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Measuring Efficiency of Rice Growing Farmers Using Data Envelopment Analysis

机译:利用数据包络分析测量稻米生长农民的效率

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Self-sufficiency in rice production has been the main issue in Malaysia agriculture. It is significantly low and does not comply with the current average rice yield of 3.7 tons per ha per season. One of the best options and the most effective way to improve rice productivity is through more efficient utilization of paddy farmers. Getting farmers to grow rice is indeed a challenge when they could very well be making better money doing something else. This paper attempts to study the efficiency of rice growing farmers in Kubang Pasu using Data Envelopment Analysis model. For comparative analysis, three scenarios are considered in this study in measuring efficiency of rice growing farmers. The first scenario considers only fertilizer factor as an input while for the second, the land size is added as another factor. The third scenario considers more details about the inputs such as the type of fertilizer, NPK and mixed and also land tenureship and size. In all scenarios, the outputs are rice yield (tons) and the profit (RM). As expected, the findings show that the third scenario establishes the highest number of efficient rice growing farmers. It reveals that the combination of outputs and inputs chosen has significant contribution in measuring efficiency of rice growing farmers.
机译:大米生产的自给自足是马来西亚农业的主要问题。它显着低,并且不符合每季每季度每人3.7吨的平均水稻产量。提高水稻生产力的最佳选择和最有效的方法是通过更有效地利用水稻农民。让农民种植米饭确实是一个挑战,当他们很好地做得更好地做别的东西时。本文试图利用数据包络分析模型研究施南帕斯苏稻米生长农民的效率。对于比较分析,在这项研究中考虑了三种情况,以测量水稻种植农民的效率。第一场景仅考虑肥料因子作为输入,而第二种情况是另一个因素添加的土地大小。第三个方案考虑了有关肥料,NPK和混合类型等输入的更多细节,也是土地托管和尺寸。在所有场景中,产出为稻米产量(吨)和利润(RM)。正如预期的那样,调查结果表明,第三种情况建立了最高数量的高效水稻生长农民。它揭示了所选择的产出和投入的组合具有显着贡献米生长农民的效率。

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