Search results

Considering the evolving importance of green finance, this study uses climate-related development mitigation finance as a proxy of green finance and investigates the impact of green finance on ecological footprint as an indicator of environmental quality along with the influence of economic growth, renewable energy, greenhouse gas emissions, trade openness and urbanization across 47 developing countries over the period 2000–2018.

After finding the presence of cross-sectional dependency among variables, the second-generation panel unit root test was employed to detect the order of integration among the variables. Since all the variables were found to be stationary, Westerlund cointegration technique was employed to detect the long-run relationship among the variables. Then, the long-run elasticity among the dependent and independent variables was tested using fully modified ordinary least squares (FMOLS), dynamic ordinary least squares (DOLS) and pooled mean group–autoregressive distributed lag (PMG–ARDL) approaches.

The empirical findings suggest the presence of long-run relationship among all the variables, namely, ecological footprint, green finance, economic growth, renewable energy consumption, greenhouse gas emissions, trade openness and urbanization for the selected developing countries in the sample. Furthermore, economic growth, greenhouse gas emissions, trade openness and urbanization, all have a positive and significant impact on the ecological footprint, whereas renewable energy consumption and green finance have a significant and negative impact on the ecological footprint, which supports the view that environmental quality is improved with the greater use of renewable energy technologies and allocation of greater amounts of more green finance.

The empirical results of this study offer policymakers and regulators some implications for environmental policy for protecting the countries from ecological issues.

Women with learning disabilities are at high risk of losing their children, yet their experience of this process remains under‐investigated. This study looks at the experiences of eight mothers with learning disabilities who lose custody of their children. In‐depth, semi‐structured interviews were conducted to explore their experiences. Findings suggest that concern about the women's parenting tend to be raised by other people, rather than the women themselves. Many of the women appeared not to understand the process of their children's removal, and said that they felt bullied and victimised by it. All blamed their violent partner or the social workers for what had happened, while some blamed their ‘learning disabilities’. All commented that they had received inadequate support from both services and their families before and after their children were removed. All described intense feelings of loss. The psychological impact seemed to reinforce their feelings of powerlessness and brought the salience of their learning disabilities into focus. Service and clinical implications are addressed.

The paper aims to discuss the interaction processes and short‐term behaviours and motives in long‐term relationships between banks and their corporate clients.

The discussion is based on findings from four Portuguese case studies. Interviews made to major actors on both sides of each relationship were transcribed and analysed to investigate the buyer‐seller interaction process, and the interplay between the actors involved.

The paper contributes to knowledge concerning the nature of business banking relationships, provides insights about instability and stress therein, and suggests some factors that can generate or intensify that instability. Short‐term irregularities and stress are found to arise in the context of relationships' longer‐term continuity and stability.

The irregularities found were endogenous to the relationships and originated from one of the actors or from the transaction. No exogenous factors were analysed and further research should be done about them. Some instability was found associated with clients keeping a portfolio of banking relationships, but the management of such portfolios is largely unstudied, begging for more work. It is also suggested that the present study be replicated in other countries and contexts for comparative analyses.

The paper provides a framework for corporate managers and bankers alike to better understand the process of banking relationships. It highlights some factors that should be monitored as they impact on buying behaviour and on the interplay between banks and firms.

The paper highlights some “stress” factors that can impact on buying behaviour and on the interplay between banks and firms, providing a new insight about the instability of business relationships in the banking business, and suggests some factors that can generate or intensify that instability.

This study aims to examine the impact of renewable energy consumption on agricultural productivity while accounting for the effect of financial inclusion and foreign direct investment in Brazil, Russia, India, China and South Africa (BRICS) countries during 2000–2020.

The study has used the latest data from World Bank and International Monetary Fund databases. The dependent variable in the study is agricultural productivity. Renewable energy consumption, carbon emissions, financial inclusion and foreign direct investment are independent variables. Autoregressive distributed lag (ARDL) approach was used to examine the short-run and long-run impact of renewable energy consumption, carbon emissions, foreign direct investment and financial inclusion on agricultural productivity.

The findings imply that consumption of renewable energy, carbon emissions and foreign direct investment have a positive impact on agricultural productivity while financial inclusion in terms of access does not seem to have any significant impact on agricultural productivity. Providing farmers, access to financial services can be beneficial, but its usage holds more importance in impacting rural outcomes. The problem lies in the fact that there is still a gap between access and usage of financial services.

Policymakers should encourage the increase in the usage of renewable energy and become less reliant on non-renewable energy sources which will eventually help in tackling the problems associated with climate change as well as enhance agricultural productivity.

Most of the earlier studies were based on tabular analysis without any empirical base to establish the causal relationship between determinants of agricultural productivity and renewable energy consumption. These studies were also limited to a few regions. The study is one of its kind in exploring the severity of various factors that determine agricultural productivity in the context of emerging economies like BRICS while accounting for the effect of financial inclusion and foreign direct investment.

Provides a useful summary of research on value added (VA) reporting and shows how income statements can be rearranged to show gross or not (of depreciation) VA. Starts with descriptive research on its use in various countries, enumerates its advantages and limitations and goes on to review empirical research on VA firm performance, the informational content of VA (as against conventional) data in market valuation and its predictive ability. Suggests that VA disclosure should be mandatory in the USA and calls for further research on its usefulness.

