Underlying Structure of Job Competency Scale in Climate- Smart Agricultural Extension Service.

Climate change could reduce agricultural productivity in lower latitude communities, thereby threatening the food security and livelihoods of farm families. Climate smart agriculture (CSA) has been identified as an approach that could sustainably enhance productivity and mitigate the exacerbating ef...

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Publicado en:Pertanika Journal of Social Sciences & Humanities Vol. 27; no. T1; pp. 93 - 112
Autores principales: Umar, Sulaiman, Man, Norsida, Nawi, Nolila Mohd, Latif, Ismail Abd., Muktar, Bashir Garba
Formato: Artículo
Publicado: Universiti Putra Malaysia 2019 Supplement
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Acceso en línea:Ver este registro en EBSCOhost
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        atl: Underlying Structure of Job Competency Scale in Climate- Smart Agricultural Extension Service.
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        au:
          Umar, Sulaiman
          Man, Norsida
          Nawi, Nolila Mohd
          Latif, Ismail Abd.
          Muktar, Bashir Garba
        affil:
          Department of Agricultural Technology, Faculty of Agriculture, Universiti Putra Malaysia, 43400 UPM, Serdang, Selangor, Malaysia
          Department of Agricultural Extension and Rural Development, Institute for Agricultural Research, Faculty of Agriculture, Ahmadu Bello University, PMB 1044, Zaria, Nigeria
          Department of Agribusiness and Bioresources Economics, Universiti Putra Malaysia, 43400 UPM, Serdang, Selangor, Malaysia
          Department of Agricultural Economics and Extension, Federal University, Dutse, Nigeria
      su:
        Climate change
        Agricultural productivity
        Agriculture
        Climate change mitigation
        Parallel algorithms
      sug:
        subj:
          Climate change
          Agricultural productivity
          Agriculture
          Climate change mitigation
          Parallel algorithms
      keyword:
        Agricultural extension
        climate-smart agriculture
        competency
        parallel analysis
        principal component analysis
      ab: Climate change could reduce agricultural productivity in lower latitude communities, thereby threatening the food security and livelihoods of farm families. Climate smart agriculture (CSA) has been identified as an approach that could sustainably enhance productivity and mitigate the exacerbating effect of climate change on agriculture. For CSA technologies to be accepted, there is a need for special advisory services delivered by competent extension agents. This study assessed the structure of such competencies among 341 Malaysian extension workers selected randomly. The data obtained from a structured questionnaire was subjected to Varimax rotation of the principal component analysis. The KMO obtained was 0.847 while Bartlett's Test was significant (p < 0.001). Assessment of internal consistency revealed a Cronbach alpha of 0.926. Using Kaiser's criterion, seven components explaining 76.053% variance were extracted. However, parallel analysis streamlined and retained five components. This implied that CSA competency among Malaysian extension workers had a five component structure. This should be taken into consideration when designing trainings to make sure the relevant aspects are covered. It could also be beneficial in climate change adaptation and mitigation programmes.
      pubtype: Academic Journal
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    language: English
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