Determinants of Adoption of Mung Bean Variety in Ebinat District, Ethiopia

  • Getnet Tigabu Ethiopian Forestry Development
Keywords: Adoption, Adoption Intensity, Double Hurdle Model, Mung Bean
Share Article:

Abstract

The mung bean crop is an essential legume crop among smallholder farmers because of its benefits like income generation, foreign currency earnings, supplies for local industries, and rural employment. The study intended to find determinants of the adoption of the mung bean variety in the Ebinat District. A multipurpose random sampling technique was used, and 150 smallholder farmers were chosen randomly to collect primary and secondary data. Both econometrics modelling and descriptive statistics were employed to analyse the data. A double hurdle model was used. It showed that, respectively, 46% and 54% existed adopters and non-adopters of mung beans. Model outcomes indicated that total livestock holdings, training, participation in demonstration sites, sex, and access to market information influenced mung bean cultivars. Additionally, the government, non-governmental organizations, and stakeholders should focus on strengthening participation in demonstration sites and training, encouraging, and improving the extension system, and increasing access to farmer's market information

Downloads

Download data is not yet available.

References

Akudugu. A. Guo, M. & Kwesi, S.D. 2012. Adoption of Modern Agricultural Production Technologies by Farm Households in Ghana: What Factors Influence Their Decisions? Journal of Biology, Agriculture and Healthcare, 2(3), 1-13.

Alemitu Mulugeta. 2011. “Factors affecting adoption of improved haricot bean varieties and associated agronomic practices in Dale Woreda”, SNNPRS. MSc thesis Hawassa University, Hawassa, Ethiopia

Asfaw, S. Bekele, S. Franklin, S. & Messia, H. 2011. Agricultural technology adoption, seed access constraint, and commercialisation in Ethiopia. Journal of Development and Agricultural Economics, 3(9), 436-447.

Berhanu G, Swinton SM 2003. “Investment in Soil Conservation in Northern Ethiopia”, The Role of Land Tenure Security and Public Programme. Agricultural Economics. 29:69-84.

Beshir H, Emana B, Kassa B, Haji J 2012. Determinants of chemical fertiliser technology adoption in North-eastern highlands of Ethiopia: The double hurdle approach. Journal of Res. Econ. Int. Fin. 1(2):39-49.

Buraimo A, Rutgers T, Willems D, Dawit K, Dolfen W 2015. “Business Opportunities Report Oilseeds and Pulses #5 in the series written for the Ethiopian Netherlands Business Event”, 5-6 November 2015, Rijswijk, The Netherlands.

Burke, W. J. 2009. Fitting and Interpreting Cragg’s Tobit Alternative using Stata. The Stata Journal. 9, 584-592.

Cochran, W. G. 1977. “Sampling techniques”, 3rd ed., New York: John Wiley & Sons.

Cragg, J.G. 1971. “Some statistical models for limited dependent variables with application to the demand for durable goods”. Econometrical, 39(5): 829-844

CSA (Central Statistical Agency). 2015. “The federal democratic republic of Ethiopia’s Central Statistical Agency, key findings of the 2014/2015 agricultural sample surveys”, Crop yield for major grain crops, private smallholder farms main season 2014/15.

Degaga, J., & Angasu, B. (2017. Assessment of Indigenous knowledge of smallholder farmers on intercropping practices in West Hararghe Zone; Oromia National Regional State, Ethiopia. Journal of Agricultural Economics and Rural Development, 3(3), 270–278.

Ermias Tesfaye, Berhan T, Zemelak S.2015. Determinants of village poultry technology package Adoption Limitations, Constraints and opportunities in the central Oromia Region, Ethiopia. International J. Deve. Res. 5: pp. 4436-4443.

EWAO 2022. “Ebinat Woreda Agriculture Office”, Ebinat Woreda unpublished Report, August 10, 2022.

Gebremichael, B. & Gebremedhin, B.2014. Adoption of improved box hive technology: Analysis of smallholder farmers in Northern Ethiopia. International Journal of Agricultural Economics and Extension, 2(2). 77-82.

Greene, W.H. 2000. “Econometric analysis”, 4th ed., Englewood Cliffs, NJ: Prentice Hall.

Hadush Hagos. “Factors affecting the adoption of upland rice and its implication on system innovation: the case of Tselemti district”, Northwestern zone of Tigray, Ethiopia. MSc Thesis, Haramaya University, Ethiopia. "2015.

Jones, A.M. 1989. A double-hurdle model of cigarette consumption. Journal of Applied Econometrics, 4(1): 23-39.

Koch. (2009). Problem Perception as Pre-Condition of Behaviour Change. South African Journal of Agricultural Extension, Pp.19-25.

Kuti Woles I. 2015. Determinants of adoption of improved maise varieties in Osun State, Nigeria. International Journal of Agricultural Economics and Extension, 3(2), 115 - 121.

Mo ARD 2010. “Ministry of Agriculture: Animal and Plant Health Regulatory Directorate”. Crop Variety Register Issue No. 14. Addis Ababa, Ethiopia.

Negara Eba and Getachew Bashargo. 2014. Factors affecting the adoption of chemical fertiliser by smallholder farmers in Guto Gida District, Ethiopia. Science, Technology, and Arts Research Journal, April-June 2014, 3(2): 237-244.

Solomon Asfaw and Bekele Shiferaw. 2010. “Agricultural technology adoption and rural poverty”, Application of Endogenous Switching regression for selected East African countries. Poster Presented at the joint 3rd African Association of Agricultural Economics (AAAE): 19-23.

Wuletaw Mekuria and Daniel Tadesse. 2015. Determinants affecting adoption of malt barley technology: Evidence from North Gondar Ethiopia. Journal of Food Security3(3): 75-81.

Yenealem Kassa, Ranjan S. Kakrippai and Belaineh Legesse. 2013. Determinants of adoption of improved maise varieties for male-headed and female-headed households in West Hararghe Zone, Ethiopia. International Journal of Economic Behaviour and Organization, 1(4): 33-38.

Published
29 May, 2023
How to Cite
Tigabu, G. (2023). Determinants of Adoption of Mung Bean Variety in Ebinat District, Ethiopia. East African Journal of Agriculture and Biotechnology, 6(1), 155-168. https://doi.org/10.37284/eajab.6.1.1230