Your search found 6 records
1 Pearce, D.; Barbier, E.; Markandya, A.; Barrett, S.; Turner, R. K.; Swanson, T. 1991. Blueprint 2: greening the world economy. London, UK: Earthscan; London, UK: London Environmental Economics Centre. 232p.
Environmental economics ; Ethics ; Environmental degradation ; Population growth ; Deforestation ; Aid ; Financing ; Biodiversity conservation ; Ozone depletion ; Global warming
(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.
Optimization methods ; Linear programming ; Non linear programming ; Techniques ; Mathematical models ; Computer applications ; Agricultural economics ; Environmental economics ; Natural resources ; Quantitative analysis
(Location: IWMI HQ Call no: e-copy SF Record No: H046530)
(0.69 MB)
3 Costanza, R.; Cumberland, J. H.; Daly, H.; Goodland, R.; Norgaard, R. B.; Kubiszewski, I.; Franco, C. 2015. An introduction to ecological economics. 2nd ed. Boca Raton, FL, USA: CRC Press. 337p.
Environmental economics ; Economic development ; Ecology ; Ecosystem services ; Biodiversity ; Natural environment ; Sustainable development ; Gross national product ; Environmental policy ; Environmental organizations ; Regulations ; Pollution control ; User charges ; Trade policy ; Population ; Social welfare
(Location: IWMI HQ Call no: 577 G000 COS Record No: H046862)
(0.58 MB)
4 CGIAR Research Program on Water, Land and Ecosystems (WLE). 2017. Re-conceptualizing dam design and management for enhanced water and food security. Colombo, Sri Lanka: International Water Management Institute (IWMI). CGIAR Research Program on Water, Land and Ecosystems (WLE). 12p. (WLE Towards Sustainable Intensification: Insights and Solutions Brief 3) [doi: https://doi.org/10.5337/2017.212]
Sustainability ; Intensification ; Dam construction ; Water security ; Food security ; Ecosystem services ; Infrastructure ; Reservoirs ; River basins ; Local communities ; Economic aspects ; Environmental economics ; Cost benefit analysis ; Net primary productivity ; Habitats ; Nutrients ; Sediment
(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.
5 UNESCO World Water Assessment Programme (WWAP); UN-Water. 2021. The United Nations World Water Development Report 2021: valuing water. Paris, France: UNESCO. 206p.
Water resources ; Water management ; Valuation ; Cultural values ; Environmental economics ; Agricultural production ; Food production ; Industrial production ; Energy ; Sustainable Development Goals ; Hydraulic structures ; Water governance ; Water availability ; Water demand ; Water use efficiency ; Water supply ; Water quality ; Sanitation ; Hygiene ; Water scarcity ; Climate change ; Resilience ; Decision making ; Economic analysis ; Econometrics ; Cost benefit analysis ; Financing ; Funding ; Ecosystem services ; Human settlements ; Capacity development ; Knowledge / Africa South of Sahara / Europe / Latin America and the Caribbean / Asia and the Pacific / Arab countries
(Location: IWMI HQ Call no: e-copy only Record No: H050378)
https://unesdoc.unesco.org/in/documentViewer.xhtml?v=2.1.196&id=p::usmarcdef_0000375724&file=/in/rest/annotationSVC/DownloadWatermarkedAttachment/attach_import_db06f7c4-b33f-4833-be56-bbf54afdee3f%3F_%3D375724eng.pdf&locale=en&multi=true&ark=/ark:/48223/pf0000375724/PDF/375724eng.pdf#page=1
https://vlibrary.iwmi.org/pdf/H050378.pdf
https://vlibrary.iwmi.org/pdf/H050378.pdf
(15.90 MB) (15.9 MB)
6 Li, J.; Huang, D. 2023. Multi-dimensional dynamic spatio-temporal evolution of the green development efficiency of water-energy-food in China. Water Policy, 25(2):122-145. [doi: https://doi.org/10.2166/wp.2023.145]
Water ; Energy consumption ; Food ; Environmental economics ; Economic development ; Policies ; Models ; Research / China
(Location: IWMI HQ Call no: e-copy only Record No: H051714)
https://iwaponline.com/wp/article-pdf/25/2/122/1178013/025020122.pdf
https://vlibrary.iwmi.org/pdf/H051714.pdf
https://vlibrary.iwmi.org/pdf/H051714.pdf
(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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