Blue Flag or Red Herring: Do beach awards encourage the public to visit beaches?

Surveys of beach visitor motivation in Ireland, Wales, Turkey and the USA indicate that beach awards play an insignificant role in motivation to visit beaches. However, a number of criteria closely identified with awards, notably cleanliness and water quality, are revealed to be very important. Aesthetic and emotional factors such as scenic setting and general ambience, and practical concerns such as proximity and range of activities available are much more important than beach awards in attracting visitors to beaches. The merits of beach awards are critically reviewed and it is concluded that any benefits that might accrue are in areas other than attracting visitors.     

The dynamics of responder behavior in ultimatum games: a meta-study

Using data aggregated from seven papers that study repeated play in standard ultimatum games with either stranger or absolute stranger matching, we show that the behavior of responders changes with experience. High offers are more likely to be accepted with experience and low offers are more likely to be rejected. At the individual level, there is a negative relationship between the likelihood that a given offer is accepted and the size of the preceding offer. We compare the results with predictions generated by static models of distributional preferences, implicitly dynamic models of preferences with reciprocity, and explicitly dynamic models of adaptive learning. The data is most consistent with models of preferences with reciprocity.     

Project Management of Production Line Automation: A Comparative Analysis of Project Management in Brazil and Colombia

This article aims to evaluate the production line automation projects developed by Brazilian and Colombian companies from the Project Management perspective, through the analysis of the application degree of PMBOK processes, to understand how formal techniques are being employed in these countries and also to identify improvement opportunities, when necessary. Data were collected through a survey. The similarity index between the ten processes, with the highest application degree in the Brazilian and Colombian samples, was 70%. For the processes with the lowest application degree, the similarity index was 60%. No similar study was found in the literature.     

Cointegration analysis and the UK demand for nitrogen fertilizer

Nitrogen fertilizer taxes have been proposed as a means of controlling agricultural ‘over-production’ and nitrate pollution of water courses in the EC. This paper constructs time-series models of fertilizer demand which provide quantitative information relevant to this issue. Time-series data on the use of nitrogen fertilizer in UK agriculture is found to have a unit root with non-zero drift coupled with a one-time change in drift after testing against the alternative hypothesis that the process is trend-stationary with a break in trend. The stochastic component of the nitrogen use series is cointegrated with the ratio of the price of nitrogen fertilizer to the price of agricultural output. Appropriate error correction models are estimated. Both the short-run and long-run price elasticities of the response of nitrogen use are found to be rather low. Some brief policy conclusions are drawn.     

Predictive spatial network analysis for high-resolution transport modeling,applied to cyclist flows,mode choice,and targeting investment

Betweenness is a measure long used in spatial network analysis (SpNA) to predict flows of pedestrians and vehicles, and more recently in public health research. We improve on this approach with a methodology for combining multiple betweenness computations using cross-validated ridge regression to create wide-scale, high-resolution transport models. This enables computationally efficient calibration of distance decay, agglomeration effects, and multiple trip purposes. Together with minimization of the Geoffrey E. Havers (GEH) statistic commonly used to evaluate transport models, this bridges a gap between SpNA and mainstream transport modeling practice. The methodology is demonstrated using models of bicycle transport, where the higher resolution of the SpNA models compared to mainstream (four-step) models is of particular use. Additional models are developed incorporating heterogeneous user preferences (cyclist aversion to motor traffic). Based on network shape and flow data alone the best model gives reasonable correlation against cyclist flows on individual links, weighted to optimize GEH (r² = 0.78, GEH = 1.9). As SpNA models use a single step rather than four, and can be based on flow data alone rather than demographics and surveys, the cost of calibration is lower, ensuring suitability for small-scale infrastructure projects as well as large-scale studies.     

A new contract for welfare: partnership in pensions

The government's Green Paper proposes reducing state pension costs whilst encouraging private sector provision. The success of the proposed ‘stakeholder pension schemes’ depends on regulation. However, regulation can penalise those it is intended to protect. This is a sensitive issue, since stakeholder pension schemes are expected to attract financially vulnerable, lower paid, employees. Whilst the flat rate accrual of the state second pension confers some benefit, certain groups are put in a difficult position by the retention of means-tested benefits.