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| Mokoena, M.R.; Mekuria, Mulugetta; Ngqaleni, M.. |
| Northern Province is predominantly a rural region where agriculture is the dominant sector and plays an important role in the provincial economy. Women are the majority of the poor living in these rural areas and depend heavily on farming. But their agricultural productivity is below potential as they don’t have access to productive assets such as land and credit. This study based on a farm survey undertaken in the seven districts in the former Lebowa homeland in the Northern Province, attempts to identify factors which determine women farmers’s access to more farming land and credit facilities. The results show that most of the women are not satisfied with the size of the land which they own and they have never used farming credit. The probit analysis... |
| Tipo: Journal Article |
Palavras-chave: Agricultural Finance; Land Economics/Use. |
| Ano: 1997 |
URL: http://purl.umn.edu/54979 |
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| Hassan, Rashid M.; Mekuria, Mulugetta; Mwangi, Wilfred. |
| This report documents the impacts of international maize breeding research in eastern and southern Africa. It draws on information from a comprehensive 1998/99 survey of public and private maize breeding and seed production organizations active in the region. In many countries of eastern and southern Africa, policy reforms introduced in the 1980s and 1990s encouraged private sector participation in the maize seed industry. The private sector now supplies most of the maize seed in the region, spends more on research, and generates a larger number of maize releases than the public sector. Hybrids dominate varietal releases and seed sales, a trend that may negatively affect subsistence-oriented farmers who lack resources to buy fresh seed every season.... |
| Tipo: Working or Discussion Paper |
Palavras-chave: Agribusiness. |
| Ano: 2001 |
URL: http://purl.umn.edu/23723 |
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| Langyintuo, Augustine S.; Mekuria, Mulugetta. |
| Researchers have traditionally applied censored regression models to estimate factors influencing farmers' decisions to adopt improved technologies for the design of appropriate intervention strategies. The standard Tobit model, commonly used, assumes spatial homogeneity implicitly but the potential for the presence of spatial heterogeneity (spatial autocorrelation or dependence) is high due to neighborhood influence among farmers. Ignoring spatial autocorrelation (if it exists) would result in biased estimates and all inferences based on the model will be incorrect. On the other hand, if spatial dependence is ignored the regression estimates would be inefficient and inferences based on t and F statistics misleading. To account for neighborhood influence,... |
| Tipo: Conference Paper or Presentation |
Palavras-chave: Farm Management. |
| Ano: 2005 |
URL: http://purl.umn.edu/19521 |
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