Estimating the Costs of Protecting Native Species from Invasive Animal Pests in New South Wales,Australia

Invasive animal pests reduce crop and livestock output, require management and control measures, and threaten native plants, animals and their habitat. The agricultural and management costs are often directly measurable. But the costs to protect threatened native plants and animals are harder to assess. The Rural Lands Protection Boards were the government agency in New South Wales that managed invasive animals. An analysis of their decisions provided the opportunity to estimate the costs of protecting native species. The number of native plants and animals threatened by invasive pests was modelled against the expenditure, area, pest abundance, climate and location of 38 Board districts. There was a strong negative relationship between the number of threatened native species and Board expenditure. This relationship was interpreted to estimate the marginal cost of protecting a threatened native species, the downward shift in the supply curve necessary to protect all threatened native species, and the gains from the shift in the form of cost savings in the continued protection of non-threatened native species. These results value some of the costs that invasive animal pests impose on the environment.     

Emerging Market Multinationals: Coopetition for Global Growth

Since the dramatic geopolitical shift toward liberalization in the last century, emerging‐market multinational enterprises (EMNEs) have become major players in global markets and continue to account for an increasing share of global foreign direct investment (FDI) flows. Given this trend, the questions of how and why EMNEs pursue FDI deserve greater attention. This article builds on recent work that uses resource dependence theory (RDT) to explain EMNE internationalization strategies. We propose that EMNEs, while often resource deficient relative to their developed‐market competitors and, therefore, more dependent on others in the external environment, are uniquely positioned to overcome these deficiencies over time through simultaneous cooperation and competition—coopetition—with their global rivals and host‐ and home‐country governments. These propositions contribute to the EMNE internationalization literature by more fully incorporating RDT into current theories of internationalization, highlighting the importance of managing dependencies over time to maximize global growth. © 2015 Wiley Periodicals, Inc.     

A diffusion model with application to evolving medical technologies

This paper reports on a system dynamics simulation model which was developed to study the diffusion of medical technologies but which should be applicable to other sorts of technologies as well. The model addresses both the adoption and the changing extent of use of an evolving, product-based technology and also endogenously accounts for changes in actual and perceived performance. Two specific medical case studies provide background to the model and are used for testing the model's ability to reproduce various aspects of historical behavior. The model's relatively complex structure is presented in the form of influence diagrams showing major flows and relationships. The paper concludes with a discussion of contributions and possible future uses and modifications of the model.     

On a family of data-based transformed models useful in forecasting technological substitutions

This paper examines, via real data, some well known models for technology substitution analysis. We propose a family of data-based transformed models that will include the models under examination as special cases. The basic thrust of the paper is the recognition that for technology substitution analysis, the observations are time series data and hence are not independent. Also, the functional form of the model should be determined by both theoretical considerations as well as the data on hand. This suggests that the traditional ordinary least squares procedure used in estimating the parameters and the resulting forecasting procedures are not adequate. The existing models examined here are Fisher–Pry, Gompertz, Weibull, and Normal. We stress the statistical aspects of the models and their relative merits in terms of predictive power. The criteria used for the purpose of comparison are the mean squared deviation and the mean absolute deviation of the predicted values compared with the actual observations.     

Managers’ psychological diversity climate and fairness: The utility and importance of diversity management in the hospitality industry

ABSTRACT

Despite corporate investments in diversity management programs, there is a dearth in the literature that examines managers' attitudes toward diversity management practices. This is a glaring gap in the literature because the success of diversity management programs is highly depend on managers. A survey was distributed to hotel managers from properties in the southern United States. The results showed that psychological diversity climate predicted the perceived utility and importance of diversity management, and these relationships were mediated by the fairness of diversity management. These results suggest that psychological diversity climate has an impact on attitudes toward diversity management practices.     

Stochastic efficiency analysis with risk aversion bounds: a correction

A recent paper by Hardaker et al. (The Australian Journal of Agricultural and Resource Economics, 48, 2004a, 253) and book by Hardaker et al. (Coping with Risk in Agriculture, 2004b) describe a procedure for determining an efficient set from among a set of random alternatives. This procedure, called stochastic efficiency with respect to a function (SERF), is claimed to make the same assumption concerning the risk aversion measures as does stochastic dominance with respect to a function (SDRF). This is claim is incorrect. SERF imposes an additional requirement on the risk aversion measures of the decision makers. Both procedures assume a lower and an upper bound on risk aversion, but SERF also assumes that all risk aversion measures are of the same functional form as these lower and upper bound functions. This additional strong requirement on risk preferences implies that the efficient set identified under SERF is usually smaller than that identified using SDRF.     

Cleanliness and consumption: exploring material and social structuring of domestic cleaning practices

In line with increasing international trends of energy efficient devices on the market and in households, domestic consumption of water and energy should be decreasing. However in Sweden, domestic per capita water consumption is not decreasing rapidly and energy consumption is actually increasing. This suggests that physical contexts are not the only factor shaping resource demand. People are also influenced by collective conventions; what we think is normal has a significant say in what we do, and the resources we consume in the course of everyday life. This paper explores the way context shapes what people do from both a material infrastructures and social infrastructures perspective, using cleanliness in Sweden as a case study. First, material infrastructures in Sweden are mapped, including device ownership, water, energy and time consumed related to cleanliness. Second, qualitative interviews with Swedish people aim to show the social structuring of cleanliness. Understanding the interplay between physical and social structures has potential implications for decreasing resource intensity in everyday life.