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Showing 2 results for Logistic Model

Javad Bazrafshan, Mehrshad Toulabi Nejad, Najmeh Hamli,
Volume 18, Issue 49 (5-2018)
Abstract

This study explored the factors and drivers of livelihood pattern change in rural households through sustainable livelihoods Approach. The study was considered applicable and used a descriptive-analytic method. To collect the data, questionnaire and interview instruments were utilized. The statistical population was Minan rural households in Sarbaz border province (N=4544). Using Cochran’s sampling technique, 354 households were selected as the participants of the study. One sample t-test, chi-square, and logistic model were used for data analysis. Findings revealed that out of 354 respondents, 72.88 % believed their livelihood pattern had changed and 27.12% supposed no change. 15 out of 45 variables under study were considerably effective and had significant relationships with livelihood variable. Economical (0.400), personal (0.360), and geographical isolation (0.312) factors played major roles in this regard. Moreover, it indicated that out of 354 respondents, 39.8% assumed that they had chosen fuel smuggling, 25.4 % goods trading,  and 22.9 % service works as a reaction to this livelihood change for the living. Thus, it can be argued that integrated rural livelihood and accessible proper foundations for subsistence outside the farms (such as rural industries) can diversify living and prevent both livelihood change and use of illicit and hazardous activities, for instance, fuel and goods smuggling.
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Zahra Tarasi, Hosin Karimzadeh, Mohsen Aghayari Hir,
Volume 19, Issue 54 (12-2019)
Abstract

While women account for about half the population of rural areas, they have always been considered as vulnerable populations of the community. Considering empowerment and its effective factors can increase their participation in livelihoods and increase their ability to help increase their family income. Therefore, the aim of this study was to investigate the factors and drivers that affect the empowerment of rural women. The present research is a descriptive-analytical one. The data gathering tool was a questionnaire and interviewed with rural women in Zanjan. The statistical population includes rural women in Zanjan city (N = 43559). Using Cochran's formula and quotient sampling, 381 women over 20 years old were selected as samples. Data were analyzed using one-sample t-test and binary logistic regression tests. The results showed that among the 29 variables in the study, 14 variables significantly had a significant relationship with the empowerment of rural women in Zanjan. Accordingly, economic factors (0.1171), psychological (0.197) and personal factors (109.10) had the most effects on empowerment of rural women (dependent variable). The results of this study can be used to identify the factors affecting the empowerment of rural women and removing the barriers related to it in the villages of the region and in general in the villages of the country.

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