全球智库信息集成服务系统(G2TT): The Water-Energy-Food Nexus in East Asia: A tele-connected value chain analysis using inter-regional input-output analysis.

G2TT

来源类型	Article
规范类型	其他
DOI	10.1016/j.apenergy.2017.05.159
	The Water-Energy-Food Nexus in East Asia: A tele-connected value chain analysis using inter-regional input-output analysis.
	White DJ; Hubacek K; Feng K; Sun L; Meng B
发表日期	2018
出处	Applied Energy 210: 550-567
出版年	2018
语种	英语
摘要	Population and economic growth pose unique challenges in securing sufficient water, energy, and food to meet demand at the sub-national (regional), national, and supra-national level. An increasing share of this demand is met through trade and imports. The unprecedented rapid growth, extent, and complexity of global value chains (GVCs) since the 1980s have reshaped global trade. The GVCs – and new economic patterns of regionalization – affect the demands on water, energy, and food within countries and across global supply chains. East Asia is of particular interest due to the region’s rapid economic growth, substantial population size, high interdependence of the region’s economies, and varying degree of resource availability. While greater interdependence across the region has increased the efficiency of production and trade, these activities require the input of water-energy-food and generate disturbances in the environment. The transnational inter-regional input-output approach is utilized in a tele-connected Water-Energy-Food Nexus (WEFN) analysis of the East Asia GVC to assess competing demands for these resources and environmental outcomes.
主题	Water (WAT)
关键词	Multi-regional input-output analysis Water scarcity Virtual water Footprint analysis Environmental indicators CO2 equivalent Greenhouse gases
URL	http://pure.iiasa.ac.at/id/eprint/14675/
来源智库	International Institute for Applied Systems Analysis (Austria)
引用统计
资源类型	智库出版物
条目标识符	http://119.78.100.153/handle/2XGU8XDN/131422
推荐引用方式 GB/T 7714	White DJ,Hubacek K,Feng K,et al. The Water-Energy-Food Nexus in East Asia: A tele-connected value chain analysis using inter-regional input-output analysis.. 2018.