scholarly journals Financial Development, Savings and Investment in South Africa: A Dynamic Causality Test

2017 ◽  
Vol 17 (3) ◽  
pp. 20170042 ◽  
Author(s):  
Brian Muyambiri ◽  
Nicholas Odhiambo
Keyword(s):  
South Africa ◽  
Causal Relationship ◽  
Granger Causality ◽  
Financial Development ◽  
Financial Sector ◽  
Policy Implications ◽  
Bounds Testing ◽  
Causality Test ◽  
Development Indicators ◽  
Financial Sector Development

This study investigates the causal relationship between financial development and investment in South Africa during the period from 1976 to 2014. The study incorporates both bank-based and market-based segments of financial sector development. In addition, composite indices for bank-based and market-based financial development indicators are used as explanatory variables. The study incorporates savings as an intermittent variable – thereby creating a simple trivariate Granger-causality model. Using the ARDL bounds testing approach to cointegration and the ECM-based Granger-causality test, the study finds a unidirectional causal flow from investment to financial development, but only in the short run. In the long run, the study fails to find any causal relationship between financial development and investment. These results apply irrespective of whether bank-based or market-based financial development is used as a proxy for financial sector development. The findings of this study have important policy implications.

Financial sector development and income inequality in South Africa

2017 ◽  
Vol 8 (4) ◽  
pp. 420-432 ◽  
Author(s):  
Forget Mingiri Kapingura
Keyword(s):  
South Africa ◽  
Income Inequality ◽  
Financial Development ◽  
Empirical Studies ◽  
Financial Sector ◽  
Financial Inclusion ◽  
External Trade ◽  
Bounds Testing ◽  
Content Type ◽  
Financial Sector Development

Purpose The purpose of this paper is to examine the relationship between financial sector development and inequality in South Africa for the period from 1990 to 2012. Unlike previous studies, the study examines the role of both the broad measure of financial sector development (Bank credit to the private sector) and a measure of financial inclusion (ATMs). Design/methodology/approach Utilising quarterly data, the autoregressive distributed lag bounds testing model approach to cointegration test was estimated. The approach was preferred due to its compatibility with data of different orders and flexibility. Findings The findings indicate that financial development, especially when it is inclusive reduces the level of inequality in South Africa both in the short- and long-run. The results also highlighted that economic growth, external trade activities and government activities have played a very important role in reducing inequality in South Africa. On the other hand the empirical results also highlight that increasing inflation is regressive on inequality in South Africa. Research limitations/implications The results from the study imply that financial development on its own though important may not benefit the disadvantaged groups such as the poor and the rural community until it is inclusive. It is important to note that the study was carried out on the premise that inequality plays a very important role in exacerbating poverty levels in South Africa. Practical implications The paper highlights another avenue which authorities can pursue to reduce the level of inequality in the country. Social implications The paper documents the importance of financial inclusion in reducing the level of inequality in South Africa rather than advocating for financial sector development only. Originality/value The paper makes a contribution through analysing the effect of financial inclusion on income inequality rather than broad financial sector development which is common to the majority of the available empirical studies.

Digitisation as a Contingent Factor in India’s Financial Sector Development-growth Nexus: An Empirical Study

2019 ◽  
Vol 13 (3) ◽  
pp. 306-326
Author(s):  
T. K. Jayaraman ◽  
Keshmeer Makun
Keyword(s):  
Empirical Study ◽  
Financial Services ◽  
Financial Sector ◽  
Growth Function ◽  
Testing Procedure ◽  
Policy Implications ◽  
Data Series ◽  
Bounds Testing ◽  
Financial Sector Development ◽  
Contingent Factor

Financial sector development (FSD) has been recognised as a supportive factor, acting as a shift variable in the growth function, besides the fundamental variables of capital stock and labour. Since the beginning of the new millennium, rapid strides in the spread of information and communication technology (ICT) have enabled the hitherto reluctant, urban-based banking institutions to reach the rural masses for mobilising savings. Digitisation through various innovations has made it possible that ‘brick and mortar less’ bank branches now increasingly provide financial services to rural India. This study examines the role of digitisation as a contingent factor in India’s FSD and growth nexus during the last 13 years (2003–2015). The findings of the empirical study through employment of ARDL methodology and application of bounds testing procedure by utilising 52 quarterly observations of the data series of relevant variables reveal that digitisation has indeed emerged a significant factor in the FSD and growth nexus, by playing a complementary role to FSD. There are two policy implications: (a) as ICT has emerged a major tool, it has to be supported at all levels, and (b) the financial inclusion process should be carried forward as it has all the potential to speed up economic growth and development. JEL: G21, O16, O33

scholarly journals Information asymmetry and conditional financial sector development

