International Journals of Economic and Business Management

Vol. 9(1), pp. 14-20, January, 2021.

ISSN: 2384-6151

DOI: 10.14662/IJEBM2020.130

 

 

Full Length Research

 

Application of Ordinal Logistic Regression Analysis in Determining Factors Affecting SIMLESA Technologies Adoption in Southern Ethiopia

 

Muluken Philipos* and Guta Bukero

 

Agricultural Economics Research Process, Wondo Genet Agricultural Research Center, P.O.Box 198, Shashemene, Ethiopia. P.O.Box 2003, Addis Ababa, Ethiopia. Corresponding author�s E-mail: natinard.philip1@gmail.com

 

Accepted 29 January 2021

Abstract

 

The study attempts to develop an ordinal logistic regression (OLR) model to identify the determinants of SIMLESA technologies using the data of 150 respondents interviewed during adoption monitoring Survey 2014 in southern Ethiopia. Based on the adoption index (score) the adopters are categorized into three groups-high adopter, partial adopter and low adopter. Since adoption status is ordinal, an OLR model employed to identify factors affecting technology adoption. The proportional odds model (PPOM) has also been developed to check the applicability of the OLR model. Based on the analysis result of this study, we find that Age, Education level & source of information were the significant predictors of technology adoption in the study area. However, our analysis also highlights that land size and total livestock unit were less significant to adopt the given technology. The study also revealed that the proportional odds assumption holds true. The findings clearly justify that OLR models is appropriate to find predictors of technology adoption. Therefore, the study suggested that more emphasis should be given for higher education and proper mechanism of information delivery system platform should be designed for the enhancement of technology adoption in the study area.

 

Keywords: Ordinal logistic regression model, Proportional odds model, SIMLESA


 

Cite This Article As: Muluken P.,Guta, B(2021). Application of Ordinal Logistic Regression Analysis in Determining Factors Affecting SIMLESA Technologies Adoption in Southern Ethiopia. Inter. J. Econ. Bus. Manage. 9(1): 14-20