Issue |
E3S Web of Conf.
Volume 444, 2023
4th International Conference on Agribusiness and Rural Development (IConARD 2023)
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Article Number | 02035 | |
Number of page(s) | 9 | |
Section | Agricultural Economic and Business | |
DOI | https://doi.org/10.1051/e3sconf/202344402035 | |
Published online | 14 November 2023 |
Evaluating Income Distribution of Certified and Non-Certified Coffee Farmers in West Lampung Regency
Dept. of Agricultural Socioeconomics, Faculty of Agriculture, Universitas Gadjah Mada, Yogyakarta, Indonesia
* Corresponding author: asyifa.r.z@mail.ugm.ac.id
Income distribution needs greater attention because an uneven distribution of income can leave farmers in a more vulnerable position to the effects of production risk. Many prior studies have focused on the impact of certification on income levels and limited focus on its effect on income distribution. Therefore, this study aims to compare the income distribution of certified and non-certified coffee farmers in West Lampung Regency, which was purposively chosen due to its status as the largest producer of coffee in Lampung Province. Using convenient sampling, 140 coffee farmers were surveyed, consisting of 70 farmers with and 70 without certifications. The data was analysed using the Gini ratio and World Bank’s version analysis. The findings showed that the income distribution for coffee farming and household income distribution was even by Gini ratio approaches. Similarly, with the World Bank’s version, coffee farming and household income distribution are classed as low inequality. In contrast with coffee farming and household income distribution, income outside of coffee farming distribution was unevenly distributed, showing that side jobs have a negative bias toward income distribution. These results suggest that the benefits provided to certified coffee farmers, such as regular training, contributed to coffee farmers’ income equity.
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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