Brexit: How Will UK Agriculture Fare?

There is little doubt that Brexit would have significant implications for UK agriculture, a sector with strong trade links to the EU and strong reliance on CAP income support. This article reports preliminary results from employing a Computable General Equilibrium Model, a Partial Equilibrium Model and Farm Level Models to explore selected trade and domestic policy scenarios post‐Brexit. These allow for the estimation of changes in producer prices, production and farm incomes against a baseline scenario of continued EU membership. Under a Free Trade Agreement with the EU, agricultural impacts are relatively modest. By contrast, unilateral removal of import tariffs has significant negative impacts on prices, production and incomes. Adoption of the EU's WTO tariff schedule for all imports favours net importers (e.g. dairy) and harms net exporters (e.g. sheep). Given the strong dependence of most UK farms on direct payments, their removal worsens negative impacts of new trade arrangements and offsets positive impacts. Impacts vary across different types and sizes of farm, but also regionally. However, the period of adjustment to new trade and domestic policy conditions may prove very challenging for a large number of farm businesses.     

Cost-effectiveness of dedicated dietitians for hyperphosphatemia management among hemodialysis patients in Lebanon: results from the Nutrition Education for Management of Osteodystrophy trial

Aim: To assess the cost-effectiveness of nutrition education by dedicated dietitians (DD) for hyperphosphatemia management among hemodialysis patients.

Materials and methods: This was a trial-based economic evaluation in 12 Lebanese hospital-based units. In total, 545 prevalent patients were cluster randomized to DD, trained hospital dietitian (THD), and existing practice (EP) groups. During Phase I (6 months), DD (n?=?116) received intensive education by DD trained on renal nutrition, THD (n?=?299) received care from trained hospital dietitians, and EP (n?=?130) received usual care from untrained hospital dietitians. Patients were followed-up during Phase II (6 months).

Results: At baseline, EP had the lowest weekly hemodialysis time, and DD had the highest serum phosphorus and malnutrition-inflammation score. The additional costs of the intervention were low compared with the societal costs (DD: $76.7, $21,007.7; EP: $4.6, $18,675.4; THD: $17.4, $20,078.6, respectively). Between Phases I and II, DD showed the greatest decline in services use and societal costs (DD: –$2,364.0; EP: –$1,727.7; THD: –$1,105.7). At endline, DD experienced the highest decrease in adjusted serum phosphorus (DD: –0.32; EP: +0.16; THD: +0.04?mg/dL), no difference in quality-adjusted life-years (QALY), and the highest societal costs. DD had a cost-effectiveness ratio of $7,853.6 per 1?mg decrease in phosphorus, compared with EP; and was dominated by THD. Regarding QALY, DD was dominated by EP and THD. The results were sensitive to changes in key parameters.

Limitations: The analysis depended on numerous assumptions. Interpreting the results is limited by the significant baseline differences in key parameters, suggestive of higher baseline societal costs in DD.

Conclusions: DD yielded the greatest effectiveness and decrease in societal costs, but did not affect QALY. Regarding serum phosphorus, DD was likely to be cost-effective compared with EP, but had a low cost-effectiveness probability compared with THD. Regarding QALY, DD was not likely to be cost-effective. Assessing the long-term cost-effectiveness of DD, on similar groups, is recommended.     

Consumer adoption of Internet banking in Jordan: Examining the role of hedonic motivation,habit, self-efficacy and trust

Despite the rapid growth of Internet banking (IB), customers in developing countries still hesitate to adopt this technology and its use in the Middle East remains low. This study aims to identify and examine the factors that predict behavioural intention and adoption of IB in Jordan. Four factors – hedonic motivation, habit, self-efficacy and trust – are proposed in a conceptual model. Data was collected by means of a survey with bank customers in Jordan. Structural equation modelling (SEM) was used to analyse the data. The results strongly supported the conceptual model. Further, hedonic motivation, habit, self-efficacy and trust were all confirmed to have a significant influence on behavioural intention. Trust was found to be strongly predicted by both hedonic motivation and self-efficacy. This study provides both academics and practitioners with an insight into the factors that can be used to encourage customer adoption of IB specifically in a Middle East context.     

