Transitions in Rural-Urban Interfaces: Urbanization, land governance and livelihood in Ethiopia
Transitions in Rural-Urban Interfaces: Urbanization, land governance and livelihood in Ethiopia
批准号:
432513699
负责人:
Dr. Girma Kelboro Mensuro, Ph.D.
金额:
$0.0万
依托单位国家:
德国
项目类别:
Research Grants
财政年份:
2019
资助国家:
德国
项目状态:
已结题
起止时间:
2018-12-31 至 2023-12-31
中文摘要
研究城乡交界处的土地利用和生计变迁日益成为发展科学中的一个主要问题。目前,中等城市是土地治理和生计变化非常快的地方,往往比大城市快。这项研究将以哈瓦萨为例,调查埃塞俄比亚城乡交界处土地治理和生计的转变。这项研究将转型理解为一个多层次的治理过程。它发生在三个相互关联的层面:生态位、社会技术体制和社会技术格局。这项研究将分析城市化如何影响哈瓦萨城乡交界处的小农生计。将采用混合方法进行数据收集和分析。研究的第一阶段包括通过样带行走、地图绘制、自由列出、偏好排名、焦点小组讨论和参与者观察等方式收集定性数据。然后是第二阶段,通过半结构化和结构化访谈收集定量数据。最后,将对政府组织和非政府组织的专家进行访谈,总结数据收集工作。定性数据将借助ATLAS-ti进行分析,而定量数据将使用SPSS和STATA进行分析。
英文摘要
Studying land use and livelihood transitions in rural-urban interfaces increasingly becomes a major concern in development sciences. Currently, middle-sized cities are places where land governance and livelihood changes are taking place very fast, often faster than in the bigger cities. This research will investigate transitions in land governance and livelihoods in rural-urban interfaces in Ethiopia taking the case of Hawassa. The study understands transition as a multi-level governance process. It takes place in three interconnected levels: niche, socio-technical regime, and socio-technical landscape. The study will analyze how urbanization impacts on smallholder farmers livelihoods in rural-urban interfaces in Hawassa. Mixed methods approach will be followed for data collection and analysis. The first phase of the research consists of qualitative data collection through transect walk, mapping, free listing, preference ranking, focus group discussion, and participant observation. This will be followed by the second phase in which quantitative data is collected through semi-structured and structured interviews. Finally, interviews with experts in government organizations and NGOs will conclude the data collection. Analysis of qualitative data will be carried out with the help of ATLAS-ti, whereas quantitative data will be analyzed using SPSS and STATA.
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