Abstract
The great North Korean famine, known as the “Arduous March,” occurred in the mid-1990s. Many researchers agree that land degradation or declining land productivity represented a critical factor in triggering the famine. In North Korea, land degradation constitutes an issue that is difficult to evaluate given the complex relationship between social and ecological causes and lack of available information. In order to reflect this complexity and uncertainty, an agent-based modeling approach can be used. This study aims to develop an agent-based model to present the process and relationship between land degradation and food shortage in North Korea. The model replicates the social-ecological system of a hypothetical farm that represents collective farms in North Korea. The model consists of three parts: the human agent, environmental system, and policy and external factors. The agent is defined as a household, 400 of whom represent a collective farm in North Korea. If these agents experience an event, such as a food shortage, they will alter their land-use and labor strategy. The environmental system is defined as a 250 × 250 multi-layered grid, and the size of each grid is 100 m2 to reflect the size of a collective farm. The policy and external factors are comprised of three scenarios that reflect a land-use restriction policy, foreign relationship (food aid), and climate change. The simulation result indicates that the food crisis in the model would occur about 35 years after 1960 when the “Arduous March” occurred in the real world. The results of this study show the threshold and emergence point, corresponding with the vulnerability to land degradation and food shortage.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the Conference of the Computational Social Science Society of the Americas, CSSSA 2018 |
| Editors | Ted Carmichael, Zining Yang |
| Publisher | Springer |
| Pages | 83-99 |
| Number of pages | 17 |
| ISBN (Print) | 9783030359010 |
| DOIs | |
| State | Published - 2020 |
| Event | Annual Conference of the Computational Social Science Society of the Americas, CSSSA 2018 - Santa Fe, Mexico Duration: 25 Oct 2018 → 28 Oct 2018 |
Publication series
| Name | Springer Proceedings in Complexity |
|---|---|
| ISSN (Print) | 2213-8684 |
| ISSN (Electronic) | 2213-8692 |
Conference
| Conference | Annual Conference of the Computational Social Science Society of the Americas, CSSSA 2018 |
|---|---|
| Country/Territory | Mexico |
| City | Santa Fe |
| Period | 25/10/18 → 28/10/18 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
-
SDG 13 Climate Action
-
SDG 15 Life on Land
Keywords
- Agent-based model
- Cooperative farm
- Land degradation
- Land-use and cover change (LUCC)
- NetLogo
- North Korean famine
- Soil quality
Fingerprint
Dive into the research topics of 'An Agent-Based Model for Simulating Land Degradation and Food Shortage in North Korea'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver