Operating efficiency of Canadian banks

This article assesses Canadian banks' ability to realize scale economies and cost complementarities in joint production. The Canadian banking system, with its 10 or so large banks and 50 smaller ones, offers a good database for a study of efficiency, especially since previous work suggests that the system's concentration has had little impact on system competitiveness. This article estimates a system of cost and cost share equations using Zellner's iterative seemingly unrelated regression technique, then evaluates scale economies and cost complementarities from the estimated cost functions' first and second partial derivatives. The article compares a model that classifies deposits as inputs with another that classifies them as outputs. The empirical findings indicate that deposits are better modelled as outputs than inputs; that Canadian banks organize to exhaust available sources of scale economies and economies in joint production; and that conclusions regarding scale economies and cost complementarities differ importantly according to whether deposits are modelled as inputs or as outputs.     

Why Do We Have Urban Density Controls?

Almost all urban land use controls reduce permitted densities. This article analyzes restrictions on residential densities in a conventional model of density–distance functions. Density controls force development to extend farther than in competitive equilibrium, thus increasing commuting distances and dwelling costs. Residents benefit if, as is likely, they prefer lower densities than in competitive equilibrium. But there is a limit to the extra commuting and housing costs that nevertheless make residents better off. Theoretical and numerical analyses are presented to show that likely parameter values almost certainly result in reductions in residents' welfare.     

The Antecedents of Trust in Business-to-Business Financial Services

Purpose: To explore how satisfaction, communication, customization, competence, and shared values (as antecedents) influence trust in B2B financial services relationships, and to assist decision makers in this industry to manage long-term relationships with their clients.

Methodology/approach: Based on a literature review, five hypotheses were developed. The hypotheses were addressed by empirically evaluating a theoretical model based on data from both relationship managers and the clients of a leading South African B2B financial services provider. Regression analysis was used to assess the relationships in the relationship-manager sample, while structural equation modeling (SEM) was used to assess the relationships in the client sample.

Findings: In the relationship-manager sample, satisfaction, competence, and shared values were found to be significant predictors of trust. However, in the client sample, all five of the hypothesized antecedents were found to contribute significantly to trust.

Originality/value/contribution: The major contribution of this study, for both marketing academics and practitioners, lies in the simultaneous consideration of the perceptions of both financial services providers as well as their clients. As far as it could be ascertained, this combination of both exchange partners (service providers and clients) in a single study has not been reported in a financial services context.     

A Bio-Economic Model of Community Incentives for Wildlife Management Under CAMPFIRE

This paper formulates a bio-economic model to analyze community incentives for wildlife management under benefit-sharing programs like the Communal Areas Management Programme for Indigenous Resources (CAMPFIRE) in Zimbabwe. Three agents influence the wildlife stock: a parks agency determines hunting quotas, outside poachers hunt illegally, and a local community may choose to protect wildlife by discouraging poaching. Wildlife generates revenues from hunting licenses and tourism; it also intrudes on local agriculture. We consider two benefit-sharing regimes: shares of wildlife tourism rents and shares of hunting licenses. Resource sharing does not necessarily improve community welfare or incentives for wildlife conservation. Results depend on the exact design of the benefit shares, the size of the benefits compared with agricultural losses, and the way in which the parks agency manages hunting quotas.     

The impact of Saturday trading on stock returns: Evidence from the Tokyo stock exchange January 1976 to January 1989

This paper examines the impact of TSE Saturday trading on daily TOPIX returns and TSE trading volume over the January 1976 to January 1989 period. Saturday trading is shown to have no significant impact on mean stock returns for the other days of the week. However, a significant shift in the pattern of Monday and Tuesday TOPIX returns is documented in the post-August 1986 period. This shift does not appear to be related to Saturday trading. TSE Saturday trading is found to have a significant impact on the variance of stock returns on surrounding days. In addition, trading volume is significantly lower on trading days surrounding Saturday trading. These findings are relevant to the timing of portfolio adjustment decisions.     

Impact of telephone and satellite earth station installations on GDP : A model for rural areas of LDCs

Presents a method for estimating the impact on national development of installation of telecommunication facilities in rural areas of developing countries. A methodology developed by Hardy is applied to three groups of developing countries and a hypothetical rural region to estimate the impact on GDP per thin route satellite earth station installed over a ten year period. A logarithmic relationship between telephone density and impact on GDP per earth station is found, so that the impact per earth station increases with lower telephone densities. The model can be used to estimate the impact on national GDP of telephone installations and/or thin route earth stations in regions of low telephone density.     

Has the United States Overinvested in Housing?

Several economists have concluded that housing investment has been excessive relative to industrial investment in the U.S. Most blame provisions of the federal income tax that favor owner-occupied housing.
This paper poses the question within a two-sector neoclassical growth model which permits the social return to housing to differ from that to non-housing. The model is estimated using national income accounts and capital stock data from 1929 to 1983. The conclusion is that the return to housing capital is about half that to non-housing capital and that the housing stock should be about 75% of its 1983 volume.