The Role of Professional Codes in Regarding Ethical Conduct

This paper investigates the regulation of ethical behavior of professionals. Ethical perceptions of South African professionals operating in the business community (specifically accountants, lawyers and engineers) concerning their need for and awareness of professional codes, and the frequency and acceptability of peer contravention of such codes were sought. The existence of conflict between corporate codes and professional codes was also investigated. Results, based on 217 replies, indicated that the professionals believe that codes are necessary and are relatively aware of the contents of such codes. Despite these ethical tendencies, respondents (particularly lawyers) believe that their peers contravene their professional codes relatively often. No significant differences in ethical tendencies between professionals consulting to and those working in business were found. Many respondents were regulated by more than one code of ethics, but few experienced conflict between such codes. In the events of conflict occurring professionals chose to adhere to their professional code above others.     

Mark-ups, economies of scale and the role of knowledge spillovers in OECD industries

Using R&D-based models of economic growth as a foundation, this paper argues that market-driven knowledge creation is necessarily linked as an engine of productivity growth to economies of scale and market-power. A cost function and factor demand model is applied to a cross-country industry data set to study market-power, economies of scale and the role of knowledge in an integrated approach. Empirical results reveal the presence of market-power and economies of scale in all of the industries investigated. R&D and spillovers explain some of the productivity growth observed. Spillovers are identified as an external source of economies of scale.     

Academic entrepreneurship

This paper proposes a model of the choice to commercialize research, of the amount and type of pre‐commercial research to perform, and of the timing of commercialization by an academic scientist, and analyzes the returns and costs of these choices. The behavior and performance of the academic scientist is compared with that of an industrial researcher. Unlike the industrial researcher, the academic scientist receives direct benefit from performing research, e.g. in the form of publication and peer recognition. However, the type of research that is more effective in reducing commercialization costs may not be the one generating the highest scientific benefit. It is shown that, while in some cases the academic scientist is more reluctant to commercialize research, in other cases she may commercialize faster than a solely profit‐seeking agent would—and perform less research. Academic and non‐academic scientists also select different projects, and this may explain the good performance of academic entrepreneurs found in several empirical studies. The model offers a unified framework to interpret the mixed evidence on the success of, and the arguments in favor and against, the involvement of universities into commercial activities. Managerial and public policy implications are also examined. Copyright © 2009 John Wiley & Sons, Ltd.     

THE MEASUREMENT OF EMPLOYMENT STATUS IN SOUTH AFRICA USING COHORT ANALYSIS, 1994‐20041

We analyse trends in employment, unemployment and labour force participation by simple graphical techniques, using all the October Household Surveys and the September Labour Force Surveys. We show that African male employment in 1995 seems high, when compared to all the other surveys. Furthermore much of the increase in African female labour force participation is concentrated in the period 1998 to 2000, which suggests that measurement and sampling changes may be partially responsible for the trend. We track cohorts of individuals over the eleven years for which we have data. We show that young people are leaving school earlier, while being better educated than their elders. They are not, however, being absorbed into employment at a faster rate. This has led to a spike in youth unemployment.     

Fare elasticities of demand for direct and indirect flights in sub-Saharan Africa

This article examines the different demands for direct and indirect flights within sub-Saharan Africa. It develops both a simple reduced form model and a more refined two equation simultaneously system to examine bookings and fares on the major air transportation corridors. Using panel data, this allows estimation of the different fare elasticities of demand for direct and indirect services between the continents’ major cities as well as assessing the respective merits of the two models used.     

Family ownership and environmental performance: The mediation effect of human resource practices

Previous literature has found that listed family firms underperform their nonfamily counterparts in terms of environmental performance, but has not explained why this occurs. We address this research gap by hypothesizing that training and development practices (i.e., managerial practices devoted to providing training and development for the workforce) mediate the relationship between family blockholders and environmental performance. Using a sample of 33,901 firm‐year observations from 2002 to 2016 distributed across 56 countries and employing the structural equation model technique, we find that investment in training and development practices explains almost half of the negative relationship between family blockholders and environmental performance. Our study contributes to the agency theory debate on principal–principal problems by explaining why family blockholders could damage other blockholders and minority shareholders.     

Robust Small Area Estimation under Spatial Non‐stationarity

The effective use of spatial information in a regression‐based approach to small area estimation is an important practical issue. One approach to account for geographic information is by extending the linear mixed model to allow for spatially correlated random area effects. An alternative is to include the spatial information by a non‐parametric mixed models. Another option is geographic weighted regression where the model coefficients vary spatially across the geography of interest. Although these approaches are useful for estimating small area means efficiently under strict parametric assumptions, they can be sensitive to outliers. In this paper, we propose robust extensions of the geographically weighted empirical best linear unbiased predictor. In particular, we introduce robust projective and predictive estimators under spatial non‐stationarity. Mean squared error estimation is performed by two analytic approaches that account for the spatial structure in the data. Model‐based simulations show that the methodology proposed often leads to more efficient estimators. Furthermore, the analytic mean squared error estimators introduced have appealing properties in terms of stability and bias. Finally, we demonstrate in the application that the new methodology is a good choice for producing estimates for average rent prices of apartments in urban planning areas in Berlin.