The Effect of Rainwater Harvesting and Management in a Rain-fed Agricultural Production System of Sodo Zuria District, Southern Ethiopia

Mesay Gelaw Hoyiso^1, and Genemo Fitala Feyissa¹

¹Department of Economics College of Business and Economics, Madda Walabu University, Bale-Robe, Ethiopia

Cite this paper:
Mesay Gelaw Hoyiso and Genemo Fitala Feyissa. The Effect of Rainwater Harvesting and Management in a Rain-fed Agricultural Production System of Sodo Zuria District, Southern Ethiopia. Journal of Finance and Economics. 2022; 10(1):29-36. doi: 10.12691/jfe-10-1-5

Abstract

The research looked at the effect of rainwater harvesting and management in the Sodo Zuria District's rain-fed agricultural production system. To identify sample households, a multistage sampling procedure was used. The primary data were collected from 379 sample households, and secondary data sources were also collected from written documents and journal articles. Data analysis was employed using descriptive methods and econometric models. The study used a binary logit model to analyse the effect of rainwater harvesting and management in rain-fed agricultural production systems, while a logistic regression model was used to estimate the factors that affect adopters and nonadopters of rainwater harvesting technologies. Thirteen explanatory variables were considered to be included in the logit econometric model. Of those, six explanatory variables had a statistically significant influence on households’ participation in adopting rainwater-harvesting technologies. These variables are the educational level of the household head, extension contacts, land size, farm experiences, tropical livestock units and family size of households. All significant variables have positively affected household participation in rainwater harvesting, and households that are users of rainwater harvesting affirm that their livelihood has been improved. Therefore, the promoters of rainwater harvesting should consider the educational level of the household head, extension contacts, land size, farm experiences, tropical livestock units and family size of households while initiating and implementing rainwater harvesting technologies.

Keywords:
rainwater harvesting technology agricultural production Binary Logit Model Sodo Zuria District

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