TY - JOUR
T1 - Optimizing Food-Energy-Water (FEW) nexus to foster collective resilience in urban-rural systems
AU - Sukhwani, Vibhas
AU - Shaw, Rajib
AU - Mitra, Bijon Kumer
AU - Yan, Wanglin
N1 - Funding Information:
The first author is thankful to the Ministry of Education, Culture, Sports, Science and Technology (MEXT), Japan for the scholarship.
Publisher Copyright:
© 2019 The Author(s)
PY - 2019/5
Y1 - 2019/5
N2 - With developing concerns of climate change, population growth and rapid urbanization, there is growing need to optimize Food-Energy-Water (FEW) sectors. Subsequently, FEW nexus thinking has become a prerequisite for development planning today, as the three sectors are intricately linked to each other. This study identifies the key barriers to operationalizing FEW nexus at ground level and underlines the need for urban-rural shared perspectives in resource management. Since, urban and rural systems depend on shared stock of natural resources, the study theorizes that building integrated decision making platforms at regional level will significantly enhance their collective resilience to emerging socio-environmental challenges.
AB - With developing concerns of climate change, population growth and rapid urbanization, there is growing need to optimize Food-Energy-Water (FEW) sectors. Subsequently, FEW nexus thinking has become a prerequisite for development planning today, as the three sectors are intricately linked to each other. This study identifies the key barriers to operationalizing FEW nexus at ground level and underlines the need for urban-rural shared perspectives in resource management. Since, urban and rural systems depend on shared stock of natural resources, the study theorizes that building integrated decision making platforms at regional level will significantly enhance their collective resilience to emerging socio-environmental challenges.
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U2 - 10.1016/j.pdisas.2019.100005
DO - 10.1016/j.pdisas.2019.100005
M3 - Review article
AN - SCOPUS:85090974667
SN - 2590-0617
VL - 1
JO - Progress in Disaster Science
JF - Progress in Disaster Science
M1 - 100005
ER -