Multi-Criteria Decision Analysis for the Land Evaluation of Potential Agricultural Land Use Types in a Hilly Area of Central Vietnam
Ronja Herzberg,
Tung Gia Pham,
Martin Kappas,
Daniel Wyss and
Chau Thi Minh Tran
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Ronja Herzberg: Faculty of Geoscience and Geography, Göttingen University, 37077 Göttingen, Germany
Tung Gia Pham: Cartography, GIS and Remote Sensing Department, Göttingen University, 37077 Göttingen, Germany
Martin Kappas: Cartography, GIS and Remote Sensing Department, Göttingen University, 37077 Göttingen, Germany
Daniel Wyss: Cartography, GIS and Remote Sensing Department, Göttingen University, 37077 Göttingen, Germany
Chau Thi Minh Tran: Faculty of Land Resources and Agricultural Environment, University of Agriculture and Forestry, Hue University, Hue 0234, Vietnam
Land, 2019, vol. 8, issue 6, 1-25
Abstract:
Land evaluation is a process that is aimed at the sustainable development of agricultural production in rural areas, especially in developing countries. Therefore, land evaluation involves many aspects of natural conditions, economic, and social issues. This research was conducted in a hilly region of Central Vietnam to assess the land suitability of potential agricultural land use types that are based on scientific and local knowledge. In the frame of this research, Participatory Rural Appraisal (PRA); Analytical Hierarchy Analysis (AHP); Geographic Information System (GIS); and, scoring based scientific literature and local knowledge were applied for Multi-Criteria Decision Analysis (MCDA) for land use evaluation. The results of the PRA survey reveal that five plants offer great agricultural potential in the research area, namely rice, cassava, acacia, banana, and rubber. The land suitability of each plant type varies, depending on physical conditions as well as economic and social aspects. Acacia and cassava represent the most suitable plant types in the research area. Recommendations regarding agricultural land use planning in the A Luoi district are brought forward based on the land evaluation results. The combination of scientific and local knowledge in land assessment based on GIS technology, AHP, and PRA methods is a promising approach for land evaluation.
Keywords: Land evaluation; GIS; Analytical Hierarchy Analysis (AHP); Participatory Rural Appraisal (PRA); local knowledge (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (15)
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jlands:v:8:y:2019:i:6:p:90-:d:236917
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