An empirical investigation into the gravitation and convergence of industry return rates in OECD countries

Tests are offered for the hypotheses that sectoral average profit rates and incremental return rates are gravitating around or converging towards a common value. We study data for various OECD countries relying on an econometric method able to account for residual autocorrelation and cross‐sector correlation. Our null hypotheses receive only a mixed empirical support. This is interpreted as the result of various kinds of limitations to capital mobility. Policy implications are discussed.     

Measurement of organizational investments in social capital: The service employee perspective

This paper describes the development and validation of a measure of organizational investments in social capital (OISC). The scale development process is carried out over three stages (item generation, scale purification, scale validation), with two separate data collection phases involving a total of 735 working adults from multiple and diverse service-related workplace settings. As such, the data provide evidence for the face, content, discriminant, convergent and nomological validity, dimensionality and reliability of the OISC measure. The OISC measure is a concise, unidimensional scale that has the potential for significant usage in the development and testing of theory, as well as practical application in retail and other service provision contexts.     

An empirical analysis of green supply chain management in the German automotive industry

The purpose of this paper is the empirical investigation of the status quo of green supply chain management in the German automotive industry from a practitioner's point of view. Several aspects of green supply chain management, such as the point of time of implementation, the driving forces, the relevance of intended goals and their particular realization and the adoption of eco‐programs with suppliers and customers as well as internal and external barriers are analyzed. Furthermore, the link to different performance criteria is tested by inductive statistics in order to show the potential of green supply chain management for competitiveness. For this study, managers from the automotive supply industry in Germany were asked about their estimations in this regard. The main conclusion is that managers express the need for green supply chain management on the one hand but also see corresponding problems in terms of required resources on the other hand. Furthermore, the analyses show that green supply chain management leads to higher performance in terms of several performance criteria. Copyright © 2009 John Wiley & Sons, Ltd and ERP Environment.     

Corporate Taxation of Heterogeneous Firms and the Welfare Effects of Labour Unions

This paper examines the welfare effects of powerful labour unions when the government levies a uniform tax rate – as is currently the case in most OECD countries – and firms are heterogeneous with respect to productivity. I show that an increase in the bargaining power of labour unions can decrease the welfare loss generated by restriction of the tax policy and provide conditions under which powerful labour unions decrease the likelihood that firms will move abroad. I also reproduce the well‐known effect whereby powerful labour unions decrease corporate tax rates if firms are mobile.     

Is the rhino worth saving? A sustainable tourism perspective

Southern African countries are increasingly dependent on natural beauty and wildlife for tourism. Conservation is essential for sustainable tourism, and is expensive, especially for threatened and endangered species. The current price of a species only takes into account its current usefulness, often leading to an underestimation of the value of wildlife. This paper contributes to debates on the value of endangered species by estimating current use and non-use values for the rhino, a species under extreme threat. Internationally, literature that values scarce and endangered species uses willingness-to-pay (WTP) to derive a value of the species. This paper uses WTP to determine the non-consumptive use value of the rhino based on three surveys, n = 1291, conducted in South Africa's Kruger National Park (KNP) and compare it to consumptive use values. Non-use and inter-temporal values are also estimated to provide a comprehensive valuation of the rhino. Non-consumptive use values per rhino in KNP are shown to exceed consumptive use values by a minimum of 50%. The threat of extinction is shown to be linked to institutional, market and policy failures. Policy implications include raising poaching fines, raising wildlife value awareness and incentivising the community benefits of wildlife conservation.     

Green consumerism and the societal marketing concept: Marketing strategies for the 1990's

This paper examines the impact of these trends on the role of the marketing department in the J990's. Essentially, when the buying habits of consumers are being strangely influenced by green and other environmental issues, the paper argues that the marketing concept and subsequent strategies need to be rethought. The paper then imaginatively develops the concept of societal marketing within this framework, arguing for the need for a long term marketing perspective rather than the short term window dressing approach taken by many marketing departments.     

AHP-based approaches for supplier evaluation: Problems and perspectives

Supplier evaluation has assumed a strategic role in determining competitiveness of large manufacturing companies. An increasing number of researches have been devoted to the development of different kind of methodologies to cope with this problem. Nevertheless, while the number of applications is growing, there is little empirical evidence of the practical usefulness of such tools with a dichotomy between theoretical approaches and empirical applications. Considering this evidence, the goal of this paper is to contribute to understand the above dichotomy by implementing, in a corporate environment, a model for supplier evaluation based on the Analytical Hierarchical Process (AHP), one of the most prominent methodologies used to address the problem. The analysis of the implementation process of the methodology allows the identification of strengths and weaknesses of using formalized supplier selection models to tackle the supplier evaluation problem, also highlighting potential barriers preventing firms to adopt such methods. Relevant issues arising from the application and managerial implications for both customer and suppliers are discussed.     

Bivariate income distributions for assessing inequality and poverty under dependent samples

As indicators of social welfare, the incidence of inequality and poverty is of ongoing concern to policy makers and researchers alike. Of particular interest are the changes in inequality and poverty over time, which are typically assessed through the estimation of income distributions. From this, income inequality and poverty measures, along with their differences and standard errors, can be derived and compared. With panel data becoming more frequently used to make such comparisons, traditional methods which treat income distributions from different years independently and estimate them on a univariate basis, fail to capture the dependence inherent in a sample taken from a panel study. Consequently, parameter estimates are likely to be less efficient, and the standard errors for between-year differences in various inequality and poverty measures will be incorrect. This paper addresses the issue of sample dependence by suggesting a number of bivariate distributions, with Singh–Maddala or Dagum marginals, for a partially dependent sample of household income for two years. Specifically, the distributions considered are the bivariate Singh–Maddala distribution, proposed by Takahasi (1965), and bivariate distributions belonging to the copula class of multivariate distributions, which are an increasingly popular approach to modelling joint distributions. Each bivariate income distribution is estimated via full information maximum likelihood using data from the Household, Income and Labour Dynamics in Australia (HILDA) Survey for 2001 and 2005. Parameter estimates for each bivariate income distribution are used to obtain values for mean income and modal income, the Gini inequality coefficient and the headcount ratio poverty measure, along with their differences, enabling the assessment of changes in such measures over time. In addition, the standard errors of each summary measure and their differences, which are of particular interest in this analysis, are calculated using the delta method.