使用 Python 年金模型确定小农油棕种植园重植成本的分析

Rayyan Al Muddatstsir Fasa, H. Napitupulu, Sukono Sukono
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摘要

棕榈油补种是提高老化油棕榈树生产力的必要活动。然而,与重新种植相关的高昂成本往往会给农民造成经济负担。为解决这一问题,本研究建议在小农的油棕种植园仍有生产力时,对其实施缴费或征税制度,以减轻重新种植的经济负担。采用的研究方法包括文献综述和通过对小农户的调查收集原始数据,然后对数据进行处理,创建数学模型,并使用 Python 编程语言进行模拟。本研究的成果包括为补种费用的征收和分配建立了一个数学模型,并对拟议的系统进行了模拟。该模型可帮助小农为补种成本做好准备,提高棕榈油生产的可持续性,并最终提高生产率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analysis of Determining The Cost of Replanting for Smallholder Oil Palm Plantations Using Annuities Model with Python
Palm oil replanting is a necessary activity to enhance the productivity of aging oil palm trees. However, the high costs associated with replanting often create a financial burden for farmers. To address this issue, the study proposes the implementation of a contribution or levy system for smallholder farmers while their oil palm plantations are still productive, which would alleviate the financial burden of replanting. The research methodology employed includes a literature review and primary data collection through a survey of smallholder farmers, with the data being processed to create a mathematical model and simulated using the Python programming language. The results of this study include the development of a mathematical model for the levy and distribution of replanting costs, along with a simulation of the proposed system. This model could help smallholder farmers prepare for replanting costs, enhance the sustainability of palm oil production, and ultimately increase productivity.
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