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This paper addresses the question “Does the growth of nonperforming loan ratio (GNPL) have a temporal impact on private credit growth (PCG)?” for the Bangladesh banking industry during and after the global financial crisis of 2008.

It employs the autoregressive distributed lag (ARDL) model to examine the temporal equilibrium relationship and causality between PCG and GNPL.

The results of ARDL bound tests confirm the existence of a single cointegrating vector and temporal equilibrium relationship between variables of interest. According to the error correction mechanism (ECM), there is unidirectional causality from GNPL to PCG in the long run and short run. In the long run, higher GNPL curtails PCG since bankers use the nonperforming loan ratio as a signal and indicator of credit risk in their loan decision-making. In the short run, GNPL positively impacts PCG. It may be because banks go through a rigorous process before declaring a loan as nonperforming that takes time. At the same time, bankers' loan decisions may also be guided by the banks myopic concern of reputation in the short run.

The paper recommends policy prescriptions for the bank risk management, regulatory bodies and the legal authorities. The lending policy of banks should consider the legacy of bad assets. The efficiency of the legal system can also aid in effectively implementing the regulatory guidelines.

The paper inaugurates a bivariate cointegration analysis between PCG and GNPL in the literature. It has utilized quarterly aggregate data in the context of a developing economy like Bangladesh.

The paper aims to understand the stages of the social innovation process and how it can be used for sustainable development.

This single case study used multiple sources, especially data from extensive field visits and selective in-depth interviews. Direct observation, web content analysis, journals, annual reports and news articles were also used.

The findings show that BRAC institute of skills development (BISD) adopted a unique formula for the social innovation process: problem identification, new idea, design prototype, pilot, perfect and scale up. This study also finds that BISD has a significant socio-economic impact in Bangladesh. The impacts of BISD are associated with several United Nations (UN) Sustainable Development Goals (SDGs), including SDG 1 on poverty, SDG 4 on inclusive learning, SDG 5 on gender equality and women empowerment, SDG 8 on decent work and economic growth and SDG 16 on social inclusion.

The discussions of this study ultimately pave a clear roadmap for policymakers, practitioners and academics to improve mechanisms for sustainable development through social innovations in emerging countries.

This paper provides a practical application of the social inclusive innovation process theory by which vocational training institutes can scale their sustainable impact. More knowledge is needed on how organisations can implement social innovation projects in emerging countries. This paper provides exploratory evidence to fill this gap. It demands a promising area of interest to investigate further research on the compatibility of social innovation in skills development programmes to gear up the status of an underprivileged community.

This study aims to investigate how city dependence and city social bonding determine city brand love. In addition, the study examines whether there are different resident segments that exhibit distinct behaviour in relation to city brand formation.

The study is based on primary responses collected from 595 residents from Khulna city in Bangladesh. The research model is tested using partial least square (PLS) structural equation modelling. The resident segments were identified using PLS prediction-oriented segmentation method.

Results show that city dependence (i.e. dependence on urban facilities and services provided by the city) and city social bonding (i.e. social interactions amongst residents in the city) lead to city brand love through city satisfaction and city identification. In addition, the study finds that city social bonding and city satisfaction are important for the relationship-reliant residents, whereas city dependence and city identification are important for the resource-reliant residents.

Future research can investigate the relationship between the length of residence and native vs non-native residents’ influence on city brand love formation.

The city brand managers and planners should adopt a resident-inclusive approach that considers the different needs of the residents to engender city brand love.

The study contributes to city branding literature by empirically investigating the under-researched topic of city brand love by identifying the key constructs and their role in determining city brand love. Further, it shows that the route to city brand love formation is different based on residents’ needs.

This study aims to investigate how place satisfaction (SAT) and residents’ ambassadorship behaviour (RAB) are related to residents’ place attachment (PAtt). In addition, this relationship is examined at the city and the neighbourhood levels.

This study is based on a questionnaire survey of 1,160 residents from Khulna city in Bangladesh. This research model is tested using structural equation modelling.

