学科地位,系统总结1980—2017年中国土地信息学研究的重要进展,划分土地信息学发展的主要阶段及各个阶段重要成果,指出土地信息学未来研究的方向和重点。研究方法:理论归纳法和文献计量法。研究结果:土地信息学是以权籍为核心、土地信息为对象,研究土地信息获取、分析、处理、存储与表达的理论、方法与技术的一门学科,服务于土地调查、评价、规划、利用、整治和保护等信息共享与决策支持。中国土地信息学发展可划分为起步阶段(1980—1995年)、关键技术应用阶段(1996—2006年)与稳步加速发展阶段(2007—2017年)三个阶段。研究结论:未来土地信息学应树立大权籍观,围绕权籍信息采集、管理、分析、表达、安全、标准等问题,研究快速、高效、精准的多元土地信息获取技术;研究土地信息的标准化、安全组织、数据交换和共享管理机制和技术;开展土地信息数据的深度挖掘分析、综合表达、集成应用技术,以及大数据、云计算、人工智能在土地信息学中的应用技术等。     

生态旅游视域下的岷江上游贫困山区生态安全评价

[目的]构建科学合理的评价指标体系,准确评价生态旅游影响下的区域生态安全状况,是推动少数民族山区实现旅游资源环境与区域社会、经济协同发展的前提和基础。[方法]以岷江上游贫困山区为例,应用灰色系统理论与熵值赋权法相结合,基于压力—状态—响应模型,构建生态旅游视域下的区域生态安全评估指标体系,并将评估指数与经济收入状况及贫困人口分布进行空间耦合。[结果](1)区域当前处于较安全水平,生态旅游开发适度;(2)综合评估指数与城镇居民可支配收入增长率、旅游收入对国民经济增长的贡献率呈正相关,且城镇居民在旅游开发中受益与机会较农牧民多;(3)综合评估指数与贫困人口比重呈负相关,与农牧民纯收入增长率没有必然联系。[结论]区域脱贫能够改善当地的生态安全状况,适度生态旅游开发是区域脱贫的有效手段,但应注重扶持农牧民在旅游业中的参与度,增加其旅游收益。     

Winning us with trifles: Adverse selection in the use of philanthropy as insurance

Research Summary: We study the use of corporate philanthropy as a form of reputation insurance, developing a formal model of such insurance to examine how the terms of insurance in equilibrium change under different assumptions about the firm and its stakeholders. We then test the predictions from this model in the U.S. petroleum industry and find that philanthropic donations offer insurance‐like benefits, but are also positively associated with subsequent oil spills—firms that give more, spill more—with this association being stronger for spills that are under firms’ control and in states with low civic capacity. These results are consistent with an adverse selection/moral hazard equilibrium and suggest that the use of philanthropy as reputation insurance may benefit firms at the cost of society. Managerial Summary: Firms that donate to social causes develop a reputation for being socially responsible, and are often given the benefit of doubt when negative information about them comes to light. But are philanthropic firms truly more responsible? We argue that firms that donate more may be more likely to do harm—those that expect to do harm later are likely to give more now, and those that know their reputation protects them may become less careful. Evidence from the U.S. petroleum industry is consistent with this argument, with firms that give more having more subsequent oil spills, but only the type of spills that are under the firm's control, and only in states where the firm faces weaker scrutiny.     

Size and information revelation in securities trading

We examine differences in information content between order submission sizes and trade sizes by U.S. equity traders. Increasing (decreasing) order submission (trade) size is reflective of information. The result suggests that better-informed traders want to trade in a large size, but that they engage in stealth trading practices or break larger orders into smaller sizes in order to conceal information. While prior studies tend to narrowly focus on trade executions at the market-centre level, our findings indicate that order submission size varies significantly from trade size and that both sizes are informative about future prices, albeit in an inverse manner.     

Information disclosure quality: correlation versus precision

We investigate how a multidimensional disclosure quality (i.e., correlation and precision) determines an optimal information disclosure strategy. We find that, for an infinitely lived, unlevered firm with market perfection, a truth‐telling disclosure is optimal at increasing the expected firm value. However, for a finitely lived, levered firm in the presence of market imperfections (e.g., bankruptcy cost), the optimal disclosure quality depends negatively on the level of imperfections. Once we consider the agency problem, such dependence can become positive, thereby highlighting the importance of a proper managerial‐incentive scheme to align the information disclosure interests of managers and shareholders.