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Climate Change Risks and Climate Adaptation in Agro‐Processing Enterprises.

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Title: Climate Change Risks and Climate Adaptation in Agro‐Processing Enterprises.
Authors: Mazenda, Adrino, Obi, Ajuruchukwu, Kisaka‐Lwayo, Maggie, Antwi, Michael
Source: Climate Resilience & Sustainability; Jun2026, Vol. 5 Issue 1, p1-12, 12p
Subject Terms: Climate change adaptation, Agricultural industries, Climate change, Sociodemographic factors, Psychological resilience, South Africans, Occupational training, Statistics
Geographic Terms: Gauteng (South Africa), South Africa
Abstract: While climate change research has focused mainly on primary agriculture, evidence shows that Agro‐processing enterprises also face climate risks affecting resource availability and use. Using Partial Least Squares‐Structural Equation Modelling (PLS‐SEM), this study analysed how socio‐demographic factors (sex, age, marital status, education, and training) influence participation in agro‐enterprises and climate adaptation strategies among 113 agro‐processing enterprises in Gauteng, South Africa. Results show that direct participation in Agro‐processing does not significantly predict adaptation (β = 0.025), indicating profit‐driven rather than resilience‐oriented engagement. Education significantly enhances participation in Agro‐processing (β = 0.325, 95% CI = [0.196, 0.457]) and adaptation (β = 0.325, 95% CI = [0.168, 0.477]), with a positive indirect effect (β = 0.106, 95% CI = [0.049, 0.173]). Sex negatively predicts participation (β = –0.181), showing higher female involvement, while other variables were insignificant. Policy interventions should integrate climate education, targeted training, and capacity‐building initiatives to strengthen resilience among Agro‐processing enterprises. [ABSTRACT FROM AUTHOR]
Copyright of Climate Resilience & Sustainability is the property of Wiley-Blackwell 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.)
Database: Complementary Index
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DbLabel: Complementary Index
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Items – Name: Title
  Label: Title
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  Data: Climate Change Risks and Climate Adaptation in Agro‐Processing Enterprises.
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  Data: <searchLink fieldCode="AR" term="%22Mazenda%2C+Adrino%22">Mazenda, Adrino</searchLink><br /><searchLink fieldCode="AR" term="%22Obi%2C+Ajuruchukwu%22">Obi, Ajuruchukwu</searchLink><br /><searchLink fieldCode="AR" term="%22Kisaka‐Lwayo%2C+Maggie%22">Kisaka‐Lwayo, Maggie</searchLink><br /><searchLink fieldCode="AR" term="%22Antwi%2C+Michael%22">Antwi, Michael</searchLink>
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  Data: Climate Resilience & Sustainability; Jun2026, Vol. 5 Issue 1, p1-12, 12p
– Name: Subject
  Label: Subject Terms
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Climate+change+adaptation%22">Climate change adaptation</searchLink><br /><searchLink fieldCode="DE" term="%22Agricultural+industries%22">Agricultural industries</searchLink><br /><searchLink fieldCode="DE" term="%22Climate+change%22">Climate change</searchLink><br /><searchLink fieldCode="DE" term="%22Sociodemographic+factors%22">Sociodemographic factors</searchLink><br /><searchLink fieldCode="DE" term="%22Psychological+resilience%22">Psychological resilience</searchLink><br /><searchLink fieldCode="DE" term="%22South+Africans%22">South Africans</searchLink><br /><searchLink fieldCode="DE" term="%22Occupational+training%22">Occupational training</searchLink><br /><searchLink fieldCode="DE" term="%22Statistics%22">Statistics</searchLink>
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  Label: Geographic Terms
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  Data: <searchLink fieldCode="DE" term="%22Gauteng+%28South+Africa%29%22">Gauteng (South Africa)</searchLink><br /><searchLink fieldCode="DE" term="%22South+Africa%22">South Africa</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: While climate change research has focused mainly on primary agriculture, evidence shows that Agro‐processing enterprises also face climate risks affecting resource availability and use. Using Partial Least Squares‐Structural Equation Modelling (PLS‐SEM), this study analysed how socio‐demographic factors (sex, age, marital status, education, and training) influence participation in agro‐enterprises and climate adaptation strategies among 113 agro‐processing enterprises in Gauteng, South Africa. Results show that direct participation in Agro‐processing does not significantly predict adaptation (β = 0.025), indicating profit‐driven rather than resilience‐oriented engagement. Education significantly enhances participation in Agro‐processing (β = 0.325, 95% CI = [0.196, 0.457]) and adaptation (β = 0.325, 95% CI = [0.168, 0.477]), with a positive indirect effect (β = 0.106, 95% CI = [0.049, 0.173]). Sex negatively predicts participation (β = –0.181), showing higher female involvement, while other variables were insignificant. Policy interventions should integrate climate education, targeted training, and capacity‐building initiatives to strengthen resilience among Agro‐processing enterprises. [ABSTRACT FROM AUTHOR]
– Name: Abstract
  Label:
  Group: Ab
  Data: <i>Copyright of Climate Resilience & Sustainability is the property of Wiley-Blackwell 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://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edb&AN=194014729
RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1002/cli2.70030
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 12
        StartPage: 1
    Subjects:
      – SubjectFull: Gauteng (South Africa)
        Type: general
      – SubjectFull: South Africa
        Type: general
      – SubjectFull: Climate change adaptation
        Type: general
      – SubjectFull: Agricultural industries
        Type: general
      – SubjectFull: Climate change
        Type: general
      – SubjectFull: Sociodemographic factors
        Type: general
      – SubjectFull: Psychological resilience
        Type: general
      – SubjectFull: South Africans
        Type: general
      – SubjectFull: Occupational training
        Type: general
      – SubjectFull: Statistics
        Type: general
    Titles:
      – TitleFull: Climate Change Risks and Climate Adaptation in Agro‐Processing Enterprises.
        Type: main
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            NameFull: Mazenda, Adrino
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            NameFull: Obi, Ajuruchukwu
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            NameFull: Kisaka‐Lwayo, Maggie
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            – D: 01
              M: 06
              Text: Jun2026
              Type: published
              Y: 2026
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