The findings support the four-dimensional (place dependence, place social bonding, place identity and place affect) second-order construct of PAtt. It also highlights that RAB mediates the relationship between residents’ SAT and PAtt at the city and neighbourhood levels.

Future research can investigate how RAB changes over time. In addition, the research model can be tested in multi-city and multi-country contexts.

The results from this study emphasise the need for urban planners to satisfactorily meet the needs of the residents to engender positive word-of-mouth, which can lead to greater PAtt.

This study contributes by improving the understanding of the way PAtt is influenced by SAT and RAB. Furthermore, it shows that this influence varies across city and neighbourhood levels.

Climate change is affecting people displacement in Bangladesh by both sudden environmental events and gradual environmental change. This paper aims to assess the sustainable adaptation measures for resolving the displacement problem induced by climate change considering the socioeconomic differences between the past and the present location of living places for island dwellers of the south-eastern coast of Bangladesh.

Both qualitative and quantitative approaches were adopted for conducting the study. The main tool of the household survey was a questionnaire survey. In addition to the estimate of displacement, the authors have used hazard impact analysis, weightage analysis and sustainable adaptation analysis with various ranking. Meaningful data were analyzed through SPSS software and presented through statistical techniques.

Climate change-induced different natural disasters, such as cyclone, tidal surge, tidal flood and coastal erosion, were frequent in the study areas and responsible for mass displacement. After displacement, people lost not only their identity but also social and cultural harmony and faced different economic and environmental crises. However, nearly 20 types of adaptation options were identified for protection from the displacement of coastal people.

The study prescribed 11 specific criteria and 4 principles of sustainable adaptation options for resolving the climate displacement problem. Moreover, seven adaptation practices showed high sustainability, ten showed medium sustainability and five showed low sustainability in terms of effectiveness, efficiency and implementation ability.

The study would help to establish sustainable adaptation measures through the combination of environment, economic and social harmony with regard to the Sustainable Development Goals.

This paper aims to present a comprehensive overview of open-access publications by Indian non-profit organizations over the past two decades. The study explores the growth, licensing patterns, citations, authorship patterns and other parameters to understand the scholarly output.

The study involves data collection from OpenAlex scholarly catalog. Data analysis uses OpenRefine, a data carpentry tool, to examine and extract various aspects of scholarly output. A total of 89,149 scholarly outputs from 2004 to 2023 were analyzed using statistical and bibliometric methods.

The findings revealed a positive publication growth trend, with 57.74% open access. Gold OA dominates, with 69.61% of papers in 2023. Licensing patterns reveal that 63.75% of OA papers have licenses. Most papers have multiple authors, with 24.83% of over ten authors receiving 60.12% of citations. “Medknow” is the leading publisher, and “The Indian Journal of Ophthalmology” tops journals. Contributions from repositories like SSRN and PubMed are significant. The study also examines citation patterns across different OA types and identifies the top 30 research areas, emphasizing “Medicine” as the most prevalent.

The identified trends and patterns offer valuable insights for policymakers, researchers and organizations to enhance accessibility and impact. This study stresses sustained efforts for transparency and democratization of knowledge in the non-profit sector.

This study filled a gap in existing research by focusing on Indian non-profits, highlighting their roles and impacts often overlooked in scholarly literature. This study provides insights into the growth of open-access publications and their implications in the non-profit sector.

This paper aims to examine the issues of environment and climate change policy gaps and their impacts on the natural resources and ecosystems in southwest coastal Bangladesh. The effects of the increasing human activities as well as natural disasters due to the environment and climate change are analysed. The policy options as a response to mitigation, adaptation and possible human suffering as consequences are explored through discourse analysis.

This study applied focus group discussions, workshop and field visits to collect the data and information to explore environment and climate change policy-related problems.

It was found that there is a need for major policy reform to guide development interventions to reverse salinity, waterlogging, migration and groundwater recharging problems for sustainable environmental and ecosystem management in the region.

