Social and natural risk factor correlation in China's fresh agricultural product supply
The perishable nature of fresh agricultural products and their vulnerability to environmental impacts make fresh agricultural product supplies susceptible to more complex social risks and unpredictable natural risks. This study identifies 13 social and natural risk factors that could adversely affec...
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Veröffentlicht in: | PloS one 2020-06, Vol.15 (6), p.e0232836-e0232836 |
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description | The perishable nature of fresh agricultural products and their vulnerability to environmental impacts make fresh agricultural product supplies susceptible to more complex social risks and unpredictable natural risks. This study identifies 13 social and natural risk factors that could adversely affect the fresh agricultural product supply and uses ISM and MICMAC to develop a hierarchical structure of the risks to analyze the correlation of these risk factors. The results showed that these risk factors have a strong positive correlation, a reasonable risk-sharing mechanism should be established for the fresh agricultural product supply and the improvement in the supervision error correction system should be strengthened. |
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This study identifies 13 social and natural risk factors that could adversely affect the fresh agricultural product supply and uses ISM and MICMAC to develop a hierarchical structure of the risks to analyze the correlation of these risk factors. The results showed that these risk factors have a strong positive correlation, a reasonable risk-sharing mechanism should be established for the fresh agricultural product supply and the improvement in the supervision error correction system should be strengthened.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0232836</identifier><identifier>PMID: 32484814</identifier><language>eng</language><publisher>San Francisco: Public Library of Science</publisher><subject>Agricultural commodities ; Agricultural industry ; Agricultural pollution ; Agricultural products ; Agriculture ; Backup software ; Biology and Life Sciences ; Climate change ; Correlation ; Correlation analysis ; Drought ; Ecology and Environmental Sciences ; Engineering and Technology ; Environmental impact ; Error correction ; Food supply ; Health risks ; Literature reviews ; Logistics ; Management ; Medical research ; Medicine and Health Sciences ; Methods ; People and Places ; Risk analysis ; Risk factors ; Risk management ; Risk sharing ; Social Sciences ; Structural hierarchy ; Studies</subject><ispartof>PloS one, 2020-06, Vol.15 (6), p.e0232836-e0232836</ispartof><rights>COPYRIGHT 2020 Public Library of Science</rights><rights>2020 Bian et al. 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This study identifies 13 social and natural risk factors that could adversely affect the fresh agricultural product supply and uses ISM and MICMAC to develop a hierarchical structure of the risks to analyze the correlation of these risk factors. 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subjects | Agricultural commodities Agricultural industry Agricultural pollution Agricultural products Agriculture Backup software Biology and Life Sciences Climate change Correlation Correlation analysis Drought Ecology and Environmental Sciences Engineering and Technology Environmental impact Error correction Food supply Health risks Literature reviews Logistics Management Medical research Medicine and Health Sciences Methods People and Places Risk analysis Risk factors Risk management Risk sharing Social Sciences Structural hierarchy Studies |
title | Social and natural risk factor correlation in China's fresh agricultural product supply |
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