Search results

This article explores the neglected issue of the overrepresentation in the child protection system of children from ethnic, cultural, religious, racial, and linguistic minorities. It focuses on the accommodation of children’s diverse backgrounds within the s 31(2) threshold and s1 “best interests” stages of intervention under the Children Act 1989. First, it introduces the ethnic child protection penalty as a new tool for capturing the complex nature of overrepresentation of these children. Second, it proposes a framework for understanding the judicial approach in higher court decisions on the current extent and nature of accommodation. Third, it employs the penalty concept to help explain why case law analysis reveals difficulties with the current factor-based approach, whereas empirical research suggests generally satisfactory accommodation in practice. It concludes by proposing a contextualized framework for decision-making in relation to child protection.

The EU prudential regime for investment firms comprising the Directive (EU) 2019/2034 (IFD) and Regulation (EU) 2019/2033 (IFR) introduces a fit-for-purpose capital framework for investment firms. The capital impact on the practice of investment management can be material depending on firms’ specific business models and risk profiles, which may require them to take strategic decisions with respect to the services they provide. Despite the importance of this issue for the practice of investment management, there exists no study among the existing studies that focuses on this issue. This study aims to fill this gap in the literature.

This paper reviews the calibration approaches the European Banking Authority (EBA) has used by exploring the deficiencies of the regime with respect to the calibration of categorization thresholds and coefficients that are used by the EBA to calculate regulatory capital requirements.

This paper sets out that the choice of the relevant percentile for setting the firm categorization thresholds was not based on any theoretical rule. It also discusses that the calibration of the K-factors was subjective and lacked consistency. In addition, it criticizes the sample that the EBA used for business model coverage on the grounds that it was unbalanced, resulting in certain K-factors driving the overall capital impact.

Further research is needed on the calibration of thresholds as this will remain a crucial factor for the effectiveness of the new regime. In particular, a more data-driven and transparent approach would be necessary to ensure the accuracy and consistency of the thresholds.

This paper leads to the policy implication that, despite its merits that overweigh its shortcomings, potential market competition and financial stability issues that may stem from inconsistencies and a general lack of objectivity in certain aspects of the regime should not be underestimated by the EU policy makers.

The present paper contributes to the existing knowledge primarily by reviewing the EBA’s calibration approaches with respect to the K-factor coefficients and firm categorization thresholds, concluding that lack of objectivity and precision in the relevant methodologies could distort capital allocation decisions in the practice of investment management.

The purpose of this paper is to present an extension to a framework based on the information structure (IS) model for combining information filtering (IF) results. The main goal of the framework is to combine the results of the different IF systems so as to maximise the expected payoff (EP) to the user. In this paper we compare three different approaches to tuning the relevance thresholds of individual IF systems that are being combined in order to maximise the EP to the user. In the first approach we set the same threshold for each of the IF systems. In the second approach the threshold of each IF system is tuned independently to maximise its own EP (“local optimisation”). In the third approach the thresholds of the IF systems are jointly tuned to maximise the EP of the combined system (“global optimisation”).

An empirical evaluation is conducted to examine the performance of each approach using two IF systems based on somewhat different filtering algorithms (TFIDF, OKAPI). Experiments are run using the TREC3, TREC6, and TREC7 test collections.

The experiments reveal that, as expected, the third approach always outperforms the first and the second, and that for some user profiles, the difference is significant. However, operational goals argue against global optimisation, and the costs of meeting these operational goals are discussed.

One limitation is the assumption of independence of the IF systems: in real life systems usually use similar algorithms, so dependency might occur. The approach also tends to be examined with the assumption of dependency between systems.

The main practical implications of this study lie in the empirical proof that combination of filtering systems improves filtering results and the finding about the optimal combination methods for the different user profiles. Many filtering applications exist (e.g. spam filters, news personalisation systems, etc.) that can benefit from these findings.

The study presents and compares the contribution of three different combination methods of filtering systems to the improvement of filtering results It empirically shows the benefits of each method and draws important conclusions about the combination of filtering systems.

