The impact of financial development on economic growth

2016 ◽  
Vol 11 (4) ◽  
pp. 569-583 ◽  
Author(s):  
Madhu Sehrawat ◽  
A.K. Giri
Keyword(s):  
Economic Growth ◽  
Financial Development ◽  
Structural Breaks ◽  
Regional Cooperation ◽  
Ordinary Least Squares ◽  
Annual Data ◽  
Content Type ◽  
Long Run ◽  
Integration Test ◽  
The Impact

Purpose The purpose of this paper is to investigate the possible co-integration and the direction of causality between financial development and economic growth in South-Asian Association for Regional Cooperation (SAARC) countries using annual data from 1994 to 2013. Design/methodology/approach The Carrion-i-Silvestre et al. (2005) stationarity test with structural breaks is used to check the stationarity. The Westerlund (2006) panel co-integration test is employed to examine the long-run relationship among the variables. To carry out tests on the co-integrating vectors, fully modified ordinary least squares (FMOLS) and PDOLS techniques are used and panel Granger causality test is used to examine the direction of the causality. Findings The Westerlund (2006) panel co-integration test confirms the existence of the long-run relationship between financial development and economic growth for SAARC countries. The coefficients of FMOLS and DOLS indicate that index of financial development (IFD) and trade openness supports economic growth in SAARC region. In the short-run, there is unidirectional causality running from IFD to economic growth. Research limitations/implications In the view of these findings it is recommended that countries in the region should adopt policies geared toward financial sector development to attain high economic growth. Originality/value To the best of the author’s knowledge, no studies have looked into SAARC countries to study the relationship between financial development and economic growth, this study is the first of its kind.

The role of financial development in economic growth: empirical evidence from Indian states

2015 ◽  
Vol 10 (4) ◽  
pp. 765-780 ◽  
Author(s):  
Madhu Sehrawat ◽  
A K Giri
Keyword(s):  
Economic Growth ◽  
Financial Development ◽  
Ordinary Least Squares ◽  
Annual Data ◽  
Indian States ◽  
Content Type ◽  
Long Run ◽  
Panel Granger Causality ◽  
Integration Test

Purpose – The purpose of this paper is to examine the relationship between financial development and economic growth in Indian states using annual data from 1993 to 2012. Design/methodology/approach – The stationarity properties are checked by Levin-Lin-Chu and Im-Pesaran-Shin panel unit root tests. The study employed the Pedroni’s panel co-integration test to examine the existence of long-run relationship and the coefficients of co-integration are examined by fully modified ordinary least squares. The short term and long-run causality is checked by panel granger causality. Findings – The co-integration test confirms a long-run relationship between financial development and economic growth for Indian states. The results support the supply leading hypothesis and highlight the importance of financial development in economic growth in Indian states. The findings also indicate that bank-centric financial sector of India has the potential of economic growth through credit transmission. Research limitations/implications – The present study recommends for appropriate reforms in financial market to attain economic growth in India. The findings will be useful for India’s policymakers in order to maintain the parallel expansion of financial development and economic growth. Originality/value – Till date, there is no study that includes all 28 states in analyzing the role of financial development in economic growth for Indian economy by applying latest econometric techniques. Further, the study uses gross domestic state product instead of net domestic state product as proxy for economic growth because of the presence of different depreciation rates.

scholarly journals The drivers of economic growth in China and India: globalization or financial development?

2017 ◽  
Vol 16 (1) ◽  
pp. 54-84 ◽  
Author(s):  
Magda Kandil ◽  
Muhammad Shahbaz ◽  
Mantu Kumar Mahalik ◽  
Duc Khuong Nguyen
Keyword(s):  
Economic Growth ◽  
Financial Development ◽  
Emerging Market ◽  
Annual Data ◽  
Test Results ◽  
Causality Test ◽  
Content Type ◽  
China And India ◽  
Integration Test ◽  
The Impact

Purpose Using annual data from 1970 to 2013 for China and India, this paper aims to examine the impact of globalization and financial development on economic growth by endogenizing capital and inflation and drawing comparisons between the two fastest growing emerging market economies. Design/methodology/approach In the long run, co-integration test results indicate that financial development increases economic growth in China and India. Findings The results also reveal that globalization accelerates economic growth in India but, surprisingly, impairs economic growth in China, as it increases competition for exports. The results furthermore disclose that acceleration in capitalization and inflation, as a proxy for aggregate demand, are positively linked to economic growth in China and India. Originality/value Causality test results indicate that both financial development and economic growth are interdependent. In contrast, causality runs from higher economic growth to increased globalization in India, while the results do not support long-term causality between globalization and economic growth in China.

