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Coastal and floodplain areas are on the frontline of climate change in Bangladesh. Small-scale coastal and floodplain fishing communities of the country face a host of cross-scale stressors continually, some induced by climate change, and they have developed coping and adaption strategies based on customary social and experiential learnings. This paper aims to examine the coping and adaptation strategies that small-scale fishing communities undertake in the face of stresses including climate change and variability.

This research takes a nuanced ethnographic-oriented approach based on around two-year-long field study in two coastal and floodplain fishing villages, represented by two distinct ethnic groups. The study adopts direct observational methods to denote the ways small-scale fishing communities address the arrays of stressors to construct and reconstruct their survival and livelihood needs.

It was observed that fishers’ coping and adaptation strategies comprise a fluid combination of complex overlapping sets of actions that the households undertake based on their capitals and capabilities, perceptions, socio-cultural embeddedness and experiential learnings from earlier adverse situations. Broadly, these are survival, economic, physiological, social, institutional and religiosity-psychological in nature. Adaptation mechanisms involve some implicit principles or self-provisioning actions that households are compelled to do or choose under given sets of abnormal stresses to reach certain levels of livelihood functions.

Based on empirical field research, this paper recognizes small-scale fishers’ capability and adaptability in addressing climate change-induced stresses. Policymakers, international development planners, climate scientists and social workers can learn from these grassroots-level coping and adaptation strategies of fishing communities to minimize the adverse effects of climate change and variations.

Existing literature on how social learning stemming from flood experience influences management and adaptation to flood-risks, and resilience-building is scant. In this context, the purpose of this study is to map the processes and examine the application of social learning in formulating coping measures and adaptation strategies in Bangladesh's wetland communities.

To bridge this research gap, conceptually, we formulated the Social Learning from Disasters (SLD) Framework to explain the process of social learning from flood experience and the mechanism of its influence on community resilience. Applying a qualitative research approach, the empirical investigation was carried out in the Fenarbak Union of Sunamganj District, Bangladesh. Using a participatory approach and qualitative techniques, the required primary data were procured.

The results of the study yielded three key findings: (1) social learning and memory have often enabled wetland communities to adopt diverse coping and adaptive measures in response to flash floods; (2) social learning-based actions have resulted in reduced flood-risk and enhanced community resilience to flash floods, especially when these actions were supported by both local and external innovations and (3) the aforementioned social learning stemmed primarily from first-hand experience of flash floods, which was shared via various collective learning platforms.

The study followed a participatory methodology and the data were procured from two communities in the union level unit of Bangladesh. Therefore, generalization to apply to the larger context should be made with caution. Also, the study represents a cross-sectional study, and thus understanding of the long-term trend is not possible.

The findings of the study have direct and profound implications for local community-level disaster-risk planning. As there are serious deficiencies in documenting and preserving social learning for community resilience and development planning, this study offers a conceptual framework, along with empirical evidence, for transforming these lessons learned into practical actions for change.

The findings of the study highlight the importance of social learning as a collective effort and provide empirical evidence of innovative adaptations to change. These results are critical to formulating societal strategies for disaster-risk management as well as to enhance community resilience.

Limited efforts have hitherto been made to determine (1) how the actual process of social learning from disaster shocks takes place, and (2) how innovative adaptation strategies lead vulnerable communities to take up social learning-based actions. Our research attempts to fill these knowledge gaps by providing an evidence-based account of community resilience-building responses to flash flood disasters.

The plethora of contributions to social learning has resulted in a wide range of interpretations, meanings and applications of social learning, both within and across disciplines. However, advancing the concept and using social learning methods and tools in areas like disaster-shocks requires interdisciplinary consolidation of understandings. In this context, the primary focus of this paper is on the contributions of social learning to disaster risk reduction (DRR).

By applying a three-round policy Delphi process involving 18 purposefully selected scholars and expert-practitioners, the authors collected data on the meanings of social learning for two groups of professionals, DRR and social-ecological resilience. The survey instruments included questions relating to the identification of the core elements of social learning and the prospects for enhancing social-ecological resilience.

The results revealed strong agreement that (1) the core elements of social learning indicate a collective, iterative and collaborative process that involves sharing/networking, changes in attitudes and knowledge and inclusivity; (2) social learning from disasters is unique; and (3) linkages between disciplines can be built by promoting interdisciplinarity, networks and knowledge platforms; collaboration and coordination at all levels; and teaching and practicing trust and respect. Social learning is useful in preparing for and responding to specific disaster events through communication; sharing experience, ideas and resources; creating synergies for collective action and promoting resilience.

