Modelling and Mapping Agricultural Output Values Using Farm Specific Details and Environmental Databases

Ongoing concerns regarding the economic losses associated with the CAP and the negative environmental impacts of present land use have led to calls for land use change and consequent efforts to identify areas which are, from both a financial and social perspective, most appropriate for such conversion. This paper develops and applies an output value modelling methodology in which site-specific biophysical factors are combined with farm level data in order to predict input usage and, subsequently, farm profit. The spatial analytic capabilities of a geographical information system (GIS) are used to combine the variety of data employed to permit analysis of a large study area (the entirety of Wales) and yield models of both the market and shadow value of output from the two principal agricultural sectors of the area: dairying and sheep farming. The GIS is then used to produce readily interpretable maps of these values across the study area. The resulting maps are highly compatible both with value maps of alternative land uses given in the recent literature and with approaches to policy formulation currently under development by a range of UK agencies. Such maps may be used to assist estimation of the extent and location of farming response to land use policy change.     

Sorting it out: pile sorting as a mixed methodology for exploring barriers to cancer screening

We discuss a mixed methodology for analyzing pile sorting data. We created a list of 14 barriers to colon cancer screening and recruited 18, 13, and 14 participants from three American Indian (AI) communities to perform pile sorting. Quantitative data were analyzed by cluster analysis and multidimensional scaling. Differences across sites were compared using permutation bootstrapping. Qualitative data collected during sorting were compiled by AI staff members who determined names for the clusters found in quantitative analysis. Results showed five clusters of barriers in each site although barriers in the clusters varied slightly across sites. Simulation demonstrated type I error rates around the nominal 0.05 level whereas power depended on the numbers of clusters, and between and within cluster variability.     

保险业要么锁定客户，要么收购

贝恩公司调查发现,仅有1／10的保险公司成功地实现连年持续地创造价值。许多公司最终表现欠佳的主要原因在于,他们严重误判自己提供客户所需产品／服务的能力。当高级主管被问及是否认为本公司提供最佳客户体验时,77％的高管自认为是,但仅有6％的客户认同。那么,究竟什么才是保险业实现最佳股东回报的关键呢?     

Employee involvement climate and organizational effectiveness

This study empirically examines the relationship between the perceived employee involvement (EI) climate and organizational effectiveness. Using a sample of insurance companies, results indicate that organizations with high levels of perceived EI climate lead to organizational effectiveness as measured through financial performance, turnover rate, and workforce morale. Implications of the results for research and practice are discussed. © 2005 Wiley Periodicals, Inc.     

Interaktion mit Online-Communities — Spielregeln zur Stärkung der Marke

Zusammenfassung  Innerhalb kürzester Zeit hat sich im Internet eine gro?e Bandbreite von Online-Communities entwickelt, als fester Bestandteil der Beziehungswelt vieler Kunden. Unternehmen k?nnen für die Markenführung der Zukunft das Thema Online-Communities nicht mehr ausklammern, finden sich aber h?ufig im Internetdschungel (noch) nicht zurecht. Um Bewertungsportale, Blogs, Social Networking Sites, Virtual Worlds etc. im Sinne der Marke verstehen und nutzen zu k?nnen müsse Markenmanager eine Reihe von Spielregeln erlernen und beachten. Dr. Claudia Fisher-Buttinger Markenberaterin und Gründerin der Lemontree Brand Strategy mit Sitz in München. Dr. Christine Vallaster Dozentin an der Hochschule Liechtenstein in Vaduz am Institut für Entrepreneurship.     

Modelling tourist flow association for tourism demand forecasting

The purpose of this study is to examine tourism demand for Singapore from 1995 to 2013 by six major origin countries which belong to three different regions. Unlike prior tourism research, we take into account the dependence relations among the different tourist flows via copula. Copula is a statistical model of dependence and measurement of association. Specifically, we investigate the association between two tourist flows in each region. Based on empirical copula estimation, the Frank function has been identified as the most appropriate to capture the pairwise dependence structures of tourist flows. The copula-based approach combined with econometric models is proposed for tourism demand analysis that can be used to predict tourist arrivals. We apply the copula-ARDL and copula-ECM frameworks to generate joint forecasts of tourist arrivals from three regions. The findings show that the forecast performance of the Frank copula-based model outperforms the benchmark model which corresponds to the independence structure (no association) of tourist flows.     

Forecasting performance

It is widely accepted that accuracy represents the appropriate criterion for evaluation of forecast performance. Christine Martin, Lecturer in Operations Management, and Stephen Witt, Lecturer in Econometrics, at the Management Centre, University of Bradford, UK, present the results of a questionnaire survey of tourism practitioners and academics which support this view.     

The implications of interstate banking for consumers

The purpose of this article is to discuss the implications of interstate banking for consumers. The article describes the current structure of the banking industry, the history of legislation affecting interstate banking, and the expected effects of interstate banking on bank operating costs, availability of local funds, and concentration and competition within local banking markets as well as the anticipated effects on consumers of banking services. © 1995 John Wiley & Sons, Inc.