Discretionary Accruals and Auditor Behaviour in Code-Law Contexts: An Application to Failing Spanish Firms

This study examines the relationship between earnings management and auditor behaviour in the pre-bankrupt client segment of the Spanish audit market. As proxies for auditor behaviour, we use type of audit firm (Big N/non-Big N) and type of audit report. In contrast to the USA, audit reports in Spain often include modifications other than a going-concern opinion. This allows us to study the relationship in more detail than is possible with US data. The results of our study show that discretionary accruals are negatively related to going-concern opinions but are positively related to reports modified for reasons other than going-concern problems. However, unlike Butler et al. (Journal of Accounting and Economics, 37, pp. 139–165, 2004) the negative relationship is explained not by liquidity survival tactics but by auditor conservatism. We find this conservatism not only in the value of discretionary accruals but also in the qualifications that accompany a going concern. In these cases GAAP violations have a much greater income effect and a stronger relationship with the reversal of manipulation accumulated over the years than with the manipulation introduced during the last year. Finally, our results suggest that Big N differentiation in a code-law country is context-specific and depends on the business risk parameter of the ‘audit risk model’. In particular, for high-risk firms, Big N auditors show a significantly lower level of discretionary accruals and a greater propensity to issue a going-concern opinion.     

Nonlinear dynamics in economic modelling

Decisions in Economics and Finance -     

Measuring Corporate Environmental Performance: A Methodology for Sustainable Development

Assessing corporate environmental performance (CEP) that is both comprehensive and consistent with sustainable development both for society and companies, while at the same time taking heed of the facts and interests of each stakeholder, is not a simple feat. Due to the multidimensional character of the sustainability concept, several questions must be considered in the evaluation process: (i) the qualitative nature of indicators and the complexity of developing a synthetic index; (ii) the difficulty of choosing properly statistical techniques for aggregation and (iii) the difficulty of introducing stakeholders’ preferences in the assessment models. This paper is an attempt to address this challenge by developing a framework for the assessment of CEP, based on the application of a fuzzy multi‐criterion decision‐making (MCDM) method. To achieve positive scores in a CEP assessment, an organization should be strategically committed and engage in environmental management and governance structures that are translated into good results in terms of both engagement and operational performance. Unless such premises are explicitly incorporated into the assessment criteria, the results would reveal that the CEP measurement could not be brought into a line with an earnest ambition of achieving true sustainable development. Copyright © 2015 John Wiley & Sons, Ltd and ERP Environment     

Learning organization at higher education institutions in the EU: proposal for implementing philosophy of learning organization—results from research

Quality & Quantity - For an organization to develop, to improve, and to innovate in this information age, it requires a management system that will maximize use of human potential that it has...     

Will India Be the Next China? Challenges,Prospects and Implications for Australia

India's recent growth performance has been impressive and it appears set to again become a major global economic power. But, sustaining this growth poses formidable challenges. Australia stands to gain much from India's growth. In this article, we review recent developments in the Indian economy, identify policy challenges and discuss short‐to‐medium term prospects, noting some of the main similarities and differences between China and India. Then, we look at opportunities for significant growth in Australian–Indian economic links and policy implications including the possible role of a free trade agreement.     

Autocorrelation and masked heterogeneity in panel data models estimated by maximum likelihood

In a panel data model with random effects, when autocorrelation in the error is considered, (Gaussian) maximum likelihood estimation produces a dramatically large number of corner solutions: the variance of the random effect appears (incorrectly) to be zero, and a larger autocorrelation is (incorrectly) assigned to the idiosyncratic component. Thus heterogeneity could (incorrectly) be lost in applications to panel data with customarily available time dimension, even in a correctly specified model. The problem occurs in linear as well as nonlinear models. This article aims at pointing out how serious this problem can be (largely neglected by the panel data literature). A set of Monte Carlo experiments is conducted to highlight its relevance, and we explain this unpleasant effect showing that, along a direction, the expected log-likelihood is nearly flat.     

Patient intensity in an ambulatory oncology research center: A step forward for the field of ambulatory care--Part II

Nursing leaders in ambulatory care need to objectively quantify patient intensity to balance patient care needs and nursing resources. In this three-part series, current literature on acuity/intensity tools will be reviewed, and the development of an Ambulatory Intensity System (AIS) to objectively quantify nursing care will be described. In this article, the ongoing implementation of the system, its incorporation into the organization's established computerized appointment system, reliability measures, and related performance improvement activities will be discussed.     

Asymmetries and interdependencies in time use between Italian parents

In recent decades, changes in parents’ attitudes towards the importance of spending time with children to optimize their future behaviour and cognitive development have greatly affected patterns of time allocation among both working and nonworking parents in all developed countries. We compare the two waves of the Italian Time Use dataset (1988 and 2002) to analyse how family time allocation changed over time in a country that was undergoing a marked increase in female employment rate and a continuous decline in total fertility rate. We focus especially on how parents’ time with their children depends on their employment status and household characteristics. Using a simultaneous sequential approach, we consider links among the different time uses of individuals and correlations with spouses’ decisions. We find that wives’ time at work time strongly influences the time spent by both spouses with their children in 2002, but not in 1988. Fathers were much more involved in childcare and rearing in 2002 than in 1988. In general, as women's work time increased, substitutes for their childcare time were found within the household (fathers or other co-resident adults).     

Analysing the risk premium in the Italian stock market: ARCH-M models versus non-parametric models

This Paper investigates the variability of the risk premium in the Italian stock market, over the period 1978–89. We have modelled voatility using two different approaches: ARCH-M models and non-parametric models. The estimate of the ARCH-M models confirm the existence of both an ARCH process in the variance and a time-varying risk premium. Also the non-parametric specification confirms the existence of a time varying risk premium. Moreover in both models the acceleration in the inflation rate has a negative effect on stock prices.