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

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.

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.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Oluyemi Theophilus Adeosun ◽  
Isaac Idris Gbadamosi

PurposeThe purpose of this paper is to investigate the impact or contribution of non-oil sectors on economic growth (GDP/capita) of some selected African countries using panel data analysis.Design/methodology/approachThe paper focused on secondary data for the period 1991–2019 for macro parameters, including agriculture, industry, export and service, and GDP/capita received from World Development Indicators (WDI). Panel unit root tests like Levin, Lin and Chu test and Im, Pesaran and Shin test, Johansen co-integration test, Granger causality test and an error correction model were also applied to the data for analysis.FindingsThe study reveals no causality from agriculture to economic growth, which implies most of the African countries (used in this study) have neglected agriculture as a source of economic growth. The industry independent variable was of no effect on these countries’ economic growth, whereas the findings reveal that industry has causality on economic growth. Economic growth has no causality on the industry, which means the industry is not contributing to economic growth. The study also shows no causality from export and service to economic growth, but a causality runs from economic growth to export and service.Originality/valueThe paper examines the contribution of the non-oil sectors to economic growth in selected African countries.


2015 ◽  
Vol 14 (4) ◽  
pp. 363-381 ◽  
Author(s):  
Pramod Kumar Naik ◽  
Puja Padhi

Purpose – The purpose of this study is to empirically examine the impact of stock market development on the economic growth for a panel of 27 emerging economies using annual data over the period from 1995 to 2012. Design/methodology/approach – A second-generation panel unit root test developed by Pesaran (2007) has been used to test the stationary properties of the data series. To achieve the study objectives and to mitigate the endogeneity problem that exists in the given model, the authors use a dynamic panel “system GMM” estimator. The authors also use a heterogeneous panel causality test proposed by Dumitrescu and Hurlin (2012) to examine the direction of causality among the variables. Findings – The empirical findings indicate that stock market development significantly contributes to economic growth. Further, a unidirectional causality running from stock market development to economic growth has been found. This finding is consistent with the supply-leading hypothesis. Besides stock market development, it is also evident that macroeconomic variables, such as investment ratio, trade openness and exchange rates, have significant impact on economic growth. Research limitations/implications – The findings suggest that a well-functioning stock market, a more globalized economy and increasing aggregate investment can potentially foster the economic growth in those emerging economies. Originality/value – Unlike other studies, this study constructs three alternate composite indices along with the individual indicators of stock market development and applies robust panel econometric techniques to establish more reliable results.


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.


2016 ◽  
Vol 43 (2) ◽  
pp. 106-122 ◽  
Author(s):  
Madhu Sehrawat ◽  
A K Giri

Purpose – The purpose of this paper is to examine the relationship between financial sector development and poverty reduction in India using annual data from 1970 to 2012. The paper attempts to answer the critical question: does financial sector development lead to poverty reduction? Design/methodology/approach – Stationarity properties of the series are checked by using Ng-Perron unit root test. The paper uses the Auto Regressive Distributed Lag (ARDL) bound testing approach to co-integration to examine the existence of long-run relationship; error-correction mechanism for the short-run dynamics and Granger non-causality test to test the direction of causality. Findings – The co-integration test confirms a long-run relationship between financial development and poverty reduction for India. The ARDL test results suggest that financial development and economic growth reduces poverty in both long run and short run. The causality test confirms that there is a positive and unidirectional causality running from financial development to poverty reduction. Research limitations/implications – This study implies that poverty in India can be reduced by financial inclusion and financial accessibility to the poor. For a fast growing economy with respect to financial sector development this may have far-reaching implication toward inclusive growth. Originality/value – This paper is the first of its kind to empirically examine the causal relationship between financial sector development and poverty reduction in India using modern econometric techniques.


2015 ◽  
Vol 10 (4) ◽  
pp. 765-780 ◽  
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 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.


Author(s):  
Md. Shakhaowat Hossin ◽  
Md. Shafiul Islam

This article seeks to examine the impact of the Bangladesh’s stock market development on its economic growth from the period of 1989-2012. We have used Johansen Cointegration test to estimate the long-run equilibrium relationship between the variables and the Granger causality test was conducted in order to establish causal relationship, while the model was estimated using the error correction model (ECM). Johansen co-integration test results show that the Bangladesh’s stock market development and economic growth are co-integrated. This indicates that a long run relationship exists between stock market development and economic growth in Bangladesh. The causality test results suggest a unidirectional causality from stock market development to the economic growth. On the other hand, there is no “reverse causation” from economic growth to stock market development. The evidence from this study reveals that the activities in the stock market tend to impact positively on the economy. It is recommended therefore that stock market regulatory authority should therefore address policy issues that are capable of boosting the investors’ confidence through improved policy formulation and creation of awareness.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Rasha Qutb

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.


2017 ◽  
Vol 34 (2) ◽  
pp. 281-298 ◽  
Author(s):  
Ramez Abubakr Badeeb ◽  
Hooi Hooi Lean

Purpose This paper aims to examine the validity of the question of whether oil dependence has a negative impact on the relationship between financial development and economic growth in Yemen. Design/methodology/approach The auto-regressive distributed lag approach for cointegration is used to examine the relationship between financial development and economic growth by capturing the impact of oil dependence on this relationship. The Granger causality test, based on a vector error correction model (VECM) framework, is used to investigate the causal relationships between financial development and economic growth. Findings The most interesting finding is the negative sign of interaction term between financial development and oil dependence, which implies that the positive effect of financial development on economic growth decreases with the increasing oil dependence. The result of the VECM Granger causality test revealed the existence of unidirectional causality running from financial development to economic growth. Research limitations/implications The short sample period and the worry of losing degrees of freedom limited us when including control variables in the model. If the data are available in the future, other control variables can be added. Practical implications The government should reduce the level of oil dependence in Yemen by diversifying the country’s economy. Accelerating the pace and efficiency of the financial sector will bear fruitful returns in this regard. The government could achieve this strategy by playing a more proactive role in encouraging the expansion of credit to enable the financial sector to provide a more efficient intermediary role in mobilizing domestic savings and channeling them to productive investments across various economic sectors. Originality/value This is the first study to examine the impact of oil dependence on the finance-growth nexus in Yemen. A new indicator for oil dependence is also proposed.


2018 ◽  
Vol 57 (2) ◽  
pp. 121-143
Author(s):  
Nasim Shah Shirazi ◽  
Sajid Amin Javed ◽  
Dawood Ashraf

This paper investigates the impact of remittance inflows on economic growth and poverty reduction for seven African countries using annual data from 1992-2010. By using the depth of hunger as a proxy for poverty in a Simultaneous Equation Model (SEM), we find that remittances have statistically significant growth enhancing and poverty reducing impact. Drawing on our estimates, we conclude that financial development level significantly increases the remittances inflows and strengthens poverty alleviating impact of remittances. Results of our study further show a signficant interactive imapct of remittances and finacial develpment on economic growth, suggesting the substitutability between remittance inflows and financial development. We further find that 3 percentage point increase in credit provision to the private sector (financial development) can help eliminate the severe depth of hunger in the region. Remittances, serving an alternative source of private credit, can be effective in this regard. Keywords: Remittance Inflow, Poverty Alleviation, Financial Development, Simultaneous Equation Model


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