Resources
Displaying 241 - 245 of 2258Large-Scale Land Acquisition and Household Farm Investment in Northern Ghana
Many studies have investigated the effects of large-scale land acquisition (LSLA) on livelihood, while the effects of LSLA by different actors on investment decisions and levels of investment have largely gone without academic scrutiny. Consequently, information concerning the implications of LSLA by actors on investment is scarce in the literature pertaining to policy.
Reform of Collective Land for Construction and Rental Housing and the Growth of Farmers’ Property Income: Evidence from China
Increasing farmers’ income has always been the core task of China’s land reform. In 2017, a nationwide pilot project on the use of collective construction land for the construction of rental housing was launched. This study employed the synthetic difference-in-differences method to examine whether the reform contributed to the growth of farmers’ property income.
Land Use and Landscape Characteristics Are Associated with Core Forest Patches in Ghana
Land uses and terrain characteristics would likely influence the types and spatial arrangements of forest patches, and generally, forest fragmentation. Whereas prior research has focused mainly on direct land use-induced forest fragmentation, this study models the relationship between the spatial distribution of core forest patches, land uses, and terrain variables.
Socioeconomic Effects of Good Governance Practices in Urban Land Management: The Case of Lega Tafo Lega Dadi and Gelan Towns
This study’s objective is to assess the socioeconomic effects of good governance practices in urban land management in two particular Ethiopian towns. Both qualitative and quantitative research methods were employed to achieve this objective. Questionnaires, interviews, and focus group discussions were used to collect data, and the collected data were analyzed descriptively. According to the study’s findings, the poor were hit particularly hard by weak governance in urban land management, since they could not afford to bribe authorities to acquire services or legal protection.
Scrutinizing Urbanization in Kathmandu Using Google Earth Engine Together with Proximity-Based Scenario Modelling
‘Urbanization’ refers to the expansion of built-up areas caused by several factors. This study focuses on the urbanization process in Kathmandu, the capital of Nepal. Supervised classification was conducted in Google Earth Engine by using Landsat data for years 2001, 2011 and 2021. The random forest classifier with 250 trees was used for classification to generate land-cover map. A land-cover map of 2021 was used as base map in the InVEST tool for scenario modelling.