In Search of the Lemmus Lemmus: An Investigation into Convergent Competition

This paper explores the reasons for industries converging upon poor strategies. The phenomenon is likened to the periodic mass suicide of the lemmus lemmus (the Norwegian lemming). It gives historic examples of the phenomenon, and evidence of its occurring within a simulated business environment. A literature review shows how it can be explained using theories from economics, psychology and competitive analogies used in business. An inputs-process–outputs model provides a theoretical framework for Lemmus Lemmus strategies and is used to derive hypotheses.     

Which traits influence the frequency of plant species occurrence in urban habitat types?

Plants in cities must cope with various anthropogenic environments that differ from surrounding landscapes. Moreover, the differences in biotic and abiotic conditions among these habitats filter species with suitable traits and niche requirements. Here we aim to identify those attributes that promote species occurrence across and within urban habitat types of large cities. Species composition of spontaneously occurring vascular plant species was recorded in 1-ha plots in seven different urban habitat types in each of 32 European cities. Each species was characterized in terms of dispersal type, growth form, height, seed bank longevity, seed mass, selected leaf traits and ecological indicators including Ellenberg indicator values, Grime’s life strategies, and immigration pathways using information from available species-trait databases. For each species, total frequency of occurrence across all plots and habitat frequency of occurrence across plots of given habitat types were calculated and regression trees were used to relate them to traits and ecological indicators. The most frequently occurring species in the cities tended to be human-dispersed, nutrient-demanding plants that prefer drier to mesic soil conditions. These species do not possess the S-strategy and usually produce seeds of low mass forming short-term persistent seed banks. Habitat-specific responses were also revealed, indicating the effects of between- and within-habitat heterogeneity on trends in species performance in cities. Such patterns can be overlooked when differences in species occurrences in particular urban habitat types are not considered; thus, habitat-specific responses can resolve inconsistencies found when whole urban floras are analysed as a whole.     

Firm Ownership and Rent Sharing

In this paper we analyse—theoretically and empirically—how the degree of private versus public ownership of firms affects the degree of rent sharing between firms and their workers. Using a particularly rich linked employer-employee dataset from Portugal, covering a large number of corporate ownership changes across a wide spectrum of economic sectors over more than 20 years, we find that rent sharing is significantly higher in firms with a larger share of private ownership. Estimates from our most preferred empirical specification suggest that an increase in the private ownership share of 10 percentage points increases (on average) the rent-sharing elasticity by 0.0002. Based on a theoretical analysis that incorporates union-firm wage bargaining and efficiency wage effects within the same modelling framework, this result cannot be explained by private firms being more profit oriented than public ones. However, the result is consistent with a scenario whereby privatisation leads to less job security for workers, implying stronger efficiency wage effects.     

The behavioural wedge

When nations fail to agree, can individual citizens make a difference? The third of our post-Copenhagen features is by Jonathan Gilligan, Thomas Dietz, Gerald T. Gardner, Paul C. Stern , and Michael P. Vandenbergh . They look at the effects that voluntary actions by individuals can have, and at the policies that can best encourage such actions.     

A Second-order Adjustment to the Profile Likelihood in the Case of a Multidimensional Parameter of Interest

Inference in the presence of nuisance parameters is often carried out by using the χ²-approximation to the profile likelihood ratio statistic. However, in small samples, the accuracy of such procedures may be poor, in part because the profile likelihood does not behave as a true likelihood, in particular having a profile score bias and information bias which do not vanish. To account better for nuisance parameters, various researchers have suggested that inference be based on an additively adjusted version of the profile likelihood function. Each of these adjustments to the profile likelihood generally has the effect of reducing the bias of the associated profile score statistic. However, these adjustments are not applicable outside the specific parametric framework for which they were developed. In particular, it is often difficult or even impossible to apply them where the parameter about which inference is desired is multidimensional. In this paper, we propose a new adjustment function which leads to an adjusted profile likelihood having reduced score and information biases and is readily applicable to a general parametric framework, including the case of vector-valued parameters of interest. Examples are given to examine the performance of the new adjusted profile likelihood in small samples, and also to compare its performance with other adjusted profile likelihoods.     

Services culture: A matrix to measure diversity

Services culture differs from goods manufacturing in that customer and employee subcultures are more relevant inputs. The cultural model appears to be structurationist and bottoms-up rather than monolithic and corporate. Analogies with international business suggest adaptation of the Farmer-Richman matrix as a “culture scale” for services. The paper discusses organizational culture, services “differentness,” and the matrix. A hypothetical example drawn from the Citibank case illustrates application of the matrix to a services firm.