Understanding the adoption of climate-smart agriculture: A farm-level typology with empirical evidence from southern Malawi

Research output: Contribution to journalArticle

Abstract

Climate-smart agriculture (CSA) is increasingly important for advancing rural development and environmental sustainability goals in developing countries. Over the past decade, the international community has committed billions of dollars to support various practices under the banner of CSA. Despite this effort, however, CSA adoption remains low in many contexts. Lack of conceptual clarity about the range of potential farm-level CSA practices across contexts impedes understanding of CSA adoption in developing countries. Here we review relevant literature to develop a typology of farm-level CSA practices to facilitate analyses of CSA adoption. The typology consists of six categories, organized from least to most resource intensive: (1) residue addition, (2) non-woody plant cultivation, (3) assisted regeneration, (4) woody plant cultivation, (5) physical infrastructure, and (6) mixed measures. We use the typology to generate and test hypotheses about CSA adoption using primary household survey data from a large aid-funded CSA intervention area in southern Malawi. We then use recursive bivariate probit regression (controlling for endogeneity and selection bias) to estimate the effect of program participation on adoption across CSA categories. We find positive and statistically significant effects of program participation on adoption of CSA practices generally with the strongest effects on resource-intensive CSA categories. Results demonstrate the potential for wider application of the typology to build knowledge of the effectiveness of CSA promotion efforts across different social and environmental contexts. Our findings also suggest the importance of external support for the adoption of more resource-intensive CSA practices among rural households and communities in Malawi and elsewhere in the developing world.

Original languageEnglish (US)
Article number104692
JournalWorld Development
Volume126
DOIs
StatePublished - Feb 2020

Fingerprint

Malawi
typology
farm
agriculture
climate
evidence
developing world
Empirical evidence
Climate
Agriculture
Farm
resource
developing country
resources
participation
household survey
woody plant
rural development
literature review
dollar

Keywords

  • Adoption
  • Climate finance
  • Climate-smart agriculture
  • Farming practices
  • Malawi

ASJC Scopus subject areas

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

Cite this

@article{4f41c5a4f6f549028991995f106d52c2,
title = "Understanding the adoption of climate-smart agriculture: A farm-level typology with empirical evidence from southern Malawi",
abstract = "Climate-smart agriculture (CSA) is increasingly important for advancing rural development and environmental sustainability goals in developing countries. Over the past decade, the international community has committed billions of dollars to support various practices under the banner of CSA. Despite this effort, however, CSA adoption remains low in many contexts. Lack of conceptual clarity about the range of potential farm-level CSA practices across contexts impedes understanding of CSA adoption in developing countries. Here we review relevant literature to develop a typology of farm-level CSA practices to facilitate analyses of CSA adoption. The typology consists of six categories, organized from least to most resource intensive: (1) residue addition, (2) non-woody plant cultivation, (3) assisted regeneration, (4) woody plant cultivation, (5) physical infrastructure, and (6) mixed measures. We use the typology to generate and test hypotheses about CSA adoption using primary household survey data from a large aid-funded CSA intervention area in southern Malawi. We then use recursive bivariate probit regression (controlling for endogeneity and selection bias) to estimate the effect of program participation on adoption across CSA categories. We find positive and statistically significant effects of program participation on adoption of CSA practices generally with the strongest effects on resource-intensive CSA categories. Results demonstrate the potential for wider application of the typology to build knowledge of the effectiveness of CSA promotion efforts across different social and environmental contexts. Our findings also suggest the importance of external support for the adoption of more resource-intensive CSA practices among rural households and communities in Malawi and elsewhere in the developing world.",
keywords = "Adoption, Climate finance, Climate-smart agriculture, Farming practices, Malawi",
author = "Amadu, {Festus O.} and McNamara, {Paul E.} and Miller, {Daniel C.}",
year = "2020",
month = "2",
doi = "10.1016/j.worlddev.2019.104692",
language = "English (US)",
volume = "126",
journal = "World Development",
issn = "1873-5991",
publisher = "Elsevier BV",

}

TY - JOUR

T1 - Understanding the adoption of climate-smart agriculture

T2 - A farm-level typology with empirical evidence from southern Malawi

AU - Amadu, Festus O.

AU - McNamara, Paul E.

AU - Miller, Daniel C.

PY - 2020/2

Y1 - 2020/2

N2 - Climate-smart agriculture (CSA) is increasingly important for advancing rural development and environmental sustainability goals in developing countries. Over the past decade, the international community has committed billions of dollars to support various practices under the banner of CSA. Despite this effort, however, CSA adoption remains low in many contexts. Lack of conceptual clarity about the range of potential farm-level CSA practices across contexts impedes understanding of CSA adoption in developing countries. Here we review relevant literature to develop a typology of farm-level CSA practices to facilitate analyses of CSA adoption. The typology consists of six categories, organized from least to most resource intensive: (1) residue addition, (2) non-woody plant cultivation, (3) assisted regeneration, (4) woody plant cultivation, (5) physical infrastructure, and (6) mixed measures. We use the typology to generate and test hypotheses about CSA adoption using primary household survey data from a large aid-funded CSA intervention area in southern Malawi. We then use recursive bivariate probit regression (controlling for endogeneity and selection bias) to estimate the effect of program participation on adoption across CSA categories. We find positive and statistically significant effects of program participation on adoption of CSA practices generally with the strongest effects on resource-intensive CSA categories. Results demonstrate the potential for wider application of the typology to build knowledge of the effectiveness of CSA promotion efforts across different social and environmental contexts. Our findings also suggest the importance of external support for the adoption of more resource-intensive CSA practices among rural households and communities in Malawi and elsewhere in the developing world.

AB - Climate-smart agriculture (CSA) is increasingly important for advancing rural development and environmental sustainability goals in developing countries. Over the past decade, the international community has committed billions of dollars to support various practices under the banner of CSA. Despite this effort, however, CSA adoption remains low in many contexts. Lack of conceptual clarity about the range of potential farm-level CSA practices across contexts impedes understanding of CSA adoption in developing countries. Here we review relevant literature to develop a typology of farm-level CSA practices to facilitate analyses of CSA adoption. The typology consists of six categories, organized from least to most resource intensive: (1) residue addition, (2) non-woody plant cultivation, (3) assisted regeneration, (4) woody plant cultivation, (5) physical infrastructure, and (6) mixed measures. We use the typology to generate and test hypotheses about CSA adoption using primary household survey data from a large aid-funded CSA intervention area in southern Malawi. We then use recursive bivariate probit regression (controlling for endogeneity and selection bias) to estimate the effect of program participation on adoption across CSA categories. We find positive and statistically significant effects of program participation on adoption of CSA practices generally with the strongest effects on resource-intensive CSA categories. Results demonstrate the potential for wider application of the typology to build knowledge of the effectiveness of CSA promotion efforts across different social and environmental contexts. Our findings also suggest the importance of external support for the adoption of more resource-intensive CSA practices among rural households and communities in Malawi and elsewhere in the developing world.

KW - Adoption

KW - Climate finance

KW - Climate-smart agriculture

KW - Farming practices

KW - Malawi

UR - http://www.scopus.com/inward/record.url?scp=85073513461&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85073513461&partnerID=8YFLogxK

U2 - 10.1016/j.worlddev.2019.104692

DO - 10.1016/j.worlddev.2019.104692

M3 - Article

AN - SCOPUS:85073513461

VL - 126

JO - World Development

JF - World Development

SN - 1873-5991

M1 - 104692

ER -