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Bank failures are critical events that have far-reaching implications for the financial system and various stakeholders. This study aims to focus on analyzing the phenomenon of small bank failures in the USA.

This study adopts the coarsened exact matching (CEM) technique to enhance the reliability of the analysis. By matching similar observed characteristics, the CEM approach helps to address potential selectivity bias and facilitates a more accurate estimation of the treatment effect. This study uses a data set covering the period from 2000 through 2019 and includes 523 failed bank observations and 43,605 nonfailed bank observations.

The results reveal several key findings. Small banks, especially those with lower yields on earning assets, those with lower charge-offs on loans and leases, those with higher core capital ratios and those with higher Fed Funds rates are found to be more susceptible to failure.

Some results align with initial predictions, whereas others present contrasting outcomes.

This study underscores the significance of understanding the factors contributing to bank failure and emphasizes the importance of studying small bank failures in particular.

This study uses the CEM method. CEM is a comprehensive approach that combines matching, sample trimming and reweighting techniques. When applying CEM, researchers carefully select a set of core variables to achieve balance between the treated and control groups. The CEM process involves discretizing each continuous variable into distinct bins or categories, a process known as “coarsening.” It then requires an exact match among these binned variables between the treated and control units, which constitutes the matching step in CEM.

The main purpose of this paper is to analyse the influence of capital efficiency on the economic growth of Bangladesh using the Harrod-Domar (H-D) model.

We use annual data from 1980 to 2019 for this paper. Three steps are taken in the data analysis. First, to check the existence of a unit root, we use the augmented Dickey-Fuller (ADF) test and to determine co-integration among the variables, we use the Johansen-Juselius co-integration test. Next, for long-run estimation, we use the dynamic ordinary least square (DOLS) estimator. The sensitivity of the long-run estimations is further checked by the fully modified OLS (FMOLS) and autoregressive distributed lag (ARDL) estimators. Lastly, we use the Granger causality test to determine the long-run causality among the variables.

The long-run co-integration test validates the co-integrating relationship among the variables. DOLS estimations reveal that the economic growth of Bangladesh is negatively associated with the incremental capital output ratio (ICOR), validating the notion that capital efficiency matters for achieving higher economic growth. On average, an increase in ICOR by a unit tends to reduce economic growth in the long term by 0.75 percent. Our results also reveal no significant relationship between savings and economic growth when the model is extended. Finally, causality results indicate unidirectional causality between ICOR and economic growth.

Based on the results obtained, we argue that the enhancement of capital productivity could bring efficiency because ICOR is an inverse of capital productivity. Since Bangladesh’s capital productivity is considerably low compared with other neighbouring countries, it is suggested that firms should gradually move towards technological advancement and enhance economies of scale, etc. in the long run. Moreover, policies in favour of continuous skill development programmes could be highly effective in increasing capital productivity given that capital follows a vintage structure.

This is the first paper to analyse the economic growth pattern of Bangladesh using the traditional H-D model by incorporating variables such as savings and ICOR and also by relaxing the assumption of time-invariant (i.e. fixed) data of the variables. Moreover, this paper extends the traditional H-D empirical model by introducing key indicators and time breaks for Bangladesh’s economy through a stepwise regression process.

This paper investigates the impact of bank credit on agricultural productivity in the Central African Economic and Monetary Community (CEMAC) from 1990 to 2019. Studies’ results on the impact of bank credit on agricultural productivity are not conclusive. The studies demonstrate diverse outcomes which are debatable. The results are conflicting.

Agricultural value added (AGRVA) to the gross domestic product (GDP) proxies agricultural productivity while domestic credit to the private sector by banks (DCPSB), broad money supply, land, inflation (INF), physical capital (PHKAP) and labour supply are explanatory variables. The autoregressive distributed lag technique is utilized.

The co-integration test results show a long-run co-integration among the variables. The findings disclose that DCPSB, land and PHKAP impact positively on the AGRVA. Broad money supply, INF and labour impact negatively on the AGRVA to the GDP.

The results suggest that the CEMAC governments should encourage effective ways to increase bank credit flow to private enterprises in the agricultural sector through efficient bank's intermediation.

The governments should create more agricultural banks and improve the operation of existing ones to ensure direct credit to agricultural activities. The Bank of Central African Economic and Monetary Community should apply aggressive policy which eliminates all the bottlenecks undermining credit flow to the private sector in mutualism with agricultural productivity.

The commercial banks should give more credit to private sector to mutually benefit the agricultural sector and the banking sector. The governments of the CEMAC economies should expand funding into the capital market which considerably boosts agricultural productivity.