Financial development and economic growth: empirical evidence from India

2015 ◽  
Vol 32 (3) ◽  
pp. 340-356 ◽  
Author(s):  
Madhu Sehrawat ◽  
A K Giri
Keyword(s):  
Economic Growth ◽  
Financial Development ◽  
Positive Impact ◽  
Annual Data ◽  
Content Type ◽  
Distributed Lag ◽  
Long Run ◽  
Integration Test ◽  
Short Run ◽  
Sustainable Economic Growth

Purpose – The purpose of this paper is to examine the relationship between financial development and economic growth in India using annual data from 1982 to 2012. Design/methodology/approach – The stationarity properties are checked by ADF, DF-GLS, KPSS and Ng–Perron unit root tests. The long- and short-run dynamics are examined by using the autoregressive distributed lag (ARDL) approach to co-integration. Findings – The co-integration test confirms a long-run relationship in financial development and economic growth for India. The analysis of ARDL test results reveals that both bank-based and market-based indicators of financial development have a positive impact on economic growth in India. Hence, the results support the supply-leading hypothesis and highlight the importance of financial development in economic growth. The findings also indicate that the Indian bank-centric financial sector has the potential for economic growth through credit transmission. Research limitations/implications – The present study recommends appropriate reforms in financial markets to attain sustainable economic growth. The findings are useful for policy-makers who want to maintain a parallel expansion of financial development and growth. Originality/value – To date, there are hardly any studies that use both market-based and bank-based indicators as proxies of financial development and analyze their role in economic growth in India. So, the contribution of the paper is to fill this gap in literature.

scholarly journals Migrants’ remittances and economic growth in Egypt: an empirical analysis from 1980 to 2017

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Rasha Qutb
Keyword(s):  
Economic Growth ◽  
Granger Causality ◽  
Recipient Country ◽  
Growth Effect ◽  
Annual Data ◽  
Content Type ◽  
Long Run ◽  
Integration Test ◽  
Migrant Remittances ◽  
The Impact

Purpose Migrants’ remittances to Egypt have increased considerably in both size and importance over the past 40 years. This increase has made Egypt one of the top remittance recipients in the world and the leading recipient country in the Middle East. As migrant remittances are one of Egypt's main sources of foreign capital, this study aims to identify the impact of these remittances on economic growth. Design/methodology/approach The study collects annual data on migrant remittances sent to Egypt during the period 1980–2017. The study uses the Augmented Dickey–Fuller test and Johnsen's Co-integration test to establish long-run relationships between variables. Then, a vector error correction model (VECM) is used to combine long-run and short-run dynamics, and a Granger causality test is performed. Finally, diagnostic tests of the VECM are conducted. Findings Results reveal that migrants’ remittances to Egypt are countercyclical in the sense that they have a long-term negative impact on economic growth. These results are determined by the Granger causality between migrants' remittances, inflation rate and imports. Practical implications The study can help policymakers to develop appropriate policies to turn migrants' remittances into a reliable source of capital that could result in a stable economic growth. Originality/value Although various empirical studies have examined the growth effect of remittances, most of them are based on cross-country data. This study contributes to the field by attempting to close a gap in the literature by empirically analyzing the impact of remittances on a single country over a long period.

scholarly journals The Impact of Industrialization, Trade Openness, Financial Development, and Energy Consumption on Economic Growth in Indonesia

Economies ◽  
2021 ◽  
Vol 9 (4) ◽  
pp. 174
Author(s):  
Khalid Eltayeb Elfaki ◽  
Rossanto Dwi Handoyo ◽  
Kabiru Hannafi Ibrahim
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Least Squares ◽  
Financial Development ◽  
Correction Term ◽  
Trade Openness ◽  
Ordinary Least Squares ◽  
Distributed Lag ◽  
Long Run ◽  
The Impact

This study aimed to scrutinize the impact of financial development, energy consumption, industrialization, and trade openness on economic growth in Indonesia over the period 1984–2018. To do so, the study employed the autoregressive distributed lag (ARDL) model to estimate the long-run and short-run nexus among the variables. Furthermore, fully modified ordinary least squares (FMOLS), dynamic least squares (DOLS), and canonical cointegrating regression (CCR) were used for a more robust examination of the empirical findings. The result of cointegration confirms the presence of cointegration among the variables. Findings from the ARDL indicate that industrialization, energy consumption, and financial development (measured by domestic credit) positively influence economic growth in the long run. However, financial development (measured by money supply) and trade openness demonstrate a negative effect on economic growth. The positive nexus among industrialization, financial development, energy consumption, and economic growth explains that these variables were stimulating growth in Indonesia. The error correction term indicates a 68% annual adjustment from any deviation in the previous period’s long-run equilibrium economic growth. These findings provide a strong testimony that industrialization and financial development are key to sustained long-run economic growth in Indonesia.

