Assessing cost‐effectiveness when environmental benefits are bundled: agricultural water management in Great Barrier Reef catchments

Using economic analysis to prioritise improvements in environmental conditions is particularly difficult when multiple benefits are involved. This includes ‘bundling’ issues in agricultural pollution management, where a change in management action or farming systems generates multiple improvements, such as reductions in more than one pollutant. In this study, we conceptualise and compare two different approaches to analysing cost‐effectiveness when varying bundles of benefits are generated for a single project investment. Each approach requires data to be transformed in some way to allow the analysis to proceed. The index approach requires the transformation on the benefits side so that the effects of multiple pollutant changes can be combined into a measure for each project which can then be compared to costs. By comparison, the disaggregation approach requires the transformation on the costs side where costs for each project have to be apportioned across the different pollutants involved. The paper provides novel insights with an application to agricultural water quality improvements into the Great Barrier Reef in Australia, demonstrating that while both approaches are effective in prioritising projects by cost‐effectiveness, the disaggregation approach provides more insightful results and values that may be relevant for use as upper value guidelines in future project selection.     

E-Shopping Patterns of Chinese and US Millennials

A conceptually based taxonomy of 22 distinct forms of e-shopping vehicles is proposed. A modification of the UTAUT and UTAUT2 models is introduced to explain how vehicles are interrelated in regard to consumer reliance upon them for their e-purchasing. A survey of over 1,000 millennial university students, 697 Chinese and 306 US, revealed strong support in both samples for the hypothesized six dimensional pattern underlying consumer vehicular reliance. Further, differences between Chinese and US samples lay not in the nature of the dimensions, but rather in the strength of reliance upon each dimension. Thus, the study demonstrates the utility of the concept/measure of shopper vehicular reliance, VPR (Vehicle Purchasing Reliance) for both practitioners and scientists. In cross-national comparisons, observed differences between samples in strength of reliance supported four of five hypotheses predicated on previously established national distinctions a) in trust and b) in the cultural value of individualism-collectivism.     

Bundling attractions for rural tourism development

Tourism is often regarded as a viable solution to economic crisis, especially for remote areas without many development options. While many tourism destinations have strong cultural or heritage assets, not all destinations have primary attractions that can bring visitors to the region. Rather than developing special interest “themes”, rural areas that do not have enough of any one type of tourism resource to act as a primary draw may consider bundling different attraction types to increase visitation. The purpose of this study is to investigate the preferences of visitors to secondary heritage sites and explore the relationship between heritage tourism and alternative, non-heritage activities in rural areas. Findings revealed that motivation to visit small-scale heritage sites consisted of two dimensions: learning and recreation. The two motivational dimensions influenced visitors’ interest in different heritage attractions and likelihood of visiting heritage tourism “scenarios”. As for alternative activities, there was a cluster of “popular” activities that were enjoyed by both learning-oriented and recreation-oriented respondents, but recreation-oriented visitors were more interested in nature-based activities and sport-related activities than learning-oriented visitors. Findings can help rural communities improve secondary attractions and diversify their tourism product by bundling heritage attractions with non-heritage activities.     

Are patent fees effective at weeding out low‐quality patents?

The paper investigates whether patent fees are an effective mechanism to deter the filing of low‐quality patent applications. The study analyzes the effect on patent quality of the Patent Law Amendment Act of 1982, which resulted in a substantial increase in patenting fees at the U.S. Patent and Trademark Office. Results from a series of difference‐in‐differences regressions suggest that the increase in fees led to a weeding out of low‐quality patents. About 10% of patents in the lowest quality decile were filtered out, with the effect concentrated in the patents of firms whose overall patent portfolio was medium to large (more than 20 patents). The study has strong policy implications in the current context of concerns about declines in patent quality.     

The Persistence of Dominant‐Firm Market Share: Raising Rivals' Cost on the New York Stock Exchange

To explain the persistence of dominant New York Stock Exchange (NYSE) market share in stock trading of listed securities from 1992 to 2002, we develop a dominant‐firm price leadership model and hypothesize that NYSE specialists raised the costs of rival market makers. The model predicts that natural and induced cost advantages will determine the NYSE's market share vis‐à‐vis the regional exchanges, electronic trading systems, and NASDAQ dealers. Empirically, NYSE market share increases with economies of scale and scope, abnormal price volatility, high asymmetric information, and with trading practices that raise rivals' costs, such as failure to display limit orders that bettered the existing quotes.     

Robustly optimal monetary policy in a microfounded New Keynesian model

We consider optimal monetary stabilization policy in a New Keynesian model with explicit microfoundations, when the central bank recognizes that private-sector expectations need not be precisely model-consistent, and wishes to choose a policy that will be as good as possible in the case of any beliefs close enough to model-consistency. We show how to characterize robustly optimal policy without restricting consideration a priori to a particular parametric family of candidate policy rules. We show that robustly optimal policy can be implemented through commitment to a target criterion involving only the paths of inflation and a suitably defined output gap, but that a concern for robustness requires greater resistance to surprise increases in inflation than would be considered optimal if one could count on the private sector to have “rational expectations.”     

Virtue ethics and customer relationship management: towards a more holistic approach for the development of ‘best practice’

This paper focuses much‐needed attention on the ethical nature of customer relationship management (CRM) strategies in organisations. The research uses an in‐depth case study to reflect on the design, implementation and use of ‘best practice’ associated with CRM. We argue that conventional CRM philosophy is based on a fairly narrow construct that fails to consider ethical issues appropriately. We highlight why ethical considerations are important when organisations use CRM and how a more holistic approach incorporating some of Alasdair MacIntyre's ideas on virtue ethics could be relevant.     

Product pricing and solvency capital requirements for long-term care insurance

This paper presents a comprehensive assessment of premiums, reserves and solvency capital requirements (SCRs) for long-term care (LTC) insurance policies using Activities of Daily Living and US data. We compare stand-alone policies, whole life insurance policies with LTC benefit riders (LTC insurance combined with whole life insurance), life care annuities (LTC insurance combined with annuities) and shared LTC insurance in terms of net premium cost and SCRs. Net premiums and best-estimate reserves for base LTC insurance policies are determined using Thiele’s differential equation. Product features such as the elimination period and the maximum benefit period are compared using a simulation-based model. We show how a maximum benefit period can reduce costs and risks for LTC insurance products. SCRs for longevity risk and disability risk are based on the Solvency II standard formula. We quantify the extent to which whole life insurance policies with LTC benefit riders and life care annuities provide lower SCRs than stand-alone LTC insurance policies.     

Interpreting the results of studies using latent variable models to assess data quality: an empirical example using confirmatory factor analysis

Latent variable models (LVMs) offer one route to examine the quality of data collected in surveys. The possibility exists that individuals equivalent in their true level of a construct or variable being measured are unlikely to have equivalent observed responses as a function of an extraneous variable, e.g., group membership. This potential is labeled here as differential item functioning (DIF). Survey methods generally considers measurement bias to be estimators that do no not accurately reflect true values. DIF may be thought of as differential measurement bias, i.e., measurement bias conditional on group membership. As a function of group membership, the degree, amount, or type of measurement bias changes. DIF has the potential to negatively affect the quality of data. LVMs, e.g., confirmatory factor analysis (CFA), offer one tool to assess DIF. However, few published examples exist in the survey research field and training in the interpretation of these models is lacking. The purpose of the current paper is to describe CFA sufficiently for interpretive purposes and demonstrate an empirical application of CFA to assess survey data quality to provide further interpretive guidance. References are provided for analysts wishing to conduct analyses of this type.