城乡家庭储蓄的决定因素:以南非为例

T. Zwane
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引用次数: 3

摘要

储蓄被认为是一个重要的金融和经济问题,是经济增长和发展的重要推动力。尽管如此,许多调查南非储蓄决定因素的研究主要只着眼于国家一级的储蓄驱动因素,而没有关注城乡差异。这一点至关重要,因为这些地方在结构上是不同的,具有不同的特征。因此,考虑到过去边缘化政策的负面影响,这些独特地理位置的储蓄决定因素可能会有所不同。本文的目的是研究南非家庭储蓄的城乡差异。我们使用的数据来自2008-2017年国民收入动态研究(NIDS)的五波观测数据。本研究的新颖之处在于其应用了一种新的两阶段最小二乘估计技术,该技术解决了可能困扰该领域先前研究的内质性问题。从研究中得出结论,储蓄的决定因素在不同的样本(城市和农村)是不同的。我们发现,在贫困人口居住的农村地区,获得土地是储蓄的重要预测因素(正且显著),但该系数在城市样本中并不显著。尽管在所有样本中,收入和储蓄之间存在正相关关系,但收入对储蓄的影响在绝对值上高于城市地区的家庭。我们还发现,尽管就业系数在各个样本的影响方向上相似(正且显著),但系数的幅度在农村样本中更强。基于较高的系数值,我们发现家庭规模对城市的影响大于农村。该研究建议,政府应该设计和实施促进创造就业的政策,即使是低技能的工作,这将产生更多的收入,降低失业率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Determinants of Savings in Urban and Rural Households: Case of South Africa
Savings have been described as a significant fi nancial and economic matter and represent an essential driving force of economic growth and development. Despite this, many studies investigating the determinants of savings in South Africa have looked predominantly at the drivers of savings only at a national level, without focusing on urban and rural differences. This is critical as these localities are structurally different, with different characteristics. It is, therefore, likely that the determinants of savings in these unique geographical localities would differ, given the negative impact of past policies of marginalisation. The purpose of this paper is to examine the urban-rural disparities in savings for South African households. We used data sourced from the five waves of the National Income Dynamics Study (NIDS) observed from 2008-2017. The novelty of this study is in its application of a novel two-stage least square estimation technique which addresses possible endogeneity problems which might have plagued previous studies in this field. It was concluded from the research that the determinants of savings are different across samples (urban and rural). We found that having access to land is an important predictor of savings in rural areas where the poor live (positive and significant), but the coefficient is not significant in the urban sample. Although there was a positive correlation between income and savings across samples, but the income impact on savings is higher in absolute values for households residing in rural areas, compared to household living in urban areas. We also found that, despite the coefficient of employment being similar in the direction of the impact (positive and significant) across the samples, the magnitude of the coefficient was stronger in the rural sample. Based on the higher magnitude of the coefficient, we found that household size has more effect in urban than rural areas. The study recommends that government should design and implement policies that foster job creation, even low-skilled jobs, which will generate more income and reduce unemployment.
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