In EDS ansehen

Risk state evaluation model for China's food import using G1-LS and variable weight SPA based on bottom-line thinking.

Gespeichert in:
Bibliographische Detailangaben
Titel: Risk state evaluation model for China's food import using G1-LS and variable weight SPA based on bottom-line thinking.
Autoren: Li, Ping, Chang, Zhipeng, Chen, Wenhe
Quelle: Kybernetes; 2024, Vol. 53 Issue 9, p2749-2774, 26p
Schlagwörter: RISK assessment, FOOD supply, FOOD security, IMPORTS, DECISION making
Abstract: Purpose: To maintain the bottom line of food import risk in China, this paper proposes a novel risk state evaluation model based on bottom-line thinking after analyzing the decision-making ideas embedded in the bottom-line thinking method. Design/methodology/approach: First, the order relation analysis method (G1 method) and Laplacian score (LS) are applied to calculate the constant weights of indexes. Then, the worst-case scenario of food import risk can be estimated to strive for the best result, so the penalty state variable weight function is introduced to obtain variable weights of indexes. Finally, the study measures the risk state of China's food import from the overall situation using the set pair analysis (SPA) method and identifies the key factors affecting food import risk. Findings: The risk states of food supply in eight countries are in the state of average potential and partial back potential as a whole. The results indicate that China's food import risks are at medium and upper-medium risk levels in most years, fluctuating slightly from 2010 to 2020. In addition, some factors are diagnosed as the primary control objects for holding the bottom line of food import risk in China, including food output level, food export capacity, bilateral relationship and political risk. Originality/value: This paper proposes a novel risk state evaluation model following bottom-line thinking for food import risk in China. Besides, SPA is first applied to the risk evaluation of food import, expanding the application field of the SPA method. [ABSTRACT FROM AUTHOR]
Copyright of Kybernetes is the property of Emerald Publishing Limited and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Datenbank: Complementary Index
FullText Text:
  Availability: 0
CustomLinks:
  – Url: https://resolver.ebscohost.com/openurl?sid=EBSCO:edb&genre=article&issn=0368492X&ISBN=&volume=53&issue=9&date=20240901&spage=2749&pages=2749-2774&title=Kybernetes&atitle=Risk%20state%20evaluation%20model%20for%20China%27s%20food%20import%20using%20G1-LS%20and%20variable%20weight%20SPA%20based%20on%20bottom-line%20thinking.&aulast=Li%2C%20Ping&id=DOI:10.1108/K-10-2022-1426
    Name: Full Text Finder
    Category: fullText
    Text: Full Text Finder
    Icon: https://imageserver.ebscohost.com/branding/images/FTF.gif
    MouseOverText: Full Text Finder
  – Url: https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=EBSCO&SrcAuth=EBSCO&DestApp=WOS&ServiceName=TransferToWoS&DestLinkType=GeneralSearchSummary&Func=Links&author=Li%20P
    Name: ISI
    Category: fullText
    Text: Nájsť tento článok vo Web of Science
    Icon: https://imagesrvr.epnet.com/ls/20docs.gif
    MouseOverText: Nájsť tento článok vo Web of Science
Header DbId: edb
DbLabel: Complementary Index
An: 179047713
RelevancyScore: 978
AccessLevel: 6
PubType: Periodical
PubTypeId: serialPeriodical
PreciseRelevancyScore: 978.275146484375
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Risk state evaluation model for China's food import using G1-LS and variable weight SPA based on bottom-line thinking.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Li%2C+Ping%22">Li, Ping</searchLink><br /><searchLink fieldCode="AR" term="%22Chang%2C+Zhipeng%22">Chang, Zhipeng</searchLink><br /><searchLink fieldCode="AR" term="%22Chen%2C+Wenhe%22">Chen, Wenhe</searchLink>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: Kybernetes; 2024, Vol. 53 Issue 9, p2749-2774, 26p
– Name: Subject
  Label: Subject Terms
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22RISK+assessment%22">RISK assessment</searchLink><br /><searchLink fieldCode="DE" term="%22FOOD+supply%22">FOOD supply</searchLink><br /><searchLink fieldCode="DE" term="%22FOOD+security%22">FOOD security</searchLink><br /><searchLink fieldCode="DE" term="%22IMPORTS%22">IMPORTS</searchLink><br /><searchLink fieldCode="DE" term="%22DECISION+making%22">DECISION making</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Purpose: To maintain the bottom line of food import risk in China, this paper proposes a novel risk state evaluation model based on bottom-line thinking after analyzing the decision-making ideas embedded in the bottom-line thinking method. Design/methodology/approach: First, the order relation analysis method (G1 method) and Laplacian score (LS) are applied to calculate the constant weights of indexes. Then, the worst-case scenario of food import risk can be estimated to strive for the best result, so the penalty state variable weight function is introduced to obtain variable weights of indexes. Finally, the study measures the risk state of China's food import from the overall situation using the set pair analysis (SPA) method and identifies the key factors affecting food import risk. Findings: The risk states of food supply in eight countries are in the state of average potential and partial back potential as a whole. The results indicate that China's food import risks are at medium and upper-medium risk levels in most years, fluctuating slightly from 2010 to 2020. In addition, some factors are diagnosed as the primary control objects for holding the bottom line of food import risk in China, including food output level, food export capacity, bilateral relationship and political risk. Originality/value: This paper proposes a novel risk state evaluation model following bottom-line thinking for food import risk in China. Besides, SPA is first applied to the risk evaluation of food import, expanding the application field of the SPA method. [ABSTRACT FROM AUTHOR]
– Name: Abstract
  Label:
  Group: Ab
  Data: <i>Copyright of Kybernetes is the property of Emerald Publishing Limited and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://erproxy.cvtisr.sk/sfx/access?url=https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edb&AN=179047713
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1108/K-10-2022-1426
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 26
        StartPage: 2749
    Subjects:
      – SubjectFull: RISK assessment
        Type: general
      – SubjectFull: FOOD supply
        Type: general
      – SubjectFull: FOOD security
        Type: general
      – SubjectFull: IMPORTS
        Type: general
      – SubjectFull: DECISION making
        Type: general
    Titles:
      – TitleFull: Risk state evaluation model for China's food import using G1-LS and variable weight SPA based on bottom-line thinking.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Li, Ping
      – PersonEntity:
          Name:
            NameFull: Chang, Zhipeng
      – PersonEntity:
          Name:
            NameFull: Chen, Wenhe
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 09
              Text: 2024
              Type: published
              Y: 2024
          Identifiers:
            – Type: issn-print
              Value: 0368492X
          Numbering:
            – Type: volume
              Value: 53
            – Type: issue
              Value: 9
          Titles:
            – TitleFull: Kybernetes
              Type: main
ResultId 1