Socio-demographics,political attitudes and informal sector employment: A cross-country analysis

In this paper, we empirically investigate the relationship between informal sector employment and micro-level socio-demographic characteristics, political acts and attitudes, and individual norms. Using self-reported individual micro-level data from the World Values Survey for seven developing countries (China, Ecuador, Egypt, Mexico, Peru, South Africa and Yemen), our cross-country regressions and principal component analysis reveal that socio-demographic characteristics of individuals are strong predictors of their informal sector employment. Our estimations further document that individual preferences for an economically strong, interventionist and egalitarian state and confidence in state and political institutions are positively and significantly correlated with informal sector employment, whereas variables associated with confidence in free market institutions and support for competition are negatively and significantly correlated with informal sector employment. We also show that individuals who participate either actively or inactively in peaceful and lawful political processes are significantly less likely to work in the informal sector. Finally, we document that individual norms, such as religiosity and tax morale, are negatively correlated with informal sector employment. Throughout our analysis, instead of having to rely on ad-hoc informality categorizations of third parties, we base our measurement of informal sector employment directly on the self-evaluation of individuals, who have the best information on the degree of their informality.     

Machine learning for financial transaction classification across companies using character-level word embeddings of text fields

An important initial step in accounting is mapping financial transfers to the corresponding accounts. We devised machine-learning-based systems that automate this process. They use word embeddings with character-level features to process transaction texts. When considering 473 companies independently, our approach achieved an average top-1 accuracy of 80.50%, outperforming baselines that exclude the transaction texts or rely on a lexical bag-of-words text representation. We extended the approach to generalizes across companies and even across different corporate sectors. After standardization of the account structures and careful feature engineering, a single classifier trained on 44 companies from 28 sectors achieved a test accuracy of more than 80%. When trained on 43 companies and tested on the remaining one, the system achieved an average performance of 64.62%. This rate increased to nearly 70% when considering only the largest sector.     

Financial scandals: a historical overview

I examine the incidence of fraud from c.1720 to 2009 and relate it to the occurrence of significant financial scandals. Focusing on the UK, and US prior to Enron, and using a detailed dataset of significant events and news content, underpinned by examination of specific watershed scandals, the paper highlights the regulatory response to scandals and the implications for accounting and financial reporting. The evidence reveals the incidence of fraud and financial scandal to be historically contingent and skewed towards certain sectors, particularly banking and finance, facilitated by complex group structures and international capital mobility, and mediated by managerial incentives and ownership concentration. Financial reporting and auditing can mitigate fraud opportunities in all sectors and businesses without complex group structures, and the accounting profession achieved some success in this respect up to the mid-1970s. Since then, the profession has been increasingly challenged by, and to some degree implicated in, the development of interconnected and international business networks, which, combined with wider financial deregulation, has led to a resurgence of fraud and financial scandal not previously experienced since the mid-nineteenth century.     

公司治理结构与会计信息失真防范

我国会计信息失真严重,与其自身的背景有相当大的关系,部分是技术上的原因,大部分则是制度或体制上的原因,公司治理不完善就是一个最重要的方面,因此,仅仅靠会计是不能从根本上解决会计信息失真问题的,而必须完善我国的公司治理结构。     

Smart work and hard work: explicating a learning orientation in strategic management accounting

This paper examines the skills and aptitudes necessary to undertake a strategic management accounting project. It argues that individuals involved in such projects are required to work both smart and hard. This argument is developed theoretically by reference to the work of educational psychologists who have identified two different types of goal orientation which people pursue in achievement situations: the learning orientation and the performance orientation. Evidence that strategic management accounting requires a learning orientation is provided by means of a case study which describes its use in a competitive tendering situation. This is followed by a discussion of the potentially symbiotic relationship of strategic management accounting and organizational learning. The discussion leads to the specification of a research agenda that may have significant implications for the practice and learning of management accounting.     

加强会计诚信建设 提高会计信息质量

会计信息是国家的宏观经济管理部门、企业经济管理部门及其他方面进行决策的依据。会计信息真实客观与否，直接影响着企业经营管理、国家宏观调控、广大股东的投资决策，势必影响市场经济的有效健康发展。从根本上建立一套与市场经济相适应的会计信息质量保障体系势在必行，而整个体系的建立和健全是一个任重而道远的过程。在这个过程中，会计诚信也成了整个市场经济发展的职业道德规范，笔者就此谈谈几点看法。     

会计监督与审计监督的不可替代性与互补性研究

会计监督与审计监督虽然同属于经济监督体系,但是又有各自独立的体系,它们在经济监督中所产生的作用有所不同。本文从企业内部的角度探讨了会计监督与审计监督的不可替代性和互补性,明确了两者的关系,才能为企业内部开展经济监督提供可靠的依据。     

试论二元经济形态下的会计模式

本文分析了在知识经济兴起的环境下我国现行会计模式存在的缺陷,并根据知识经济发展的历程以及我国目前工业经济与知识经济并存的现状,提出了一种能适应两种经济形态的兼容性会计模式,最后指出了目前实施该模式尚存在的制约因素。     

高校财务实行内部会计控制的几点思考

分析了高校实施内部会计控制的背景和存在的主要问题,表述了对高校内部会计控制的方法和关键控制点,提出了解决目前高校内部会计控制存在问题的解决方法和主要对策.     

关于实施增值税汇算清缴的探讨

现行的增值税征收方法,对年度内存货数量变化较大的一般纳税人企业来说还不够完善。该文从增值税的本质出发,对此进行了初步探讨,提出对增值税实施汇算清缴,以弥补其不足之处;同时设计了汇算清缴所需的会计处理方法和会计分录。