scholarly journals Operationalising Community Resilience to Climate Change in Developing Countries: A Grounded Delphi Method (GDM) Approach

2021 ◽  
Author(s):  
Alima Ogah ◽  
Tracey Crosbie ◽  
Theresia Komang Ralebitso-Senior
Keyword(s):  
Climate Change ◽  
Developing Countries ◽  
Delphi Method ◽  
Community Resilience ◽  
Structured Interviews ◽  
Adaptation To Climate Change ◽  
Economic Discourse ◽  
Delphi Approach ◽  
The Face ◽  
Analytical Tools

Abstract Background Climate change and its impact have taken centre stage in contemporary political economic discourse. Climate change is posing complex problems that far outweighs the solutions suggested by the conventional analytical tools used for guiding responses to major environmental challenges. This is particularly the case in developing countries like Nigeria. Unsurprisingly the concept of community resilience towards climate change has received a great deal of attention from researchers and policy makers. However, community resilience is a contested concept, which leads to disagreement about the methods of achieving it. The nature of community resilience makes the measurement of the efficiency of the policies designed to increase community resilience problematic, particularly in developing countries where limited funds must be prioritised. Methods The research presented uses a Grounded Delphi Method (GDM) to identify how experts in Nigeria define community resilience and reach a consensus on its measurement in Nigeria’s context and other developing nations. The data collection involved three rounds of Delphi with a panel of 21 experts, the first round employed semi-structured interviews, following the exploratory Delphi approach, and subsequent rounds employed online surveys. Findings: The findings indicate that there is a process of stages that communities need to go through to become resilient to climate change. These begin with coping with climate change, followed by adaptation to climate change with the final stage being transformation in the face of climate change. Twenty indicators are identified categorised under eight elements that are suitable for measuring community resilience at the different stages of this process. It is interesting to note that the experts in Nigeria who participated in the study excluded notions of transformation in their conceptualisation of community resilience illustrating a potential gap in their perceptions of the requirements for how communities can become fully resilient. Conclusion This research provides a method of prioritising specific, measurable indicators to inform policies designed to reduce the impacts of climate change by supporting community resilience in the context of developing countries with limited funding.

scholarly journals Regional Climate Change Competitiveness—Modelling Approach

Energies ◽  
2021 ◽  
Vol 14 (12) ◽  
pp. 3704
Author(s):  
Agnieszka Karman ◽  
Andrzej Miszczuk ◽  
Urszula Bronisz
Keyword(s):  
Climate Change ◽  
Regional Climate ◽  
Regional Climate Change ◽  
Measurement Scale ◽  
Practical Application ◽  
Adaptation To Climate Change ◽  
Regional Competitiveness ◽  
The Face ◽  
Competitiveness Index ◽  
Modelling Approach

The article deals with the competitiveness of regions in the face of climate change. The aim was to present the concept of measuring the Regional Climate Change Competitiveness Index. We used a comparative and logical analysis of the concept of regional competitiveness and heuristic conceptual methods to construct the index and measurement scale. The structure of the index includes six broad sub-indexes: Basic, Natural, Efficiency, Innovation, Sectoral, Social, and 89 indicators. A practical application of the model was presented for the Mazowieckie province in Poland. This allowed the region’s performance in the context of climate change to be presented, and regional weaknesses in the process of adaptation to climate change to be identified. The conclusions of the research confirm the possibility of applying the Regional Climate Change Competitiveness Index in the economic analysis and strategic planning. The presented model constitutes one of the earliest tools for the evaluation of climate change competitiveness at a regional level.

scholarly journals Organizational adaptation to climate change: learning to anticipate energy disruptions

2017 ◽  
Vol 9 (5) ◽  
pp. 645-665 ◽  
Author(s):  
Renato J. Orsato ◽  
Simone R. Barakat ◽  
José Guilherme F. de Campos
Keyword(s):  
Climate Change ◽  
Organizational Adaptation ◽  
Organizational Level ◽  
Traditional Learning ◽  
Structured Interviews ◽  
Adaptation To Climate Change ◽  
Content Type ◽  
Double Loop Learning ◽  
Private And Public ◽  
New Forms Of Learning

Purpose This paper aims to investigate how organizational learning (OL) affects the development of anticipatory adaptation to climate change in companies. Because the need to learn increases in circumstances of greater uncertainty such as the case of climate change, one of the processes that can explain different levels of anticipatory adaptation to climate change (AACC) by companies is OL. Design/methodology/approach The research uses a case study design. Following the procedures of qualitative sampling, an exemplary case of organizational adaptation to climate change in a sector that is extremely affected by the impacts of weather events was chosen. Empirical data collection includes semi-structured interviews and the collection of private and public documents. Such data were analyzed through thematic analysis. Findings The process of OL for anticipatory adaptation to climate change presents substantial differences from the traditional OL process presented by the specialized literature. In particular, the concepts of single- and double-loop learning were challenging to fit into the learning processes required for AACC. Originality/value Organizations have historically been working towards the adaption to external unforeseen events, but anticipatory adaptation to climate change presents new challenges and requires new forms of learning. Previous research has examined the interplay between learning and climate change adaptation, especially at the inter-organizational level. By developing research at the organizational level, this paper addresses a gap in the literature and shows that the required learning to adapt to climate change differs from the traditional learning, described in the management literature.

