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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.

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.