The impact of financial development, economic growth and energy consumption on environmental degradation

2015 ◽  
Vol 26 (5) ◽  
pp. 666-682 ◽  
Author(s):  
Madhu Sehrawat ◽  
A K Giri ◽  
Geetilaxmi Mohapatra
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Financial Development ◽  
Environmental Degradation ◽  
Series Data ◽  
Development Economic ◽  
Content Type ◽  
Indian Economy ◽  
Long Run ◽  
The Impact

Purpose – The purpose of this paper is to investigate the impact of financial development, economic growth and energy consumption on environment degradation for Indian economy by using the time series data for the period 1971-2011. Design/methodology/approach – The stationary properties of the variables are checked by ADF, DF-GLS, PP and Ng-Perron unit root tests. The long-run relationship is examined by implementing the Autoregressive Distributed Lag bounds testing approach to co-integration and error correction method (ECM) is applied to examine the short-run dynamics. The direction of the causality is checked by VECM framework and variance decomposition is used to predict exogenous shocks of the variables. Findings – The empirical evidence confirms the existence of long-run relationship among the variables. Financial development appears to increase environmental degradation in India. The main contributors to environmental degradation are: economic growth, energy consumption financial development and urbanization. The results also lend support to the existence of environmental Kuznets curves for Indian economy. Research limitations/implications – The present study suggests that environmental degradation can be reduced at the cost of economic growth or energy efficient technologies should be encouraged to enhance the domestic product with the help of financial sector by improving environmental friendly technologies from advanced economies. Originality/value – This paper proposes to make a contribution to the existing literature through examining the relationship between financial development and environmental degradation in Indian economy during 1971-2011 by employing modern econometric techniques.

Does financial development improve environmental quality in Turkey? An application of endogenous structural breaks based cointegration approach

2018 ◽  
Vol 29 (2) ◽  
pp. 368-384 ◽  
Author(s):  
Javaid Ahmad Dar ◽  
Mohammad Asif
Keyword(s):  
Economic Growth ◽  
Financial Development ◽  
Environmental Quality ◽  
Unit Root ◽  
Structural Breaks ◽  
Energy Use ◽  
Financial Sector ◽  
Content Type ◽  
Long Run ◽  
Endogenous Structural Breaks

Purpose The purpose of this paper is to investigate the long-run effect of financial sector development, energy use and economic growth on carbon emissions for Turkey, in presence of possible regime shifts over a period of 1960-2013. Design/methodology/approach Along with the conventional unit root tests, Zivot-Andrews unit root test with structural break has been employed to check the stationarity of variables. The cointegrating relationship between variables is investigated by using the autoregressive distributed lag bounds test and Hatemi-J threshold cointegration test. Findings The results confirm a cointegrating relationship between the variables. The long-run relationship between the variables has gone through two endogenous structural breaks in 1976 and 1986. Development of financial sector improves environmental quality whereas energy use and economic growth degrade it. The results challenge the validity of environmental Kuznets curve hypothesis in Turkish economy. Research limitations/implications The study uses domestic credit to private sector as a proxy for development of financial sector. The model can be improved by constructing an index of financial development instead of using a single determinant as a proxy for financial development. Practical implications The study may pave the way for policy makers to capture important environmental pollutants in better way and develop effective and efficient energy and economic policies. This may make significant contribution to curbing CO2 emissions while sustaining economic growth. Originality/value This is the only study to examine long-run impact of financial sector development on carbon emissions, using the threshold cointegration approach. Hence, the study is a gentle request to reduce the possible omitted variable econometric estimation bias and fill the gap in the existing literature.

