Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 210

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 access
Dell'Angelo, Jampel, Rulli, Maria Cristina, D'Odorico, Paolo·2018·Ecological Economics

Abstract

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.ecolecon.2017.06.033

Cites

3 of 3 references verified0 citation errors · 0 not checkable

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.

A few free checks a day · papers already verified open instantly · results are public

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

Show all 3 references

Cited by

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

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: The Global Water Grabbing Syndrome. https://app.cochat.ai/papers/10.1016/j.ecolecon.2017.06.033
The paper
Dell'Angelo, J., Rulli, M. C., & D'Odorico, P. (2018). The Global Water Grabbing Syndrome. Ecological Economics. https://doi.org/10.1016/j.ecolecon.2017.06.033

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.