Land Suitability and Insurance Premiums: A GIS-based Multicriteria Analysis Approach for Sustainable Rice Production
The purpose of this research is to develop a land suitability model for rice production based on suitability levels and to propose insurance premiums to obtain maximum returns based on the harvest index and subsidy dependence factor for the marginal and moderately suitable lands in the northern part...
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doaj-61118695b78042fcb4ba25904721dee72020-11-24T23:16:16ZengMDPI AGSustainability2071-10502018-05-01106175910.3390/su10061759su10061759Land Suitability and Insurance Premiums: A GIS-based Multicriteria Analysis Approach for Sustainable Rice ProductionMd Monjurul Islam0Tofael Ahamed1Ryozo Noguchi2Graduate School of Life and Environmental Sciences, University of Tsukuba, Tsukuba 305-8572, JapanFaculty of Life and Environmental Sciences, University of Tsukuba, Tsukuba 305-8572, JapanFaculty of Life and Environmental Sciences, University of Tsukuba, Tsukuba 305-8572, JapanThe purpose of this research is to develop a land suitability model for rice production based on suitability levels and to propose insurance premiums to obtain maximum returns based on the harvest index and subsidy dependence factor for the marginal and moderately suitable lands in the northern part of Bangladesh. A multicriteria analysis was undertaken and a rice land suitability map was developed using geographical information system and analytical hierarchy process. The analysis identified that 22.74% of the area was highly suitable, while 14.86% was marginally suitable, and 28.54% was moderately suitable for rice production. However, 32.67% of the area, which was occupied by water bodies, rivers, forests, and settlements, is permanently not suitable; 1.19% is presently not suitable. To motivate low-quality land owners to produce rice, there is no alternative but to provide protection through crop insurance. We suggest producing rice up to marginally suitable lands to obtain support from insurance. The minimum coverage is marginal coverage (70%) to cover the production costs, while the maximum coverage is high coverage (90%) to enable a maximum return. This new crop insurance model, based on land suitability can be a rational support for owners of different quality land to increase production.http://www.mdpi.com/2071-1050/10/6/1759land suitabilityagricultural crop insuranceAHP and GIS |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Md Monjurul Islam Tofael Ahamed Ryozo Noguchi |
spellingShingle |
Md Monjurul Islam Tofael Ahamed Ryozo Noguchi Land Suitability and Insurance Premiums: A GIS-based Multicriteria Analysis Approach for Sustainable Rice Production Sustainability land suitability agricultural crop insurance AHP and GIS |
author_facet |
Md Monjurul Islam Tofael Ahamed Ryozo Noguchi |
author_sort |
Md Monjurul Islam |
title |
Land Suitability and Insurance Premiums: A GIS-based Multicriteria Analysis Approach for Sustainable Rice Production |
title_short |
Land Suitability and Insurance Premiums: A GIS-based Multicriteria Analysis Approach for Sustainable Rice Production |
title_full |
Land Suitability and Insurance Premiums: A GIS-based Multicriteria Analysis Approach for Sustainable Rice Production |
title_fullStr |
Land Suitability and Insurance Premiums: A GIS-based Multicriteria Analysis Approach for Sustainable Rice Production |
title_full_unstemmed |
Land Suitability and Insurance Premiums: A GIS-based Multicriteria Analysis Approach for Sustainable Rice Production |
title_sort |
land suitability and insurance premiums: a gis-based multicriteria analysis approach for sustainable rice production |
publisher |
MDPI AG |
series |
Sustainability |
issn |
2071-1050 |
publishDate |
2018-05-01 |
description |
The purpose of this research is to develop a land suitability model for rice production based on suitability levels and to propose insurance premiums to obtain maximum returns based on the harvest index and subsidy dependence factor for the marginal and moderately suitable lands in the northern part of Bangladesh. A multicriteria analysis was undertaken and a rice land suitability map was developed using geographical information system and analytical hierarchy process. The analysis identified that 22.74% of the area was highly suitable, while 14.86% was marginally suitable, and 28.54% was moderately suitable for rice production. However, 32.67% of the area, which was occupied by water bodies, rivers, forests, and settlements, is permanently not suitable; 1.19% is presently not suitable. To motivate low-quality land owners to produce rice, there is no alternative but to provide protection through crop insurance. We suggest producing rice up to marginally suitable lands to obtain support from insurance. The minimum coverage is marginal coverage (70%) to cover the production costs, while the maximum coverage is high coverage (90%) to enable a maximum return. This new crop insurance model, based on land suitability can be a rational support for owners of different quality land to increase production. |
topic |
land suitability agricultural crop insurance AHP and GIS |
url |
http://www.mdpi.com/2071-1050/10/6/1759 |
work_keys_str_mv |
AT mdmonjurulislam landsuitabilityandinsurancepremiumsagisbasedmulticriteriaanalysisapproachforsustainablericeproduction AT tofaelahamed landsuitabilityandinsurancepremiumsagisbasedmulticriteriaanalysisapproachforsustainablericeproduction AT ryozonoguchi landsuitabilityandinsurancepremiumsagisbasedmulticriteriaanalysisapproachforsustainablericeproduction |
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1725587982569701376 |