The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
The Global Water Grabbing Syndrome
Open accessAbstract
Large-scale acquisitions of agricultural land in developing countries have been rapidly increasing in the last 10 years, contributing to a major agrarian transition from subsistence or small scale farming to large-scale commercial agriculture by agribusiness transnational corporations. Likely driven by recent food crises, new bioenergy policies, and financial speculations, this phenomenon has been often investigated from the economic development, human right, land tenure and food security perspectives, while its hydrologic implications have remained understudied. It has been suggested that a major driver of large-scale land acquisitions (LSLAs) is the quest for water resources that can be used (locally) to sustain agricultural production in the acquired land. The appropriation of water resources associated with LSLAs has often been termed ‘water grabbing’, though to date a formal definition of such a normative and inherently pejorative term is missing. The intrinsic assumption is that the acquisition of water undergoes the same dynamics of unbalanced power relationships that underlie many LSLAs. Here we invoke hydrological theories of “green” and “blue” water flows to stress the extent to which water appropriations are inherently coupled to land acquisitions and specifically focus on blue water. We then propose a formal definition of blue water grabbing based both on biophysical conditions (water scarcity) and ethical implications (human right to food). Blue water grabs are appropriations of irrigation (i.e., blue) water in regions affected by undernourishment and where agricultural production is constrained by blue water availability. We use this framework to provide a global assessment of the likelihood that LSLAs entail blue water grabbing.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
A safe operating space for humanity
Rockström, J., Steffen, W., Noone, K., Persson, Å., Chapin, F. S., Lambin, E. F., Lenton, T. M., Scheffer, M., Folke, C., Schellnhuber, H. J., et al. (2009) · Nature · doi:10.1038/461472a · Cited by 13,333
Revisiting the commons: local lessons, global challenges.
Ostrom, E., Burger, J., Field, C. B., Norgaard, R. B., & Policansky, D. (1999) · Science · doi:10.1126/science.284.5412.278 · Cited by 2,798
The Global Politics of Water Grabbing
Franco, J., Mehta, L., & Veldwisch, G. J. (2013) · Third World Quarterly · doi:10.1080/01436597.2013.843852 · Cited by 147
Cited by
Global agricultural economic water scarcity
Rosa, L., Chiarelli, D. D., Rulli, M. C., Dell’Angelo, J., & D’Odorico, P. (2020) · Science Advances · doi:10.1126/sciadv.aaz6031 · Cited by 783
Self-citationWater scarcity in agriculture: An overview of causes, impacts and approaches for reducing the risks
Ingrao, C., Strippoli, R., Lagioia, G., & Huisingh, D. (2023) · Heliyon · doi:10.1016/j.heliyon.2023.e18507 · Cited by 733
The key drivers for the changes in global water scarcity: Water withdrawal versus water availability
Huang, Z., Yuan, X., & Liu, X. (2021) · Journal of Hydrology · doi:10.1016/j.jhydrol.2021.126658 · Cited by 264
Metadata
- Authors
- Dell'Angelo, J., Rulli, M. C., & D'Odorico, P.
- Venue
- Ecological Economics
- Publisher
- Elsevier BV
- Published
- 2018-01
- Volume
- 143
- Pages
- 276-285
- ISSN
- 0921-8009 (ISSN-L)
- OpenAlex
- W2741831864
- Cited by
- 210
- References
- 3
- FWCI
- 33.96
- Type
- journal article
- Language
- en
- Open access
- hybrid
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.