The nexus between financial development and trade performance

2019 ◽  
Vol 12 (2) ◽  
pp. 279-291
Author(s):  
Puneet Kumar Arora ◽  
Jaydeep Mukherjee

Purpose This study aims to empirically examine the relationship between financial development and trade performance for the Indian economy through a time-series analysis with annual data over the period 1980-2016. Design/methodology/approach The study uses new econometrics techniques such as unit root tests in the presence of endogenous structural breaks and autoregressive-distributed lag bounds test for the analysis. Findings Empirical results reveal that the level of financial development has a significant positive impact on the exports, imports and trade balance of manufactured goods for the Indian economy. Practical implications The findings suggest that the positive effect of financial development on trade performance is a potential mechanism through which the former may affect overall income and growth rates. It also implies that standalone trade liberalisation policies are insufficient to increase Indian exports. Indian policymakers should, therefore, consider the implications of the next set of financial sector reforms on the country’s trade flows, besides their positive impact on the economic performance. The findings are particularly relevant in the present scenario when the export growth is decelerating and there is a marked slowdown in private credit flows because of the problem of non-performing assets. Originality/value This study is the first of its kind which provides a holistic analysis of the relationship between financial development and trade performance for the Indian economy and also investigates the direction of causality between financial development and international trade by considering the possible presence of multiple endogenous structural breaks in the data. Moreover, in contrast to the available literature, the present study focuses on net exports as a key indicator of trade performance rather than trade openness.

2015 ◽  
Vol 42 (1) ◽  
pp. 64-81 ◽  
Author(s):  
Madhu Sehrawat ◽  
A K Giri

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.


2019 ◽  
Vol 80 (2) ◽  
pp. 231-254 ◽  
Author(s):  
Isiaka Akande Raifu ◽  
Alarudeen Aminu

Purpose The centrality of agricultural sector to the economy, particularly in developing countries, has drawn the attention of researchers to critically examine different factors determining the performance of the sector. Given that massive investment is required to ensure maximum productivity in the sector, one of the factors identified is the issue of financing. However, financing agricultural sector in a poor institutional environment can be depressing. In the light of this, the purpose of this paper is to examine the nexus between financial development and agricultural performance in Nigeria with a view to investigating the role of institutions. Design/methodology/approach The study employed annual data spanning the period from 1981 to 2016. Three indicators of financial development and five institutional variables were used. Besides, for robust analysis, the study also computed an aggregate measure of financial development and institutions using principal component method. Autoregressive distributed lag method of estimation was used to examine the short-run and long-run effects of financial development on agricultural performance in Nigeria. Findings The findings showed that financial development has a positive impact on agricultural performance in Nigeria. However, this positive impact is being undermined by institutional variables. Originality/value To the best of the authors’ knowledge, this is the only study that examines the mediating role of institutional factors such as the rule of law, control of corruption, etc., in the financial development–agricultural performance nexus in Nigeria.


2018 ◽  
Vol 29 (2) ◽  
pp. 368-384 ◽  
Author(s):  
Javaid Ahmad Dar ◽  
Mohammad Asif

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.


2020 ◽  
Vol 3 (4) ◽  
pp. 29-47
Author(s):  
Lamia Jamel

This paper examines empirically the relation between tourism and economic growth in Saudi Arabia. The authors try to justify how tourism contributes to the economic growth of Saudi Arabia. There are applied descriptive statistics, unit root test, VAR model and Granger Causality test as an econometric methodology to examine the connection between tourism and economic growth in Saudi Arabia for the annual data in the period from 1990 to 2018. The main empirical results of the study find out that tourism affects positively the economic growth in Saudi Arabia. Also, there is found a positive nexus among tourism and economic growth. Furthermore, CO2 emissions and financial development impact positively the tourism sector, while trade openness predicts a negative effect on tourism. Additionally, CO2 emissions, financial development, and trade openness have a positive impact on economic growth in Saudi Arabia. Finally, the Granger causality test provides evidence of bidirectional nexus between tourism and economic growth in Saudi Arabia. This paper contributes to the current research by explaining the causal nexus among tourism and economic growth in Saudi Arabia during the period from 1990 to 2018, applying a vector autoregressive model and Granger Causality.


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Simplice Asongu ◽  
Nicholas M. Odhiambo

Purpose This study aims to focus on assessing how improving openness influences carbon dioxide (CO2) emissions in sub-Saharan Africa (SSA). Design/methodology/approach This study focusses on 49 countries in SSA for the period 2000–2018 divided into: 44 countries in SSA for the period 2000–2012; and 49 countries for the period 2006–2018. Openness is measured in terms of trade and foreign direct investment (FDI) inflows. The empirical evidence is based on the generalised method of moments. Findings The following main findings are established. First, enhancing trade openness has a net positive impact on CO2 emissions, while increasing FDI has a net negative impact. Second, the relationship between CO2 emissions and trade is a Kuznets shape, while the nexus between CO2 emissions and FDI inflows is a U-shape. Third, a minimum trade openness (imports plus exports) threshold of 100 (% of gross domestic product (GDP)) and 200 (% of GDP) is beneficial in promoting a green economy for the first and second samples, respectively. Fourth, FDI is beneficial for the green economy below critical masses of 28.571 of net FDI inflows (% of GDP) and 33.333 of net FDI inflows (% of GDP) for first and second samples, respectively. It follows from findings that while FDI can be effectively managed to reduce CO2 emissions, this may not be the case with trade openness because the corresponding thresholds for trade openness are closer to the maximum limit. Originality/value This study complements the extant literature by providing critical masses of trade and FDI that are relevant in promoting the green economy in SSA.


