Your search found 6 records
(Location: IWMI HQ Call no: 333.72 G000 PEA Record No: H044408)
(0.22 MB)
2 Kaiser, H. M.; Messer, K. D. 2011. Mathematical programming for agricultural, environmental, and resource economics. Hoboken, NJ, USA: John Wiley. 512p.
(Location: IWMI HQ Call no: e-copy SF Record No: H046530)
(0.69 MB)
(Location: IWMI HQ Call no: 577 G000 COS Record No: H046862)
(0.58 MB)
(Location: IWMI HQ Call no: e-copy only Record No: H048214)
(804 KB)
Dams provide numerous economic benefits and can mitigate the adverse impacts of water variability and extreme climate events. However, such large-scale water infrastructure has also caused significant social and environmental costs, prompting calls for alternative, nature-based solutions. WLE suggests that collections of built and natural infrastructure, combined with participatory management approaches, can support water and food security, while enhancing livelihoods and environmental outcomes.
(Location: IWMI HQ Call no: e-copy only Record No: H050378)
(15.90 MB) (15.9 MB)
(Location: IWMI HQ Call no: e-copy only Record No: H051714)
(0.87 MB) (888 KB)
This paper constructs a green development efficiency index framework of water-energy-food in China, and uses the Super-EBM model to measure it more accurately and scientifically. The existing studies on water-energy-food efficiency lack the analysis of regional differential decomposition and spatial state transition. In this paper, two kinds of models are used for complementary analysis. One is kernel density map, Dagum spatial Gini coefficient decomposition and traditional Markov chain, which does not contain spatial factors. The other is the global Moran index, spatial Markov chain and spatial spillover effect, including spatial factors. The spatio-temporal dynamic evolution of the green development efficiency of water-energy-food (GWEF) in China is compared from the perspective of national, regional and provincial dimensions. The conclusion is more scientific and comprehensive, which is conducive to the green collaborative development among water-energy-food, economy and environment in China. The study found that GWEF had a lot of room for improvement. The overall spatial difference was mainly derived from the regional difference. GWEF had a significant positive spatial autocorrelation. The development of GWEF maintained the convergence characteristics of clubs. The spatial spillover effect of the main influencing factors was studied.
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