Studies’ results on the impact of bank credit on agricultural productivity are not conclusive. The studies demonstrate diverse outcomes which are debatable. The results are conflicting; some reveal positive impacts, some show negative impacts and others indicate U-shape behaviour. Hence, research is required to fill the lacuna.

Emerging economies have been highlighted as an important growth source of the global economy. However, this group of countries has not received enough academic attention yet. Therefore, this study aims to identify the impact of research and development (R&D) expenditure on economic growth in emerging economies.

The theoretical framework of the production function is applied to quantitatively analyse the impact of R&D expenditure on economic growth with a sample of 29 emerging economies in the period between 1996 and 2019.

The panel cointegration test confirms the existence of long-run cointegration relationships between economic growth and independent variables in these emerging economies. Besides, the estimated results show that the national R&D expenditure has positive effects on economic growth from both direct and interaction dimensions. This evidence has filled the empirical research gap in the R&D-growth nexus in the case of emerging economies. Finally, while gross capital and education have positive impacts on growth, corruption has a harmful effect on economic growth in these countries.

The results highlight that policymakers should enhance R&D expenditure and R&D activities as the key national development strategy. The investment in R&D not only helps emerging economies avoid the middle-income trap but also pushes these countries to successfully join the group of developed countries.

To the best of the authors’ knowledge, this research is among the first to examine the impact of R&D expenditure on economic growth with a homogeneous sample of emerging economies. The results are obviously helpful for policymakers to use R&D as the key development strategy for supporting economic growth in emerging economies in the future.

There will probably be nine billion people on the earth by 2050, meaning food consumption will rise dramatically. Pakistan, the fifth most populous nation in the world, is rapidly expanding its population, making it difficult for the nation to sustain its food supply. Unfortunately, the country's focus on ensuring food security has not kept up with the demographic shifts in its population. However, innovative solutions are sorely needed in the face of several worldwide problems, especially in the crucial agriculture sector. This underscores the need to integrate sustainable financial practices. Considering these circumstances, this research thoroughly examines the intricate relationship inside Pakistan between financial stability (FS), agricultural subsidies, and productivity. Acknowledging the underlying intricacies and asymmetries at work, this study aims to analyze the complex relationships influencing the nation's agricultural production.

The research tries to shed light on the subtle processes at the intersection of financial stability, agricultural subsidies, and agricultural productivity through a comprehensive investigation of these multiple challenges. A non-linear autoregressive distributive lag (NARDL) technique is used, using a dataset from 1980 to 2022.

The results show that FS has a mixed impact on agricultural productivity, both positive and negative. Increasing FS_POS has a beneficial influence on agricultural output, linked to a notable 1.404% increase in output. On the other hand, increasing FS_NEG causes a significant 11.441% decrease in agricultural output, demonstrating its negative impact on output. Subsidies for agriculture also have asymmetric impacts; SUB_POS and SUB_NEG influence variations in agricultural productivity. A substantial 2.414% rise in agricultural output is shown by SUB_POS, demonstrating its noteworthy beneficial influence. Conversely, SUB_NEG adds a relatively small increase of 1.659% in agricultural output. However, the different amounts of each person's contribution show how subtle their effects are.

The current study is limited to the relationship between financial stability, agricultural subsidies, and agricultural productivity, considering the inherent complexity and asymmetries at work in Pakistan only. Further studies are required in Asian markets to have a bigger picture of the agricultural sector.

Considering these critical empirical findings, the report recommends strategic strategies to promote long-term agricultural growth in Pakistan. These include providing integrated financial services customized to farmers' needs, such as credit, insurance, and savings alternatives. Transparency and efficiency in procedural frameworks and the formation of efficient public-private partnerships should be prioritized. Furthermore, improving agricultural subsidy schemes emerges as a crucial priority. Targeting marginalized farmers more effectively and optimizing distribution through transparent, digitally driven systems can significantly improve program performance.

This theoretical paper introduces a conceptual framework for Personal Cultural Heritage Management (PCHM), derived from prior research on migrants' information practices. It elaborates on the literature background and the development of the PCHM framework, highlighting the role of personal information management (PIM) and personal collections in the creation, access and utilization of cultural heritage information.

The study describes and explains the construction of the PCHM framework as a structured and self-motivated approach to personal heritage and identity learning.

Following the theoretical background and assumptions, along with the presentation of the key building blocks, the paper describes the key components of the framework, outlines their definitions and provides examples.

