Drivers of Level of Adaptation to Climate Change in Smallholder Farming Systems in Southern Africa: A Multilevel Modeling Approach
Rattachement africain : Zimbabwe. Niveau de preuve : code pays fourni par la source.
Le résumé fourni par la source
Abstract Climate change is a major development challenge affecting developing countries that rely on rain-fed agricultural production for food and income. Smallholder farmers in these countries are using multiple adaptation practices to manage the effects of climate change. This chapter examines household and community-level factors that influence smallholder farmers’ level of adaptation to climate change in the Hwedza District in Zimbabwe. Data for this study were collected from 400 randomly selected smallholder farmers, using a structured questionnaire, focus group discussions, and key informant interviews. The study used a multilevel modeling approach to examine the factors that influence smallholder farmers’ level of adaptation to climate change. Results from the study show that smallholder farmers’ level of adaptation to climate change is conditioned by access to extension services, access to remittances, family labor, household education (household level factors), and linking capital (community-level factor). This chapter therefore concludes that smallholder farmers that have higher levels of adaptation to climate change are those that are well linked to external organizations and have access to agricultural extension services. The chapter recommends that adaptation to climate change can be enhanced by improving access to agricultural extension services and promoting linkages with external organizations that provide information on agricultural adaptation practices.
Ce résumé expose les affirmations des auteurs. BNTIC ne l’interprète pas comme une validation indépendante des résultats.
Le contrôle bibliographique ouvert
DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.
- Titre Crossref
- Drivers of Level of Adaptation to Climate Change in Smallholder Farming Systems in Southern Africa: A Multilevel Modeling Approach
- Date Crossref
- 01/01/2021
- Éditeur
- Springer International Publishing
- Type
- book-chapter
Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude, et il ne compte pas comme une seconde source scientifique indépendante.
Où se fait cette recherche
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University of Zimbabwe Centre for Applied Social Sciences Harare, Zimbabwe (code pays fourni par la source)Université ou école supérieure
Centre for Applied Social Sciences — University of Zimbabwe (Harare, Zimbabwe). Pays d’affiliation : Zimbabwe.
Une affiliation ne permet pas de déduire la nationalité d’un auteur.