The Impact of Foreign Agricultural Aid and Total Foreign Aid on Agricultural Output in African Countries: New Evidence from Panel Data Analysis

Official Development Assistance may play an important role in increasing the resources to finance the agriculture sector and improve agricultural outcomes in African countries. Although this is a relevant issue, very few studies have investigated the link between foreign agricultural aid and national agricultural output. Using advanced econometrics techniques, this paper examines the impact of foreign agricultural aid and foreign aid on agriculture output in the panel data set of 29 African countries over the period of 1975–2013. In particular, we employed two estimation methods: Augmented Mean Group and Common Correlated Effects‐2SLS. The first method accounts for heterogeneous slope coefficients across group members and cross‐sectional dependency among variables, whereas the second method accounts for endogenous regressors. Our main findings indicate a small and positive impact of foreign agricultural aid and total foreign aid on agricultural output for low‐ and middle‐income countries. Furthermore, the Pairwise Dumitrescu‐Hurlin Panel Causality test shows evidence of a bidirectional causal relationship between agricultural aid and agricultural output for the full sample, noting that the result changes at the different group income level. Based on the empirical results, recommendations for future policy are given.     

Real Effects of Monetary Policy in New Zealand

This article analyses the dynamic effects of unexpected domestic and foreign monetary policy shocks on industrial output in New Zealand based on a new open economy macroeconomic model. Empirical analyses are performed using unrestricted recursive open economy vector autoregressive models involving policy and non‐policy variables for New Zealand and four of its most important trading partners (that is, Australia, Japan, the United Kingdom and the United States). The empirical findings are in accord with the qualitative predictions of the conventional monetary transmission mechanism applicable to a small open economy. Consequently, no empirical anomalies are observed in the dynamic behaviour of New Zealand industrial output in response to restrictive monetary innovations of domestic and foreign origin.     

Testing joint hypotheses when one of the alternatives is one-sided

We propose a class of statistics where the direction of one of the alternatives is incorporated. It is obtained by modifying a class of multivariate tests with elliptical confidence regions, not necessarily arising from normal-based distribution theory. The resulting statistics are easy to compute, they do not require the re-estimation of models subject to one-sided inequality restrictions, and their distributions do not require bounds-based inference. We derive explicit distribution and power functions, using them to prove some desirable properties of our class of modified tests. We then illustrate the relevance of the method by applying it to devising an improved test of random walks in autoregressive models with deterministic components. In this example, the usual alternative to a unit root is one-sided in the direction of stable roots, while deterministic components are allowed to go either way, and we show that it is beneficial to take the partially one-sided nature of the alternative into account.     

Comparing early warning systems for banking crises

Despite the extensive literature on prediction of banking crises by Early Warning Systems (EWSs), their practical use by policy makers is limited, even in the international financial institutions. This is a paradox since the changing nature of banking risks as more economies liberalise and develop their financial systems, as well as ongoing innovation, makes the use of EWS for informing policies aimed at preventing crises more necessary than ever. In this context, we assess the logit and signal extraction EWS for banking crises on a comprehensive common dataset. We suggest that logit is the most appropriate approach for global EWS and signal extraction for country-specific EWS. Furthermore, it is important to consider the policy maker's objectives when designing predictive models and setting related thresholds since there is a sharp trade-off between correctly calling crises and false alarms.     

Fair valuation of insurance liabilities via mean-variance hedging in a multi-period setting

A general class of fair valuations which are both market-consistent (mark-to-market for any hedgeable part of a claim) and actuarial (mark-to-model for any claim that is independent of financial market evolutions) was introduced in Dhaene et al. [Insurance: Mathematics & Economics, 76, 14–27 (2017)] in a single period framework. In particular, the authors considered mean-variance hedge-based (MVHB) valuations where fair valuations of insurance liabilities are expressed in terms of mean-variance hedges and actuarial valuations. In this paper, we generalize this MVHB approach to a multi-period dynamic investment setting. We show that the classes of fair valuations and MVHB valuations are equivalent in this generalized setting. We derive tractable formulas for the fair valuation of equity-linked contracts and show how the actuarial part of their MVHB valuation decomposes into a diversifiable and a non-diversifiable component.     

