417
Views
2
CrossRef citations to date
0
Altmetric
Research Article

Farmers’ Intentions Toward Sustained Agroforestry Adoption: An Application of the Theory of Planned Behavior

ORCID Icon & ORCID Icon
Pages 869-886 | Published online: 13 Sep 2022
 

ABSTRACT

Adoption of agroforestry, which is a combination of growing perennial trees along with crops and/or livestock in spatial and temporal arrangements, is recommended for improving the livelihoods of smallholders. Alike several other technologies, the adoption status of agroforestry innovations in sub-Saharan Africa is considered poor. Studies have shown that plethora of biophysical and socioeconomic variables affect adoption of agroforestry innovations. In these studies, the contribution of psychological variables determining the voluntary decision-making on agroforestry adoption decisions is often neglected and marginally explored. This paper aims at exploring the role of psychological variables for the sustained agroforestry adoption intention. We employed the Theory of Planned Behavior (TPB) to predict sustained agroforestry adoption intentions of 327 farmers in the Amhara region of Ethiopia. Intention for sustained agroforestry woodlots adoption is assessed by employing the confirmatory factor analysis. Farmers’ intention to sustain adoption of agroforestry woodlot innovations is principally driven by their positive evaluation of the cash and livelihood benefits of the innovations (attitude) compared to traditional farming, their own capability to produce the innovations and accessibility of resources (perceived behavioral control), and the farmers’ perception of pressure and expectations from experts and important others (subjective norms). By employing TPB, this study brings a theoretical contribution to the TPB framework and measurement guidelines, unveils limitations of applying confirmatory factor analysis in a ‘new’ (woodlots) context and suggests data-based policy and development implications.

Acknowledgments

This study is part of Dagninet Amare’s PhD project collaboratively offered by Rhine Waal University and Technische Universitat Dresden (TUD). We are grateful to the guidance and supervision by Prof. Dr. Jürgen Pretzsch and the contribution of TUD staff in Tharandt as well as the generosity and facilitation at Kleve. The paper highly benefited from the critical comments made by two anonymous reviewers.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Data availability

The data used for this study can be accessed through personal request of the authors.

Supplementary material

Supplemental data for this article can be accessed online at https://doi.org/10.1080/10549811.2022.2123358

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 232.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.