利用数据包络分析法衡量农民生产者组织的绩效

Krishna Muniyoor, Rajan Pandey
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引用次数: 0

摘要

目的 农民生产者组织(FPOs)在农业供应链系统中发挥着最关键的作用,其目的是纠正农产品耕作和销售活动之间的平衡。本研究的目的是利用数据包络分析法(通常称为 DEA)对拉贾斯坦邦选取的 34 个 FPO 单位进行绩效评估。 设计/方法/途径 应用 DEA 是考察企业绩效最常用的技术之一。应用 DEA 需要选择投入和产出。本研究根据实地调查得出的结论,选择了三项输入和三项输出。输入变量包括总资产、实收资本和经济活动数量,而三个输出变量则是营业额、净利润和受益成员数量。从广义上讲,这些变量概括了企业单位的经营业绩。 有趣的是,只有一家 FPO 的相对效率(RE)达到了 1,而其余的 FPO 都低于效率前沿。然而,在以产出为导向的 CCR 方法中,有 15 个 FPO 的相对效率得分为 1。考虑到在以投入和产出为导向的 BCC(Banker、Charnes 和 Cooper)模型中获得的估计值,本研究发现,约有 20% 的 FPO 的效率得分大于 0.80。此外,有三个 FPO 处于前沿线上。在以投入为导向的模型中,45% 的 FPO 的规模效率得分大于 0.80,而在以产出为导向的模型中,几乎所有 FPO 的规模效率得分都大于 0.80。总体而言,研究结果表明,FPO 应更加重视投入的有效利用,以提高整体业务绩效和生产率。 研究局限性/意义 本研究的结果提供了决定 FPO 业绩效率的具体投入和产出的重要见解,并确定了改善现有低效率 FPO 的潜在领域。 原创性/价值 本研究从三个不同方面为现有的实证研究库做出了贡献。首先,作者几乎没有发现任何使用 DEA 技术对 FPO 的经营绩效进行定量评估的研究。其次,在以投入和产出为导向的模型中,努力识别与每个投入和产出变量相关的松弛,为效率低下的 FPO 提供了可改进的领域。第三,作者通过强调拉贾斯坦邦的 FPO 所面临的主要挑战,试图揭开经验主义的神秘面纱。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Measuring performance of farmer producer organisations using data envelopment analysis
Purpose Farmers producer organisations (FPOs) play the most crucial role in the agriculture supply chain system, aiming to redress the balance between farming and marketing activities of agricultural produce. The purpose of this study is to assess the performance of FPOs using data envelopment analysis (usually referred to as DEA) on 34 FPO units selected from the state of Rajasthan. Design/methodology/approach One of the most commonly used techniques to examine business performance is the application of DEA. The application of DEA requires the selection of inputs and outputs. This study takes three inputs and three outputs based on the insights drawn from the field survey. While the input variables consist of total assets, paid-up capital and the number of economic activities, the three output variables are turnover, net profit and number of members benefitted. Broadly, these variables encapsulate the operational performance of the business units. Findings This study’s findings reveal that the estimated relative efficiency score of the input-oriented CCR (Charnes, Cooper, and Rhodes) model ranges from 0.06 to 1. Interestingly, only one FPO has reported a relative efficiency (RE) score of one, whereas the remaining FPOs fall below the efficiency frontier. However, 15 FPOs report an RE score of one in the output-oriented CCR approach. Considering the estimates obtained in the input- and output-oriented BCC (Banker, Charnes and Cooper) models, this study found that about 20% of the FPOs report an efficiency score greater than 0.80. Moreover, three FPOs are on the frontier line. An examination of the scale efficiency score in the input-oriented model, 45% of the FPOs have an efficiency score greater than 0.80, whereas almost all FPOs achieve a scale efficiency score greater than 0.80 in the output-oriented model. Overall, the results imply that the FPOs should place greater emphasis on the efficient utilisation of the inputs to enhance the overall business performance and productivity. Research limitations/implications The findings of this study provide vital insights into the specific inputs and outputs that determine the performance efficiency of FPOs and identify the potential areas for improving the existing inefficient FPOs. Originality/value This study contributes to the repository of the existing empirical studies in three distinct ways. First, the authors hardly found any previous studies that quantitatively assess the business performance of FPOs using the DEA technique. Second, the effort to identify the slacks associated with each input and output variable in input- and output-oriented models gives insights on improvable areas for inefficient FPOs. Third, the authors attempt to demystify the empirical obfuscations by highlighting the major challenges FPOs face in the state of Rajasthan.
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