Rahmawati, Nur and Yogatama, Candra and Winahyu, Wulansari and Kasim, Anisah (2023) Production risk analysis for organic cabbage farming in Semarang district, Central Java. In: 4th International Conference on Agribusiness and Rural Development, IConARD 2023, 9 August 2023through 10 August 2023, Virtual, Online.
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Production risk analysis for organic cabbage farming in Semarang district, Central Java.pdf Restricted to Repository staff only Download (1MB) |
Abstract
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.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Uncontrolled Keywords: | Organic Farming, Alternative agriculture, Agricultural science |
| Divisions: | Centre For Language Learning |
| Depositing User: | Maizatul Najwa Ahmad |
| Date Deposited: | 16 Oct 2024 15:56 |
| Last Modified: | 16 Oct 2024 15:56 |
| URI: | http://eprints.utem.edu.my/id/eprint/27973 |
| Statistic Details: | View Download Statistic |
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