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
研究城乡结合部的土地利用与生计变迁日益成为发展科学关注的焦点。目前,中等城市是土地治理和民生变化非常快的地方,往往比大城市更快。本研究将以阿瓦萨为例,调查埃塞俄比亚城乡结合部土地治理和生计的转变。该研究将转换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、社会技术制度和社会技术景观。该研究将分析城市化对哈瓦萨城乡结合部小农生计的影响。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、制图、自由列表、偏好排序、焦点小组讨论和参与者观察进行定性数据收集。接下来是第二阶段,通过半结构化和结构化访谈收集定量数据。最后,与政府机构和非政府组织的专家的访谈将结束数据收集。定性数据的分析将使用ATLAS-ti进行,定量数据的分析将使用SPSS和STATA。
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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