普惠金融与减贫:2010-2019年面板数据分析

T. Hojjat, J. Ruíz, Aaróm Víctor Mondragón Villanueva
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引用次数: 0

摘要

本研究的目的是确定金融普惠对减少贫困的贡献。本研究以秘鲁为例,利用2010-2019年期间的数据分析了通过普惠金融减少贫困的政策过程。一般的研究假设是,金融包容性可以有助于减少贫困。指定了面板数据模型,通过固定效应估计器对面板数据模型进行估计。在指定的计量经济模型中,因变量是贫困率,而利息的解释变量,在本例中是金融包容性,是通过金融包容性的多维指数来衡量的。此外,还纳入了一组控制变量:经济增长、收入不平等、劳动非正规率和平均受教育年限。研究结果证明了支持一般研究假设的证据,证实了普惠金融在2010-2019年期间对秘鲁减少贫困做出了1%的统计显著贡献。同样,关于控制变量,已确定经济增长水平和平均受教育年数的增加也与减少贫穷有关。此外,它证实了收入不平等和劳动非正式程度的降低导致贫困率降低的改善。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Financial Inclusion and Poverty Reduction: An Analysis of Panel Data 2010-2019
The purpose of this research paper is to determine the contribution of financial inclusion on the reduction of poverty. Peru was used as a case study to analyze the policy process in reduction of poverty through financial inclusion using data for the period of 2010-2019. The general research hypothesis is that financial inclusion can contribute to the reduction of poverty. Panel data model was specified whose estimation was made through the fixed effects estimator.Within the specified econometric model, the dependent variable was the poverty rate, while the explanatory variable of interest, in this case, financial inclusion, was measured through a multidimensional index of financial inclusion. Additionally, a set of control variables was incorporated: economic growth, income inequality, labor informality rate, and average number of years of education achieved.The results of the research demonstrate evidence in favor of the general research hypothesis, confirming that financial inclusion presents a statistically significant contribution of 1% on the reduction of poverty in Peru during the period 2010-2019. Likewise, regarding the control variables, it is identified that the increase in the levels of economic growth and average years of education are also relevant for the reduction of poverty. Additionally, it is corroborated that the reduction of the levels of income inequality and labor informality lead to an improvement in reduction of the poverty rates.
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