中国农民工供给态势与“十二五”时期走向

我国农村劳动力转移已进入总体上仍然过剩,但结构性供求矛盾开始突出,农村劳动力供求关系正从长期供过于求转向总量过剩,结构短缺的新阶段。促进农村劳动力转移仍将是我国中长期的重要任务。十二五以及更长时间内,要做好劳动力转移工作,必须把产业结构优化调整放在重要的位置,坚持发展服务业,有序积极推进农民工市民化工作,进一步增加对农村居民培训的投入,提高农村劳动力的受教育程度和技能水平,进而促进社会和谐发展。     

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.     

Disaggregating and reaggregating work: Workers,management and the struggle over creating coherency and purpose in a context of work degradation

The article argues that whilst there is a growing sense of degradation and worsening conditions (disaggregation) of work in the cleaning sector in general, there are some important contradictions which require complex organisational responses. In the main, there is a growing sense of isolation in this work, yet also a growing perception of autonomy and workers having to use discretion in new and challenging ways. This article focuses on these issues and management responses to reaggregate the nature of such work, creating new forms of identity and activities intended to enhance (or address) the levels of stability and sustainability at work as well as in operational processes. This management conundrum means that they need to deal with a range of job‐related, skill‐oriented worker learning and also representation issues. These responses bring to the fore the contested nature of such forms of work and how they are changing.     

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     

Influence of Social Media over the Stock Market

This research analyzes investors’ activity through social media and these media's influence over the Chicago Board Options Exchange Market Volatility Index (VIX) using a logit model and a fuzzy‐set qualitative comparative analysis (fsQCA). The logit results show that social media sentiment influences stock markets. Meanwhile, the fsQCA results show that the investors’ profile is important for explaining how social media influence the stock market. Particularly, holding period combined with experience in technical investors contributes to avoiding a raise in market risk, whereas for nontechnical investors message sentiment and experience form the combination that contributes to avoid a raise in market risk.     

Assessing ethical behaviours in the Spanish banking and insurance industries: evidence and challenges

This study aims to improve understanding of the ethical nature of the relations in two labour-intensive industries to facilitate the creation of an ethical culture. For this purpose, the authors first review literature related to the main influences on ethical behaviour, then perform an empirical analysis of those factors using a hierarchical stepwise regression of a database of 525 banking and insurance employees. Contrary to expectations, leadership has a less important effect on ethical behaviour than other organizational factors. The results reveal several implications for improving the management of ethical behaviour in these industries.     

Speed of Issuance,Lender Specialization,and the Rise of the 144A Debt Market

Using a large sample of convertible and straight debt issues in the public, 144A, and bank loan markets from 1991 to 2004, we find that the 144A market has risen largely at the expense of the nonshelf public market, the overwhelming majority of the 144A issues are subsequently registered, and straight debt issuers with the highest credit quality and transparency tend to use the shelf public market. Our findings suggest that firms’ preference for speed of issuance drives the growth of the 144A market, and banks and qualified institutional buyers have advantages over public lenders in handling credit risk and information asymmetry.     

Computing DSGE models with recursive preferences and stochastic volatility

This paper compares different solution methods for computing the equilibrium of dynamic stochastic general equilibrium (DSGE) models with recursive preferences such as those in Epstein and Zin, 1989, Epstein and Zin, 1991 and stochastic volatility. Models with these two features have recently become popular, but we know little about the best ways to implement them numerically. To fill this gap, we solve the stochastic neoclassical growth model with recursive preferences and stochastic volatility using four different approaches: second- and third-order perturbation, Chebyshev polynomials, and value function iteration. We document the performance of the methods in terms of computing time, implementation complexity, and accuracy. Our main finding is that perturbations are competitive in terms of accuracy with Chebyshev polynomials and value function iteration while being several orders of magnitude faster to run. Therefore, we conclude that perturbation methods are an attractive approach for computing this class of problems.     

Graph efficiency and productivity measures: an application to US agriculture

Hyperbolic measures of efficiency and productivity change with respect to a graph representation of production technology allow researchers to consider output and input dimensions simultaneously in measuring producer performance. Hyperbolic efficiency measures have been proposed, but empirical implementation has not followed, either in efficiency analysis or in productivity analysis. The objectives of this paper are to define hyperbolic performance measures on a graph representation of production technology, to motivate their use by stating some of their advantages over their radial counterparts, and to introduce a direct formulation to calculate them making use of Data Envelopment Analysis techniques. The ideas are illustrated by calculating hyperbolic efficiency and Malmquist productivity indexes for a US agricultural panel data set.