Govt College Peshawar, Peshawar, Pakistan.
Department of Economics, University of Peshawar, Peshawar, Pakistan.
PLoS One. 2020 Dec 28;15(12):e0244444. doi: 10.1371/journal.pone.0244444. eCollection 2020.
Efficiency analysis of the Partner Organizations can benefit all the microfinance sector's key stakeholders to benchmark the current scene and formulate optimal policy agenda. This study seeks to measure the partner organizations of the Pakistan Poverty Alleviation Fund's social and financial efficiency and to identify causes and sources of their inefficiencies. A non-parametric technique known as Data Envelopment Analysis is applied to investigate the Partner Organizations' efficiency throughout 2005-2015. The required data was obtained from the database of the Mix-Market and Pakistan Microfinance Network. The social and financial efficiency was estimated assuming Constant Return to Scale, Variable Return to Scale, and with respect to the Operational Scale of the Partner Organizations. Results revealed that the partner organizations are more scale efficient (median = 75%) than pure technically efficient (median = 55%). Further, graphical representations show a decreasing linear trend and negative serial correlation in the percentage of efficient partner organizations. The model fit results show that institutional characteristics that influence partner organizations' efficiencies significantly include their age, Operational Self-Sufficiency, personnel, loan officers, assets and debt. Finally, the diagnostic tests for endogeneity, heteroskedasticity, heterogeneity, and cross-sectional dependence were performed.
伙伴组织的效率分析可以使小额信贷部门的所有主要利益相关者受益，从而对当前情况进行基准测试并制定最佳政策议程。本研究旨在衡量巴基斯坦扶贫基金的伙伴组织的社会和财务效率，并确定其效率低下的原因和来源。应用一种称为数据包络分析的非参数技术来研究 2005-2015 年期间伙伴组织的效率。所需数据来自Mix-Market 和巴基斯坦小额信贷网络的数据库。假设规模报酬不变、规模报酬可变，并根据伙伴组织的运营规模来估计社会和财务效率。结果表明，与纯技术效率（中位数为 55%）相比，伙伴组织的规模效率更高（中位数为 75%）。此外，图形表示显示，有效伙伴组织的百分比呈下降的线性趋势和负序列相关性。模型拟合结果表明，影响伙伴组织效率的制度特征包括其年龄、运营自给自足、人员、贷款官员、资产和债务。最后，进行了内生性、异方差性、异质性和横截面相关性的诊断测试。
