scholarly journals IMPACT OF EXPORTS AND IMPORTS ON THE ECONOMIC GROWTH IN BURUNDI

Author(s):  
Wu Jiying ◽  
Niyonsaba Eric ◽  
Blessed Kwasi Adjei

This paper investigated the impact of exports and imports on the economic growth in Burundi. To achieve this purpose, annual data for the periods between 1989 and 2018 were tested. The study used Granger Causality and Johansen Co-integration approach for long-run relationship Using Augmented Dickey-Fuller (ADF) and Phillip-Perron (PP) stationarity test, the variable proved to be integrated of the order I(1) at first difference. Johansen and Juselius Co-integration test was used to determine the presence or otherwise of a co-integrating vector in the variables. To find out the direction of causality among the variables, at least in the short-run, the Pairwise Granger Causality was carried out. Exports were found to Granger Cause imports. The results show that there is unidirectional causality between exports and imports. These results provide evidence that growth in Burundi was propelled by a growth-led import strategy as well as export-led import. Imports are thus seen as the source of economic growth in Burundi. KEYWORDS: Co-integration, Granger causality; Exports; Imports; Economic growth, Burundi.

2017 ◽  
Vol 10 (1) ◽  
pp. 110
Author(s):  
Ali Abdulkadir Ali ◽  
Ali Yassin Sheikh Ali ◽  
Mohamed Saney Dalmar

In this paper the impact of exports and imports on the economic growth of Somalia over the period 1970-1991 was investigated. The study applied econometric methods such as Ordinary Least Squares technique. The Granger Causality and Johansen Co-integration tests were also used for analysing the long term association. By using Augmented Dickey-Fuller (ADF) and Phillip-Perron (PP) stationarity test, the variables proved to be integrated of the order one 1(1) at first difference. Johansen test of co-integration was used to determine if there is a long run association in the variables. To determine the direction of causality among the variables, both in the long and short run, the Pair-wise Granger Causality test was carried out. It was found that economic growth does not Granger Cause Export but was found hat export Granger Cause GDP. So this implies that there is unidirectional causality between exports and economic growth. Also there is bidirectional Granger Causality between import and export. The results show that economic growth in Somalia requires export-led growth strategy as well as export led import. Imports and exports are thus seen as the source of economic growth in Somalia.


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.


2010 ◽  
Vol 27 (1) ◽  
Author(s):  
Tariq Mahmood

This paper highlights the role of higher education for the economic growth inPakistan. We explore the impact of increase in enrolment at tertiary level on thegrowth rate of income per worker. Estimating a growth model developed byMankiv et. al. (1992), using the annual data of Pakistan, we find a robustrelationship between higher education and economic growth in the long run. Themodel has also shown that investment in fixed capital has positive impact oneconomic uplift. Applying Johansen’s cointegration test, we show that the longrun elasticity of income with respect to capital stock is different from its share inGDP, and increase in the enrolment per unit of effective worker helps inbolstering economic growth. But, like earlier literature we also find statisticallyinsignificant relationship between higher education and GDP per worker. Thereare some fundamental reasons concerning to the ambiguous impact of investingin human capital on economic growth, particularly in the short run in case ofPakistan. First, the sharp increase in enrollment, recently, has been damaging thequality of education. Second, the unequal distribution of educational services hasheld back the efficiency of public expenditures, particularly before the reformsundertaken by higher education commission. Third, the low private return ofeducation has limited the demand for higher education in Pakistan for almost fiftyyears.


2016 ◽  
Vol 6 (4) ◽  
pp. 101-116
Author(s):  
Srinivasa Rao Gangadharan ◽  
Lakshmi Padmakumari

This study is an empirical investigation to assess the impact of domestic debt on India’s Economic growth during the period 1980 – 2014. We use data on Domestic Debt, Net Fiscal Deficit, Exports, Savings, Real Gross Domestic Product, Population and Terms of Trade. This study adopts the ARDL Co-Integration and Granger Causality techniques to investigate the relation between the key variables. The study also employs various post estimation tests to validate the fitness and stability of the models based on Gauss Markov assumptions, after employing the ordinary least square regression on various models. We find that debt negatively impacts economic growth while savings has a positive impact. The Auto Regressive Distributed Lag (ARDL) technique used to test the robustness suggests existence of co-integration among the variables. However, none of the long run co-efficient is significant. The granger causality and co-integration test results support the traditional view that debt negatively impacts economic growth.


