The asymmetric influence of corruption on financial development: fresh evidence from BRICS economies

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Naif Alsagr ◽  
Stefan van Hemmen
Keyword(s):  
Financial Development ◽  
Content Type ◽  
Distributed Lag ◽  
Long Run ◽  
Corruption Index ◽  
Main Independent Variable ◽  
Short Run ◽  
Asymmetric Impact ◽  
Negative Impacts ◽  
Control Of Corruption

Purpose This paper aims to assess the asymmetric impact of corruption on financial development in BRICS economies context. Design/methodology/approach The authors have adopted the novel panel non-linear autoregressive distributed lag (PNARDL) model of Shin et al. (2014), covering the period 1991–2018. Findings The findings confirm that corruption asymmetrically impacts financial development in BRICS economies. More precisely, long-run negative shocks of the control of corruption index have significant negative impacts on financial development. However, long-run positive shocks of the control of corruption index are insignificant. Moreover, both positive and negative shocks of corruption in short-run results are insignificant. Generally, the findings are robust having carried out several robustness checks and in favor of “sand in the wheels” hypothesis. Originality/value This study makes a novel contribution by developing insight on how corruption asymmetrically impacts financial development. To the best of the authors’ knowledge, this is the first attempt to use the PNARDL, which decompose the main independent variable (corruption) into positive and negative shocks. The PNARDL approach is a dynamic robust estimate that controls for the problem of endogeneity, which is a common phenomenon in such studies. Additionally, it is believed that the findings are important for policy makers, scholars and practitioners. Finally, the authors used the most recent available dataset covering the BRICS context.

The relationship between financial development and economic growth in Eswatini (formerly Swaziland)

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Siphe-okuhle Fakudze ◽  
Asrat Tsegaye ◽  
Kin Sibanda
Keyword(s):  
Economic Growth ◽  
Granger Causality ◽  
Financial Development ◽  
Granger Causality Test ◽  
Causality Test ◽  
Content Type ◽  
Distributed Lag ◽  
Long Run ◽  
Short Run ◽  
The Relationship

PurposeThe paper examined the relationship between financial development and economic growth for the period 1996 to 2018 in Eswatini.Design/methodology/approachThe Autoregressive Distributed Lag bounds test (ARDL) was employed to determine the long-run and short-run dynamics of the link between the variables of interest. The Granger causality test was also performed to establish the direction of causality between financial development and economic growth.FindingsThe ARDL results revealed that there is a long-run relationship between financial development and economic growth. The Granger causality test revealed bidirectional causality between money supply and economic growth, and unidirectional causality running from economic growth to financial development. The results highlight that economic growth exerts a positive and significant influence on financial development, validating the demand following hypothesis in Eswatini.Practical implicationsPolicymakers should formulate policies that aims to engineer more economic growth. The policies should strike a balance between deploying funds necessary to stimulate investment and enhancing productivity in order to enliven economic growth in Eswatini.Originality/valueThe study investigates the finance-growth linkage using time series analysis. It determines the long-run and short-run dynamics of this relationship and examines the Granger causality outcomes.

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.

The capital structure decision of Islamic and conventional banks: empirical evidence from Malaysia

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Moncef Guizani ◽  
Ahdi Noomen Ajmi
Keyword(s):  
Capital Structure ◽  
Decision Criterion ◽  
Content Type ◽  
Leverage Ratio ◽  
Distributed Lag ◽  
Long Run ◽  
Short Run ◽  
Main Determinants ◽  
Conventional Banks ◽  
The Capital Structure