Financial development, FDI and economic growth: evidence from Sudan

2018 ◽  
Vol 45 (8) ◽  
pp. 1236-1249 ◽  
Author(s):  
Abdalla Sirag ◽  
Samira SidAhmed ◽  
Hamisu Sadi Ali
Keyword(s):  
Economic Growth ◽  
Least Squares ◽  
Financial Development ◽  
Unit Root ◽  
Structural Break ◽  
Ordinary Least Squares ◽  
Series Data ◽  
Content Type ◽  
Long Run ◽  
Cointegration Tests

Purpose The effect of foreign direct investment (FDI) on economic growth is widely believed to be contingent on the development of the financial sector. Nevertheless, as the possibility that the effect of financial development on growth being contingent on FDI has been neglected in existing literature, the authors have investigated it in this paper. In general, the purpose of this paper is to examine the effect of financial development and FDI on economic growth in Sudan using annual data from 1970 to 2014. Design/methodology/approach Since most of the macroeconomic variables are subject to unit root problem, the time series data are assessed using unit root and cointegration tests with/without structural break. Moreover, the study uses the fully modified ordinary least squares and the dynamic ordinary least squares techniques to estimate the long-run model. Findings The results of the cointegration tests provide evidence that a long-run relationship exists among variables even after accounting for the structural break. The results show that financial development and FDI are positive and significant in explaining economic growth in Sudan. Financial development is found to be more beneficial to economic growth than FDI. Moreover, the findings reveal that FDI leads to better economic performance through financial development. Interestingly, the findings of the study show that the effect of financial development on economic growth is further enhanced by the inflows of FDI. Research limitations/implications The government should focus on promoting FDI in more productive sectors. In addition, further cooperation with multinational enterprises is needed to increase FDI in the country. Originality/value This is the first paper that empirically examines both the interlinked impact of FDI on growth through financial development and the impact of financial development on economic growth through FDI in Sudan using appropriate econometric methods.

scholarly journals The effect of financial development on income inequality in Turkey: An estimate of the Greenwood-Jovanovic hypothesis

2019 ◽  
Vol 19 (4) ◽  
pp. 319-344
Author(s):  
Emrah Koçak ◽  
Nısfet Uzay
Keyword(s):  
Income Inequality ◽  
Least Squares ◽  
Linear Relationship ◽  
Financial Development ◽  
Structural Breaks ◽  
Ordinary Least Squares ◽  
Financial Indicators ◽  
Long Run ◽  
Integration Test ◽  
Robustness Check

Abstract This paper is the first to examine the linear and nonlinear effect of financial development on income inequality in Turkey over the period of 1980-2013. Financial development is represented by disaggregated and aggregated indicators. In this way, the effects of various financial indicators on income inequality are explained. Maki (2012) structural breaks co-integration test, and Stock and Watson (1993) dynamic ordinary least squares (DOLS) methods are followed for empirical analysis. Finally, the fully modified least squares (FM-OLS) regression analysis method developed by Philips and Hansen (1990) is used for robustness check. The estimation results of the linear relationship indicate that financial development is a mitigating effect on income inequality. These results support the inequality-narrowing hypothesis. The non-linear relationship results show that financial development first increases income inequality but after financial development reaches a certain level, this effect is reversed and financial development reduces income inequality. These results support the Greenwood-Jovanovic hypothesis. All the results strongly suggest that financial development is a mitigating or improving effect on income inequality over the long-run.

Investigating the interlinkages between infrastructure development, poverty and rural–urban income inequality

2017 ◽  
Vol 34 (4) ◽  
pp. 466-484 ◽  
Author(s):  
Varun Chotia ◽  
N.V.M. Rao
Keyword(s):  
Economic Growth ◽  
Income Inequality ◽  
Poverty Reduction ◽  
Ordinary Least Squares ◽  
Infrastructure Development ◽  
Content Type ◽  
Long Run ◽  
Integration Test ◽  
Urban Income ◽  
The Relationship

Purpose The purpose of this paper is to investigate the relationship between infrastructure development, rural–urban income inequality and poverty for BRICS economies. Design/methodology/approach Pedroni’s panel co-integration test and panel dynamic ordinary least squares (PDOLS) have been used to carry out the analysis. Findings The empirical findings confirm a long-run relationship among infrastructure development, poverty and rural–urban inequality. The PDOLS results suggest that both infrastructure development and economic growth lead to poverty reduction in BRICS. However, rural–urban income inequality aggravates poverty in these nations. The paper advocates for adopting policies aimed at strengthening infrastructure and achieving economic growth to reduce the current levels of poverty prevailing in the BRICS nations. Originality/value Significant limitations exist in the literature in terms of not clearly defining the nature of relationship and interlinkages between infrastructure development, poverty and inequality, with regard to the BRICS nations. The available studies mainly focus on the relationship between infrastructure and growth, with the universal agreement being that these two are positively related. However, it is still not right to assume that economic growth attributable to infrastructure development will, therefore, subsequently lead to a reduction in inequality. This forms the basis for this study, that is, to critically examine the relationship between infrastructure development, inequality and poverty for BRICS nations.

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