Sensitivity of livelihood strategy to livelihood capital in mountain areas: Empirical analysis based on different settlements in the upper reaches of the Minjiang River, China
Fan Jie
2014
关键词Landforms Rivers
英文摘要Livelihood strategies denote the range and combination of activities and choices made by households. Some research has focused on the potential impacts of sustainable livelihood, and only a few studies have begun considering sensitivity of livelihood strategies. Based on the gradient altitude and resettlement project, mountain settlements are classified into four types: the high-mountain settlement, the semi-mountain settlement, the river valley settlement and the resettlement area. Using semi-structured interviews, we have defined the farm and non-farm livelihood strategies as dependent variables, while the natural, human, physical, financial, and social capitals are considered as independent variables in order to model the relationship between livelihood strategies and livelihood capitals. In term of different settlements, we estimate the sensitivity of farm and non-farm livelihood strategies to livelihood capitals. The results indicate that natural and human capitals exhibited a positive correlation with the farm livelihood strategy, although the effect varies with the four types of settlements. Financial and social capitals are the catalyst for driving non-farm activities. Our findings suggest that no size fits all solutions to the livelihood strategy issues, and only livelihood capitals will be helpful in the long term if they are complemented by relative policies that enhance capital capacity as well as increase access to capitals. 2013 Elsevier Ltd. All rights reserved.
出处Ecological Indicators
38页:225-235
收录类别EI
语种英语
内容类型EI期刊论文
源URL[http://ir.igsnrr.ac.cn/handle/311030/31248]  
专题地理科学与资源研究所_历年回溯文献
推荐引用方式
GB/T 7714
Fan Jie. Sensitivity of livelihood strategy to livelihood capital in mountain areas: Empirical analysis based on different settlements in the upper reaches of the Minjiang River, China. 2014.
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