The policy Delphi process involved a limited number of participants to control the quality of the data. To the best of the authors’ knowledge, this paper is the first of its kind to identify the core elements of social learning, specifically, in the disaster-shock context. It also makes significant contributions to the interdisciplinary integration issues.

The practical implications of this study are related to pre-disaster planning and mitigation through the application of social learning on disaster-shocks.

The social implications of this study are related to valuing social learning for the improvement of disaster planning, management, and policy formulation and implementation in reducing disaster risks.

The study provides a consensus view on the core elements of social learning and its role in DRR and resilience building. Relevant to all stages of DRR, social learning is best characterized as a collective, iterative and collaborative process. It can be promoted by enhancing networking and interdisciplinarity.

Despite Bangladesh's great strides in formulating disaster management policies following the principles of good governance, the degree to which these policies have successfully been implemented at the local level remains largely unknown. The objectives of this study were two-fold: (1) to examine the roles and effectiveness of local-level governance and disaster management institutions, and (2) to identify barriers to the implementation of national policies and Disaster-Risk-Reduction (DRR) guidelines at the local community level.

Between January 2014 and June 2015 we carried out an empirical investigation in two coastal communities in Bangladesh. We employed a qualitative research and Case Study approach, using techniques from the Participatory Rural Appraisal toolbox to collect data from local community members as well as government and NGO officials.

Our study revealed that interactive disaster governance, decentralization of disaster management, and compliance by local-level institutions with good governance principles and national policy guidelines can be extremely effective in reducing disaster-loss and damages. According to coastal community members, the local governments have generally failed to uphold good governance principles, and triangulated data confirm that the region at large suffers from rampant corruption, political favoritism, lack of transparency and accountability and minimal inclusion of local inhabitants in decision-making – all of which have severely impeded the successful implementation of national disaster-management policies.

While considerable research on good governance has been pursued, our understanding of good disaster governance and their criteria is still poor. In addition, although numerous national disaster management policy and good governance initiatives have been taken in Bangladesh, like many other developing countries, the nature and extent of their local level implementation are not well known. This study contributes to these research gaps, with identification of further research agenda in these areas.

The study focuses on good disaster governance and management issues and practices, their strengths and limitations in the context of cyclone and storm surges along coastal Bangladesh. It offers specific good disaster governance criteria for improving multi-level successful implementation. The paper deals with International Sendai Framework that called for enhancement of local level community resilience to disasters. Thus, it contributes to numerous policy and practice areas relating to good disaster governance.

Good disaster governance would benefit not only from future disaster losses but also from improved prevention and mitigation of natural hazards impact, benefiting society at large. Improvement in knowledge and practice in disaster-risk-reduction through good governance and effective management would ensure local community development and human wellbeing at the national level.

The failure of local-level government institutions to effectively implement national disaster management and resilience-building policies is largely attributable to a lack of financial and human resources, rampant corruption, a lack of accountability and transparency and the exclusion of local inhabitants from decision-making processes. Our study identified the specific manifestations of these failures in coastal communities in Bangladesh. These results underscore the vital need to address the wide gap between national DRR goals and the on-the-ground realities of policy implementation to successfully enhance the country's resilience to climate change-induced disasters.

The purpose of this chapter is to offer reflections on conventional theories concerning causes and determinants of diseases. It also intends to examine both theoretical and empirical bases for adopting an Integrated Social-Ecological Systems (ISES) lens as a tool for understanding complexities related to drivers, determinants and causes of diseases.

We assessed the theoretical underpinnings of a range of historical and contemporary lenses for viewing infectious disease drivers and the implications of their use when used to explain both personal (i.e. individual) and population health. We examined these issues within the empirical context of the City of Dhaka (Bangladesh) by adopting an ISES lens. Within this study an emphasis has been placed on illustrating how feedback loops and non-linearity functions in systems have a direct bearing upon various aspects of infectious disease occurrences.

