dc.contributor.advisor | Schoeneman, John | |
dc.contributor.author | Adams, Alex | |
dc.date.accessioned | 2023-04-03T20:51:23Z | |
dc.date.available | 2023-04-03T20:51:23Z | |
dc.date.issued | 2022-05 | |
dc.identifier.uri | https://hdl.handle.net/11244/337199 | |
dc.description.abstract | There are over 51,000 non-governmental organizations (NGOs) registered in Nepal, yet the country continually ranks low in various measures of human development. As is the case in many developing countries, NGOs operate with limited oversight and impact evaluations that document their progress are nearly non-existent. This research proposes a method for testing the efficacy and effectiveness of NGO presence in Nepal using the remote sensing technologies and foreign aid tracking provided by the country’s government. By comparing data from validated machine learning methods that measure economic activity with NGO funding, this paper helps identify more accurately the effectiveness of NGO involvement in Nepal and provide a backcheck on its accuracy. The findings indicate that there is no significant relationship between provincial GDP, which acts as a proxy for economic development, and NGO funding. This implies that even though the provinces receive hundreds of millions of dollars each year, NGO and government aid are not the magic bullets for poverty alleviation and economic development. | |
dc.format | application/pdf | |
dc.language | en_US | |
dc.rights | Copyright is held by the author who has granted the Oklahoma State University Library the non-exclusive right to share this material in its institutional repository. Contact Digital Library Services at lib-dls@okstate.edu or 405-744-9161 for the permission policy on the use, reproduction or distribution of this material. | |
dc.title | Too many cooks in the kitchen? A comprehensive comparison of NGO spending and development in Nepal | |
dc.contributor.committeeMember | Brienen, Marten | |
dc.contributor.committeeMember | Fullerton, Jami | |
osu.filename | Adams_okstate_0664M_17632.pdf | |
osu.accesstype | Open Access | |
dc.type.genre | Thesis | |
dc.type.material | Text | |
dc.subject.keywords | deep learning | |
dc.subject.keywords | impact evaluation | |
dc.subject.keywords | Nepal | |
dc.subject.keywords | NGOs | |
dc.subject.keywords | remote sensing | |
thesis.degree.discipline | Global Studies | |
thesis.degree.grantor | Oklahoma State University | |