Allocating the fixed cost as a complementary input in two-stage system: A DEA approach

Xi Jin, Feng Li, Qiwei Xie, Yongjun Li
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Abstract

The existing research on fixed cost allocation (FCA) in two-stage system data envelopment analysis (DEA) models typically regards the fixed cost as an additional input for each decision-making unit (DMU). However, these models overlook the prevalent real-world scenario where fixed costs act as complementary inputs in actual production processes. This study proposes a general two-stage network DEA model that incorporates the fixed cost as a complementary input to optimize the allocation scheme. First, we construct a functional relationship between the efficiency scores of DMUs and their allocated fixed costsusing a modified super-efficiency DEA model, which effectively classifies DMUs and solves infeasible solutions within the variable returns to scale (VRS) framework. Then, we propose a fair and unique allocation model based on fairness and efficiency maximization principles. Specifically, we allocate fixed costs based on the operational scale for inelastic DMUs while equitably increasing the efficiency scores for elastic DMUs. Finally, a numerical example and an empirical study on subsidy allocation among 30 provinces demonstrate the rationality and acceptability of our approach.
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在两阶段系统中分配作为补充投入的固定成本:DEA 方法
现有关于两阶段系统数据包络分析(DEA)模型中固定成本分配(FCA)的研究通常将固定成本视为每个决策单元(DMU)的额外投入。然而,这些模型忽略了现实世界中普遍存在的情况,即固定成本在实际生产过程中充当补充投入。本研究提出了一种通用的两阶段网络 DEA 模型,该模型将固定成本作为一种补充投入,以优化分配方案。首先,我们利用改进的超效率 DEA 模型构建了 DMU 的效率得分与其分配的固定成本之间的函数关系,从而有效地对 DMU 进行分类,并在可变规模收益(VRS)框架内解决不可行方案。然后,我们根据公平和效率最大化原则,提出了一种公平而独特的分配模式。具体来说,我们根据非弹性 DMU 的运营规模来分配固定成本,同时公平地提高弹性 DMU 的效率分数。最后,一个数字实例和对 30 个省份补贴分配的实证研究证明了我们方法的合理性和可接受性。
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