Information and communications technology use,e‐government,pain and stress amongst public servants

This paper examines information and communications technologies use, work intensity, technology preference, respondent characteristics, pain and stress in 240 New Zealand public servants across six agencies. In particular, we find that four variables are the most consistent predictors of pain—hours using a cell phone, stress, female gender and one's salary.     

Domestic tourism as a development factor

Archer, Brian H., “Domestic Tourism as a Development Factor”, Annals of Tourism Research, Vol. V, No. 1, January/March 1978, pp. 126–141. Domestic tourism brings about an intermingling of people from diverse social and cultural backgrounds and also a considerable redistribution of spending power. Although this paper concentrates mainly upon the economic effects created by the growth of domestic tourism and is illustrated by reference to some recent case studies, attention is also drawn to the favorable and unfavorable political, social, cultural, moral, environmental and conservational aspects of domestic tourism. The paper concludes by discussing some ways in which domestic tourism can provide an impetus to further economic growth in the holiday regions and also how domestic tourism may assist in solving some of the problems facing a country's international tourism.     

A model for screening and classifying potential accounting majors

This study is concerned with developing an explicit methodology with which to screen potential admission into Bowling Green State University's (BGSU hereafter) accounting program. Rather than predicting success in a specific accounting course, the researchers predict success in the accounting program at BGSU. Discriminant analysis was conducted in conjunction with a split sample approach, wherein the model was specified and the parameters estimated on part of the split sample. Then this model was utilized to classify student success or failure on the remaining part of the split sample. The classification results were promising with 85.2% of the students correctly classified.     

CROSS-SUBSIDISATION OF RURAL AREAS VIA UTILITY PRICING POLICIES*

Public utilities which apply roughly uniform prices to all consumers often engage in cross-subsidisation — charging prices which are below cost for consumers in low population density areas but above cost for consumers in high density areas. The distributional and allocative implications of this practice are examined and it is concluded that some cross-subsidisation may be justifiable on welfare grounds even where no externalities exist. There is, however, little empirical evidence released by utilities to enable assessment of the efficiency of their practices. If nothing else, we highlight the need for greater public disclosure of pricing practices by public utilities.     

Ownership Duration in the Residential Housing Market: The Influence of Structure,Tenure, Household and Neighborhood Factors

Turnover rates are important as determinants of the level of activity in housing related industries, in effecting housing market adjustments, and in revealing prices in illiquid, highly segmented, informationally inefficient housing markets. This study examines the relative influence of structure features, tenure, household characteristics and neighborhood factors on ownership turnover rates. The study exploits a Chicago database of just under 50,000 paired sales of attached housing units, with at least one of the sales occurring between 1992 and June of 2002. Within the framework of a Cox proportional hazard model, we focus on a number of factors affecting turnover rates, including whether the housing unit is owner-occupied or rented at the time of sale, price at the time of sale, unit size, age, location in a tax increment financing district, housing density, structure size, year of sale, and neighborhood within Chicago (by Community Area). Finding strong spatial segmentation in turnover (hazard) rates, we further examine the capacity of four sets of Census-derived variables to explain the spatial variation. The household characteristics offer decidedly the strongest power in explaining the segmentation. Results from the hazard model, combined with results from the analysis of spatial variation suggest a household life cycle model of variation in turnover rates.