PurposeThe purpose of this paper is to investigate how Islamic banks (IBs) and conventional banks (CBs) in Malaysia choose their capital structure and what are the most significant factors that affect their decisions regarding their capital structure.Design/methodology/approachThis study applies the autoregressive distributed lag (ARDL) approach for a sample of 54 Banks listed on Malaysian stock market over the period 2010–2018.FindingsThe study findings show that the capital structure of IBs appears to be driven by similar factors to those previously found in the corporate finance literature. They also provide evidence of the existence of a long-run and short-run relationship between leverage and its main determinants for Islamic and CBs. However, the results show that various independent variables on the capital structure do exhibit different effects (in magnitude of the coefficient) among Islamic and CBs. Moreover, we find that IBs slowly adjust their capital structure toward the desired leverage ratio than CBs.Research limitations/implicationsThis research contributes to the theory in re-validating capital structure theories on IBs. It helps understand the capital structure of IBs in comparison with CBs. If in conventional finance, the standard presiding decisions of an economic agent is optimizing the risk-return ratio, this standard is not the only or the primary decision criterion in the Islamic finance context where spiritual and theological considerations are taken into consideration.Practical implicationsThis research can contribute to managers in understanding the choice of capital structure for IBs within the bound of Sharia requirement. Such an understanding provides managers with applied knowledge of determining their appropriate capital structure to compete locally and globally in which IBs operate.Originality/valueThis paper offers some insights on the determinants of capital structure by investigating Islamic and CBs. It explores the implication of relevant Islamic principles on capital structure. Moreover, it analyses the determinants of capital structure using ARDL method that permits to identify the short-run and long-run relationships between capital structure and its main determinants.

LPG consumption and economic growth, 1975-2016: evidence from Cameroon

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Jean Gaston Tamba
Keyword(s):  
Economic Growth ◽  
Causal Relationship ◽  
Liquefied Petroleum Gas ◽  
Content Type ◽  
Distributed Lag ◽  
Long Run ◽  
Short Run ◽  
Gas Consumption ◽  
The Government ◽  
Energy Efficiency Policies

Purpose This paper aims to examine the causal relationship between liquefied petroleum gas consumption and economic growth in Cameroon over the period from 1975 to 2016. Design/methodology/approach The methodology of this study is based on the unit root, cointegration and causality tests. Cointegration is performed with both Johansen and autoregressive distributed lag bounds approach, while causality is done with the Granger test based on the error correction model (ECM) and Toda-Yamamoto procedure. Findings The cointegration methods confirm the existence of a level relationship, whereas the causal tests of the ECM reveal the existence of a short-run unidirectional causal relationship ranging from liquefied petroleum gas (LPG) consumption to economic growth and a bidirectional causal relationship between long-term and high-causality variables. With the Toda-Yamamoto procedure, unidirectional causality is found to run from economic growth to liquefied petroleum gas consumption. Research limitations/implications These findings imply that an increase in liquefied petroleum gas consumption leads to an increase in economic growth. As a result, supporting energy efficiency policies that aim to reduce liquefied petroleum gas consumption is not an option for Cameroon. Given that LPG consumption shares are still low in Cameroon, the government ought, thus, to increase LPG subsidization, vulgarize and favor policies aimed at encouraging LPG consumption to increase LPG deposits nationwide. This would help increase LPG consumption and consequently could increase economic growth in Cameroon. Originality/value LPG is a fossil fuel and is the less GHG emitter and it is considered as a modern source of energy for cooking in Cameroon households. It scarcity calls on energy policymakers to question the influence LPG consumption could have on economic growth in the short- and long-run. Thus, this paper could contribute to solving the issue of deforestation in Cameroon, especially in the Sahel zone; through the substitution of firewood consumption by LPG consumption in households.

On productivity differential of export composition: evidence from India

2014 ◽  
Vol 7 (1) ◽  
pp. 38-50
Author(s):  
Avijit Debnath ◽  
Niranjan Roy ◽  
Priyanka Dasgupta ◽  
Nazira Mazumder
Keyword(s):  
Positive Impact ◽  
Secondary Data ◽  
Spillover Effects ◽  
Aggregate Level ◽  
Content Type ◽  
Export Sector ◽  
Distributed Lag ◽  
Long Run ◽  
Short Run ◽  
Export Composition

