کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
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6459996 | 1421778 | 2017 | 15 صفحه PDF | دانلود رایگان |
- We study external relations of rural agricultural households in Ghana to evaluate their adaptive capacity.
- Closer relations with local actors exposes households to more knowledge and resources, strengthening their ability to adapt.
- Not all external relations offer households equal opportunities to connect, leading to variation in their adaptive capacity.
- Local actor and community networks provide links to agencies crucial for effective adaptation action in rural agriculture.
Current models of adaptation to climate change focus on common causes of vulnerability among individuals and communities in an attempt to improve their capacity to adapt. These models tend to neglect the impact on vulnerability of local relationships that include political and economic power structures. We use social network analysis to examine the connectivity and positions of vulnerable rural households and their capacity to adapt. We collected empirical data from a community of 58 smallholders in upper west Ghana on external relations with 'local actors' that are independent, operate beyond the community yet have direct relations with the community. These connections provide important resources and knowledge to build adaptive capacity that would not be generated from within the community. Our results highlight that certain external relations expose households to knowledge and other forms of capital, which in turn strengthen their ability to access and mobilise resources to respond to environmental change. However, not all external relations offer equal opportunities, which results in a stratified community and variation in the households' capacity to adapt. The network approach also identifies points where local actors can link communities and households to remote agencies crucial for planning and implementing effective adaptation. Keywords: Adaptation; Adaptive capacity; Rural agriculture; Climate change; Rural community, Social network analysis; Vulnerability
Journal: Journal of Rural Studies - Volume 53, July 2017, Pages 214-228