当前位置: X-MOL 学术Water Resour. Econ. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Projecting irrigation water requirements across multiple socio-economic development futures – A global CGE assessment
Water Resources and Economics ( IF 2.2 ) Pub Date : 2017-09-23 , DOI: 10.1016/j.wre.2017.09.003
V. Nechifor , M. Winning

The article explores the implications of income and population growth over crop output and the consequent changes in freshwater requirements for irrigation. We use three alternative patterns of global socio-economic development (SSP1, SSP2 and SSP5) in conjunction with expected technological change coming from inherent yield improvements. Compared to other projections of blue water uses in crop production, the research provides a new perspective by using a multi-regional macro-economic approach. Freshwater requirements are calculated using a global Computable General Equilibrium framework with the induced pressure over renewable freshwater resources measured through the Irrigation Withdrawals to Availability (IWA) indicator. The RESCU-Water model employed distinguishes between rainfed and irrigated crop production. The model database also introduces an improved accounting method to derive the value of irrigation freshwater as a separate factor of production. The results show a positive relationship between socio-economic development and irrigation water use in most areas. Water-challenged regions continue to increase the pressure they exert over their renewable freshwater resources. Higher growth scenarios (SSP1 and SSP5) exacerbate these trends, leading to a more pronounced expansion of global blue water withdrawals. The obtained growth in freshwater requirements hints at continued unsustainable withdrawals in many regions and provides further evidence to support the SDG target 6.4 referring to the need for improved water-use efficiency.



中文翻译:

预测多个社会经济发展未来的灌溉水需求–全球CGE评估

本文探讨了收入和人口增长对作物产量的影响以及随之而来的灌溉淡水需求的变化。我们使用全球社会经济发展的三种替代模式(SSP1,SSP2和SSP5),以及固有的产量提高带来的预期技术变革。与作物生产中使用蓝色水的其他预测相比,该研究通过使用多区域宏观经济方法提供了新的视角。淡水需求是使用全球可计算一般均衡框架计算的,其中可再生淡水的感应压力通过灌溉抽水能力(IWA)指标进行测量。使用的RESCU-Water模型区分了雨养和灌溉作物的产量。模型数据库还引入了一种改进的核算方法,以得出灌溉淡水的价值作为单独的生产要素。结果表明,大多数地区的社会经济发展与灌溉用水之间存在正相关关系。受水困扰的地区继续增加其对可再生淡水资源施加的压力。较高的增长情景(SSP1和SSP5)加剧了这些趋势,导致全球蓝色海水取水量更加明显地扩大。淡水需求量的增加表明许多地区的取水量持续不可持续,并为支持可持续发展目标6.4(需要提高用水效率)提供了进一步的证据。结果表明,大多数地区的社会经济发展与灌溉用水之间存在正相关关系。受水困扰的地区继续增加其对可再生淡水资源施加的压力。较高的增长情景(SSP1和SSP5)加剧了这些趋势,导致全球蓝色海水取水量更加明显地扩大。淡水需求量的增加表明许多地区的取水量持续不可持续,并为支持可持续发展目标6.4(需要提高用水效率)提供了进一步的证据。结果表明,大多数地区的社会经济发展与灌溉用水之间存在正相关关系。受水困扰的地区继续增加其对可再生淡水资源施加的压力。较高的增长情景(SSP1和SSP5)加剧了这些趋势,导致全球蓝色海水取水量更加明显地扩大。淡水需求量的增加表明许多地区的取水量持续不可持续,并为支持可持续发展目标6.4(需要提高用水效率)提供了进一步的证据。较高的增长情景(SSP1和SSP5)加剧了这些趋势,导致全球蓝色海水取水量更加明显地扩大。淡水需求量的增加表明许多地区的取水量持续不可持续,并为支持可持续发展目标6.4(需要提高用水效率)提供了进一步的证据。较高的增长情景(SSP1和SSP5)加剧了这些趋势,导致全球蓝色海水取水量更加明显地扩大。淡水需求量的增加表明许多地区的取水量持续不可持续,并为支持可持续发展目标6.4(需要提高用水效率)提供了进一步的证据。

更新日期:2017-09-23
down
wechat
bug