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Analysis and Forecasting the Agriculture Production Sector in Rwanda

机译:卢旺达农业生产业分析及预测

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Agriculture production is a crucial economic growth sector, especially for developing countries like Rwanda. Resulted from investments boosting in several areas, Rwanda experienced stable economic growth, where agriculture provides a vital contribution and significant Policies adopted for agriculture improvement. However, the sector's future development still unclear as it is manifesting decrement shares over the years in the county's economy and workforce. No research has yet projected the sector's future production to explain the sector's trend, allowing the government and partners to formulate strategies accordingly. This paper analyzes the sector's economic contribution over several years and forecasts its future. The useful combined grey model predicts the sector's production where a nonlinear grey Bernoulli model (NGBM) with an added optimal parameter (NGBM-OP) is used for the prediction after comparison to others. Outcomes in the sample size from 1960 to 2017, confirm the NGBM-OP as the reliable compared with other prediction models then becomes the best for forecast up to 2030. The obtained sector's production forecast, results pointed out the sector's slow production increment in the future. Suggest its improvement based on investment attractions, especially the young generation through financial facilitation, farmer's training, and opportunity awareness.
机译:农业生产是一个至关重要的经济增长部门,特别是对于卢旺达等发展中国家。由于卢旺达经历了稳定的经济增长,农业提供了稳定的经济增长,为农业提供了重要贡献和巨大的政策,从而达到了几个地区。然而,该部门的未来发展尚不清楚,由于该县经济和劳动力多年来,这一份额持续股份。没有研究尚未将该部门的未来生产预计解释该部门的趋势,允许政府和合作伙伴相应地制定战略。本文分析了该部门多年来的经济贡献,并预测了其未来。有用的组合灰色模型预测扇区的生产在与其他人比较之后使用添加最佳参数(NGBM-OP)的非线性灰色Bernoulli模型(NGBM)的生产。从1960年到2017年的样本大小的结果,确认NGBM-OP与其他预测模型相比可靠,然后成为预测的最佳预测,最多可达2030年。获得的部门的生产预测,结果指出了未来的产业慢的生产增量。建议基于投资景点的改善,特别是通过金融便利化,农民的培训和机会意识的年轻一代。

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