Theoretically, PCHM extends the current literature by encapsulating processes and actions employed by individuals to manage personal collections for cultural identity purposes, thereby underscoring the critical role personal collections play in both preserving and communicating cultural heritage.

PCHM can guide the development of support systems and policies to enhance cultural continuity and integration, thus empowering individuals to navigate their cultural identities confidently.

The PCHM framework creates a unique intersection between PIM and cultural heritage, providing a new perspective for understanding the dynamic evolution and formation of cultural identity among migrants.

This study aims to examine the relationship between institutional logics and specifications quality, and how this relationship is mediated by the legitimacy of the procurement process and stewardship behaviour.

This study draws on insights from institutional logics theory, and legitimacy and stewardship behaviour literature. We conducted an extended literature review to gain a comprehensive understanding of “institutional logics” and their manifestations in organizational contexts, utilizing the 2000–2024 data collected from the EBSCO, Scopus and Web of Science databases, complemented with Google Scholar. We gather that institutional logics manifest in several forms, and that while some organizations may thrive on a single logic, in certain contexts institutional logics can manifest in combinations – “multiple logics or hybrids”. Based on this understanding, we developed testable research hypotheses, predicting the influences of institutional logics – professional logic, efficient service logic and delivery (market) logic, on legitimacy, stewardship behaviour and specifications quality. We then carried out an empirical study, adopting a quantitative cross-sectional survey design with a self-administered questionnaire to test the hypothesized relationships. The empirical data were obtained from 162 procuring and disposing entities in Uganda and analyzed using the partial least squares structural equation modelling technique.

The study findings reveal that institutional logics exert a strong positive effect on the legitimacy of the procurement process and on stewardship behaviour, which, in turn, both positively influence specifications quality.

The study findings have implications for theory and practice. The study findings provide useful insights that support the conceptual and theoretical development of institutional logics theory and applications in procurement literature. In addition, the study findings enhance procurement managers’ understanding of the mechanisms through which institutional logics can foster specifications quality. However, considering the fact that the study was conducted in a single country context, and focused on the public sector only, the findings of the study might not be generalizable globally.

This study contributes to established knowledge about quality management and procurement by examining the legitimacy of the procurement process and stewardship behaviour of those involved in procurement processes as mechanisms through which procuring entities are able to use institutional logics to enhance specifications quality. In addition, the study highlights areas for future research that may be explored to increase understanding of the value of institutional logics in ensuring specifications quality, and the link between specifications quality and the general performance of procuring entities.

Cancer has become a priority among today’s health problems. Therefore, providing facilities that ensure high-quality cancer treatment has become an essential design problem. Additionally, a considerable number of studies have introduced the ‘healing environment concept’ as a substantial input for healthcare buildings. The purpose of this paper is to present a design guide for cancer treatment services that is compatible with the healing environment concept.

In this context, studies on the healing environment have been analyzed, and the legislation of some selected countries has been assessed. Then, all the filtered data are used to form the design guideline for chemotherapy department, radiation oncology department and inpatient care services under a new series of analysis criteria.

The resulting principles are revealed according to the criteria of general settlement principles, internal function relations, medical necessities, user experience, interior design, social interaction/privacy, safety, landscape design and outdoor relations by the help of proposed plans, diagrams and schematic drawings.

This research constitutes the first and yet only study in its field that aims to increase efficiency and user satisfaction and provide better patient-centered care while providing a design guide on health-care architecture.

This paper explores optimal service resource management strategy, a continuous challenge for health information service to enhance service performance, optimise service resource utilisation and deliver interactive health information service.

An adaptive optimal service resource management strategy was developed considering a value co-creation model in health information service with a focus on collaborative and interactive with users. The deep reinforcement learning algorithm was embedded in the Internet of Things (IoT)-based health information service system (I-HISS) to allocate service resources by controlling service provision and service adaptation based on user engagement behaviour. The simulation experiments were conducted to evaluate the significance of the proposed algorithm under different user reactions to the health information service.

The results indicate that the proposed service resource management strategy, considering user co-creation in the service delivery, process improved both the service provider’s business revenue and users' individual benefits.

The findings may facilitate the design and implementation of health information services that can achieve a high user service experience with low service operation costs.

This study is amongst the first to propose a service resource management model in I-HISS, considering the value co-creation of the user in the service-dominant logic. The novel artificial intelligence algorithm is developed using the deep reinforcement learning method to learn the adaptive service resource management strategy. The results emphasise user engagement in the health information service process.