This paper aims to examine the relationship between foreign ownership and firm performance, using an approach which the authors show is more advanced than existing methods, and more aligned with accepted theory and conceptual frameworks developed in international business. The authors demonstrate that simply relying on a binary distinction between foreign and domestic firms ignores much of the information regarding the importance of ownership structure and is disconnected from the wider literature on ownership structure, motivations for Foreign Direct Investment (FDI) and performance.

The authors illustrate this by using a threshold estimation method to endogenously uncover the level of foreign ownership up to which the transfer of foreign firm advantage from the parent company to the affiliate is the strongest.

The results show that for Germany, Poland, Italy and the UK, there are significantly different thresholds of foreign ownership over the period, 2001-2010. Due to non-linearities and different thresholds, the authors argue that before one can entertain secondary considerations concerning foreign firm impact on host countries, one needs to apply the appropriate approach.

This is the first paper that uses an endogenous threshold approach on a large firm level data set to show that there are significant differences and non-linearities in the relationship between foreign ownership and productivity.

This chapter offers a conceptual perspective of what students need to understand to understand entrepreneurship, and educators’ views on how best to educate students in it, in response to calls for a greater understanding of the learning environment. The research uses the lens of the threshold concept framework to inform a conceptual approach to entrepreneurship education. The threshold concept framework posits that in any academic discipline there are concepts that have a particularly transformative effect on student learning representing a transformed way of understanding something, without which the learner cannot progress.

Research was undertaken in three stages to identify what is distinctive about thinking like an entrepreneur, how to educate students to think like entrepreneurs and how students understand thinking like entrepreneurs. The first and second stages of the study are the focus of this chapter. Candidate threshold concepts in entrepreneurship and educators’ perspectives of effective ways to educate students in entrepreneurship are presented.

Data from 11 individual and group semi-structured interviews conducted with 18 entrepreneurship educators in 10 higher education institutions across the UK was integrated with findings from a Delphi survey with 10 expert entrepreneurs.

By offering the perspectives of entrepreneurship educators and entrepreneurs, this chapter makes a valuable contribution to a conceptually grounded and innovative approach to entrepreneurship education.

The objective of this paper is to simultaneously identify influential articles, journals, institutions, and researchers in marketing research in recent years using a threshold citation analysis.

The threshold citation analysis counts the number of times a research work is cited by articles published in a set of elite marketing journals. In order to be included in the analysis, the research work must be cited 18 or more times. This threshold is used to measure influence and is unique in the ranking of marketing research. The threshold citation analysis incorporates the quality, the importance, and the influence of research works in the ranking criteria and is not limited to a set of journals nor confined by the year a research work is published.

The three frequently cited articles in marketing research are Fornell and Larcker, Baron and Kenny, and Anderson and Gerbing. Journal of Marketing, Journal of Marketing Research, and Journal of Consumer Research are the three marketing journals having the greatest influence in marketing research. As for the ranking of institutions, the three most influential institutions in marketing research are Northwestern University, the University of Pennsylvania, and the University of Michigan while the three frequently cited authors in marketing research are Richard Oliver, Valarie Zeithaml, and James Anderson.

First, this study identifies influential research works, journals, institutions, and researchers in marketing simultaneously and is in sharp contrast to the traditional approaches that identify influential research works, journals, institutions, and researchers separately. Second, this analysis mitigates the limitations that have plagued the quantity oriented publication‐based approach and the quality oriented citation‐based approach, making these findings more robust and inclusive. Finally, this paper identifies non‐marketing journals, non‐marketing articles, and scholarly books that have significant impact on contemporary marketing research. Consequently, this study offers new and comprehensive insights to the rankings research in marketing that were neglected by previous studies.

This paper proposes an objective metric to trigger bank recovery. Banks’ living wills involve both recovery and resolution. Since it may not always be clear when recovery plans or actions should be triggered, there is a role for an objective metric to trigger recovery.