The paper then underscores the need for governments at all levels to adequately fund geo-information-based development interventions as adequate and proactive responses to environmental management and development to combat future environmental and climate change problems in the region.

Climate change impacts people ' s life directly or indirectly in several ways and displacement is one such indirect effect. This paper aims to bring this fact to light as Bangladesh is going to face severe problems due to displacement of population predicted by researchers.

This paper is an outcome of a thorough study of Bogi village in the southwestern coastal region of Bangladesh. Several factors like demographic condition, natural disasters, land loss and changes in land use pattern, have been taken into consideration. Methods used for data collection were questionnaire survey and focus group discussions in the study area.

The nature and extent of displacement are found by comparing the changes in occupation, location of settlement and permanent migration of family members. Population growth rate decreased in recent years as the annual growth rate for both sexes was 0.89 in between 1991 and 2001 but in recent years from 2001 to 2005 it was 0.63, which is a clear indication that the natural growth is hampered or major proportion of the population is migrating.

The paper provides insights into the major reasons for displacement, especially loss of land and occupation caused by cyclone, storm surge and erosion. The assessment of the conditions allows the listing of measures to address the problem.

The present research attempts to delve into the climate-agriculture-migration nexus to ascertain whether the variation in agriculture output due to climatic factors has a significant influence on the emigration flows from the Asian and African continents.

The present study draws upon a rich panel of data from 27 countries (14 African and 13 Asian) between 1995 and 2020. The first stage least square, OLS and 2SLS techniques have been employed to examine the relationships between climatic factors and international migration, climatic factors and agriculture output, and agriculture output and international migration, respectively.

The results exhibit a positive relationship between temperature and international migration. The influence of temperature on agriculture output is negative but insignificant while precipitation promotes agriculture output. In addition, agriculture output negatively influences international migration, and these findings establish a climate-agriculture-migration relationship.

To counteract the climate-agriculture-migration nexus, it is incumbent upon governments to conduct extensive field trials and data collection exercises to assess the influence of climate in separate agro-ecological zones and devise policies accordingly.

The literature concerning the interrelationship between climatic factors, agriculture and migration is scarce and what is available pertains to different contexts. Moreover, no studies are based on Asia and Africa; the continents have a high dependence on agriculture and outmigration rates, and the present research covers this important gap in the literature.

Climate change has several impacts on people ' s lives, directly or indirectly, and displacement is one such indirect effect. The purpose of this paper is to bring this fact to light, as Bangladesh is going to face severe problems due to the displacement of population predicted by researchers.

This paper is an outcome of a thorough study of Bogi village in the southwestern coastal region of Bangladesh. Several factors such as demographic conditions, natural disasters, land loss and changes in landuse pattern, have been taken into consideration. Methods used for data collection were questionnaire survey and focus group discussions in the study area. The nature and extent of displacement are found by comparing the changes in occupation, location of settlement and permanent migration of family members.

Population growth rate decreased in recent years as the annual growth rate for both sexes was 0.89 in between 1991 and 2001 but in recent years, from 2001 to 2005, it was 0.63, which is a clear indication that the natural growth is hampered or a major proportion of the population is migrating. On the other hand, 361 hectors of land were lost throughout the last 18 years. As a result, 93 percent of people in that area were forced to move to other places for at least one time in their life. The major reason of displacement found was loss of land and occupation caused by cyclone, storm surge and erosion.

The study findings depict scenarios of rural urban migration due to disasters and critically found out the sectors to be addressed. The study can be a representative of the condition of almost all the remote coastal region and may work as a hammering tool to formulate strategic options to deal with the environmental issues and socio-economic situation.

Sophisticated but commonly used methods and techniques have been used to find out the problems associated with climate change and disasters in the coastal belt. The study has taken an initiative to identify climate change impacts at micro level on the basis of spatial and non-spatial attributes. The way this study was conducted can be a popular path to put future researches on a human-oriented track.