马拉维外援分配效率模型
Modeling Efficiency of Foreign Aid Allocation in Malawi
摘要：
开放援助马拉维倡议收集了一个前所未有的数据库，为自2003年以来向马拉维提供的2 500多笔个人外国援助捐款中的每一笔捐款确定尽可能多的具体地点信息。确保有效使用和分配这些援助对捐助者和马拉维公民都很重要。然而，由于捐助方的目标不同，而且难以跟踪捐助方的协调情况，因此很难确定是否有有效的援助分配。我们比较了几个贝叶斯空间广义线性混合模型的援助分配的各种经济指标在七个捐赠部门。我们发现，空间伽玛回归模型最好地预测目前的援助分配。使用这个模型，首先，我们使用系数的推论，以检查是否有证据表明，有效的援助分配在每个部门。其次，我们使用这个模型来确定一个更有效的援助分配方案，并将此方案与当前的分配方案进行比较，为未来的援助捐款提供见解。
英文摘要：
The Open Aid Malawi initiative has collected an unprecedented database that identifies as much location-specific information as possible for each of over 2500 individual foreign aid donations to Malawi since 2003. Ensuring efficient use and distribution of that aid is important to donors and to Malawi citizens. However, because of individual donor goals and difficulty in tracking donor coordination, determining presence or absence of efficient aid allocation is difficult. We compare several Bayesian spatial generalized linear mixed models to relate aid allocation to various economic indicators within seven donation sectors. We find that the spatial gamma regression model best predicts current aid allocation. Using this model, first we use inferences on coefficients to examine whether or not there is evidence of efficient aid allocation within each sector. Second, we use this model to determine a more efficient aid allocation scenario and compare this scenario to the current allocation to provide insight for future aid donations.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
