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Climate shocks and rural-urban migration in Mexico: exploring nonlinearities and thresholds

Overview of attention for article published in Climatic Change, November 2016
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (94th percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

policy
8 policy sources
twitter
10 X users
facebook
1 Facebook page

Readers on

mendeley
221 Mendeley
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Article details
Title
Climate shocks and rural-urban migration in Mexico: exploring nonlinearities and thresholds
Published in
Climatic Change, November 2016
DOI 10.1007/s10584-016-1849-0
Pubmed ID
Authors
Abstract

Adverse climatic conditions may differentially drive human migration patterns between rural and urban areas, with implications for changes in population composition and density, access to infrastructure and resources, and the delivery of essential goods and services. However, there is little empirical evidence to support this notion. In this study, we investigate the relationship between climate shocks and migration between rural and urban areas within Mexico. We combine individual records from the 2000 and 2010 Mexican censuses (n=683,518) with high-resolution climate data from Terra Populus that are linked to census data at the municipality level (n=2,321). We measure climate shocks as monthly deviation from a 30-year (1961-1990) long-term climate normal period, and uncover important nonlinearities using quadratic and cubic specifications. Satellite-based measures of urban extents allow us to classify migrant-sending and migrant-receiving municipalities as rural or urban to examine four internal migration patterns: rural-urban, rural-rural, urban-urban, and urban-rural. Among our key findings, results from multilevel models reveal that each additional drought month increases the odds of rural-urban migration by 3.6%. In contrast, the relationship between heat months and rural-urban migration is nonlinear. After a threshold of ~34 heat months is surpassed, the relationship between heat months and rural-urban migration becomes positive and progressively increases in strength. Policy and programmatic interventions may therefore reduce climate induced rural-urban migration in Mexico through rural climate change adaptation initiatives, while also assisting rural migrants in finding employment and housing in urban areas to offset population impacts.

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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 demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 221 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Canada 1 <1%
Unknown 220 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 41 19%
Student > Master 34 15%
Researcher 33 15%
Student > Doctoral Student 12 5%
Student > Bachelor 9 4%
Other 24 11%
Unknown 68 31%
Readers by discipline
Readers by discipline Count As %
Social Sciences 55 25%
Environmental Science 33 15%
Economics, Econometrics and Finance 16 7%
Earth and Planetary Sciences 8 4%
Agricultural and Biological Sciences 6 3%
Other 23 10%
Unknown 80 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 31. 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 01 March 2026.
All research outputs
#1,614,848
of 34,279,751 outputs
Outputs from Climatic Change
#781
of 6,345 outputs
Outputs of similar age
#24,163
of 454,941 outputs
Outputs of similar age from Climatic Change
#15
of 62 outputs
Altmetric has tracked 34,279,751 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,345 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 23.7. This one has done well, scoring higher than 87% 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 454,941 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 94% of its contemporaries.
We're also able to compare this research output to 62 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.