A brief triumph over microbes during the last century stemmed in part from our improved understanding of disease causation which was built using disciplinary-specific, monocausal approaches to the study of disease emergence. Subsequently, empirical inquiries into the multi-factorial aetiology and the ‘web of causation’ of disease emergence have extended frameworks beyond simplistic, individualistic descriptions of disease causation. Nonetheless, much work is yet to be done to understand the roles of complex, intertwined, multi-level, social-ecological factors in affecting disease occurrence. We argue, a transdisciplinary-oriented, ISES lens is needed to explain the complexities of disease occurrence at various and interacting levels. More theoretical and empirical formulations, with evidence derived from various parts of the world, is also required to further the debate.

Our study advances the theoretical as well as empirical basis for considering an integrated human-nature systems approach to explaining disease occurrence at all levels so that factors at the individual, household/neighbourhood, local, regional and global levels are not treated in isolation.

The paper explores the beliefs and perceptions of microfinance institution (MFI) managers about environmental threats and the role that green microfinance can play in mitigating them, to assess their influence on these institutions' engagement in green activities.

Drawing on protection motivation theory, the study follows a qualitative case study approach, focusing on the MFIs of the developing country of Cabo Verde.

Findings indicate that MFI managers understand and are aware of the environmental threats and identify their customers as the most vulnerable to them. They seem motivated to increase their green activity in the future as it is generally seen as effective in mitigating the problems. However, their response capacity is hindered by limitations such as a lack of financial conditions and technical environmental knowledge.

MFIs play an important role in promoting self-employment and breaking the poverty cycle, but their funds are also often used to develop environmentally damaging practices. Green microfinance can contribute to targeting a triple bottom line; considering together people, profit and the planet, provided implementation challenges are addressed.

Although the environmental behaviour of MFIs has been previously studied, the understanding of the core beliefs of MFI managers that can support their environmental actions is still limited. Thus, the study contributes to advancing the knowledge of green microfinance by considering individual-level factors in understanding organisational greening.

The special importance of microfinance institutions (MFIs) in the context of emerging economies is well acknowledged. The success of MFIs is country, culture and context-specific. This study aims to capture the organizational sustainability viewpoint of MFIs through the experiences and insights of the managers engaged in running MFIs in an emerging market.

The study follows a qualitative approach and collects primary data through insightful interactions with the senior managers of various Indian MFIs, followed by thematic analysis to identify the factors impacting the sustainability of MFIs. It is supplemented by an extensive systematic literature review to enrich the findings. The identified factors are then analyzed through the lens of a balanced scorecard (BSC) approach to developing a framework in assessing the performance of MFIs operating in similar to this study’s context.

The authors observe that the majority of the studies on MFI sustainability are financial outcome centric. This study adds value by exploring a holistic and organization-centric approach drawing support from stakeholder theory, which emphasizes that the shareholders, employees and customers are equally important for the sustainability of the MFIs.

While the identified sustainability factors would help the practitioners focus upon the factors of improvement, the BSC framework would facilitate the conduct of performance review and taking related decisions thereon for the sustainability of MFIs.

To the best of the authors’ knowledge, this study is the first of its kind to attempt to assess the MFI organizations striving for sustainability through the lens of BSC framework.

Floods have been identified as the most frequent and threatening disaster in Sri Lanka amidst an increasing trend of natural and man-made disasters in the world. Subject experts state that disaster risk management should be based on the results of risk assessments, but flood risk management in Sri Lanka is seemingly not based on community-level flood risk assessments. Accordingly, the purpose of this paper is to introduce a community-level flood risk assessment method to the local context of Sri Lanka.

The sample (n = 425) for the study was selected using the stratified random sampling method, and the Deduru Oya basin was selected as the study area. The risk assessment model introduced by Bollin et al. (2003) was used for the current study, but with some modifications. Accordingly, 16 variables were selected for the risk assessment. Descriptive data analysis methods were used in the study.

Community-level flood risk assessment method was introduced. Variable index, flood risk index and flood risk map were developed for the study area. The Grama Niladari Divisions (GNDs) were grouped into five categories from very high risk to very low risk. The GNDs named Wirakumandaluwa, Thimbilla, Deduru Oya, Bangadeniya and Elivitiya were ranked as the most flood-risk GNDs, respectively.

This paper produces a flood risk assessment method for the local context. Flood risk in the study area was assessed based on people’s perceptions. Accordingly, the flood risk index and flood risk map for the study area were developed based on the empirical data. GNDs were ranked based on the flood risk index.