The impact of traffic sign deficit on road traffic accidents in Nigeria

This study assesses the impact of traffic sign deficit on road traffic accidents in Nigeria. The participants were 720 commercial vehicle drivers. While simple random sampling was used to select 6 out of 137 federal highways, stratified random sampling was used to select six categories of commercial vehicle drivers. The study used qual-dominant mixed methods approach comprising key informant interviews; group interviews; field observation; policy appraisal and secondary literature on traffic signs. Result shows that the failure of government to provide and maintain traffic signs in order to guide road users through the numerous accident black spots on the highways is the major cause of road accidents in Nigeria. The study argues that provision and maintenance of traffic signs present opportunity to promoting safety on the highways and achieving the sustainable development goals.     

论民事执行标的——商标权

本文通过对“小肥羊”商标纠纷案的分析，结合现存有关法律法规的规定，阐述了在我国市场经济形势下，有关商标违法行为的认定和商标权作为民事执行标的的行性及特殊性，以及实践操作过程中常见的几个问题和解决办法。     

城市旅游标志物的确定及其结构化

针对旅游者对将要访问的城市比较陌生、选择旅游对象物时出现茫然的现象，为了更好地服务于旅游者，基于旅游行政管理的立场，提出了城市旅游标志物概念，认为其核心成员的确定需要基于遗产性、规模性、便捷性和公益性4个原则，并给出了核心成员、支持成员和外围成员的认知结构。     

一部具有巨大召唤结构的潜在文本——对《围城》文本的重新解读

《围城》不仅将封建主义文化对知识分子的精神腐蚀表现得淋漓尽致 ,而且通过对留学生身上的各种不良习气及道德品质的无情剖析 ,返照了西方社会文明的一个侧面 ;小说在构建方鸿渐等一群特定的人物所处的具体环境这个有形的“围城”的同时 ,还将笔触伸向整个人类存在 ,构建了当时中西方两种文化氛围中现代知识分子的精神危机这一座无形的“围城”,道出了现代人对自己生存处境的哲理思考 ,使其成为一部具有巨大召唤结构的潜在文本。     

财务会计专业大学生创新能力模糊评价模型研究

创新教育是现代教育的核心,正确评价学生的创新能力是检验教育成果,发现并改进教育薄弱环节,建立创新教育模式的基本要求。本文运用模糊评价的方法,以财务会计专业大学生为研究对象,设计创新能力评价指标体系,探讨如何通过建立模糊评价模型,综合评价学生的创新能力,并提出了对于评价结果的分析思路。     

中外大学生英语硕士论文中四词词块的比较研究

本研究以中国学生和英语母语学生应用语言学硕士学位论文中的四词词块为调查对象,从结构和功能角度对比分析了中外大学生在英语学术写作中的词块使用情况。研究发现,与英语母语学生相比,中国学生使用了更多数量和更多种类的四词词块,更偏爱使用被动结构的词块,较少使用介词短语词块,但对"参与者主导的词块"的使用明显不足。     

Identifying terms of trade shocks in a developing country using a sign restrictions approach

Using annual data for Botswana from 1960 to 2012, we examine the responses of macroeconomic variables to four generalized positive terms of trade shocks – global demand, globalizing, sector-specific and global supply. A sign-restricted structural vector autoregression model with a penalty function is estimated to identify the four possible shocks. While positive global demand and globalization shocks are both expansionary, they have opposite effects on inflation. A positive commodity market specific shock dampens real GDP growth and is inflationary, suggesting a possible Dutch disease response. A negative global supply shock suppresses both output growth and inflation. All but the last shock leads to a significant declining interest rate. Monetary policy contraction is recommended for the first shock and expansion for the others.     

The coevolutionary process of restaurant CSR in the time of mega disruption

This study investigates how US foodservice conglomerates have embarked on corporate social responsibility (CSR) measures to circumvent dire situations during the COVID-19 pandemic. It explores the evolution of CSR practices from restaurant enterprises to rescue and salvage their stakeholders. By analyzing press releases from ten restaurant chains in three different crisis phases (incubation, acceleration, and climax) through corpus linguistics, we identify a CSR progression mechanism that coevolves with the aftermath of the crisis among their stakeholders. This study improvises the CSR- as-process view to highlight the time-variant dynamic nature of CSR development over the course of major disruption.     

Accounting narratives and the narrative turn in accounting research: Issues,theory, methodology,methods and a research framework

This plenary address paper traces the development of accounting narratives in external reporting practice and research, focussing on corporate-sourced financial communications to shareholders and analysts. It is written from the personal perspective of a researcher who began in the positivist tradition of disclosure research and is increasingly engaging with the more interpretive/critical tradition of socially-constructed narratives. Whereas early accounting narratives research existed at the margins, modern content-analytic work on disclosures rose to a position of prominence, alongside the rise of non-financial information in the practice domain. In recent years, large-scale linguistic studies have entered the mainstream positivist North American literature, supported by computerised natural language processing. Outside this community, accounting research has witnessed a ‘narrative turn’, similar to many other social science disciplines, marking a shift away from realism and positivism. This paper argues for the importance of both lines of research. Participants' actions in relation to accounting narratives may be understood in terms of, inter alia, both economic explanations based on utility maximisation and behavioural explanations based on psychology and the embeddedness of narrative in social practice. In terms of methodology and methods, the weakening of the deep-surface divide is exemplified by the common combination of corpus linguistics approaches with (critical) discourse analysis in other disciplines. Based on a discussion of key issues, theory, methodology and methods, a framework for thinking about research in accounting narratives is offered. The challenge is to better understand the role of narratives in the increasingly rich, complex information environment of external reporting.     

Social media bots and stock markets

This study examines the link between information spread by social media bots and stock trading. Based on a large sample of tweets mentioning 55 companies in the FTSE 100 composites, we find significant relations between bot tweets and stock returns, volatility, and trading volume at both daily and intraday levels. These results are also confirmed by an event study of stock response following abnormal increases in the volume of tweets. The findings are robust to various specifications, including controlling for traditional news channel, alternative measures of volatility, information flows in pretrading hours, and different measures of sentiment.