Retail location: the post hierarchical challenge

Location, like every other element of the retailing mix, is in a constant state of change. Yet academic conceptualizations of retailing location have changed little in the last thirty years. Indeed, this conceptual stasis stands in marked contrast to the dramatic methodological developments that have recently taken place. This paper examines the traditional, hierarchical model of urban retail location and presents an alternative, post-hierarchical perspective. A distinction is drawn between the shape or form of retailing locations and the functions found therein. A classification of urban retail locations is also proposed and a synthesis with the hierarchical model recommended.     

Classical Swine Fever Changes the Way Farmers Value Pigs in South Africa

Although there is growing demand for animal products in Africa, production is stagnating. Appropriate management of livestock diversity could help reinvigorate production, contribute to food security and improve farmers’ livelihoods, particularly in subsistence‐oriented systems. We assess differences in farmers’ preferences and economic values for pig traits across different production systems and across areas that have been affected and unaffected by classical swine fever (CSF). Not surprisingly, market‐oriented farmers derived higher values from the productive traits such as heavy slaughter weight and large litter size found in exotic pig genotypes. Subsistence‐oriented farmers, particularly in swine fever affected areas, placed high value on tolerance to disease. We found that CSF changed farmers’ preferences for adaptive traits, and less so for productive traits. Therefore, indigenous breeds become more valuable for subsistence farmers and crossbreeds for market‐oriented farmers if CSF is a risk. Our results can have implications for breeding and conservation strategies and for compensation strategies after culling, and will become increasingly relevant if, as predicted, heat waves and disease outbreaks become more frequent in pig production systems in South Africa with climate change.     

SUBSTITUTION BETWEEN WOOLS OF DIFFERENT FIBRE DIAMETER1

The extent to which wools with different fibre characteristics can be substituted in textile production and consumption holds implications for Australia's international and domestic marketing policies. An analysis of price-induced substitution between Australian wools of different fibre diameters was conducted. Fibre diameter was used to parameterise cross-price relationships in order to estimate a system of demand equations for wools by diameter class. The results indicate that direct substitution takes place within a very limited range of fibre diameters. The use of product characteristics to parameterise price relationships may be extended to other graded commodities.     

AN EVALUATION OF ALTERNATIVE APPROACHES TO MARKET SHARE ANALYSIS WITH APPLICATION TO THE KUWAITI POULTRY MARKET

Changes in exporter market shares in the Kuwaiti poultry import market over the period 1971–81 are analysed by three modelling procedures. Two traditional approaches, a first-order constant transition probability Markov model and a set of market share equations, are found to be of only limited use. As an alternative, a multinominal logit model of market share behaviour is estimated. The empirical results indicate that, in addition to relative price changes, domestic policy inducements for Brazilian and European Community exports are important in determining market share changes. A comparison of the explanatory abilities of the models suggests that the multinominal logit model is as least as good as traditional modelling alternatives with respect to econometric criteria. It is concluded that the multinominal logit model offers considerable promise as a tool for market share research.     

Profit maximisation vs. agency: an analysis of charitable giving by UK firms

The charitable giving of a large sample of publicly quoted UKfirms is analysed within a model that explores the profit maximisationand managerial utility enhancement motives for giving. The empiricalmethod draws a distinction between the decision to participatein giving and the determination of the amount of corporate contributions.Firm size and advertising intensity are found to be positivelyassociated with the probability of participation in giving.Stricter corporate governance and the rate of directors' remunerationare negatively related to the probability of participation.Among givers, the rate of giving is related positively to R&Dintensity, the rate of directors' remuneration, and corporateprofitability and negatively to firm indebtedness.     

The role of (non-)transparency in a currency crisis model

This paper extends the work by Morris and Shin (Am. Econom. Rev. 88 (1998) 587-597) where multiple equilibria in the self-fulfilling currency attack models can be reduced to a unique equilibrium when agents observe fundamentals privately with small errors. We find that under a more general specification with realistic parameters, noisy private observations are generally insufficient to prevent the multiplicity of equilibria. The pivotal role played by the transparency of fundamentals/policies in currency crisis is also examined. Surprisingly, transparency may trigger rather than eliminate currency crises when fundamentals are relatively healthy. Our results may be relevant to research in other coordination problems.     

A quantitative approach to stakeholder interests

In an age when the role, behaviour and performance of the firm are under greater scrutiny than ever before, it is important to pursue quantitative empirical research in the area of social auditing. Using data relating to one particular company, the various inputs and outputs attributable to the firm's different stakeholders, (shareholders, employees, consumers and the community) are examined and corresponding rates of return calculated. Considerable methodological and data problems arise and consequently the results need careful interpretation.     

OR vice: Forecasting and classification techniques for narcotics interdiction

Counternarcotics interdiction efforts have traditionally relied on historically determined sorting criteria or “best guess” to find and classify suspected smuggling traffic. We present a more quantitative approach which incorporates customized database applications, graphics software and statistical modeling techniques to develop forecasting and classification models. Preliminary results show that statistical methodology can improve interdiction rates and reduce forecast error. The idea of predictive modeling is thus gaining support in the counterdrug community. The problem is divided into sea, air and land forecasting, only part of which will be addressed here. The maritime problem is solved using multiple regression in lieu of multivariate time series. This model predicts illegal boat counts by behavior and geographic region. We developed support software to present the forecasts and to automate the process of performing periodic model updates. During the period, the model was in use at. Coast Guard Headquarters. Because of deterrence provided by improved intervention, the vessel seizure rate declined from 1 every 36 hours to 1 every 6 months. Due in part to the success of the sea model, the maritime movement of marijuana has ceased to be a major threat. The air problem is more complex, and required us to locally design data collection and display software. Intelligence analysts are using a customized relational database application with a map overlay to perform visual pattern recognition of smuggling routes. We are solving the modeling portion of the air problem using multiple regression for regional forecasts of traffic density, and discriminant analysis to develop tactical models that classify “good guys” and “bad guys”. The air models are still under development, but we discuss some modeling considerations and preliminary results. The land problem is even more difficult, and data collection is still in progress.     

Causal ordering and ‘The bank lending channel’

The bank lending channel implies the Federal Reserve can influence real income by controlling the level of intermediated loans. Using the notion of causality developed by Simon (1953) and the causal order methodology developed by Hoover (1990), I test for an operative bank lending channel in the transmission mechanism of monetary policy. I find loans did cause real income; there is evidence that a bank lending channel did exist in the 1960s. The data appears to show, however, that by the early 1990s the bank lending channel was no longer operative. © 1998 John Wiley & Sons, Ltd.     

Input–Output Structural Decomposition Analysis: A Critical Appraisal

Over the past decade, input–output structural decomposition analysis (SDA) has developed into a major analytical tool. We review the development of SDA and its relationship to other methodologies. We present the fundamental principles of alternative approaches to deriving SDA estimating equations and explore the various decompositions of changes in IO tables. We also identify several complications and unresolved issues. Most importantly, we find that a rigorous grounding in economic theory is lacking for SDA, but we are able to offer some suggestions as to how it might be established.