Application of Double Hurdle Model in the Analysis of Determinants of Income Diversification and Its Intensity: Evidence from Gida Ayana District

Paper Details

Research Paper 01/11/2021
Views (875)
current_issue_feature_image
publication_file

Application of Double Hurdle Model in the Analysis of Determinants of Income Diversification and Its Intensity: Evidence from Gida Ayana District

Mekonin Abera Negeri
Int. J. Biosci. 19(5), 76-84, November 2021.
Copyright Statement: Copyright 2021; The Author(s).
License: CC BY-NC 4.0

Abstract

Diversification of income sources, assets, and occupations is often common practice for individuals or households in different parts of the world, but for different reasons. Although less productive, compared to modern sectors, the contributions of rural non-farm works to economic growth, rural employment, and poverty reduction. This study attempted to identify potential factors influencing non-farm income diversification in Gida Ayana district based on the data obtained from 196 rural households. Descriptive results depicted that 34.2% of the sampled households were engaged in non-farm works that are performed as a complement to agriculture part-time or during the agricultural off-seasons. An econometric result from the first hurdle model revealed that households’ participation in non-farm work is positively and significantly influenced by education of household head, number of oxen, access to credit and access to market information while negatively and significantly influenced by the use of fertilizer. Similarly, the second hurdle model result showed that the amount of income from the non-farm sector is positively and significantly influenced by the number of oxen and access to market information while negatively and significantly affected by distance to the nearest market and use of fertilizer. Based on the result, households in the study area are recommended to diversify the source of their income for their family need in addition to farm income since the proportion of non-farm income remains low. The effort of the local agricultural sector and development agents are also required to expand rural infrastructure.

Abebe B. 2008. Determinants of Off-farm Participation Decision of Farm Households in Ethiopia.  Agrekon 47(1).

Adugna L. 2009. Determinants of Income Diversification in Rural Ethiopia: Evidence from Panel Data, Department of Economics, University of Massachusetts Boston, USA.

Cochran WG. 1977. Sampling Techniques, (3rd ed.), New York: John Wiley & Sons.

Getachew Y. 2012. Rural Non-farm Sector and Poverty: Evidence from Some Villages of Amhara Region, Ethiopia. Ethiopian Journal of Economics 21(2).

Haggblade S, Hazell P, Brown J. 1989. Farm-Nonfarm Linkages in Rural Sub-Saharan Africa. World Development 17(8), 1173-1201.

Ibekwe UC, Eze CC, Ohajianya DO, Orebiyi JS, Onyemauwa CS, Korie OC. 2010. Determinants of Non-farm Income among Farm Households inSouth East Nigeria, Federal University of Technology, Owerri, Imo State, Nigeria.

IFPRI [International Food Policy Research Institute]. 2009. Transforming the Rural Non-farm Economy. Issue brief 58.

Jean OL, Peter L. 1995. Rural Non-farm Employment. Background Paper for World Development Report, Washington: The World Bank.

Javier E. 2001. The Determinants of Non-farm Income Diversification in Rural Peru. World development 29(3), 497-508.

Tshabalala PM, Sidique SF. 2020. Determinants of Non-farm Enterprise Diversification in Rural Ethiopia. Journal of Enterprising Communities People and Places in the Global Economy 14(4), https://doi.org/10.1108/JEC-03-2020-0020

Gobena M, Wedajo S, Girma S. 2019. Prevalence and Determinants of Smoking in Gida Ayana Town, Eastern Wollega, Ethiopia: Cross-Sectional Study. Journal of Addiction Research and Therapy 10(3).

Prowse M. 2015. The Determinants of Non-Farm Income Diversification in Rural Ethiopia. Journal of Poverty Alleviation and International Development 6(1), 109-130.

Raphael OB, Matin Q. 2009. Impact of off-farm income on food security and nutrition in Nigeria, Proceedings of the German Development Economics Conference, Frankfurt a.M. 2009, No. 27, Verein für Socialpolitik, Ausschuss für Entwicklungsländer, Göttingen.

World Bank. 2008. The International Bank for Reconstruction and DevelopmentReoprt, Agriculture for development, Washington D 20433.

Related Articles

Medicinal plants sold in Daloa markets: Traditional knowledge and Public health issues

Kouakou Yao Bertin, Kouakou Assoman Serge Alain, Kouame Yao Anicet Gervais, Malan Djah François, Bakayoko Adama, Int. J. Biosci. 27(2), 200-210, August 2025.

Agronomic performance and profitability of coffee wildlings using different soil media mixtures

Maribel L. Fernandez, Ricardo B. Casauay, Ronel A. Collado, Int. J. Biosci. 27(2), 189-199, August 2025.

Implications of aberrant glycosylation on age-related disease progression

Tahmid Ahmad Patwary, Mukramur Rahman, Md. Nafis Fuad Prottoy, Sayad Md. Didarul Alam, Int. J. Biosci. 27(2), 176-188, August 2025.

Design and development of solar powered water sprayer: A green technology innovation

Lorenzo V. Sugod, Int. J. Biosci. 27(2), 159-175, August 2025.

Knowledge, attitudes, practices, and social awareness regarding SARS-CoV-2 infection in the kyrgyz population in the post-pandemic period

Mirza Masroor Ali Beg, Haider Ali, Yahya Nur Ahmed, Yavuz Gunduz, Hafsa Develi, Tilekeeva UM, Int. J. Biosci. 27(2), 151-158, August 2025.

Tumor suppressing ability of myrtenal in DMBA-induced rat mammary cancer: A biochemical and histopathological evaluation

Manoharan Pethanasamy, Shanmugam M. Sivasankaran, Saravanan Surya, Raju Kowsalya, Int. J. Biosci. 27(2), 141-150, August 2025.

Assessing tree diversity in cashew plantations: Environmental and agronomic determinants in buffer zones of Mont Sangbé National Park, western Côte d’Ivoire

Kouamé Christophe Koffi, Kouakou Hilaire Bohoussou, Serge Cherry Piba, Naomie Ouffoue, Sylvestre Gagbe, Alex Beda, Adama Tondossama, Int. J. Biosci. 27(2), 122-133, August 2025.