Purpose – This paper aims to analyse the relationship between exports and non-export gross domestic product (GDP) in the context of Indian economy during 1988-2012. It considers export both at aggregate and disaggregated levels to examine whether export-led growth (ELG) hypothesis is sensitive to types of goods India exports. Design/methodology/approach – The OLS-based autoregressive distributed lag (ARDL) model has been employed to analyse the potential long-run equilibrium relationship. Further, the error correction model within the ARDL framework is applied to examine the short-run and long-run causal relationship between non-export GDP, export and other variables. The study is based on secondary data. Findings – The study indicates that at aggregate level, exports do not have any significant impact on output of non-export sector, and therefore, it is maintained that ELG hypothesis is not valid at aggregate level in India; when the authors disaggregate exports into merchandise and services exports, the latter has been found to have positive spillover effects on non-export sector of the economy. However, the association between merchandise export and non-export GDP is found to be statistically insignificant. When the authors further disaggregated merchandise exports, the authors observed that primary-product export has a negative association with non-export GDP, but export of manufacturing products found to have a significant positive impact on non-export GDP. Finally, export of petroleum product shows a negative long-run association with non-export GDP, but the association is statistically insignificant. Originality/value – It is not the case that India can simply increase its exports per se and be sure of witnessing economic growth, but instead it is the composition and the concentration of these exports that matters.

scholarly journals The relationship between foreign direct investment, financial development and growth economic in Next-11 Countries: a PMG/ARDL estimation

Management ◽  
2021 ◽  
Vol 25 (1) ◽  
pp. 28-50
Author(s):  
Bilal Louail ◽  
Mohamed Salah Zouita
Keyword(s):  
Economic Growth ◽  
Financial Development ◽  
Estimation Method ◽  
Distributed Lag ◽  
Dynamic Relationship ◽  
Distributed Lag Model ◽  
Long Run ◽  
Short Run ◽  
Lag Model ◽  
The Relationship

Summary This study investigates the relationship between FDI, economic growth and financial development in the Next 11 countries. An analysis of the results was performed accordingly on the panel data gathered from the Next 11 countries from 1985 to 2019— using the Pooled Mean Group (PMG) estimation method and the Autoregressive Distributed Lag model approach (ARDL). The results indicate an impact of both economic growth and financial development on the FDI flows to the study of countries during the period between 1985 and 2019 in the long run, while no such proof is affirmed in the short run. This study’s contribution provides a better understanding of the dynamic relationship between FDI, economic growth, and financial development by providing decision-makers to understand the nature of the dynamic association between the study variables. This study provides empirical evidence about the association between inflows of FDI, economic growth and financial development within the context of the Next-11 countries. The previous literature lacks empirical study on the relationship between variables of study for the Next-11 countries.

scholarly journals Financial Development and Economic Growth in Developing Countries

2018 ◽  
Vol 1 (2) ◽  
pp. p94
Author(s):  
Kando Serge Gbagbeu
Keyword(s):  
Economic Growth ◽  
Financial Development ◽  
Cote D'ivoire ◽  
Côte D’Ivoire ◽  
Cote D’Ivoire ◽  
Vector Error Correction ◽  
Distributed Lag ◽  
Côte D'ivoire ◽  
Long Run ◽  
Short Run

In this study, we concern mainly about the short and long-run relationship between economic growth and financial development. We use a multi-steps methodology, namely the Autoregressive Distributed Lag (ARDL) approach and the Vector Error Correction Model (VECM) approach to test this relationship in Côte d’Ivoire from 1980 to 2014. Following our results, we conclude that there is a unidirectional causal relationship, both long run and short run, between GDP per capita and financial development index in Côte d’Ivoire running from economic growth to financial development.

Determinants of environmental degradation in Saudi Arabia: exploring the unexplored

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Muhammad Tahir ◽  
Arshad Hayat ◽  
Umar Burki
Keyword(s):  
Saudi Arabia ◽  
Environmental Degradation ◽  
Time Series Data ◽  
Trade Openness ◽  
Negative Relationship ◽  
Series Data ◽  
Content Type ◽  
Distributed Lag ◽  
Long Run ◽  
Short Run

