Intra-Household Resource Allocation, Consumer Preferences and Commodity Tax Reforms: Australian Evidence

Empirical analysis of household expenditure behaviour has traditionally ignored the issue of resource allocation between household members, assuming that they have identical or unitary preferences. This paper relaxes that assumption, develops a household sharing rule and proposes intra-household demand systems that are able to identify differences in the preferences of members from conventional data. The resulting price and expenditure elasticities are used to demonstrate that collective demand models suggest different directions for commodity tax reforms to those implied by the traditional unitary model.     

Predicting Household Poverty: A Methodological Note with a Kenyan Example

Household surveys provide data that is used for identifying and measuring the poverty status of households and individuals. However, carrying out such surveys is expensive, especially in poor developing countries. Thus it is important to make maximum use of the available survey data in developing countries, especially in sub‐Saharan Africa, where such data are expensive to collect and analyse. This paper develops a simple method for using poverty indices derived from survey data for a given year, to predict poverty rates for subsequent periods without having to conduct a new household survey. We illustrate the workings of the method with data from Kenyan household surveys for 1994 and 1997.     

The myth of purchasing professionals’ expertise. More evidence on whether computers can make better procurement decisions

In a previous experiment, we have shown that risk assessments of purchasing experts are certainly not better than that of subjects untrained in purchasing, and worse than the decisions made by formal models (J. Purchas. Supply Manage. 9 (2003) 191–198). Since both these results are rather counterintuitive, we conducted a series of experiments geared at replication and extension of these findings. These new experiments show that our previous results are robust, and reveal an additional finding that is both worrying and puzzling. It actually seems to be the case that for the purchasing decision tasks in our experiments, experts perform worse with growing experience. It therefore seems that, at least for the kinds of purchasing decisions under study, it does not make much sense to use expert judgments at all. However, we show that there is a way in which expert judgments can be used in combination with formal models to improve the predictive accuracy of purchasing predictions. In our case, superior predictions are made when we combine the prediction of a formal model with the prediction of the ‘average expert’, thereby combining the robust linear trends as encapsulated in the formal model with the more intuitive configural rules used by experts. We provide several explanations for this phenomenon.     

Intertemporal Substitution and Terms-of-Trade Shocks

The paper examines the relationship between transitory terms‐of‐trade shocks and private saving. Using a model allowing for nonseparability between the consumption of tradables and nontradables, the paper estimates the intertemporal elasticity of substitution while accounting for the intratemporal elasticity of substitution between the consumption of tradables and nontradables. Empirical analysis of data for five industrial countries indicates that in response to transitory terms‐of‐trade shocks, intertemporal substitution of consumption and intratemporal substitution of consumption between tradables and nontradables both have large effects on private saving.     

Client, User and Architect Interactions in Construction: Implications for Analysing Innovative Outcomes from User-Producer Interactions in Projects

Three case studies of user/client-architect interaction, and their implications for an understanding of the design and innovation process in capital goods projects, are considered in this paper. The studies presented include a major 'City Challenge'-funded social housing development programme in the UK, a housing co-operative-driven workplace and housing scheme associated with the same programme and a new building for the business school of a major UK university. Reflecting upon existing literature on user-producer relationships, the paper draws two key conclusions from the case studies that add to this literature. The first points to the need to account for the broader strategic motivations of agents within projects. Two of the case studies describe how innovation driven by the architects involved exceeded the original requirements of the client, and in so doing reveal architects to be oriented toward non-project specific goals. The second conclusion focuses on the user/client and points to the importance of a strong and coherent 'customer vision' in 'enabling' the client to determine project outcomes more fully. Following from these conclusions, it is argued that an analysis of client/ user-producer interactions needs to account more fully for the effects of longer-term strategic planning by agents.     

Import Protection Bias

Rodrik (1995) notes that trade regimes tend to be biased towards import protection, while the standard political economy models either yield no prediction on the bias of the trade regime or predict, counterfactually, a bias towards the export sector. This constitutes an important shortcoming in the political economy of trade literature. In this paper, the Grossman and Helpman (1994 ) “Protection for Sale” model is extended by adding government expenditure. This expenditure may be financed via a combination of tariff revenue and a distorting wage tax. In addition to the government expenditure, export subsidies need to be financed either via tariff revenue or a distorting wage tax. With this addition, plausible values of the model's parameters yield import protection bias.     

Corporate self-greenewal: Strategic responses to environmentalism

The rise of environmentalism in the past decade has become a major transforming force in pollutive and hazard prone industries. Corporate environmental responsiveness is not simply a peripheral and one of the many ‘social’ or ‘ethical’ issues facing business. It is becoming a central concern for competitiveness, productivity, and profitability. It is creating strategic transformation of companies in a diverse range of industries such as, Autos, Chemicals, Oil, Fast Foods, Power Generation, Pharmaceuticals, etc. The process of environmentally directed self-renewal, called ‘greenewal’ here, affects all aspects of companies. It implies changes in products, production systems, waste management practices and internal systems. It seeks to make companies simultaneously more competitive and environmentally responsible. This paper describes the pressures of and responses to environmentalism in a selected set of industries. It examines the processes of greenewal that companies are undergoing. It identifies implications for strategic greening of firms.     

Demographic & related differences in ethical views among small businesses

This study examines the effects of demographic characteristics on ethical perceptions. While earlier research has produced conflicting results regarding the predictive power of these variables, significant and definite insights were obtained with proper controls. The following predictors of ethical attitudes are examined: age, gender, marital status, education, dependent children status, region of the country and years in business, while controlling for job status. A nation-wide random sample of employees was used in obtaining a response rate of fifty-three percent (total n of 423). Indices of aspects of business ethical attitudes were constructed using factor analysis. Linear multiple regression analysis indicated the significant predictive variables. Age was found to be a most-significant predictor. Older workers had stricter interpretations of ethical standards. Gender and region predicted attitudes about job-discrimination practices only, with women and persons from the Midwest most strongly opposed to the practice. All the other variables proved to be unreliable ethics predictors.Paul Serwinek is a research affiliated with Wayne State University. He has done extensive research in business management and consulting work in the field of insurance agency employee job satisfaction.SPSS PC Plus Computer Program used.