The perception and determinants of agricultural technology adaptation of teff producers to climate change in North Shewa zone, Amhara Regional State, Ethiopia

Girma Mulugeta Emeru

Cogent Economics & Finance, 2022, vol. 10, issue 1, 2095766

Abstract: The ongoing climate change is vital to exert context-specific responses to allay its adverse effects. The purpose of this study is to examine the perception and determinants of agricultural technology adaptation of teff producers to climate change in North Shewa zone, Ethiopia. Data were collected from 378 farming households through a multistage and simple proportional sampling procedure. Both descriptive and econometric analyses were used in this study. A Heckman probit model and a multinomial logit (MNL) model are used to examine the determinants of perception and adaptation to climate change, respectively. The results of the Heckman probit model revealed that gender, farm experience, access to extension services and information access were found to have a significant influence on the probability of farmers to perceive and/or adapt to climate change. The multinomial logit models showed that education, gender of the household head being male, marital status, farming experience, income, access to information, livestock ownership, tenure status, and access to extension are the main factors that increase adaptive capacity. However, distance to the nearest market and family size negatively and significantly affect the decision to adopt various agricultural technologies. This study recommends that, Future development initiatives should focus on enhencing perception and scaling up climate change adaption technology, which calls for a public-private collaboration and a shared vision of all potential stakeholders.

Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://hdl.handle.net/10.1080/23322039.2022.2095766 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:oaefxx:v:10:y:2022:i:1:p:2095766

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/OAEF20

DOI: 10.1080/23322039.2022.2095766

Access Statistics for this article

Cogent Economics & Finance is currently edited by Steve Cook, Caroline Elliott, David McMillan, Duncan Watson and Xibin Zhang

More articles in Cogent Economics & Finance from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().