A latent class analysis of improved agro-technology use behavior in Uganda: Implications for optimal targeting

Emmanuel Bizimungu and Nassul Kabunga

No 1704, IFPRI discussion papers from International Food Policy Research Institute (IFPRI)

Abstract: This study uses a large dataset that covers a wide geographical and agricultural scope to describe the use patterns of improved agro-technology in Uganda. Using latent class analysis with data on more than 12,500 households across the four regions of Uganda, we classify farmers based on the package of improved agro-technologies they use. We find that the majority of farmers (61 percent) do not use any improved agricultural practices (the “nonusers†), whereas only 5 percent of farmers belong to the class of “intensified diversifiers,†those using most of the commonly available agro-technologies across crop and livestock enterprises. Using multinomial regression analysis, we show that education of the household head, access to extension messages, and affiliation with social groups are the key factors that drive switching from the nonuser (reference) class to the other three (preferred) classes that use improved agrotechnologies to varying degrees. Results reveal the existence of heterogeneous farmer categories, certainly with different agrotechnology needs, that may have implications for optimal targeting.

Keywords: innovation adoption; technology; agriculture; agricultural productivity (search for similar items in EconPapers)
Date: 2018
New Economics Papers: this item is included in nep-agr and nep-dev
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://cdm15738.contentdm.oclc.org/utils/getfile/c ... /filename/132469.pdf (application/pdf)

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:fpr:ifprid:1704

Access Statistics for this paper

More papers in IFPRI discussion papers from International Food Policy Research Institute (IFPRI) Contact information at EDIRC.
Bibliographic data for series maintained by ().