The directional profit efficiency measure: on why profit inefficiency is either technical or allocative

The directional distance function encompasses Shephard’s input and output distance functions and also allows nonradial projections of the assessed firm onto the frontier of the technology in a preassigned direction. However, the criteria underlying the choice of its associated directional vector are numerous. When market prices are observed and firms have a profit maximizing behavior, it seems natural to choose as the directional vector that projecting inefficient firms towards profit maximizing benchmarks. Based on that choice of directional vector, we introduce the directional profit efficiency measure and show that, in this general setting, profit inefficiency can be categorized as either technical, for firms situated within the interior of the technology, or allocative, for firms lying on the frontier. We implement and illustrate the analytical model by way of Data Envelopment Analysis techniques, and introduce the necessary optimization programs for profit inefficiency measurement.     

Modeling CRS bounded additive DEA models and characterizing their Pareto-efficient points

Dealing with weighted additive models in Data Envelopment Analysis guarantees that any projection of an inefficient unit belongs to the strong efficient frontier, among other interesting properties. Recently, constant returns to scale (CRS) range-bounded models have been introduced for defining a new additive-type efficiency measure (see Cooper et al. in J Prod Anal 35(2):85–94, 2011). This paper continues such earlier work further, considering a more general setting. In particular, we show that under free disposability of inputs and outputs, CRS bounded additive models require a double set of slacks. The second set of slacks allows us to properly characterize all the Pareto-efficient points associated to the bounded technology. We further introduce the CRS partially-bounded additive models.     

Victims' and observers' perceptions of sexual harassment: implications for employers' legal risk in North America

The way in which victims and observers perceive potentially harassing behaviours and employers' responses to sexual harassment complaints significantly affect organizations' liability risk under sexual harassment law in North America. This article examines studies in the sexual harassment literature that focus on the perceptions of sexual harassment victims and observers, and identifies legal and extra-legal factors that influence their harassment judgments. The implications of research findings for employer liability and future research are discussed.     

A cointegration analysis of seafood import demand in Caribbean countries

This article re-examines the relationship between growth in per capita income and environmental degradation using econometric techniques appropriate for smooth transition regressions with panel data. This is a more intuitive and flexible methodology than the polynomial models widely used in the literature, and it can reconcile some of the mixed results found previously. The methodology is applied to carbon dioxide emissions from nonOECD countries over the period 1971 to 1997. Although there is no evidence of environmental Kuznets curve, we find two regimes, namely a low-income regime where emissions accelerate with economic growth and a middle to high-income regime associated with a deceleration in environmental degradation.     

Determinants of the acquisition of listed versus unlisted firms in different legal and institutional environments

The aim of this article is to analyse the determinants of the decision to acquire unlisted rather than listed firms in different legal and institutional environments. We estimate a probit model considering the mergers and acquisitions (M&As) announced by European listed firms (19 countries) that acquires worldwide listed or unlisted firms (36 countries) in the period 2002–2007. Our results show that managerial opportunism is a determinant in the acquisition of listed firms, occurring with greater probability in acquiring countries with low shareholder and minority shareholder protection. Information asymmetry is another relevant determinant that promotes the acquisitions of unlisted firms. Furthermore, the less developed the capital market in the country of the acquired firm, the greater the probability of acquisitions of unlisted firms. This article contributes to the M&A literature by showing that in addition to managerial opportunism and information asymmetry, the legal and institutional environments in both the acquiring and the target countries are also relevant aspects explaining the decision of whether to acquire listed or unlisted firms.     

The accountability demand for information in China and the US – A research note

This study replicated Evans, Heiman-Hoffman and Rau’s (hereafter, EHR) [Evans, J. H., III, Heiman-Hoffman, V. B., & Rau, S. (1994). The accountability demand for information. Journal of Management Accounting Research, 6, 24–42] US study, using Chinese MBA students as participants. The Chinese students acted as owners and selected one of two control systems. One control system requires truthful reporting and the other control system permits the manager to falsify the report. The two systems have the same expected payoff to the owner if the owner believes that the manager will always lie when given the opportunity. If the owner believes that there is any probability that the manager will tell the truth, then the more Lenient System has the higher expected payoff. We compared the US versus Chinese control system choices, and examined whether the Chinese owner-participants would be willing to sacrifice wealth to get accountability. The results indicate that a significant proportion of Chinese participants do have an accountability demand for information, and that this proportion is at least as high as that of the US participants in EHR.     

Public Preferences for Hydrogen Buses: Comparing Interval Data, OLS and Quantile Regression Approaches

We use a quantile regression (QR) approach to analyse contingent valuation estimates of public willingness to pay (WTP) for the air and noise pollution reductions associated with the introduction of hydrogen buses in London. QR results show that variables that were not significant in interval regression or ordinary least squares regression become significant at certain quantiles along the WTP distribution. In addition, the determinants of WTP at the lower tail of the distribution differ from those at the higher end of the distribution. Our findings illustrate the usefulness of quantile regression methods for analysing contingent valuation data, enhancing our understanding of the determinants of willingness to pay.     

Information brokers and the use of budgetary and financial information by politicians: the case of Portugal

This paper analyses the intermediary role of the technical bodies that support the use of budgetary and financial information by central government politicians in Portugal. The main findings show that information brokers are playing a central role in preparing this information in a credible, simple and understandable way. However, even if not intentionally, the information they present can be biased. Politicians need to be aware that the information brokers they rely on may not be giving them ‘neutral’ information.     

Tax on emissions or subsidy to renewables? Evaluating the effects on the economy and on the environment

We examine the relationship between the economy and the environment in a model where production uses nonpolluting renewable and polluting nonrenewable resources. There is policy intervention through a tax on emissions and a subsidy to renewables extraction/production. Results show that both instruments are able to decrease emissions intensity of output. However, when used together, the desired effect is higher. Empirically it is shown that the subsidy achieves higher renewables intensity and although present emissions per output are similar for both instruments, the subsidy achieves lower future levels.     

Happiness, geography and the environment

In recent years, economists have been using socio-economic and socio-demographic characteristics to explain self-reported individual happiness or satisfaction with life. Using Geographical Information Systems (GIS), we employ data disaggregated at the individual and local level to show that while these variables are important, consideration of amenities such as climate, environmental and urban conditions is critical when analyzing subjective well-being. Location-specific factors are shown to have a direct impact on life satisfaction. Most importantly, however, the explanatory power of our happiness function substantially increases when the spatial variables are included, highlighting the importance of the role of the spatial dimension in determining well-being.