Using Social Network Analysis to Evaluate Health-Related Adaptation Decision-Making in Cambodia
Climate change adaptation in the health sector requires decisions across sectors, levels of government, and organisations. The networks that link these different institutions, and the relationships among people within these networks, are therefore critical influences on the nature of adaptive respon...
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doaj-0a73b283cc6846f7996870902a3b9aa62020-11-24T22:32:29ZengMDPI AGInternational Journal of Environmental Research and Public Health1660-46012014-01-011121605162510.3390/ijerph110201605ijerph110201605Using Social Network Analysis to Evaluate Health-Related Adaptation Decision-Making in CambodiaKathryn J. Bowen0Damon Alexander1Fiona Miller2Va Dany3National Centre for Epidemiology and Population Health, Australian National University, Canberra, ACT 0200, AustraliaSchool of Social and Political Sciences, University of Melbourne, Carlton, VIC 3010, AustraliaDepartment of Resource Management and Geography, University of Melbourne, Carlton, VIC 3010, AustraliaDepartment of Environmental Sciences, Royal University of Phnom Penh, Russian Confederation Blv., Phnom Penh, CambodiaClimate change adaptation in the health sector requires decisions across sectors, levels of government, and organisations. The networks that link these different institutions, and the relationships among people within these networks, are therefore critical influences on the nature of adaptive responses to climate change in the health sector. This study uses social network research to identify key organisational players engaged in developing health-related adaptation activities in Cambodia. It finds that strong partnerships are reported as developing across sectors and different types of organisations in relation to the health risks from climate change. Government ministries are influential organisations, whereas donors, development banks and non-government organisations do not appear to be as influential in the development of adaptation policy in the health sector. Finally, the study highlights the importance of informal partnerships (or ‘shadow networks’) in the context of climate change adaptation policy and activities. The health governance ‘map’ in relation to health and climate change adaptation that is developed in this paper is a novel way of identifying organisations that are perceived as key agents in the decision-making process, and it holds substantial benefits for both understanding and intervening in a broad range of climate change-related policy problems where collaboration is paramount for successful outcomes.http://www.mdpi.com/1660-4601/11/2/1605governanceclimate change adaptationglobal healthCambodiasocial network analysis |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Kathryn J. Bowen Damon Alexander Fiona Miller Va Dany |
spellingShingle |
Kathryn J. Bowen Damon Alexander Fiona Miller Va Dany Using Social Network Analysis to Evaluate Health-Related Adaptation Decision-Making in Cambodia International Journal of Environmental Research and Public Health governance climate change adaptation global health Cambodia social network analysis |
author_facet |
Kathryn J. Bowen Damon Alexander Fiona Miller Va Dany |
author_sort |
Kathryn J. Bowen |
title |
Using Social Network Analysis to Evaluate Health-Related Adaptation Decision-Making in Cambodia |
title_short |
Using Social Network Analysis to Evaluate Health-Related Adaptation Decision-Making in Cambodia |
title_full |
Using Social Network Analysis to Evaluate Health-Related Adaptation Decision-Making in Cambodia |
title_fullStr |
Using Social Network Analysis to Evaluate Health-Related Adaptation Decision-Making in Cambodia |
title_full_unstemmed |
Using Social Network Analysis to Evaluate Health-Related Adaptation Decision-Making in Cambodia |
title_sort |
using social network analysis to evaluate health-related adaptation decision-making in cambodia |
publisher |
MDPI AG |
series |
International Journal of Environmental Research and Public Health |
issn |
1660-4601 |
publishDate |
2014-01-01 |
description |
Climate change adaptation in the health sector requires decisions across sectors, levels of government, and organisations. The networks that link these different institutions, and the relationships among people within these networks, are therefore critical influences on the nature of adaptive responses to climate change in the health sector. This study uses social network research to identify key organisational players engaged in developing health-related adaptation activities in Cambodia. It finds that strong partnerships are reported as developing across sectors and different types of organisations in relation to the health risks from climate change. Government ministries are influential organisations, whereas donors, development banks and non-government organisations do not appear to be as influential in the development of adaptation policy in the health sector. Finally, the study highlights the importance of informal partnerships (or ‘shadow networks’) in the context of climate change adaptation policy and activities. The health governance ‘map’ in relation to health and climate change adaptation that is developed in this paper is a novel way of identifying organisations that are perceived as key agents in the decision-making process, and it holds substantial benefits for both understanding and intervening in a broad range of climate change-related policy problems where collaboration is paramount for successful outcomes. |
topic |
governance climate change adaptation global health Cambodia social network analysis |
url |
http://www.mdpi.com/1660-4601/11/2/1605 |
work_keys_str_mv |
AT kathrynjbowen usingsocialnetworkanalysistoevaluatehealthrelatedadaptationdecisionmakingincambodia AT damonalexander usingsocialnetworkanalysistoevaluatehealthrelatedadaptationdecisionmakingincambodia AT fionamiller usingsocialnetworkanalysistoevaluatehealthrelatedadaptationdecisionmakingincambodia AT vadany usingsocialnetworkanalysistoevaluatehealthrelatedadaptationdecisionmakingincambodia |
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1725733676662128640 |