Relationships and the Determinants of Sustainable Land Management Technologies in North Gojjam Sub-Basin, Upper Blue Nile, Ethiopia

被引:10
|
作者
Ewunetu, Alelgn [1 ,2 ]
Simane, Belay [2 ]
Teferi, Ermias [2 ,3 ]
F. Zaitchik, Benjamin [4 ]
机构
[1] Woldia Univ, Dept Geog & Environm Studies, POB 400, Woldia, Ethiopia
[2] Addis Ababa Univ, Ctr Environm & Dev Studies, POB 1176, Addis Ababa, Ethiopia
[3] Addis Ababa Univ, Water & Land Resource Ctr, POB 1176, Addis Ababa, Ethiopia
[4] Johns Hopkins Univ, Dept Earth & Planetary Sci, Baltimore, MD 21218 USA
关键词
sustainable land management; soil erosion; adoption; land degradation; Blue Nile; north Gojjam sub-basin; WATER CONSERVATION PRACTICES; SOIL-EROSION RISK; AGRICULTURAL PRACTICES; EMPIRICAL-EVIDENCE; FARMERS ADOPTION; PHYSICAL SOIL; DEGRADATION; HIGHLANDS; REGION; BUNDS;
D O I
10.3390/su13116365
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Sustainable land management (SLM) is a leading policy issue in Ethiopia. However, the adoption and continuous use of SLM technologies remain low. This study investigates the interrelationship of adopted SLM technologies and key factors of farmers' decisions to use SLM technologies in the North Gojjam sub-basin of the Upper Blue Nile. The study was based on the investigation of cross-sectional data obtained from 414 randomly selected rural household heads, focus group discussions, and key informant interviews. Descriptive statistics and Econometric models (i.e., Multivariate Probit and Poisson regression) were used to analyze quantitative data, while a content analysis method was used for qualitative data analysis. Results indicate that at least one type of SLM technology was implemented by 94% of farm households in the North Gojjam sub-basin. The most widely used technologies were chemical fertilizer, soil bund, and animal manure. Most of the adopted SLM technologies complement each other. Farm size, family size, male-headed household, local institutions, perception of soil erosion, livestock size, total income, and extension service increased the adoption probability of most SLM technologies. Plot fragmentation, household age, plot distance, off-farm income, market distance, and perception of good fertile soil discourage the adoption probability of most SLM technologies. To scale up SLM technologies against land degradation, it is important to consider households' demographic characteristics, the capacity of farm households, and plot-level related factors relevant to the specific SLM technologies being promoted.
引用
收藏
页数:19
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