2020
DOI: 10.9734/cjast/2020/v39i2030848
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Livelihood Security Determinants of the Organic Farm Household in Sikkim, India: Ordered Logistic Regression Approach

Abstract: Aims: The study employed ordered logistic regression to assess the determinants of livelihood security of the organic farm households in Sikkim (India). Place and Duration of Study: The study was conducted in three blocks of East Sikkim district (viz. Martam, Nangdok and Ranka) between January and December 2019. Methodology: Multistage sampling technique was adopted for the study. Three blocks were selected and from each block 2 villages were selected at random. At the last stage 150 respondents we… Show more

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Cited by 4 publications
(2 citation statements)
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“…An ordinal logistic regression model determines the association among variables of interest. It is an extension of standard logistic regression [5]. An ordinal regression model assumes that a dependent variable has categories which have a meaningful sequential order [6].…”
Section: Methods Of Data Analysismentioning
confidence: 99%
“…An ordinal logistic regression model determines the association among variables of interest. It is an extension of standard logistic regression [5]. An ordinal regression model assumes that a dependent variable has categories which have a meaningful sequential order [6].…”
Section: Methods Of Data Analysismentioning
confidence: 99%
“…Farmers not only face environmental challenges which affect the overall yielding capacity but also several other challenges that accompany them. In the short run, land degradation leads to productivity loss and inadequacy of staple and cash crops, leaving farmers vulnerable directly or indirectly affects agricultural production, food security and livelihood in long run [12,20]. Therefore, pro-mountain policies to build the resilience of mountain environments and indigenous communities are proving vital in recent times by bringing together different stakeholders and fostering partnerships with a multisectoral and holistic approach [1].…”
Section: Introductionmentioning
confidence: 99%