This paper aims to explore the effectiveness of parental counseling in developing self‐esteem in children with neurological conditions.

Data were gathered via 92 questionnaires and 20 semi‐structured interviews with self‐selecting participants. Qualitative data were analysed through Interpretative Phenomenological Analysis.

The research evidences a correlation between self‐esteem of parents and child. Counselling can help create positive cycles which impact upon a child's self‐esteem. Four over‐arching themes were identified by parents and these take the reader through a process of living with neurological conditions.

Limitations of the research include a lack of differential between types of neurological conditions and/or identification of families of children who are born with neurological conditions as opposed to children who acquire them. Suggestions for future research include conducting similar research with a more specific cohort. The role of counselling in addressing trauma experienced by parents when a child acquires a neurological condition was also identified as a future research area.

It is suggested that counselling needs to be de‐stigmatised and made more understandable. Accessibility of counselling for parents, who sometimes find it difficult to leave the home, also needs to be addressed.

Issues of socialising are explored which could help raise awareness of the impact of public attitudes upon parental/child self‐esteem.

Research on the self‐esteem of children with neurological conditions is limited, as is research into the impact of parental counselling on offspring. This paper explores these under‐researched areas and as such is of value to parents and relevant health professionals.

The purpose of this paper is to present a modified bi-level integrated system collaborative optimization (BLISCO) to avoid the non-separability of the original BLISCO. Besides, to mitigate the computational burden caused by expensive simulation codes and employ both efficiently simplified and expensively detailed information in multidisciplinary design optimization (MDO), an effective framework combining variable fidelity metamodels (VFM) and modified BLISCO (MBLISCO) (VFM-MBLISCO) is proposed.

The concept of the quasi-separable MDO problems is introduced to limit range of applicability about the BLISCO method and then based on the quasi-separable MDO form, the modification of BLISCO method without any derivatives is presented to solve the problems of BLISCO. Besides, an effective framework combining VFM-MBLISCO is presented.

One mathematical problem conforms to the quasi-separable MDO form is tested and the overall results illustrate the feasibility and robustness of the MBLISCO. The design of a Small Waterplane Area Twin Hull catamaran demonstrates that the proposed VFM-MBLISCO framework is a feasible and efficient design methodology in support of design of engineering products.

The proposed approach exhibits great capability for MDO problems with tremendous computational costs.

A MBLISCO is proposed which can avoid the non-separability of the original BLISCO and an effective framework combining VFM-MBLISCO is presented to efficiently integrate the different fidelities information in MDO.

Surging natural disasters globally has precipitated renewed interests in disaster risk management. Though several global and regional disaster risk management policy frameworks have been put in place, it is necessary to evaluate their successes and capacities to deliver. This chapter reviews key disaster management frameworks, particularly the Yokohama Strategy, the Hyogo Framework for Action and the Sendai Framework for Disaster Risk Reduction. It examines the extent to which these policies shaped Africa’s regional disaster risk management processes, with an emphasis on sub-Saharan Africa (SSA). Through documentary analysis and scientific literature review, this chapter identifies key parameters that shaped SSA’s disaster risk reduction (DRR) processes and their implications for DRR policy instruments and impact studies. The analysis reveals a number of findings. First, the roll-out process of global disaster reduction and management policy processes and instruments is yet to optimally impact SSA, in terms of effective disaster management. Second, a more comprehensive understanding of the magnitude and severity of natural disasters could contribute to stem the damages linked to their occurrence. This is yet to be achieved. Third, paradigm shifts towards fully appreciating underlying disaster risk factors and manifestations could potentially support the practical drift from disaster coping and management towards risk identification, reduction and resilience building in SSA. Finally, instruments that prioritise capacity building (such as extension services training, research and development, information and communication), organisational governance, sustainable financing and technology, still relatively weak in SSA, should be stepped up to promote DRR capacities and strategies.

Recommending suitable doctors to patients on healthcare consultation platforms is important to both the patients and the platforms. Although doctor recommendation methods have been proposed, they failed to explain recommendations and address the data sparsity problem, i.e. most patients on the platforms are new and provide little information except disease descriptions. This research aims to develop an interpretable doctor recommendation method based on knowledge graph and interpretable deep learning techniques to fill the research gaps.

This research proposes an advanced doctor recommendation method that leverages a health knowledge graph to overcome the data sparsity problem and uses deep learning techniques to generate accurate and interpretable recommendations. The proposed method extracts interactive features from the knowledge graph to indicate implicit interactions between patients and doctors and identifies individual features that signal the doctors' service quality. Then, the authors feed the features into a deep neural network with layer-wise relevance propagation to generate readily usable and interpretable recommendation results.

The proposed method produces more accurate recommendations than diverse baseline methods and can provide interpretations for the recommendations.

This study proposes a novel doctor recommendation method. Experimental results demonstrate the effectiveness and robustness of the method in generating accurate and interpretable recommendations. The research provides a practical solution and some managerial implications to online platforms that confront information overload and transparency issues.