2015 ◽  
Vol 32 (3) ◽  
pp. 340-356 ◽  
Author(s):  
Madhu Sehrawat ◽  
A K Giri

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.


2014 ◽  
Vol 41 (12) ◽  
pp. 1194-1208 ◽  
Author(s):  
Madhu Sehrawat ◽  
A.K. Giri

Purpose – The purpose of this paper is to examine the relationship between financial development indicators and human development in India using annual data from 1980-2012. Design/methodology/approach – The Ng-Perron unit root test is used to check for the order of integration of the variables. The long run relationship and short run dynamics are examined by implementing the ARDL bounds testing approach to co-integration. Granger’s non-causality test and variance decomposition techniques are also used to examine the impact of financial development indicators on human development. Findings – The results confirm a long run relationship among the variables. The results of granger non causality indicate that unidirectional causality runs from financial development indicators to human development index (HDI). The variance decomposition analysis shows that among all the financial indicators, broad money supply (M3) has the largest contribution to changes in human development in India. Research limitations/implications – The present study recommends for appropriate reforms in financial market to attain sustainable human development in India. The findings will be useful for India’s policy makers, in order to maintain the parallel expansion of financial development and human development. Originality/value – This paper is first of its kind to empirically examine the casual relationship between financial development indicators and human capital development proxied by HDI in India by using modern econometric techniques.


2018 ◽  
Vol 43 (4) ◽  
pp. 236-249 ◽  
Author(s):  
Jagadish Prasad Bist ◽  
Nar Bahadur Bista

Executive Summary A healthy financial system is important for the growth process of an economy. It affects growth by influencing the saving, investment and technological innovations. In fact, researchers argue that low-income countries like Nepal need a much more robust and active financial system when compared to the developed world. Therefore, this study examines the relationship between financial development and economic growth using annual time series data for Nepal during the period 1984–2014. Because Nepal has a bank-based economy, the study used credit issued by banking and financial institutions to the private sector as the proxy for financial development. The economic growth has been measured using real gross domestic product (GDP) growth and real GDP per capita growth (constant 2005 US$). The autoregressive distributed lag (ARDL) bounds testing approach is used to investigate the cointegration among variables in the presence of structural breaks. The study used Zivot and Andrews’ (ZA) unit root test in order to find the structural breaks in the variables. The study finds that the structural change in private credit took place in 2007 when the government of Nepal and Maoists (the then rebels) signed a Comprehensive Peace Agreement and the Maoist rebels joined the interim government, which formally ended the 10 years long civil war in Nepal. Similarly, the study observes break points in real GDP growth and per capita growth in 2001 when the Royal Massacre and a state of emergency took place in Nepal. After allowing for structural breaks, the study finds evidence of a cointegration relationship between financial development and economic growth when economic growth is used as the dependent variable. Thus, it can be argued that the long-run causality is unidirectional from financial development to economic growth in Nepal. The estimates of the ARDL approach suggest that financial development has a significant positive impact on economic growth in both long run and short run. However, the estimates show that gross domestic saving, a control variable, has a negative impact on economic growth in Nepal. It clearly indicates that Nepal has long not been able to utilize the savings in the productive sector. The political instability, poor investment policies and securities and hence the lack of foreign investment and lack of technological innovations could be the causes for Nepal not benefiting from the country’s savings. It is also found that trade openness has a negative relationship with economic growth in the long run: possibly the cause of the persistent trade deficit of Nepal with the rest of the world. However, in the short run, the result shows a positive relationship between trade openness and growth. In fact, it is found that the magnitude of the positive impact of trade openness in the short run is higher than the magnitude of its negative impact in the long run. Thus, the policymakers should give more emphasis on trade and investment policies that could reduce the prolonged trade deficit and help the nation in getting long-term benefits from international trade.


2021 ◽  
Vol 3 (1) ◽  
pp. 27-37
Author(s):  
Muhammad Sibt e Ali ◽  
Usman Ullah Khan ◽  
Dil Jan ◽  
Sabiha Parveen

This research investigates the interaction between foreign direct investment (FDI) and financial development (FD) to promote economic growth in Pakistan for the period 1980 - 2017. Using Autoregressive distributed lag (ARDL) bound estimation techniques, the study showed that FDI, trade openness and government expenditures has a significant impact on economic development in Pakistan. More interestingly, it is evident that the interaction effect of FDI and FD has a significant positive impact on economic growth of Pakistan. This research can play an important role in policymaking to boost FDI and FD for the economic prosperity of Pakistan.


2016 ◽  
Vol 11 (4) ◽  
pp. 569-583 ◽  
Author(s):  
Madhu Sehrawat ◽  
A.K. Giri

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.


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