Research into Quality Management and Social Responsibility

This article presents a systematic literature review on quality management and social responsibility (focusing on ethical and social issues). It uses the literature review to identify the parallels between quality management and social responsibility, the extent to which qualitative, quantitative and mixed methods are used, the countries that have contributed most to this area, and how the most common quality management practices facilitate social responsibility. The literature review covers articles about quality management and social responsibility (focusing on ethical and social categories) based on a computer search in three databases, namely ABI Inform, Emerald and Science Direct, and includes articles dealing with the subject that were found in the lists of references of the articles found in the primary search, as well as a search in six top management journals. The results show (1) the journals most likely to publish this type of article; (2) the range of qualitative, quantitative and mixed methods used; (3) the most productive countries in this field; (4) the parallels between quality management and social responsibility; and (5) how the most common quality management practices facilitate ethical behaviour and social aspects.     

Status Quo and Potential of XBRL for Business and Information Systems Engineering

The paper examines the current state of research as regards the eXtensible Business Reporting Language (XBRL) by using the literature review methodology. The results show that an empirical-quantitative research design is used most of the time. The contributions vary in substance in terms of research on XBRL and research with XBRL. Research with XBRL focuses on the development of conceptual XBRL extensions. Work on XBRL considers, for example, the changes in reporting as a result of XBRL as well as the acceptance and enforcement of financial reporting standards. The results point to open issues and are relevant for research and practice.     

Production risk,risk aversion and the determination of risk attitudes among Spanish rice producers

Agricultural production is subject to risk and the attitudes of producers toward risk will influence input choices insofar as these affect production risk. Risk attitudes in turn may be affected by certain socioeconomic characteristics of producers. Using 2004 survey data from a cross‐section of 130 Spanish rice farms, we estimate risk‐aversion coefficients of farmers and investigate the influence of a series of socioeconomic variables on their risk attitudes. Our results show that farmers exhibit risk‐averse behavior and that risk attitudes are related to a series of socioeconomic characteristics. In particular, the belief that the farm will continue after the producer retires is found to increase the degree of risk aversion, while age is found to have nonlinear effects on risk aversion. Off‐farm income, especially from nonagricultural activities, is found to reduce risk aversion. Neither the educational level of the producer nor the presence of dependents on the household is found to have an effect on risk preferences. Regarding the production technology, we find that land, labor, and fitosanitary products are risk‐reducing inputs, whereas capital, seeds, and fertilizer all increase risk.     

A cliometric analysis of the Aldo Moro kidnapping and assassination

In Rome, on 16 March 1978, the Red Brigades kidnapped Aldo Moro. They kept him a prisoner for 55 days, and ultimately killed him. Why did they decide to kill Moro since it appears a posteriori that they did not improve their situation by doing so? Our paper answers this question by building mainly on the model of kidnapping by Selten (A simple game model of kidnapping. In: Henn R, Moeschlin O (eds) Mathematical economics and game theory. Lecture Notes in Economics and Mathematical Systems, vol. 141. Springer, Berlin, pp 139–156, 1977). We develop an integrated game-theoretic model that reliably captures both the problem of kidnapping for some sort of non-monetary ransom and the problem of assassination of prominent political figures. We embed our model within the historical evidence surrounding the Moro case. We show that, in the Moro case, there is a continuum of equilibria implying the death of the hostage.     

Optimal taxation and growth with public goods and costly enforcement

This paper studies optimal direct and indirect taxation in an endogenous growth framework with a productive public good and costly tax collection. Optimal (growth-maximizing) tax rules are derived under exogenous collection costs. The optimal direct–indirect tax ratio is shown to be negatively related to the administrative costs of collecting these taxes, as documented in cross-country data. This result also holds under endogenous collection costs (with these costs inversely related to administrative spending on tax enforcement), but for these to generate significant effects on tax collection requires implausibly high degrees of efficiency in spending, or the allocation of a large fraction of resources to tax enforcement. Depending on how it is financed, the latter policy may entail adverse effects on growth. Improving ‘tax culture’ and the sense of civic duty through greater budgetary transparency may be a more effective policy to improve tax collection and promote economic growth.     

Introducing Environmental Variables in Nonparametric Frontier Models: a Probabilistic Approach

This paper proposes a general formulation of a nonparametric frontier model introducing external environmental factors that might influence the production process but are neither inputs nor outputs under the control of the producer. A representation is proposed in terms of a probabilistic model which defines the data generating process. Our approach extends the basic ideas from Cazals et al. (2002) to the full multivariate case. We introduce the concepts of conditional efficiency measure and of conditional efficiency measure of order-m. Afterwards we suggest a practical way for computing the nonparametric estimators. Finally, a simple methodology to investigate the influence of these external factors on the production process is proposed. Numerical illustrations through some simulated examples and through a real data set on Mutual Funds show the usefulness of the approach.JEL Classification: C13, C14, D20     

Interest rate rules, inflation and the Taylor principle: an analytical exploration

Summary. The purpose of this article is to characterize optimal interest rate rules in the framework of a dynamic stochastic general equilibrium model, and notably to scrutinize the “Taylor principle”, according to which the nominal interest rate should respond more than one for one to inflation. This model yields explicit solutions for the optimal rule. We find that the elasticity of response depends on numerous factors, such as the degree of price rigidity, the autocorrelation of the underlying shocks, or which measure of inflation is used. In general the optimal elasticity of the interest rate with respect to inflation needs not be greater than one.Received: 6 November 2003, Revised: 17 August 2004 JEL Classification Numbers: E5, E52, E58.J.-P. Bénassy: I wish to thank Daniel Laskar and an anonymous referee for their perceptive comments on earlier drafts of this paper. Of course all remaining deficiencies are mine.     

Organizing women for combat: The experience of the FARC in the Colombian war

The FARC, which used to be Colombia's main guerrilla force and is now in the midst of a peace process, was to a great extent a feminized group. This paper discusses why it recruited so many women, and why it recruited them as combatants. We suggest that only when the FARC adopted a highly hierarchical, self‐contained, and militaristic organizational blueprint did it get involved in the massive recruitment of women as combatants. We discuss the way in which organizational mechanisms and ideology interacted to produce such an outcome, and how this interaction marked both the organization and the trajectories of the women who joined it.     

State‐contingent analysis of farmers’ response to weather variability: irrigated dairy farming in the Murray Valley,Australia

The agricultural sector is commonly regarded as one of the most vulnerable to climate change. Current understanding of the impact of climate change on this sector relies on the underlying assumptions about farmers’ possible responses to weather variability, including changes in crop choice, input combinations and land management practices. Many previous analyses rely on the implicit (and restrictive) assumption that farmers operate under a fixed technology set across different states of nature. This assumption, represented through stochastic production or profit functions, is commonly made but seldom tested and may understate farmers’ responses to climate change if state‐contingent production technologies are, in reality, more flexible. The potential for farmers to adapt production technologies in response to unforeseen events is at the core of the state‐contingent approach. Advanced in Chambers and Quiggin (2000), the theory contends that producers can manage uncertainty through the allocation of productive inputs to different states of nature. In this article, we test the assumption that farmers’ observed behaviour is consistent with the state‐contingent production theory using farm‐level data from Australia. More precisely, we estimate the milk production technology for a sample of irrigated dairy farms from the southern Murray–Darling Basin over the period from 2006–2007 to 2009–2010.