Skip to main navigation menu Skip to main content Skip to site footer
Español (España) | English
Editorial
Revistas / Journals
Salud, Ciencia y Tecnología Metaverse Basic and Applied Research Data & Metadata Interdisciplinary Rehabilitation Salud, Ciencia y Tecnología - Serie de Conferencias Community and Interculturality in Dialogue Seminars in Medical Writing and Education Health Leadership and Quality of Life Gamification and Augmented Reality Southern perspective / Perspectiva austral
Home
Issue
Current Issue Previous Issues Special Issue
About
About the Journal Editorial Team Privacy Statement Digital preservation policy Contact
Submissions
Author Guidelines Peer Review Process Ethical aspects Open Access Policy and Copyright Anti-plagiarism policy Crossmark policy page
Indexing
×
Español (España) | English
Editorial

Salud, Ciencia y Tecnología Metaverse Basic and Applied Research Data & Metadata Interdisciplinary Rehabilitation Salud, Ciencia y Tecnología - Serie de Conferencias Community and Interculturality in Dialogue Seminars in Medical Writing and Education Health Leadership and Quality of Life Gamification and Augmented Reality Southern perspective / Perspectiva austral
Home

Current Issue Previous Issues Special Issue

About the Journal Editorial Team Privacy Statement Digital preservation policy Contact

Author Guidelines Peer Review Process Ethical aspects Open Access Policy and Copyright Anti-plagiarism policy Crossmark policy page
Indexing
Original
Published: 2024-01-14
DOI: https://doi.org/10.56294/dm2023204

Utilizing Topic Modelling and AHP (Analytical Hierarchy Process) for Setting Policy Priorities to Strengthen Official Development Assistance at Local Government Level

By
Young-Chool Choi ,
Young-Chool Choi

Professor, Department of Public Administration. Chungbuk National University, Cheongju, Korea.

Search this author on:

PubMed | Google Scholar
Kim, Gamin ,
Kim, Gamin

KOICA YP(Young Professional). Department of Management Information Systems, Chungbuk National University, Cheongju, Korea.

Search this author on:

PubMed | Google Scholar
Jeon, Yunseo ,
Jeon, Yunseo

KOICA YP(Young Professional). Department of Sociology, Chungbuk National University Cheongju, Korea.

Search this author on:

PubMed | Google Scholar
Cavallini, Yona ,
Cavallini, Yona

KOICA YP(Young Professional). Department of Politics and International Studies, Sun Moon University, Cheonan, Korea.

Search this author on:

PubMed | Google Scholar

Abstract

In Korea, aid projects to developing countries at central government level are increasing in number significantly every year, yet at local government level their scale is extremely small. Recognizing this problem, this study aims to set policy priorities to strengthen official development assistance (ODA) at local government level in Korea. Accordingly, we analysed the important issues relating to ODA projects at local government level by performing topic modelling analysis method. On the basis of these analysis results, policy priorities were derived using the AHP method. The analysis suggests that in Korea, in order to revitalize ODA projects at local government level, a dedicated department that can professionally handle these projects must be established within each local authority. Furthermore, it is important to recruit and deploy professional administrators who can utilize these dedicated departments to discover new ODA projects.

Keywords:

ODA at local government level,
topic modelling analysis,
AHP,

How to Cite

1.
Young-Chool C, Kim G, Jeon Y, Cavallini Y. Utilizing Topic Modelling and AHP (Analytical Hierarchy Process) for Setting Policy Priorities to Strengthen Official Development Assistance at Local Government Level. Data and Metadata [Internet]. 2024 Jan. 14 [cited 2024 Jul. 7];2:204. Available from: https://dm.saludcyt.ar/index.php/dm/article/view/204

Copyright Notice

The article is distributed under the Creative Commons Attribution 4.0 License. Unless otherwise stated, associated published material is distributed under the same licence.

Article metrics

Google scholar: See link

Metrics

Metrics Loading ...

Vol. 2 (2023)
See full issue

The statements, opinions and data contained in the journal are solely those of the individual authors and contributors and not of the publisher and the editor(s). We stay neutral with regard to jurisdictional claims in published maps and institutional affiliations.