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Spatial econometric model of natural disaster impacts on human migration in vulnerable regions of Mexico

Bibliographic Data

ID4954088
AuthorsSergio O Saldaña‐zorrilla (Universidad Nacional Autonoma de Mexico), Krister Sandberg (Swedish Institute)
Year2009
Volume33
Issue4
Pages591-607
Publication date2009-10-01
Open AccessYes
TypeARTICLE
VenueDisasters (JOURNAL)
Journal identifiersISSN: 0361-3666 • E-ISSN: 1467-7717
PublisherWiley (PUBLISHER • GB)
DOI10.1111/j.1467-7717.2008.01089.x
PMID19207538
OpenAlexW2080865593
LanguageEN
Citations received14
References cited11

Mexico's vast human and environmental diversity offers an initial framework for comprehending some of the prevailing great disparities between rich and poor. Its socio-economic constructed vulnerability to climatic events serves to expand this understanding. Based on a spatial econometric model, this paper tests the contribution of natural disasters to stimulating the emigration process in vulnerable regions of Mexico. Besides coping and adaptive capacity, it assesses the effects of economic losses due to disasters as well as the adverse production and trade conditions of the 1990s on emigration rates in 2000 at the municipality level. Weather-related disasters were responsible for approximately 80 per cent of economic losses in Mexico between 1980 and 2005, mostly in the agricultural sector, which continues to dominate many parts of the country. It is dramatic that this sector generates around only four per cent of gross domestic product but provides a livelihood to about one-quarter of the national population. It is no wonder, therefore, that most emigration from this country arises in vulnerable rural areas

Agriculture · Development economics · Econometric model · Economic growth · Economics · Emigration · Geography · Gross domestic product · Livelihood · Natural disaster · Population · Vulnerability (computing · Agricultural risk and resilience · Climate change impacts on agriculture · Demography · Spatial and Panel Data Analysis

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Citations per year1
Citation span2012 - 2024 (13)
Highly citedNo

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