Establishment Plan for Sustainable Villages through Resolving Mongolian Ger District Issues†
Year: 2025
Type: article
Abstract: In recent years, Mongolia has witnessed a steady influx of migrants into the ger districts on the outskirts of Ulaanbaatar. While some have been displaced by climate change-induced zud and desertification, which have devastated traditional livestock-based livelihoods, a larger share of the migration stems from structural inequalities—namely, the concentration of employment opportunities, education, and essential infrastructure in the capital. This surge in population has intensified urban overcrowding and deepened various environmental and social challenges. The ger districts stand out as areas facing particularly acute challenges such as high unemployment, poverty, air pollution, soil contamination, energy poverty, and a critical lack of educational and healthcare services.This study moves beyond the conventional climate refugee framework by analyzing these broader drivers of migration through structured surveys and in-depth interviews with both ger district residents and the general urban population. Based on the findings, a sustainable village model is proposed for the Salkhit area, integrating agriculture, settled livestock farming, agricultural cooperatives, solar power generation, and tourism infrastructure. These systems are designed to operate autonomously and scale to other regions of Mongolia.By offering both policy and practical guidelines, this model aims to relieve metropolitan congestion and promote balanced regional development. However, due to limitations such as insufficient climatic, geographic, and agricultural baseline data and constraints in technical infrastructure, continuous feedback through test-bed operations and phased revisions are essential to ensure long-term viability and effectiveness.
Source: IGEE proceedings (Online)
Authors: Eun-hye Song, Khuslen Bazarragchaa, Geon-young Kim, Sung-kwon Lee
Institution: Yonsei University
Language: English
Domain: Life Sciences
Open Access status: hybrid
OpenAlex ID: W4411769427