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Showing 2 results for Lourenz Curve

M. Toodehroosta, J. Mir-Mohammad Sadeghi,
Volume 7, Issue 2 (7-2003)
Abstract

The purpose of this study is to investigate the income distribution among the farmers of two districts of lowland and upland of Savojbolagh township of Tehran Province, Iran. The data of this study were collected by filling out questionnaires through interviews with 350 farmers who were selected by stratified random sampling. For analysis, such techniques as Gini Ratio, comparing the quintiles, and comparing means of different variables were used. The results showed that the income inequalities in the upland district were larger than in lowland. Income mean in the fifth quintile relative to other quintiles was considerably large and this fact was more serious in upland. As in income distribution, similar inequalities were observed in land distribution. The source of income of the farmers included income from agricultural activities (crops, livestock and fruit production) and from nonagricultural activities (second jobs and other incomes). Inequalities in total income in lowland and upland were mainly generated from agricultural sources of income while non-agricultural sources were less important. Inequalities in income from agricultural sources in lowland were related to livestock, fruits, and crops, and in upland to livestock, crops and fruits, respectively.
A. A. Barati,
Volume 10, Issue 2 (7-2006)
Abstract

The purpose of this study was to survey income distribution among the agricultural and non-agricultural rural families in Ghoochan town, Khorasan province. Data was collected by filling out questionnaires, and having interviews with 265 rural families, selected by stratified random sampling. And the obtained data was analysed through Gini ratios, comparison of the quintiles, Lourenz curve and income ratios. The results showed that the income distribution among the non-agricultural families was higher than that among agricultural families. The Gini ratio for agricultural families was 0.57 and for non-agricultural families was 0.45. The lowest Gini ratio was among the families employed for both agricultural and non-agricultural activities (GR=0.38). Therefore, it seems that income inequalities can be improved by making rural families in Ghoochan work in both agricultural and non-agricultural sectors.

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