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Evaluation Of Korea’s Rural Development Oda Projects In Kyrgyzstan Using Neural Network Analysis: Focusing On Local Residents’ Perceptions

Year: 2025

Type: article

Abstract: This study conducted a mid-term evaluation of Korea’s Integrated Rural Development Project (IRDP) implemented in 30 villages of Osh and Batken regions in Kyrgyzstan since 2021, focusing on local residents' perceptions. Particularly, to overcome the limitations of conventional descriptive statistical methods frequently used in previous studies, this research applied neural network analysis to better capture complex and nonlinear relationships among influencing factors. The results indicated that residents generally perceived the Korean rural development ODA project as significantly contributing to local economic development, with the most influential factor being the village-level characteristics. Furthermore, demographic characteristics such as marital status, age, education level, and occupation of residents also had significant effects on their perceived outcomes of the project. This study confirms the usefulness of neural network analysis as an effective method for evaluating ODA project outcomes based on residents’ perceptions and provides meaningful policy implications for enhancing the effectiveness of future Korean rural development ODA projects.

Source: Data & Metadata

DOI: 10.56294/dm2025858

Authors: Choi Young-Chool, Yanghoon Song, Ki Seo Kong, Ahyoung Lee

Institution: Chungbuk National University

Language: English

Topic: International Development and Aid

Subfield: Development

Field: Social Sciences

Domain: Social Sciences

SDG: Partnerships for the goals

Open Access status: diamond

Funders: National Research Foundation, Ministry of Education, National Research Foundation of Korea