INCOME DISTRIBUTION OF RED CHILLI FARMER, AT MEREMBU VILLAGE, LABUAPI DISTRICT, WEST LOMBOK REGENCY 2021

Author(s):  
Ida Bagus Eka Artika

Red chili is an agricultural commodity planted by farmers on the sidelines of rice planting as the main agricultural commodity, especially in Merembu Village, Labuapi District, West Lombok Regency. This study aims to determine the level of income distribution of chili farmers in Merembu Village, Labuapi District, West Lombok Regency. The sample respondent as many as 35 red chili farmers in the research area. The analysis technique uses income distribution analysis with three approaches, namely Gini Coefficient approach, Lorenz Curve and World Bank Criteria Approach. The results of the Gini Ratio calculation for the 35 respondents studied, obtained a Gini Index or Gini Coefficient of 0.143, this shows the income inequality of red chili farmers in Merembu Village, Labuapi District in the mild or low category. This statement is reinforced by the Lorenz Curve approach and the World Bank Criteria Approach, namely the results of calculations based on the World Bank approach obtained that 40% of the population with low incomes receive an income of 29.6% or greater than 17% (Low Category) of the total existing income. This indicates that the category of the level of income distribution of chili farmers in Merembu Village, Labuapi District is relatively low

2020 ◽  
Vol 3 (2) ◽  
pp. 99-108
Author(s):  
Subian Saidi ◽  
Ulfah Muharramah ◽  
La Zakaria ◽  
Yomi Mariska ◽  
Triyono Ruby

The Lorenz curve is generally used to find out the inequality of income distribution. Mathematically a standard form of the Lorenz curve can be modified with the aim of simplicity of its symmetric analysis and calculation of the Gini coefficient that usually accompanies it. One way to modify the shape of the Lorenz curve without losing its characteristics but is simple in the analysis of geometric shapes is through a transformation (rotation). To be efficient and effective in computing and analyzing a Lorenz curve it is necessary to consider using computer software. In this article, in addition to describing the development of the concept of using transformations (rotations) of the standard Lorenz curve in an easy-to-do form, the symmetric analysis is also described by computational techniques using Mathematica® software. From the results of the application of the development of the concept of the Lorenz curve which is carried out on a data gives a simpler picture of the computational process with relatively similar computational results.


2015 ◽  
Vol 3 (2) ◽  
Author(s):  
Nur Fajar Febtysiana, Erlinda Yurisinthae, Adi Suyatno

The purpose of the study is (1) To determine the impact of maize cultivation technology to the level of income of corn farmers who use technology ( adopter ) and that do not use ( non- adopters ). (2) To determine the impact of maize cultivation technology on income distribution of farmers who are using technology ( adopter ) and which does not use the ( non- adopters ). Sampling is done by simple random sampling method in each category maisng adopter and non- adopter . The analytical tools used in this research is the analysis of different test t Calculate Income and Income Distribution Analysis by the Gini coefficient based on ( Gini Ratio ) , and Lorenz curve. The results showed that the overall average cash income of farmers are using the technology of cultivation ( adopter ) is greater than the average cash income of farmers who do not use the technology of cultivation ( non- adopters ) . From the statistical result obtained t value less than or equal to t table ( t ≤ t hits the table ) at the db = n1 + n2 – 2. This suggests that the income level of farmers are using the technology of cultivation ( adopter ) did not differ from the level of income of farmers who do not use the technology of cultivation ( non- adopters ) . Criteria based on the Gini coefficient ( Gini Ratio ) , the Lorenz curve and indicates if the distribution of the income of farmers who do not use corn cultivation technology ( non- adopters ) is more evenly distributed than the income of farmers who do not use the technology of cultivation ( non- adopters ) . This suggests that the impact on the use of technology in higher levels of inequality . Keywords : Technology Impact , Income , Income Distribution , Region Agribusiness  integrated


2012 ◽  
Author(s):  
Timothy Mah ◽  
Marelize Gorgens ◽  
Elizabeth Ashbourne ◽  
Cristina Romero ◽  
Nejma Cheikh
Keyword(s):  

2009 ◽  
Author(s):  
Xu Yi-chong ◽  
Patrick Weller
Keyword(s):  

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