2017 ◽  
Vol 9 (4) ◽  
pp. 372-392
Author(s):  
Simplice Asongu ◽  
Jacinta Nwachukwu
Keyword(s):  
Information Asymmetry ◽  
Financial Development ◽  
Financial Sector ◽  
Policy Implications ◽  
African Countries ◽  
Content Type ◽  
Mean Values ◽  
Financial Sector Development ◽  
Negative Effect ◽  
The Impact

Purpose The purpose of this study is to examine the role of reducing information asymmetry (IA) on conditional financial sector development in 53 African countries for the period 2004-2011. Design/methodology/approach The empirical evidence is based on contemporary and non-contemporary quantile regressions. Instruments for reducing IA include public credit registries (PCRs) and private credit bureaus (PCBs). Hitherto unexplored dimensions of financial sector development are used, namely, financial sector dynamics of formalization, informalization, semi-formalization and non-formalization. Findings The following findings are established. First, the positive (negative) effect of information sharing offices (ISO) on formal (informal) financial development is consistent with theory. Second, ISOs consistently increase formal financial development, with the incidence of PCRs higher in terms of magnitude, and financial sector formalization, with the impact of PCBs higher for the most part. Third, only PCBs significantly decrease informal financial development and both ISOs decrease financial sector informalization. Policy implications are discussed. Originality/value The study assesses the effect of reducing IA on financial development when existing levels of it matter because current studies based on mean values of financial development provide blanket policy implications which are unlikely to be effective unless they are contingent on prevailing levels of financial development and tailored differently across countries with high, intermediate and low initial levels of financial development.

scholarly journals Financial sector development convergence in Africa: Evidence from bank- and market-based measures

2019 ◽  
Vol 8 (4) ◽  
pp. 166 ◽  
Author(s):  
Yakubu Awudu Sare ◽  
Eric Evans Osei Opoku ◽  
Muazu Ibrahim ◽  
Isaac Koomson
Keyword(s):  
Financial Markets ◽  
Financial Development ◽  
Generalized Method Of Moments ◽  
Financial Sector ◽  
Developed Countries ◽  
African Countries ◽  
Development Indicators ◽  
Developed Economies ◽  
Financial Sector Development ◽  
Catch Up

In this paper, we employ data from 46 African countries over the period 1980–2014 to examine financial sector development convergence, using bank- and market-based measures of financial development. Within the framework of the generalized method of moments (GMM), we present evidence that both the bank– and market–based financial sector development in Africa diverge over time. However, we find strong evidence of financial development divergence when using bank-based financial sector development indicators whereas this evidence is weaker for market-based indicators. Given the divergence in the level of finance, the gap between countries with underdeveloped and well–developed financial markets will continue to widen as financially less developed countries do not appear to catch-up with the financially more developed economies.  Keywords: Financial development; divergence, convergence, AfricaJEL Classification: F15, F36, G01, O55

scholarly journals Causal Relationship Between Financial Sector Development in SMEs & Economic Growth in Southern Africa Region

2021 ◽  
Vol 18 ◽  
pp. 996-1018
Author(s):  
Abigail Chivandi ◽  
Happiness Makumbe ◽  
Olorunjuwon Samuel
Keyword(s):  
Economic Growth ◽  
Causal Relationship ◽  
Financial Development ◽  
Financial Sector ◽  
Causal Connection ◽  
Financial Sector Development ◽  
Bidirectional Relationship ◽  
Causality Tests ◽  
Annual Time Series ◽  
Development Support

This study explores causal relationship between financial sector development in SMEs and economic growth in Zimbabwe using annual time series and the Error Correction Model (ECM) framework. Monetary sector improvement and financial development stayed a controversial issue in Southern African nations. Market analysts have distinctive hypothetical and exact perspectives on the causal connection between monetary sector improvement and financial development. support supply driving speculation that monetary sector improvement prompts financial development & credit to request pulling speculation which proposes that monetary improvement results from financial development. Study made use of Unit Root Tests, Cointegration, ECM and Granger Causality Tests. Empirical findings revealed a bidirectional relationship between financial sector development in SMEs, economic & business growth. Business & Economic Growth enhance a strong and flexible legal system allowing banks to allocate resources (credit) more efficiently to SMEs. Credit should be accessed by all enterprise fairly to encourage the development of indigenous businesses through SMEs.

scholarly journals Education and economic growth in South Africa: an empirical investigation