Purpose Environmental degradation is recognized as a serious problem globally, and hence, Saudi Arabia is no exception. This paper aims to focus on the economy of Saudi Arabia to identify the determinants of environmental degradation. Design/methodology/approach Time series data spanning from 1971 to 2014 is used and analyzed using the recently developed autoregressive distributed lag modeling approach. Findings The obtained results reflected that natural resources, per person income and urbanization, have impacted environmental degradation both positively and significantly in the long run. Similarly, an insignificant negative relationship is established between trade openness and environmental degradation. Moreover, energy consumption has positively but insignificantly affected environmental degradation. In the short run, only per capita income has positively influenced environmental degradation while the rest of the variables have lost either significance levels or their direction of relationship has reversed. Originality/value As this is a pioneering study on the economy of Saudi Arabia, therefore, the authors assume that policymakers will find the findings of the current study very useful while formulating and implementing policies to control environmental degradation.

Financial development and income inequality in India: an application of ARDL approach

2015 ◽  
Vol 42 (1) ◽  
pp. 64-81 ◽  
Author(s):  
Madhu Sehrawat ◽  
A K Giri
Keyword(s):  
Income Inequality ◽  
Financial Development ◽  
Trade Openness ◽  
Development Economic ◽  
Annual Data ◽  
Content Type ◽  
Long Run ◽  
Integration Test ◽  
Short Run ◽  
The Relationship

Purpose – The purpose of this paper is to examine the relationship between financial development and income inequality in India using annual data from 1982-2012. Design/methodology/approach – Stationarity properties of the series are checked by using ADF, DF-GLS, KPSS and Ng- Perron unit root tests. The paper applied the auto regressive distributed lag (ARDL) bound testing approach to co-integration to examine the existence of long run relationship; and error correction mechanism for the short run dynamics. Findings – The co-integration test confirms a long run relationship between financial development and income inequality for India. The ARDL test results suggest that financial development, economic growth, inflation aggravates the income inequality in both long run and short run. However, trade openness reduces the gap between rich and poor in India. Research limitations/implications – The present recommend for appropriate economic and financial reforms focussing on financial inclusion to reduce income inequality in India. Originality/value – Till date, there is hardly any study that makes a clear comparison between market-based indicator and bank based indicator of financial development in India and those examining the relationship between finance and income inequality nexus. Further there is hardly any study to include gini coefficient as a proxy for inequality for India and apply ARDL techniques of co-integration, using the basic principles of GJ hypothesis and provide short run and long run dynamics for India. So the contribution of the paper is to fill these research gaps.

scholarly journals The nexus between tourism demand and output per capita with the relative importance of trade openness and financial development

2016 ◽  
Vol 23 (1) ◽  
pp. 168-186 ◽  
Author(s):  
Muhammad Shahbaz ◽  
Ronald Ravinesh Kumar ◽  
Stanislav Ivanov ◽  
Nanthakumar Loganathan
Keyword(s):  
Financial Development ◽  
Structural Breaks ◽  
Trade Openness ◽  
Tourism Demand ◽  
Distributed Lag ◽  
Long Run ◽  
Short Run ◽  
In Series ◽  
Per Capita ◽  
The Impact

This article revisits the tourism-growth nexus in Malaysia using time series quarterly data over the period 1975–2013. The authors examine the impact of tourism using two separate indicators – tourism receipts per capita and visitor arrivals per capita. Using the augmented Solow production function and the autoregressive distributed lag bounds procedure, they also incorporate trade openness and financial development and account for structural breaks in series. The results show the evidence of cointegration between the variables. Assessing the long-run results using both indicators of tourism demand, it is noted that the elasticity coefficient of tourism is 0.13 and 0.10 when considering visitor arrivals and tourism receipts (in per capita terms), respectively. Notably, the impact of tourism demand is marginally higher with visitor arrivals. The elasticity of trade openness is 0.19, that of financial development is 0.09 and that of capital share is 0.15. In the short run, the coefficient of tourism is marginally negative, and for financial development and trade openness, it is 0.01 and 0.18, respectively. The Granger causality tests show bidirectional causation between tourism and output per capita, financial development and tourism and trade openness and tourism demand, duly indicating the feedback or mutually reinforcing impact between the variables and providing evidence that tourism is central to enhancing the key sectors and the overall income level.

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