We outline how such a metric could be constructed meeting criteria of adequate loss absorption; distinguishing between weak and sound banks; little susceptibility to manipulation; timeliness; scalable from the individual bank to the system.

We show how this would have worked in the UK, during 2007-2011.

This approach has the added advantage that it could be extended to encompass a whole ladder of sanctions of increasing severity as capital erodes.

The purpose of this paper is to introduce an innovative procedure for digital historical documents image binarization based on image pre‐processing and image condition classification. The estimated results for each class of images and each method have shown improved image quality for the six categories of document images described by their separate characteristics.

The applied technique consists of five stages, i.e. text image acquisition, image preparation, denoising, image type classification in six categories according to image condition, image thresholding and final refinement, a very effective approach to binarize document images. The results achieved by the authors' method require minimal pre‐processing steps for best quality of the image and increased text readability. This methodology performs better compared to current state‐of‐the‐art adaptive thresholding techniques.

An innovative procedure for digital historical documents image binarization based on image pre‐processing, image type classification in categories according to image condition and further enhancement. This methodology is robust and simple, with minimal pre‐processing steps for best quality of the image, increased text readability and it performs better compared to available thresholding techniques.

The technique consists of limited but optimized pre‐processing sequential steps, and attention should be given in document image preparation and denoising, and on image condition classification for thresholding and refinement, since bad results in a single stage corrupt the final document image quality and text readability.

The paper contributes in digital image binarization of text images suggesting a procedure based on image preparation, image type classification and thresholding and image refinement with applicability on Byzantine historical documents.

In this study, the authors examine how economic freedom mediates the impact of foreign direct investment (FDI) on economic growth in Africa.

By using data from 41 countries over the period 2000–2017, the authors invoke Seo and Shin's (2016) sample splitting approach while relying on the recently developed Seo et al.'s (2019) computationally robust bootstrap algorithm to achieve the purpose of this study.

The authors find evidence of economic freedom threshold that bifurcates the link between FDI and economic growth in Africa. More precisely, FDI does not improve overall economic growth for African countries whose economic freedom index is below the estimated threshold while significantly spurring growth for African countries with economic freedom above this threshold.

African countries need to strive towards improving their level of economic freedom through the strengthening of rule of law, reducing government size, promoting regulatory efficiency and further opening of the goods and capital markets.

The association between FDI and economic growth has been well documented. While the positive theoretical postulations are almost conclusive, empirical literature on the precise effect of FDI remains contentious and far from being settled. What is missing in the existing literature in Africa is whether countries' level of economic freedom mediates how FDI explains the variations in economic growth across African countries. The authors fill this research gap.

The purpose of this study is to seek to re-examine the threshold effects of public debt on economic growth in Africa.

This study applies panel smooth transition regression approach advanced by González et al. (2017). The method allows for both heterogeneity as well as a smooth change of regression coefficients from one regime to another.

A debt threshold in the range of 62–66% is estimated for the whole sample. Low debt is found to be growth neutral but higher public debt is growth detrimental. For middle-income and resource-intensive countries, a debt threshold in the range of 58–63% is estimated. As part of robustness checks, a dynamic panel threshold model was also applied to deal with the endogeneity of debt, and a much higher debt threshold was estimated, at 74.3%. While low public debt is found to be either growth neutral or growth enhancing, high public debt is consistently detrimental to growth.

The findings of this study show that there is no single debt threshold applicable to all African countries, and confirm that the debt threshold level is sensitive to modeling choices. While further analysis is still needed to suggest a policy, the findings of this study show that high debt is detrimental to growth.

The novelty of this study is twofold. Contrary to previous studies on Africa, this study applies a different estimation technique which allows for heterogeneity and a smooth change of regression coefficients from one regime to another. Another novelty distinct from the previous studies is that, for robustness checks, this study divides the sample into low- and middle-income countries, and into resource- and nonresource intensive countries, as debt experience can differ among country groups. Further, as part of robustness checks, another estimation method is also applied in which the threshold variable (debt) is allowed to be endogenous.