Issue |
E3S Web of Conf.
Volume 444, 2023
4th International Conference on Agribusiness and Rural Development (IConARD 2023)
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Article Number | 02053 | |
Number of page(s) | 8 | |
Section | Agricultural Economic and Business | |
DOI | https://doi.org/10.1051/e3sconf/202344402053 | |
Published online | 14 November 2023 |
Production Risk Analysis for Organic Cabbage Farming in Semarang District, Central Java
1 Department of Agribusiness, Universitas Muhammadiyah Yogyakarta, Indonesia 55183
2 Department of Agribusiness, Universitas Papua Manukwari, Indonesia 98314
3 Universiti Teknikal Malaysia Melaka, Jalan Hang Tuah Jaya, 76100 Durian Tunggal, Melaka, Malaysia
* Corresponding author: rahma_wati_mf@umy.ac.id
There is some risk and uncertainty involved with purchasing organic cabbage. Farming is highly susceptible to natural phenomena such as high rainfall and pest infestations. It will have consequences for the development of the harvested area, and fluctuations in production can indicate a risk to agricultural production. This study aims to determine the factors that influence organic cabbage production and to determine the factors that affect the risk of organic cabbage production in Getasan District. The Semarang Regency, where this study was conducted, is the largest cabbage market. A total of 73 farmers were selected using a census-based sample from four INOFICE-certified organic farmer groups: Batur Village, Wates Village, Tajuk Village, and Kopeng Village. The analysis method utilized the Just and Pope production risk function and the Cobb-Douglass type production function. The Cobb-Douglass production function analysis revealed that land area, seeds, manure, and cropping patterns all positively and substantially affected organic cabbage production, but only to a limited extent. According to the Just and Pope production risk function, the risk associated with farming organic cabbage could be mitigated by increasing land area and diversity in cropping patterns.
© 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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