Technology adoption typology and rice yield differentials in Ghana: Principal component analysis approach

Franklin Nantui Mabe, Samuel Arkoh Donkoh and Seidu Al-Hassan

African Journal of Science, Technology, Innovation and Development, 2019, vol. 11, issue 5, 555-567

Abstract: This study used primary data obtained from rice farmers in Guinea Savannah Zone (GSZ), Forest Savannah Transition Zone (FSTZ) and Coastal Savannah Zone (CSZ). Principal component analysis (PCA) was used to classify farmers into technology adopters. The study used Welch’s t-test to test the statistical significant differences in yield between technology adopters. Through the use of PCA, farmers were objectively classified as non-adopters (users of indigenous farming practices, IFPs), adopters of farmer innovation systems (FISs), adopters of improved agricultural technologies (IATs), and adopters of both FISs and IATs. Comparatively, a larger proportion of farmers in CSZ adopted IATs. The lowest percentage of farmers adopted IATs in GSZ. FISs’ package is highly adopted by farmers in FSTZ. With the help of Welch t-test, the study demonstrated that adopters of FISs obtained appreciable rice productivity even though it is second to IATs. The study showed that IATs are the superior technologies when considering rice productivity and hence should be highly promoted among farmers in the whole country. Concerted and co-ordinated efforts should be made for researchers in national agricultural research and academic agricultural research institutions or centres to research into rice production and farmer innovation systems, improve upon them and make them available to farmers for adoption.

Date: 2019
References: Add references at CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://hdl.handle.net/10.1080/20421338.2018.1551849 (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:rajsxx:v:11:y:2019:i:5:p:555-567

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/rajs20

DOI: 10.1080/20421338.2018.1551849

Access Statistics for this article

African Journal of Science, Technology, Innovation and Development is currently edited by None

More articles in African Journal of Science, Technology, Innovation and Development from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().