The pre-acquisition evaluation of target firms and cross border acquisition performance

The paper investigates the impact of the pre-acquisition evaluation of target firms on the performance of cross border acquisitions using data from a sample of acquisitions made by UK firms. The findings provide reasonable support for organizational learning theory, suggesting that the more the acquiring firm learns about the target firm then the better will be the acquisition performance. Specifically, we find support for the hypothesis that thorough evaluation of the strategic and cultural fit positively influences cross border acquisition success. Further, the analysis reveals that detailed evaluation of the target firm's employee and business capability improves acquisition performance. The managerial implications of the findings and directions for future research are also discussed.     

Separating the Hawks from the Doves: Evidence from continuous time laboratory games

Human players in our laboratory experiment received flow payoffs over 120 seconds each period from a standard Hawk–Dove bimatrix game played in continuous time. Play converged closely to the symmetric mixed Nash equilibrium under a one-population matching protocol. When the same players were matched in a two-population protocol with the same bimatrix, they showed clear movement towards an asymmetric (and very inequitable) pure Nash equilibrium of the game. These findings support distinctive predictions of evolutionary game theory.     

Labour Turnover in Hotels - Revisited

Five years have now elapsed since the author last conducted an empirical investigation into the prevailing rates of labour turnover in a small sample of hotels (Johnson 1980). One conclusion of this survey was that excessive labour turnover could only be resolved by action at unit level. The object of the study outlined in this article was to re-examine the turnover process at this level and to analyse any changes or developments that had taken place in the intervening years. This was to be achieved by repeating the earlier investigations and comparing the findings with those of the original. Unfortunately it proved impossible to use all the original hotels and consequently a similar, rather than identical, sample of units had to be used. In reconstructing the sample, attention was focused on large units. This was because the original work had shown that even relatively low levels of turnover in large hotels lead to considerable economic loss. The results of this latest survey highlight some important changes that have taken place in the last five years and illustrate a new type of turnover. More specifically, several factors are identified which are of value to those unit managers interested in predicting and thereby exercising greater control over their labour turnover.     

The Incidence of Public Spending on Healthcare: Comparative Evidence from Asia

The article compares the incidence of public healthcare across11 Asian countries and provinces, testing the dominance of healthcareconcentration curves against an equal distribution and Lorenzcurves and across countries. The analysis reveals that the distributionof public healthcare is prorich in most developing countries.That distribution is avoidable, but a propoor incidence is easierto realize at higher national incomes. The experiences of Malaysia,Sri Lanka, and Thailand suggest that increasing the incidenceof propoor healthcare requires limiting the use of user fees,or protecting the poor effectively from them, and building awide network of health facilities. Economic growth may not onlyrelax the government budget constraint on propoor policies butalso increase propoor incidence indirectly by raising richerindividuals' demand for private sector alternatives.     

The geography of air freight: connections to U.S. metropolitan economies

Despite the rapid growth of air freight shipments, much of the existing literature on the geography of air transportation has paid more attention to passenger travel than air freight. The purpose of this paper is to elevate our understanding of air freight by determining which specific variables most influence and shape the geographic distribution of air freight by metropolitan area using stepwise regression analysis. The empirical results suggest a regression model of five independent variables was the most parsimonious solution where the final model accounted for 71.1% of the variation in air freight shipments by metropolitan area (MA). The most important predictor was the traffic shadow effect, where less populated MAs under the traffic shadow of larger MAs tended to generate lower levels of freight. The model also suggested that other key predictors included the employment market share in transportation-shipping-logistics industries, per capita personal income, the number of medical diagnostic and supplier establishments, and above average wages in high technology. Overall, metropolitan markets with diverse and efficient ground support systems, freight forwarders and other transportation services, a more affluent population, an intense agglomeration of medical laboratories and related suppliers, and a well paid skilled workforce engaged in computer systems design and electronic product manufacturing are more likely to ship freight by air.     

The Benefit Function Approach to Modeling Price-Dependent Demand Systems: An Application of Duality Theory

In this article, we advocate more extensive use of the benefit function in specifying price-dependent or inverse demand models. We demonstrate how duality theory may be used to establish the interrelationships between the Marshallian (or Hicksian) inverse demands and Luenberger's adjusted price functions, allowing estimable inverse demands to be derived directly from a benefit function. We estimate two systems of inverse demands for Japanese quarterly fish consumption. Results indicate that the procedures and methods employed here appear promising, and may prove beneficial for quantity and welfare analysis when modeling systems of inverse demand functions.     

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.