Socio-Economic Factors Affecting the Income of Small-scale Agroforestry Farms in Hill Country Areas in Yemen: A comparison of OLS and WLS Determinants

Safa, Mohammad Samaun (2005) Socio-Economic Factors Affecting the Income of Small-scale Agroforestry Farms in Hill Country Areas in Yemen: A comparison of OLS and WLS Determinants. Small-Scale Forestry, 4 1: 117-134. doi:10.1007/s11842-005-0008-7

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Author Safa, Mohammad Samaun
Title Socio-Economic Factors Affecting the Income of Small-scale Agroforestry Farms in Hill Country Areas in Yemen: A comparison of OLS and WLS Determinants
Journal name Small-Scale Forestry   Check publisher's open access policy
ISSN 1873-7617
1873-7854
Publication date 2005-03
Sub-type Article (original research)
DOI 10.1007/s11842-005-0008-7
Open Access Status File (Author Post-print)
Volume 4
Issue 1
Start page 117
End page 134
Total pages 18
Place of publication Dordrech, The Netherlands
Publisher Springer
Language eng
Subject 140201 Agricultural Economics
140205 Environment and Resource Economics
050209 Natural Resource Management
300606 Agroforestry
Abstract Yemen is a less-developed country in the Arabian Peninsula, with only 3% arable land. An agroforestry land-use system has been practiced traditionally by small-scale farmers, but is associated with low productivity and income. A study has been undertaken to determine the socio-economic attributes of farmers that influence the financial performance of agroforestry and nonagroforestry farms in the Bura’a Mountain region. A survey was conducted of 150 farmers involved in both agroforestry and non-agroforestry. Both OLS and WLS regression were applied, and coefficients compared in terms of consistency and goodness of fit. Incomes of farmers were found to be influenced by education, area of land, livestock holding, family size, and whether coffee is grown, but not farmer’s age. The WLS method produced efficient and consistent results, whereas OLS regression was affected by the heteroscedasticity. The findings of the study indicate that the farmers of the study area are in need of financial and technical support from government to increase their income. Infrastructural development and public intervention in developing farmers’ technical know-how could enhance production and ensure the optimum use of land as well as soil and water conservation.
Keyword Bura’a Mountain region
heteroscedasticity
WLS regression analysis
income determinants
highland agroforestry
Q-Index Code C1

Document type: Journal Article
Sub-type: Article (original research)
Collection: School of Agriculture and Food Sciences
 
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Created: Thu, 05 Nov 2009, 10:18:37 EST by Dr Mohammad Safa on behalf of School of Integrative Systems