scholarly journals Adapting Cultural Heritage to Climate Change Risks: Perspectives of Cultural Heritage Experts in Europe

Geosciences ◽  
2018 ◽  
Vol 8 (8) ◽  
pp. 305 ◽  
Author(s):  
Elena Sesana ◽  
Alexandre Gagnon ◽  
Chiara Bertolin ◽  
John Hughes
Keyword(s):  
Climate Change ◽  
Cultural Heritage ◽  
Climate Change Adaptation ◽  
Best Practice ◽  
Climate Change Impacts ◽  
Structured Interviews ◽  
Adaptation To Climate Change ◽  
Participatory Workshop ◽  
Climate Change Risks ◽  
The Uk

Changes in rainfall patterns, humidity, and temperature, as well as greater exposure to severe weather events, has led to the need for adapting cultural heritage to climate change. However, there is limited research accomplished to date on the process of adaptation of cultural heritage to climate change. This paper examines the perceptions of experts involved in the management and preservation of cultural heritage on adaptation to climate change risks. For this purpose, semi-structured interviews were conducted with experts from the UK, Italy, and Norway as well as a participatory workshop with stakeholders. The results indicate that the majority of interviewees believe that adaptation of cultural heritage to climate change is possible. Opportunities for, barriers to, and requirements for adapting cultural heritage to climate change, as perceived by the interviewees, provided a better understanding of what needs to be provided and prioritized for adaptation to take place and in its strategic planning. Knowledge of management methodologies incorporating climate change impacts by the interviewees together with best practice examples in adapting cultural heritage to climate change are also reported. Finally, the interviewees identified the determinant factors for the implementation of climate change adaptation. This paper highlights the need for more research on this topic and the identification and dissemination of practical solutions and tools for the incorporation of climate change adaptation in the preservation and management of cultural heritage.

Climate Change and Adaptation through the Lens of Capability Approach

2017 ◽  
pp. 1351-1365
Author(s):  
Bhupen Mili ◽  
Anamika Barua ◽  
Suparana Katyaini
Keyword(s):  
Climate Change ◽  
Developing Countries ◽  
Group Discussion ◽  
Climate Change Impacts ◽  
Successful Implementation ◽  
Adaptation To Climate Change ◽  
Community Members ◽  
Study Region ◽  
The People ◽  
Agent Of Change

Climate Change impacts would disproportionately have larger impacts on the developing countries. Both government and development agencies have initiated various adaptation strategies in the developing countries to enhance the adaptation of the local communities. Various policies and programmes have been designed keeping in mind the impact of climate change. This study was conducted in Darjeeling district of West Bengal, India, to see the benefits of such policies and programmes. Focus group discussion with community members were held in the study area. Based on the fieldwork it was seen that most of the intervention made in the study area focused on income, resources, and assets. It has failed to benefits the people due to variation in the capability among various section of the society. Various projects related to health, education, housing, and livelihood, have been implemented in the study region. However, due to lack of conversion factors in the form of gender inequality, discriminatory practices, transparency among others have come as a hindrance in the successful implementation of the projects. Hence, such project-based approach to enhance community's adaptation to climate risk, in the end fails to show benefits as it fails to expand community's capabilities and real freedom, due to the project's pre-defined aims. It is important to understand community's as agent of change rather than merely beneficiaries of adaptation projects. This study therefore recommends that to enhance community's adaptation to climate change, the interventions should be such that it enlarges the range of people's choices so that when climate disaster strikes them they will have a set of opportunities.

scholarly journals Assessing Community Resilience to Urban Flooding in Multiple Types of the Transient Population in China

Water ◽  
2020 ◽  
Vol 12 (10) ◽  
pp. 2784 ◽  
Author(s):  
Wenping Xu ◽  
Lingli Xiang ◽  
David Proverbs
Keyword(s):  
Climate Change ◽  
Empirical Studies ◽  
Back Propagation ◽  
Community Resilience ◽  
Back Propagation Neural Network ◽  
Disaster Resilience ◽  
Urban Flooding ◽  
Adaptation To Climate Change ◽  
Mitigation And Adaptation ◽  
Different Types

While various measures of mitigation and adaptation to climate change have been taken in recent years, many have gradually reached a consensus that building community resilience is of great significance when responding to climate change, especially urban flooding. There has been a dearth of research on community resilience to urban floods, especially among transient communities, and therefore there is a need to conduct further empirical studies to improve our understanding, and to identify appropriate interventions. Thus, this work combines two existing resilience assessment frameworks to address these issues in three different types of transient community, namely an urban village, commercial housing, and apartments, all located in Wuhan, China. An analytic hierarchy process–back propagation neural network (AHP-BP) model was developed to estimate the community resilience within these three transient communities. The effects of changes in the prioritization of key resilience indicators under different environmental, economic, and social factors was analyzed across the three communities. The results demonstrate that the ranking of the indicators reflects the connection between disaster resilience and the evaluation units of diverse transient communities. These aspects show the differences in the disaster resilience of different types of transient communities. The proposed method can help decision makers in identifying the areas that are lagging behind, and those that need to be prioritized when allocating limited and/or stretched resources.

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