估算三宝垄和班雅内加拉地区罗布斯塔咖啡生产的效益

T. Hasan, Supamoon Paputsara, Sembiring Br Noveliska, G. Adi
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引用次数: 0

摘要

印度尼西亚是世界上最大的咖啡生产国之一,2017年的产量达到654,120吨,其中罗布斯塔咖啡占主导地位。在那个国家,96%的咖啡种植区是由小农种植的。除了提高农民的福利和减少土壤侵蚀之外,咖啡树的种植,特别是那些由小农种植的咖啡树,需要对其供应链的经济方面进行研究,这可以提供对咖啡生产效益的估计。因此,本研究旨在分析咖啡供应链上游活动的经济方面,并通过五年的盈利能力来呈现情景。为了达到研究目的,我们对中爪哇省Banjarnegara地区的小规模咖啡农进行了调查和观察,Banjarnegara地区过去有土壤侵蚀,而三宝垄地区在同一省有大量咖啡种植面积。以收入份额和市场渠道为重点,对农民、采集者和贸易商三方进行数据收集。随后,本文给出了一个具有较高生产力水平的农民代表的效益值计算所构建的咖啡生产场景。我们得出的结论是,罗布斯塔咖啡生产情景的发展进展,当与作物生产系统相结合时,可以显着提高行业准备,效益和生产力。该方案使用成本和效益值,并模拟咖啡树与作物的生长(在Banjarnegara)。咖啡供应链公式的附加结果表明,作物预测为咖啡种植者和行业提供了五年的利润增长的实质性利益。印度尼西亚是世界上最大的咖啡生产国之一,2017年的产量达到654,120吨,其中罗布斯塔咖啡占主导地位。在那个国家,96%的咖啡种植区是由小农种植的。除了提高农民的福利和减少土壤侵蚀之外,咖啡树的种植,特别是那些由小农种植的咖啡树,需要对其供应链的经济方面进行研究,这可以提供对咖啡生产效益的估计。因此,本研究旨在分析咖啡供应链上游活动的经济方面,并通过五年的盈利能力来呈现情景。为了达到研究目的,我们对中爪哇省Banjarnegara地区的小规模咖啡农进行了调查和观察,Banjarnegara地区过去有土壤侵蚀,而三宝垄地区在同一省有大量咖啡种植面积。以收入份额和市场渠道为重点,对农民、采集者和贸易商三方进行数据收集。随后,本文给出了一个具有较高生产力水平的农民代表的效益值计算所构建的咖啡生产场景。我们得出的结论是,罗布斯塔咖啡生产情景的发展进展,当与作物生产系统相结合时,可以显着提高行业准备,效益和生产力。该方案使用成本和效益值,并模拟咖啡树与作物的生长(在Banjarnegara)。咖啡供应链公式的附加结果表明,作物预测为咖啡种植者和行业提供了五年的利润增长的实质性利益。
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Estimating the Benefit of Robusta Coffee Production in Semarang and Banjarnegara
Indonesia is one of the top world coffee producers with a production level reached 654,120 metric tons in 2017, dominated by Robusta. In that country, 96% of coffee plantation area is cultivated by small-scale farmers. Besides improving the welfare of farmers and allowing a soil erosion reduction, the cultivation of the coffee plant, especially those grown by small-scale farmers, requires a study on the economic aspects of its supply chain, which provides an estimation of the coffee production benefits. Therefore, the research aims to analyze the economic aspects of upstream activities in the coffee supply chain and present the scenario through the five years of profitability. To achieve the research aims, surveys and observations were carried out on small-scale coffee farmers in Banjarnegara, a district in Central Java Province with soil erosion in the past, and Semarang, a district in the same province with a high area of coffee plantation. Data collection was carried out on three parties, namely farmers, collectors, and traders, by focusing on the income share and market channel. Later, the scenario of coffee production which is constructed by the benefit value calculation of the representative of a farmer with a high level of productivity was presented in the paper. We conclude that the progress on the development of Robusta coffee production scenario, when integrated with crop production systems can significantly improve industry preparedness, benefit, and productivity. The scenario used cost and benefits values and simulated the growth of the coffee tree with crops (in Banjarnegara). The additional result of coffee supply chain formula’s showed that crop forecasting offers substantial benefits of coffee growers and industry through five years of increased profitability. Indonesia is one of the top world coffee producers with a production level reached 654,120 metric tons in 2017, dominated by Robusta. In that country, 96% of coffee plantation area is cultivated by small-scale farmers. Besides improving the welfare of farmers and allowing a soil erosion reduction, the cultivation of the coffee plant, especially those grown by small-scale farmers, requires a study on the economic aspects of its supply chain, which provides an estimation of the coffee production benefits. Therefore, the research aims to analyze the economic aspects of upstream activities in the coffee supply chain and present the scenario through the five years of profitability. To achieve the research aims, surveys and observations were carried out on small-scale coffee farmers in Banjarnegara, a district in Central Java Province with soil erosion in the past, and Semarang, a district in the same province with a high area of coffee plantation. Data collection was carried out on three parties, namely farmers, collectors, and traders, by focusing on the income share and market channel. Later, the scenario of coffee production which is constructed by the benefit value calculation of the representative of a farmer with a high level of productivity was presented in the paper. We conclude that the progress on the development of Robusta coffee production scenario, when integrated with crop production systems can significantly improve industry preparedness, benefit, and productivity. The scenario used cost and benefits values and simulated the growth of the coffee tree with crops (in Banjarnegara). The additional result of coffee supply chain formula’s showed that crop forecasting offers substantial benefits of coffee growers and industry through five years of increased profitability.
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