2020 ◽  
Vol 48 (1) ◽  
pp. 1-16
Author(s):  
Nicholas M. Odhiambo
Keyword(s):  
Economic Growth ◽  
South Africa ◽  
Causal Relationship ◽  
Granger Causality ◽  
Bounds Testing ◽  
Content Type ◽  
Level Of Education ◽  
Causality Model ◽  
Ardl Bounds Testing Approach ◽  
Education And Economic Growth

PurposeThis paper examines the dynamic causal relationship between education and economic growth in South Africa using annual time-series data from 1986 to 2017. The study attempts to answer one critical question: Does education, which is one of the priority sectors in South Africa, drive economic growth?Design/methodology/approachThe study uses the ARDL bounds testing approach and ECM-based Granger causality model to examine this linkage. The study also uses three proxies to measure the level of education. In addition, the study uses two variables: investment and labour, as intermittent variables between the various proxies of education and economic growth, thereby creating a system of multivariate Granger-causality models.FindingsThe study finds that the causal relationship between education and economic growth in South Africa is dependent on the variable used to measure the level of education. In addition, the causality tends to change over time. Overall, the study finds the causal flow from economic growth to education to supersede the causal flow from education to economic growth.Originality/valueUnlike some previous studies, the current study uses three proxies of education in South Africa and two intermittent variables in a multivariate setting. To our knowledge, this may be the first study of its kind to examine in detail the dynamic causal relationship between education and economic growth in South Africa – using the ARDL bounds testing approach and a multivariate Granger causality model.

Does financial development matter for domestic investment? Empirical evidence from India

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Niharika Sinha ◽  
Swati Shastri
Keyword(s):  
Financial Development ◽  
Principal Component ◽  
Domestic Investment ◽  
Bounds Testing ◽  
Causality Test ◽  
Content Type ◽  
Development Indicators ◽  
Indian Economy ◽  
Long Run ◽  
The Impact

PurposeThis paper empirically examines the impact of financial development on domestic investment in India for the period 1989–2017.Design/methodology/approachThis study employs the autoregressive distributed lag (ARDL) bounds testing approach to co-integration to test the long-run relationship between financial development and domestic investment. To test the direction of causality, Toda–Yamamoto causality test and vector error correction model (VECM) Granger causality/Block Exogeneity Wald test have been employed. Investment has been measured by Gross Capital Formation. To capture various aspects of financial development in India, eight alternative indicators (both bank based and market based) have been used. With the help selected indicators, a composite index (FINDEX) of financial development has been constructed using principal component analysis (PCA).FindingsThe estimated result finds evidence in favour of positive, short-run and long-run impact of financial development on investment in the Indian economy. Both bank-based and market-based indicators are found to significantly affect the level of investment. The significant effect of efficiency-based financial development indicators (both bank based and market based) upon domestic investment implies that there is a need to implement policies that ensure the efficiency of financial intermediation.Originality/valueTo the best of authors' knowledge, not much research has been done to explore the relationship between financial development and domestic investment, especially in the case of Indian economy. This study also tries to find the impact of bank-based and market-based financial development indicators upon domestic investment to explore banks vs market issue.

scholarly journals Petroleum Consumption and Financial Development in Malaysia

2016 ◽  
Author(s):  
Jen-Eem Chen ◽  
Yan-Ling Tan ◽  
Chin-Yu Lee ◽  
Lim-Thye Goh
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Granger Causality ◽  
Financial Development ◽  
Granger Causality Test ◽  
Financial Sector ◽  
Causality Test ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Long Run

This paper aims to contribute to the existing literature by examining the dynamic relationship among petroleum consumption, financial development, economic growth and energy price. The sample of this study is based on the Malaysian annual data from 1980 to 2010. The model specification was examined in the Autoregressive Distributed Lag (ARDL) framework and the results revealed the existence of a long-run equilibrium. The findings indicated that financial development and economic growth cause a demand for energy to escalate in the long run. The Toda-Yamamoto (TYDL) non Granger-causality test provides evidence that there is unidirectional Granger-causality running from financial development and economic growth to energy consumption in the long run. This suggests that Malaysia is not an energy-dependent country. Hence, the government could implement energy conservation policies to reduce the waste of energy use. Given that development in the financial sector, and economic growth increase petroleum consumption in Malaysia, the policies pertaining to energy consumption should incorporate the development of the financial sector and economic growth of country.   Keywords: Petroleum consumption, financial development, non-renewable energy, Autoregressive Distributed Lag (ARDL), Toda-Yamamoto (TYDL) non Granger-causality test

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