Purpose The purpose of this paper is to develop and test a comprehensive hierarchical model of behavioural intentions in the Malaysian retail banking industry. Design/methodology/approach The data were analysed using EFA, CFA and structural modelling. Findings The findings illustrate that customer satisfaction is the most important determinant of behavioural intentions, followed by switching costs, corporate image and perceived value. Service quality is indirectly related to behavioural intentions and customer satisfaction mediates the relationship between the two constructs. Customer satisfaction is strongly influenced by service quality, corporate image and perceived value. Service quality is also an antecedent of perceived value, corporate image and switching costs. The empirical results also support a hierarchical and multidimensional approach for conceptualising and measuring customers’ perceptions of service quality. Research limitations/implications The comprehensive hierarchical model developed in this research can be used as framework for additional studies on the banking industry. Practical implications The findings provide Malaysian bank managers with empirically-based insights into behavioural intentions and offer guidelines for assessing and improving service quality. Originality/value This is the first study that uses comprehensive hierarchical modelling to synthesise the effects of service quality, customer satisfaction, perceived value, corporate image and switching costs on the behavioural intentions of retail bank customers.
This article presents a dynamic bioeconomic model of livestock disease control that is unique in its integration of disease dynamics, inter-species interaction, controlinduced migration, and individual optimising behaviour. Examination of the ¢rst-order conditions highlights why pro¢t-maximising producers cannot be expected to eradicate disease. Results from an empirical application of the model con¢rm that the current mix of policies to control bovine tuberculosis in New Zealand is achieving lower levels of prevalence than would prevail in the absence of a national strategy. These policies do, however, appear to remove some of the individual incentive to control disease.
Sustainability has become a primary goal for much of the legislation which governs resource management in New Zealand. A major difficulty associated with sustainable development objectives, however, is the absence of reliable indicators to measure progress towards the goal of sustainability. The ‘ecological footprint’ provides an estimate of the amount of ecologically productive land required on a continuous basis to sustain current levels of resource consumption and waste assimilation for a given population. By comparing the ecological footprint of a community with the amount of land available, we can more clearly determine whether our current consumption patterns are likely to be sustainable. This paper explores the use of ecological footprint analysis within a New Zealand context. Modifications to the existing procedure for calculating an ecological footprint are proposed, and estimates based on the modified procedures are presented for New Zealand.
The spatial distribution of agro-environmental policy benefits has important implications for the efficient allocation of management effort. The practical convenience of relying on sample mean values of individual benefits for aggregation can come at the cost of biased aggregate estimates. The main objective of this paper is to test spatial hypotheses regarding respondents' local water quality and quantity, and their willingness-to-pay for improvements in water quality attributes. This paper combines choice experiment and spatially related water quality data via a Geographical Information System (GIS) to develop a method that evaluates the influence of respondents' local water quality on willingness-to-pay for river and stream conservation programs in Canterbury, New Zealand. Results showed that those respondents who live in the vicinity of low quality waterways are willing to pay more for improvements relative to those who live near to high quality waterways. The study also found that disregarding the influence of respondents' local water quality data has a significant impact on the magnitude of welfare estimates and causes substantial underestimation of aggregated benefits.Key words: Water Quality, Choice Experiment, Geographical Information System, Aggregate Benefits JEL codes: Q51, Q25, Q58 * Corresponding author: peter.tait@lincoln.ac.nz. Ph: 64 3 321 8274 Introduction 2The choices made by researchers when aggregating individual benefits can significantly affect the estimates that are available to be used in cost benefit analysis (Morrison, 2000). Aggregation of environmental values commonly relies on sample mean values of individual benefits. However, individuals' locations in relation to impact sites (proximity) may influence valuation and hence, it is important to account for spatial differences in estimating aggregate benefits (Bateman et al., 2006). Analysis of how values differ spatially within the population being aggregated can mitigate bias by identifying values conditional on spatially related variables that are hypothesised to influence individual preferences. This paper employed choice experiment (CE) methodology and spatially related water quality data in a Geographical Information System (GIS) to evaluate the influence of local water quality on respondents' willingness-to-pay (WTP) for river and stream conservation programs in Canterbury, New Zealand. Identification and estimation of spatial patterns of nonmarket values have taken many forms in the literature. Hedonic studies are perhaps the most widespread approach to estimating spatial relationships of nonmarket values (MacDonald et al. 2010;Agee and Crocker, 2010;Kong et al., 2007). Travel cost valuation methodology explicitly incorporates geographical locations of respondents into the analysis . A growing number of applications of these methods employ GIS tools to enhance accuracy of metrics and spatial modelling (Bateman et al., 2002). Comparison of separate models for individual regions is a traditional approach to investigating ...
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