The role of destination personality fit in destination branding: Antecedents and outcomes

Drawing from fit research in strategic management, this study develops and investigates a model predicting destination attitude and (re)visit intention. The study introduces the concept of destination personality fit on the basis of how well consumer perceptions of a tourist destination's brand personality fits that of what the destination brand manager wishes to convey. A model incorporating destination advertising awareness as an antecedent of destination personality and consumer‐manager destination personality fit is tested on international consumers with the destination personality of Switzerland as the study setting. Structural equation modeling results reveal that destination advertising awareness does indeed relate positively to both stronger perceived destination personality and destination personality fit in consumers’ minds. Interestingly, the subsequent destination personality–destination attitude relationship is moderated by consumer–manager destination personality fit in such a way that the link grows stronger in cases where fit is high. The results have important implications for destination brand managers in that they reinforce the importance of strong and distinct destination personalities. The findings also show the importance of actively communicating the destination brand to consumers since the positive outcomes of a strong destination personality increase in magnitude when successfully communicated, and the vision of the destination brand manager has been adopted by the consumer.     

Concurrent validity of a measure of innovative cognitive style

Identifying innovative consumer segments remains an important goal for marketers of new products. This article examines the merits of a recently developed marketing oriented scale, called “open processing”, which is purported to measure an individual's openness or cautiousness tendencies with regard to new products, new sensations, new experiences, and information about them. In a test of the scale's concurrent validity, using self reports of new product trail/purchase behavior among female shoppers, the study found open processors to be more innovative than cautious processors, as was predicted. The study also explores the relationships between open processing, innovative behavior, and various demographic variables. Results indicated that (1) open processing is almost as strong a predictor of innovativeness as four commonly used demographic variables combined; and (2) that open processing is an influential moderator of the relationship between demographics and innovative behavior. Internorth, Inc.     

On a class of correlated queueing problems

This paper deals with a steady state behaviour of a discrete time, single channel, first come first served, finite space queueing problem. It is assumed that the departure probabilities depend on the queue length and that the departure at two consecutive time marks are correlated. The arrivals at two consecutive time marks are statistically independendent. However, the arrival probabilities are assumed to depend on the queue length. A few particular cases have also been discussed.     

Geographic Concentration in Indian Manufacturing and Service Industries: Evidence from 1998 to 2013

This paper uses a comprehensive new data source to document basic facts about geographic concentration among industries in India from 1998 to 2013. Unlike previous studies, our data allow us to accurately measure industrial concentration at the district level and cover manufacturing and services, as well as the formal and informal sectors. Our most striking finding is that average levels of industrial concentration fell dramatically between 1998 and 2013, driven by steep reductions in capital‐intensive manufacturing industries. We provide suggestive evidence that this increasing dispersion may be due to improvements in interregional transportation coupled with inefficient land management policies and limited labor mobility.     

Twenty-five years of business systems research and lessons for international business studies

Since 1992, the national business systems (NBS) approach has been increasingly used to analyse not only firm characteristics, structures and strategies within NBS, but also the nature of international business and its interactions with both national and transnational institutions. In reviewing 25 years of NBS literature, we heed calls in IB journals urging researchers to use NBS notions and findings in IB research. Our systematic review of 96 articles analyses the patterns and contributions of NBS literature, revealing four thematic junctures: (1) comparative business systems, (2) firm internationalisation and the management/organisation inside MNCs, (3) the role of internationalisation in the development of organisational capabilities and innovation and (4) the emergence of transnational communities in and across firms and societies. Themes are described in terms of (a) the research questions (RQ) they focus on, (b) how NBS approach investigates the RQ and what are the major findings, (c) how IB frames and approaches the same RQ, (d) how does the NBS approach extend the perspectives of IB and (e) what are the problems faced by NBS in terms of developing further insights into the RQ. Our review contributes to the recent endeavour of IB research to institutionalism, encouraging a productive dialogue between IB and NBS research.     

An application of the generalized Poisson difference distribution to the Bayesian modelling of football scores

The analysis of sports data, in particular football match outcomes, has always produced an immense interest among the statisticians. In this paper, we adopt the generalized Poisson difference distribution (GPDD) to model the goal difference of football matches. We discuss the advantages of the proposed model over the Poisson difference (PD) model, which was also used for the same purpose. The GPDD model, like the PD model, is based on the goal difference in each game that allows us to account for the correlation without explicitly modelling it. The main advantage of the GPDD model is its flexibility in the tails by considering shorter as well as longer tails than the PD distribution. We carry out the analysis in a Bayesian framework in order to incorporate external information, such as historical knowledge or data, through the prior distributions. We model both the mean and the variance of the goal difference and show that such a model performs considerably better than a model with a fixed variance. Finally, the proposed model is fitted to the 2012–2013 Italian Serie A football data, and various model diagnostics are carried out to evaluate the performance of the model.