Correlates of Maize Land and Livelihood Change Among Maize Farming Households in Mexico

Hallie Eakin, Kirsten Appendini, Stuart Sweeney, Hugo Perales

Research output: Contribution to journalArticle

11 Citations (Scopus)

Abstract

We use classification tree analysis to identify the primary predictors of a suite of maize land use and livelihood outcomes for smallholder farmers in three regions of Mexico (Sinaloa, Mexico state, and Chiapas). Our analysis identifies regionally specific correlates with change in maize area, yield, and income, spanning demographic, environmental, and social development factors. Our results indicate that there may be opportunities for surplus production and market participation in some rain fed areas. We confirm the significance of regional and inter-regional heterogeneity in farmers' responses and strategies, underscoring the value of regionally specific policy interventions.

Original languageEnglish (US)
Pages (from-to)78-91
Number of pages14
JournalWorld Development
Volume70
DOIs
StatePublished - Jun 1 2015

Fingerprint

livelihood
farmer
Mexico
maize
smallholder
social development
land use
income
market
participation
Values
land
analysis
household
Household
Farming
Maize
Livelihoods
Correlates
policy

Keywords

  • Classification trees
  • Livelihood change
  • Maize
  • Mexico
  • Smallholders

ASJC Scopus subject areas

  • Economics and Econometrics
  • Development
  • Geography, Planning and Development
  • Sociology and Political Science

Cite this

Correlates of Maize Land and Livelihood Change Among Maize Farming Households in Mexico. / Eakin, Hallie; Appendini, Kirsten; Sweeney, Stuart; Perales, Hugo.

In: World Development, Vol. 70, 01.06.2015, p. 78-91.

Research output: Contribution to journalArticle

Eakin, Hallie ; Appendini, Kirsten ; Sweeney, Stuart ; Perales, Hugo. / Correlates of Maize Land and Livelihood Change Among Maize Farming Households in Mexico. In: World Development. 2015 ; Vol. 70. pp. 78-91.
@article{447af47291a2421593e7e352482fc987,
title = "Correlates of Maize Land and Livelihood Change Among Maize Farming Households in Mexico",
abstract = "We use classification tree analysis to identify the primary predictors of a suite of maize land use and livelihood outcomes for smallholder farmers in three regions of Mexico (Sinaloa, Mexico state, and Chiapas). Our analysis identifies regionally specific correlates with change in maize area, yield, and income, spanning demographic, environmental, and social development factors. Our results indicate that there may be opportunities for surplus production and market participation in some rain fed areas. We confirm the significance of regional and inter-regional heterogeneity in farmers' responses and strategies, underscoring the value of regionally specific policy interventions.",
keywords = "Classification trees, Livelihood change, Maize, Mexico, Smallholders",
author = "Hallie Eakin and Kirsten Appendini and Stuart Sweeney and Hugo Perales",
year = "2015",
month = "6",
day = "1",
doi = "10.1016/j.worlddev.2014.12.012",
language = "English (US)",
volume = "70",
pages = "78--91",
journal = "World Development",
issn = "1873-5991",
publisher = "Elsevier BV",

}

TY - JOUR

T1 - Correlates of Maize Land and Livelihood Change Among Maize Farming Households in Mexico

AU - Eakin, Hallie

AU - Appendini, Kirsten

AU - Sweeney, Stuart

AU - Perales, Hugo

PY - 2015/6/1

Y1 - 2015/6/1

N2 - We use classification tree analysis to identify the primary predictors of a suite of maize land use and livelihood outcomes for smallholder farmers in three regions of Mexico (Sinaloa, Mexico state, and Chiapas). Our analysis identifies regionally specific correlates with change in maize area, yield, and income, spanning demographic, environmental, and social development factors. Our results indicate that there may be opportunities for surplus production and market participation in some rain fed areas. We confirm the significance of regional and inter-regional heterogeneity in farmers' responses and strategies, underscoring the value of regionally specific policy interventions.

AB - We use classification tree analysis to identify the primary predictors of a suite of maize land use and livelihood outcomes for smallholder farmers in three regions of Mexico (Sinaloa, Mexico state, and Chiapas). Our analysis identifies regionally specific correlates with change in maize area, yield, and income, spanning demographic, environmental, and social development factors. Our results indicate that there may be opportunities for surplus production and market participation in some rain fed areas. We confirm the significance of regional and inter-regional heterogeneity in farmers' responses and strategies, underscoring the value of regionally specific policy interventions.

KW - Classification trees

KW - Livelihood change

KW - Maize

KW - Mexico

KW - Smallholders

UR - http://www.scopus.com/inward/record.url?scp=84921742572&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84921742572&partnerID=8YFLogxK

U2 - 10.1016/j.worlddev.2014.12.012

DO - 10.1016/j.worlddev.2014.12.012

M3 - Article

VL - 70

SP - 78

EP - 91

JO - World Development

JF - World Development

SN - 1873-5991

ER -