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				<publisherName>Zibeline International Publishing</publisherName>
				<publisherLoc>Malaysia,China,Pakistan,UAE</publisherLoc>
			</publisherInfo>
			
			<doi origin="zibelinepublishing" registered="yes">10.26480/mjsa.01.2026.13.20</doi>
			
			<issn type="online">2521-294X</issn>
			<issn type="print">2521-2931</issn>
			
			<titleGroup>
				<title type="subject" xml:lang="en" sort="Malaysian Journal of Sustainable Agriculture">Malaysian Journal of Sustainable Agriculture</title>
				<title type="title">DEVELOPING AND VALIDATING AN INCLUSIVE SUSTAINABILITY METRIC FOR INDEPENDENT SMALLHOLDER OIL PALM CULTIVATION IN MALAYSIA</title>
			</titleGroup>
			
			<copyright ownership="publisher">Copyright © 2017 Zibeline International Publishing</copyright>
			
			<eventGroup>
				<event type="publication_date" date="09-01-2025"/>
			</eventGroup>

			<creators>
				<creator xml:id="AYS" creatorRole="editor">
					<personName>
						<editorNames>Anika Yesmin Sorna</editorNames>
					</personName>
				</creator>
				
				<creator xml:id="ARA" creatorRole="editor">
					<personName>
						<editorNames>Abd Rahman Ahmad</editorNames>
					</personName>
				</creator>
                
                <creator xml:id="NAAS" creatorRole="editor">
					<personName>
						<editorNames>Noor Aslinda Abu Seman</editorNames>
					</personName>
				</creator>
				
				<creator xml:id="UKR" creatorRole="editor">
					<personName>
						<editorNames>Umi Kartini Rashid</editorNames>
					</personName>
				</creator>
				
				<creator xml:id="MZA" creatorRole="editor">
					<personName>
						<editorNames>Muhammad Zakwan Abu@Hussin</editorNames>
					</personName>
				</creator>
				
			</creators>
			<ccal type="Creative Commons Attribution License">This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited</ccal>
			
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		<citation_keywords>
		    <keyword>Cluster Analysis, Metric Development, Oil Palm, Smallholder Farmers, Sustainability Assessment</keyword>
		</citation_keywords>
			
		<citation_pdfformat>
		     <pdf_url>https://myjsustainagri.com/archives/1mjsa2026/1mjsa2026-13-20.pdf</pdf_url>
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	         <xml_url>https://myjsustainagri.com/xml/1mjsa2026/1mjsa2026-13-20.xml</xml_url>
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	   <citation_volume>
	       <volume>10</volume>
	   </citation_volume>
	   
	   <citation_issue>
	        <issue>1</issue>
	   </citation_issue>
	   
	   <citation_pages>
	      <pages>13-20</pages>
	   </citation_pages>  
	   
	   <citation_fulltext_html>
	       <fulltext_html>https://myjsustainagri.com/mjsa-01-2026-13-20/</fulltext_html>
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<abstractGroup>

			<abstract type="main" xml:lang="en">
			<title type="main">Summary</title>
			
					<p>The global initiative for sustainable palm oil has intensified; however, independent smallholders, who  represent a substantial portion of the sector, continue to be marginalised due to the complexities and costs associated with sustainability assessments. Current certification metrics fail to adequately consider their operational contexts and constraints, resulting in significant deficiencies in inclusive sustainability governance. This research creates and verifies a detailed, multi-faceted sustainability metric specifically designed for independent smallholder oil palm farming in Malaysia, facilitating tiered performance assessment that extends beyond simple certification models. A cross-sectional survey involving 301 independent smallholders in Johor, Malaysia, was conducted. The metric, organised into environmental, social, and economic dimensions, was subjected to thorough psychometric validation, which included item to-total correlation, Cronbach's alpha reliability testing, and Confirmatory Factor Analysis (CFA) to establish construct validity. Cluster analysis revealed the metric's ability to categorise smallholders based on sustainability performance. The validated metric included 32 indicators across three dimensions, exhibiting high internal consistency (Cronbach's α > .85 for all dimensions) and excellent model fit (CFI = .951, TLI = .943, RMSEA = .042, 90% CI [.037, .047]). Cluster analysis revealed three distinct segments: High Performers (28%, n = 84), Moderate Practitioners (52%, n = 157), and Challenged Beginners (20%, n = 60). Significant differences were observed in farm size, certification status, and annual income (p  .001, η² = .34). This validated tool allows policymakers, certification bodies, and extension services to perform detailed sustainability assessments. The findings recommend moving from uniform certification to tiered support systems, which enable targeted interventions for more inclusive and equitable transitions to sustainable palm oil production.</p>
			</abstract>

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