Banking regulation,regulatory capture and inequality

Public Choice - Regulation of the banking and finance industry may lead to a more equal distribution of income if regulators pursue goals in the public interest. Alternatively, the economic theory...     

Government Promotion of Corporate Social Responsibility: Evidence from the EU Eco‐Management and Audit Scheme

Governments play an active role in promoting corporate social responsibility and specifically environmental management system (EMS) programs, but few studies have examined the impact of such support on the decision of businesses to adopt EMS programs. We ask two questions in this paper: how does government support for EMS programs affect adoption of such programs? Second, what effect does this government support have on the pace of adoption of such programs? The answer to the first question can reveal how effective government programs are in boosting membership in EMS programs. The answer to the second reveals to what extent businesses within EU member states are converging upon particular EMS standards. We examine these questions in the context of the European Union’s Eco‐Management and Audit Scheme (EMAS), 2010–2014. There is significant variation in government support of EMAS across the EU and at the same time, EMAS competes for business attention with the more established ISO 14001. Our quantitative and qualitative analyses therefore reveal the effectiveness of government programs in boosting adoption, but also to the extent to which such programs cause convergence upon EMAS in the face of a competing standard such as ISO 14001.     

Hybrid Strategies: The American Experience

The United States has never followed only one grand strategy at a time. In this article, I develop the concept of “hybrid” grand strategies—strategies that vary by time and place, and combine the advantages (or disadvantages) of pure strategic archetypes such as containment, integration, regime change, bargaining, or non-intervention. I argue that hybrid strategies have been ubiquitous in American history, varying more by emphasis and degree than by absolute contrast. Moreover, U.S. hybrid strategies have often succeeded in accomplishing their major goals.     

The decomposition of rabbit carcasses and associated necrophagous Diptera in Kuwait

Rabbit carcasses were used to compare rates of decomposition and associated assemblages of Diptera at four discernable habitat types in Kuwait; a country of a region with a paucity of such reference data. Carcasses in an urban habitat showed faster decomposition (as measured by percentage weight loss) than in agricultural, coastal or desert habitats, even with accumulated degree days (ADD) as the explanatory variable (t=2.73, df=34, p=0.010) to compensate for temperature differences. Taxa of Diptera at the four habitats became more similar as decomposition progressed, suggesting such differences between habitats were not marked. The occurrence of Chrysomyia megacephala and Lucilia sericata had not previously been recorded in Kuwait.     

The fallacy of the two-minute acid phosphatase cut off

Research was carried out to determine whether the likelihood of obtaining a positive Acid Phosphatase (AP) test result is affected by the make and type of paper used. Also, we aimed to investigate the frequency of AP positive reactions occurring after 2min using a series of known semen dilutions and to determine whether spermatozoa transfer onto the paper during the act of AP screening. In this research, most brands of paper tested were able to detect a 1 in 40 semen dilution within 2min. Leaving AP test papers for longer will allow the detection of greater dilutions of semen and as the amount of ejaculation is not reliably known in most casework situations and levels of AP activity can vary in different men, this will increase the seminal detection rate in sexual offence allegations.     

The Problem of Predictability: Unstable Systems, Traffic Dividers and Arms Races

Social scientists seem to do a good job predicting some major events in history and spectacularly poor job with others. This paper is concerned with the puzzle that this poses. It investigates systems of interaction and suggests that, in principle, some criteria can be established to aid our intuitions about what might and might not be predictable. It differs from the more usual approaches which tend to treat history in monolithic terms. Instead it examines a simple concrete model of processes like economic growth and coalition formation.     

Locus of control and sex offenders with an intellectual disability

Locus of control has been implicated as an important construct that is related to treatment outcome for several groups of offenders, including sexual offenders. However, little attention has been paid to how this construct is related to sexual offending by people with intellectual disabilities. Given this, 41 participants with intellectual disabilities were recruited into three groups: sex offenders who had undergone psychological treatment, sex offenders who had no history of treatment, and nonoffenders. All participants completed measures of locus of control and distorted cognitions. There was a significant difference between those who had and had not completed treatment in terms of cognitive distortions relating to sexual offending. There was no significant difference between the three groups on the measure of locus of control, with all three groups endorsing an external locus of control. Three possible explanations for how locus of control relates to sexual offending by people with intellectual disabilities is explored and discussed.     

Forecasting the 2005 General Election: A Neural Network Approach

Although neural networks are increasingly used in a variety of disciplines there are few applications in political science. Approaches to electoral forecasting traditionally employ some form of linear regression modelling. By contrast, neural networks offer the opportunity to consider also the non-linear aspects of the process, promising a better performance, efficacy and flexibility. The initial development of this approach preceded the 2001 general election and models correctly predicted a Labour victory. The original data used for training and testing the network were based on the responses of two experts to a set of questions covering each general election held since 1835 up to 1997. To bring the model up to date, 2001 election data were added to the training set and two separate neural networks were trained using the views of our original two experts. To generate a forecast for the forthcoming general election, answers to the same questions about the performance of parties during the current parliament, obtained from a further 35 expert respondents, were offered to the neural networks. Both models, with slightly different probabilities, forecast another Labour victory. Modelling electoral forecasts using neural networks is at an early stage of development but the method is to be adapted to forecast party shares in local council elections. The greater frequency of such elections will offer better opportunities for training and testing the neural networks.