Demand for and Assessment of Audit Quality in Private Companies

Financial statement audits are mandated in most countries, thus making it difficult to distinguish between auditing driven by private incentives versus that driven by regulation. Who would ask for an audit, and how would its quality be assessed in the absence of regulation? Many private companies in Canada get their financial statements audited even though the law does not require it. In this field study, we conduct interviews to discover reasons for demanding an audit, and criteria used to assess their quality. Our study reveals that both internal stakeholders (management, boards, and employees) as well as external stakeholders (customers, banks, and private equity firms) request audits. Users evaluate audit quality based on a variety of criteria such as the auditor's accounting expertise, the absence of errors, the fees involved, risk assessments offered, allocation of effort, internal control, and general business advice. Implications for audit regulations are discussed.     

Healthcare professionals’ perceptions of risk in the context of genetic testing for the prediction of chronic disease: a qualitative metasynthesis

Advances in genomic technologies and a growing trend towards stratified and preventive approaches to medicine mean that increasing numbers of individuals may have access to information about their genetic makeup, and their risk of developing diseases. This is likely to impact on healthcare professionals involved in the delivery of genetic tests, or in supporting patients who are affected by a disease with a genetic risk factor. It is therefore important to understand healthcare professionals’ perceptions about providing these services, and how they feel about communicating information about genetic risk to patients. This paper provides a systematic review and metasynthesis of qualitative research exploring healthcare professionals’ perceptions of genetic risk in the context of predictive genetic testing for chronic disease. Healthcare professionals expressed a range of reservations about the utility of predictive testing in this context. Professionals judged patients’ understanding of risk information to be limited and subject to bias and a range of sociocultural influences. Concerns about the psychosocial impact of genetic risk information were frequently cited, both in relation to individual patients and the wider impact on their families and communities. The need for provision of multidisciplinary support was described. The concept of responsibility was also an important theme. Healthcare professionals recognized the responsibility that accompanies risk knowledge, and that ultimately this responsibility lies with the patient, not the provider. Our analysis suggests that professionals’ evaluation of the utility of predictive genetic testing is influenced not only by resource deficits, but may also be interpreted as a response to challenging ethical and social issues associated with genetic risk, that are not well aligned with current medical practice.     

Managing integration and coordination in cross‐functional teams: an international study of Concurrent Engineering product development

This study is about the influence of integration and coordination of organisational mechanisms on the effectiveness of the process of product development by cross-functional teams. The sample consists of 50 cross-national Concurrent Engineering (CE) project teams, from companies in Australia, Canada, Denmark, Finland, UK, and USA, in the technology intensive industries of aerospace, automobile, chemical, computer, electronics, shipbuilding, and telecommunications. The study offers a diagnostic tool which measures the effectiveness of the Concurrent Engineering team's process in terms of the behaviours and attitudes of the engineering/R&D and manufacturing representatives on the product development team: (a) two-way communication, (b) overlapping problems-solving, (c) readiness to use uncertain and ambiguous information released by team counterparts for decision-making, and (d) readiness to release uncertain and ambiguous information to team counterparts. The findings of the study are that integration mechanisms, such as team-based rewards and job rotation, and coordination mechanisms, such as project structure and information technology, and project leader's management style, support an effective team process, and overcome the negative effect of geographic distance and time-difference in cross-national teams. In addition, there are interesting implications for organisational learning in the practice of Concurrent Engineering for product development, and of the implications of these findings for practice and future research.     

Blockchain technology in the smart city: a bibliometric review

Quality & Quantity - Blockchain can function as a foundational technology with numerous applications in smart cities. The objective of this paper is twofold. First, it provides a detailed...     

The inoperability extended multisectoral model and the Role of Income Distribution: A U.K. Case Study

In this paper, an effort is made to enrich the current input–output (I–O) methodologies employed for studying disruptive events, by extending the I–O framework and including all the phases of the circular flow of income into the overall disaster impact. In this respect, the Inoperability Extended Multisectoral Model is created and implemented in order to estimate the higher‐order effects in terms of value added and disposable income. The social accounting matrix, referred to the United Kingdom, is constructed and proposed as a starting point for assessing the effects of a system perturbation related to the eruption of the Volcano Eyjafjallajökull, in mid‐April 2010, which affected air transport services due to the full closure of the U.K.'s airspace for several days. Finally, the ranking of those commodities and institutional sectors which are badly affected can provide guidance to policymakers in order to minimize the overall impact on the economy.