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Land grabbing: a preliminary quantification of economic impacts on rural livelihoods

Overview of attention for article published in Population and Environment, July 2014
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (91st percentile)

Mentioned by

policy
3 policy sources
twitter
10 X users

Citations

dimensions_citation
91 Dimensions

Readers on

mendeley
242 Mendeley
Title
Land grabbing: a preliminary quantification of economic impacts on rural livelihoods
Published in
Population and Environment, July 2014
DOI 10.1007/s11111-014-0215-2
Pubmed ID
Authors

Kyle F. Davis, Paolo D’Odorico, Maria Cristina Rulli

Abstract

Global demands on agricultural land are increasing due to population growth, dietary changes and the use of biofuels. Their effect on food security is to reduce humans' ability to cope with the uncertainties of global climate change. In light of the 2008 food crisis, to secure reliable future access to sufficient agricultural land, many nations and corporations have begun purchasing large tracts of land in the global South, a phenomenon deemed "land grabbing" by popular media. Because land investors frequently export crops without providing adequate employment, this represents an effective income loss for local communities. We study 28 countries targeted by large-scale land acquisitions [comprising 87 % of reported cases and 27 million hectares (ha)] and estimate the effects of such investments on local communities' incomes. We find that this phenomenon can potentially affect the incomes of ~12 million people globally with implications for food security, poverty levels and urbanization. While it is important to note that our study incorporates a number of assumptions and limitations, it provides a much needed initial quantification of the economic impacts of large-scale land acquisitions on rural livelihoods.

X Demographics

X Demographics

The data shown below were collected from the profiles of 10 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 242 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Canada 2 <1%
United States 2 <1%
Mexico 2 <1%
South Africa 1 <1%
India 1 <1%
Netherlands 1 <1%
Switzerland 1 <1%
Japan 1 <1%
Spain 1 <1%
Other 0 0%
Unknown 230 95%

Demographic breakdown

Readers by professional status Count As %
Student > Master 46 19%
Student > Ph. D. Student 33 14%
Student > Bachelor 27 11%
Researcher 26 11%
Student > Doctoral Student 13 5%
Other 48 20%
Unknown 49 20%
Readers by discipline Count As %
Social Sciences 59 24%
Environmental Science 39 16%
Agricultural and Biological Sciences 21 9%
Economics, Econometrics and Finance 14 6%
Earth and Planetary Sciences 8 3%
Other 40 17%
Unknown 61 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 18. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 07 October 2020.
All research outputs
#2,052,450
of 25,559,053 outputs
Outputs from Population and Environment
#53
of 354 outputs
Outputs of similar age
#19,764
of 240,668 outputs
Outputs of similar age from Population and Environment
#1
of 2 outputs
Altmetric has tracked 25,559,053 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 354 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.2. This one has done well, scoring higher than 85% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 240,668 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them