2016
DOI: 10.1080/0376835x.2016.1203760
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The relationship between financial sector development and savings mobilisation in South Africa: An empirical study

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Cited by 9 publications
(11 citation statements)
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“…As a proxy for the financial development, this study utilised domestic credit to the private sector (DCP). This is consistent with Kim and Wu (2008), Beck, Demirguc-Kunt and Levine (2000) and Kapingura and Alagidede (2016). Kapingura and Alagidede (2016) indicate that there are different views regarding the function of the financial sector development within the economy.…”
Section: Model Specificationsupporting
confidence: 85%
“…As a proxy for the financial development, this study utilised domestic credit to the private sector (DCP). This is consistent with Kim and Wu (2008), Beck, Demirguc-Kunt and Levine (2000) and Kapingura and Alagidede (2016). Kapingura and Alagidede (2016) indicate that there are different views regarding the function of the financial sector development within the economy.…”
Section: Model Specificationsupporting
confidence: 85%
“…In particular, South Africa has one of the lowest household savings rates equating to only 0.26% of household disposable income in 2017 (OECD, ; South African Reserve Bank, ). Household savings as a percentage of disposable income, and household net savings as a percentage of gross domestic product, have been trending downward in South Africa over the last three decades (Kapingura & Alagidede, ; South African Reserve Bank, ). A variety of factors have potentially contributed to South Africa’s low savings levels, including low levels of economic growth and increased access to credit as a result of financial liberalization (Harjes & Ricci, ; Odhiambo, ).…”
Section: Introductionmentioning
confidence: 99%
“…Odhiambo (2008), unit root tests were done in order to establish the characteristics of time series data before the existence of a long run relationship between savings and financial development was estimated. Consistent with Kapingura and Alagidede (2016), this paper used Augmented Dickey Fuller (ADF) and Philips-Perron (PP) to check the stationarity of savings and financial development data and to find out the order of integration of the variables. Table 1 results show that both savings and credit to the private sector data sets were not stationary at level thus making it necessary to check for stationarity at first difference (see Table 2).…”
Section: Methodsmentioning
confidence: 99%