Time,congestion, and public goods

This paper considers intermediate and final public goods as stocks from which consumers obtain a flow of services by expending scarce time. The services so obtained depend on the time other individuals spend utilizing these same goods. Optimality conditions are derived for both stock levels and flow usage where tolls are required to cover costs. The elasticities in the resulting formulae are endogenous in the sense that only certain values are permissible. In the intermediate good case, at the optimum, the public good will always be locally optimally supplied and locally underutilized to a degree which depends on the congestion parameter.     

Institutional evolution as an emerging focus in scenario planning

In this paper, we argue that institutional evolution should occupy a center stage in scenario development. During the last two decades, strategy models have neglected the institutional milieu, partly because analytical approaches to link institutional milieus and business contexts were underdeveloped. However, theoretical developments in institutional economics accomplished during this time period make it possible to connect the consequences of institutional evolution to strategy development. Further, with the increasing globalization of commerce, and the attendant complexity and turbulence in institutional evolution, particularly in emerging economies, significant opportunities for strategy related action may reside not in product markets but in institutional arenas. Institution-focused scenarios are therefore increasingly needed. We outline the key linkages between the institutional milieu and business contexts and illustrate how scenarios incorporating institutional parameters can shed light on the strategy context in the case of emerging economies.     

Beyond concern: socio-demographic and attitudinal influences on privacy and disclosure choices

ABSTRACT

The co-option of consumers as unwilling agents in their own surveillance has enabled significant abuses of consumer privacy. Previous studies have largely used privacy concern as a proxy for overall privacy attitudes. In this study, we implement a choice experiment in combination with measures adapted from Communication Privacy Management theory to enable a broader exploration of the influences of privacy attitudes by contextualising privacy as a negotiation about accessibility over contextual boundaries. Key findings suggest individuals’ social media disclosure decisions are influenced at least in part by their privacy attitudes, particularly with respect to information categories which may cue other personal information. Findings are also presented on consumers’ willingness to pay for privacy, with implications for alternative revenue streams not built on consumer surveillance.     

应客观看待中国因素对油价的影响

【美国《华尔街日报》6月9日】美国前总统布什（Gegrge W．Bush）的一位助手几年前曾说，“我们创造自己的现实”。拿这句话来形容华盛顿和北京目前对大宗商品市场的影响是再恰当不过了。     

Requests for zoo visitors to undertake pro-wildlife behaviour: How many is too many?

Recognising the potential conservation impact, zoos regularly ask their visitors to undertake pro-wildlife behaviour. This paper presents the results of two studies undertaken to address the question: how often during a visit should visitors be asked? Study 1 sought to a) determine individuals' personal thresholds and b) the point where the number of different behaviours requested began affect visitors' experiences. Study 2 sought the same, but focused on requests for the same behaviour. Results suggest that few respondents' personal thresholds were crossed (2.5% in Study 1 and 9% in Study 2). In neither study did many respondents (2.5% in Study 1 and 2.8% in Study 2) feel that the number of requests negatively affect their overall zoo experience. While there are caveats, we conclude that there appears little cause for concern about asking zoo visitors on multiple occasions to act in support of wildlife. Indeed, such requests may improve experiences.     

Interpretation problems of the partial correlation with nonnormally distributed variables

The partial correlation is a commonly used measure for assessing the bivariate correlation of two quantitative variables after eliminating the influence of one or more other variables. The partial correlation is generally interpreted as the correlation that would result if the variables to be eliminated were fixed (not allowed to vary and influence the other variables), which is referred to in the statistical literature as conditional correlation. The present paper demonstrates, by means of theoretical derivations and practical examples, that when the assumption of multivariate normality is violated (e.g., as a result of nonlinear relationships among the variables investigated) the usual interpretation of the partial correlation coefficient will be basically incorrect. In extreme cases the value of the partial correlation coefficient may be strongly positive, close to 1, whereas the conditional correlation may have a large negative value. To solve this problem the paper suggests to partial out a certain function (in most cases the square) of the variables whose effects are to be eliminated if nonlinear relationships are likely to occur.     

A cross-national comparison and taxonomy of DEA-based hospital efficiency studies

This paper provides the first taxonomy of hospital efficiency studies that uses data envelopment analysis (DEA) and related techniques. We provide a systematic review of 79 such studies published from 1984–2004 that represent 12 countries. Only studies written in English are considered. A cross-national comparison reveals significant differences with respect to important study characteristics such as type of DEA model selected and choice of input and output categories. Compared with US studies, European efforts are more likely to measure allocative rather than technical efficiency, use longitudinal data, and use fewer observations. We take a longitudinal perspective that illustrates the life cycle of this research, as well as its diffusion across disciplines. Our taxonomy can be used by policy makers and researchers to review past, and assemble new, DEA models.     

The extent to which unbalanced schedules cause distortions in sports league tables

The Australian Football League (AFL) has operated its fixture on the basis of an unbalanced schedule since the league expanded from 12 to 14 teams in 1987. This system contains a number of factors (some random) determining the set of bilateral combinations of teams that play each other on an extra occasion during the course of the season, not least of all maximising attendances. While the status quo may be unavoidable to some extent (it is also a bone of contention to many fans), its implications for within-season measures of competitive balance are nonetheless obvious. This is because of the potential for biases being created in the end-of-season league table as a result of the unbalanced schedule. This paper uses a modified model to correct for this inherent bias over the seasons 1997–2008, and the results are discussed in detail. The model is also generalisable to many unbalanced schedule designs observed in professional sports leagues worldwide.     

Mechanical innovation in the industrial revolution: the case of plough design

Variations in levels of embodied technology generated variations in English plough prices in 1770. Using plough prices as a quality index, this article explains size and daily output of plough teams. It shows that variations in plough technology were due to technological change—not static optimization—and village plough technology was influenced by neighbouring villages. But technological advance was not constrained on the demand size: farmers purchased the best ploughs available. Rather, local supply of technology was the limiting factor. Technological change, urbanization, and information networks are rejected as explanations of local supply of technology. The key factor was market density.