2014 ◽  
Vol 16 (1) ◽  
pp. 188-205 ◽  
Author(s):  
Qazi Muhammad Adnan Hye ◽  
Wee-Yeap Lau

The main objective of this study is to develop first time trade openness index and use this index to examine the link between trade openness and economic growth in case of India. This study employs a new endogenous growth model for theoretical support, auto-regressive distributive lag model and rolling window regression method in order to determine long run and short run association between trade openness and economic growth. Further granger causality test is used to determine the long run and short run causal direction. The results reveal that human capital and physical capital are positively related to economic growth in the long run. On the other hand, trade openness index negatively impacts on economic growth in the long run. The new evidence is provided by the rolling window regression results i.e. the impact of trade openness index on economic growth is not stable throughout the sample. In the short run trade openness index is positively related to economic growth. The result of granger causality test confirms the validity of trade openness-led growth and human capital-led growth hypothesis in the short run and long run.


2020 ◽  
Author(s):  
Iftikhar Muhammad ◽  
Malik Shahzad Shabbir

Abstract Purpose This study intends to analyze the long-run and short-run relationships along with the identification of causal links between exports, economic growth, and exchange rate in Turkey. Data/Design: This study uses auto-regressive distributed lags (ARDL) and Granger causality over time series monthly data from the year 2010–2018. The results indicate that exports are significantly positively related to economic growth while the exchange rate is found to be negatively related to economic growth. Findings: Moreover, findings from the test of Granger causality indicate that a unidirectional causal association is found from exports to foreign direct investment and economic growth and from economic growth to foreign direct investment. The Granger causality results indicate that an increase in exports accelerates the economic growth of Turkey and a change in growth rate and exchange rate leads to a change in foreign direct investment. Originality of work: The overall findings suggest that exports should be promoted along with the liberal-investment economic policies to boost the overall economic growth in Turkey.


Author(s):  
Lee Kok Fong ◽  
◽  
Mori Kogid ◽  
Jaratin Lily ◽  
◽  
...  

The study examines the relationship between the development of the stock market and economic growth in Malaysia using annual data from 1982 to 2014. The development of the stock market represented three indicators, namely the turnover ratio, the shares value traded ratio and the market capitalization ratio. Augmented Dickey-Fuller stationarity test was carried outprior to the use of a bound test approach for co-integration and causality testing. The findings of the co-integration analysis showed that there is evidence of a long-run relationshipbetween economic growth andthe development of the stock market. Further examination of the causal relationship showed proof of the short-runinteraction between economic growth andthe development of the stock market. These findings may be of importance to policymakers in formulating growth policy and financial decision-making by investors.


2019 ◽  
Vol 11 (2(J)) ◽  
pp. 23-29
Author(s):  
Andreas . ◽  
J P S Sheefeni

The paper examined causality between Private Sector Credit Extension (PSCE) and Economic growth using quarterly data for the period 2000:Q1-2017:Q4, in Namibia. The variables employed were Gross Domestic Product (GDP), Private Sector Credit Extended, Broad Money Supply (M2) and lending rates. The study tested for stationarity in order to determine the order of integration. Furthermore, a co-integration test was conducted on different sets of variables to establish the long run relationship. Granger causality test was also conducted to establish the direction of the relationships between the variables. The results for the stationarity test showed a combination of different orders of integration. The co-integration test revealed a stable long-run relationship among the variables. The Granger causality test results revealed one-directional causality running from PSCE to GDP. Therefore, one can conclude that that change in private sector credit extended can help predict economic growth.


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.


Author(s):  
Peter Ayunku ◽  
Gamaliel O. Eweke

This paper examines the impact of banks credit and macroeconomic dynamics on Small and Medium Scale Enterprises in Nigeria using annual data from 1992 – 2016. The long-run and short-run relationship amongst the variables were examined via the non-linear ARDL model. The Augmented Dickey Fuller (ADF) and Philip Perron’s (PP) test reveals that none of the variables were I(2). The Bounds test to cointegration confirms the existence of a long-run relationship. The non-linear ARDL results suggests that in both long and short-run estimations, that a rise in banks credit, government tax revenue and negative shocks in interest rate, inflation rate and exchange rate will trigger a fall in SMEs performance in Nigeria. Furthermore, it was observed that negative shocks tend to be larger in magnitude than positive ones. This study therefore recommends amongst others, that loans to the small and medium enterprises (SMEs) sector be monitored properly, so as to ensure that such loans are not channelled to other purposes.


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