scholarly journals Impact of National Debt on Economic Growth in Tanzania: 1980-2019

Author(s):  
Lemada Lesamana Lelya ◽  
Deus D. Ngaruko

This paper is based on the study that examined the impact of external and domestic debt on economic growth of Tanzania over the period 1980-2019. The study’s specific objectives were; to examine trends of external and domestic debts from 1980 to 2019, to determine long run relationship between external debt stock and economic growth in Tanzania from 1980 to 2019, and to examine the long run relationship between domestic debt and economic growth in Tanzania from 1980 to 2019. The study used time series data of Tanzania collected from the Bank of Tanzania (BOT), National Bureau of Statistics (NBS) and the World Bank indicators. The study used Vector error correction model (VECM) for estimation of the time series since all the variables’ data were stationary in first difference I (1), and there was cointegration within the variables. To ensure the validity and reliability of the data; the study carried out normality test, multicollinearity, heteroscedasticity, and unit root tests. The empirical findings reveal that both   external and domestic debt significantly affects the economic growth of Tanzania.  The study recommends that the government should promote moderate levels of domestic borrowing which can be sustained as it promotes economic growth if used in productive and efficient avenues. The study further recommends that policymakers should efficiently allocate and develop constraints that will ensure the external borrowing is utilized on more productive and  development expenditures, so that the finance is a source of increase in net investment in the country.

2020 ◽  
Vol 6 (1) ◽  
pp. 273-282
Author(s):  
Majid Hussain Phul ◽  
Muhammad Saleem Rahpoto ◽  
Ghulam Muhammad Mangnejo

This research paper empirically investigates the outcome of Political stability on economic growth (EG) of Pakistan for the period of 1988 to 2018. Political stability (PS), gross fixed capital formation (GFCF), total labor force (TLF) and Inflation (INF) are important explanatory variables. Whereas for model selection GDPr is used as the dependent variable. To check the stationary of time series data Augmented Dickey Fuller (ADF) unit root (UR) test has been used,  and whereas to find out the long run relationship among variables, OLS method has been used. The analysis the impact of PS on EG (EG) in the short run, VAR model has been used. The outcomes show that all the variables (PS, GFCF, TLF and INF) have a significantly positive effect on the EG of Pakistan in the long run period. But the effect of PS on GDP is smaller. Further, in this research we are trying to see the short run relationship between GDP and other explanatory variables. The outcomes show that PS does not have such effect on GDP in the short run analysis. While GFCF, TLF and INF have significantly positive effect on GDP of Pakistan in the short run period.


2021 ◽  
Vol 3 (2) ◽  
pp. 113-120
Author(s):  
Kiran Zahra ◽  
Mudassar Yasin ◽  
Baserat Sultana ◽  
Zulqarnain Haider ◽  
Raheela Khatoon

Education is the most fundamental right in the current situation, and it is an essential element of economic growth. No country can achieve economic development and goals without investing in education. Pakistan’s economic development is possible when education is equal for both men and women, but the government did not give importance to the sector as it deserved. This study investigated the determinants of female higher education in Pakistan and the impact of women's education on the economic growth of Pakistan. This study utilized time-series data from 1991 to 2019. The autoregressive distribution lag (ARDL) model is applied to estimate the impact. The result shows that in Pakistan, education expenditure has no positive effect on female education. In contrast, a positive relationship between female higher education and GDP growth exists, but this relation is not strong in the short run and long run.


Author(s):  
Osaid Nasser Abdaljawwad ◽  
Tamat Sarmidi

This study examines the impact of private sector investment on economic growth in Palestine using quarterly time series data from 1990-2015. Multiple regression and co-integration methods are employed to analyse the data. The objectives of this study are to analyse the trends of private investment and economic growth in Palestine from 1990­-2015 and to examine the impact of private sector investment on economic. Being a time series data, to avoid spurious regression results, the first step is to test for the stationarity of the data by using Augmented Dickey-Fuller unit root test. Then ordinary least square (OLS) regression technique is used to estimate of each independent variable effect on the dependent variable. Test the stationary of the error term is done to test the long run co-integration among variables. The result of stationarity and normality test will reveal that the model is fairly well specified and could be used for policy analysis or not. The co-integration test result will indicate that private sector investment and economic growth have a long run significant effect on one another. The unit root tests, which conducted, confirm that variables are stationary in first difference and the co-integration tests also confirm the existence of long term relationship between the variables. The findings of the study concluded that there exist a short-run and long run relationship between private sector investment and economic growth in Palestine. This study recommends the Palestinian government to promote and encourage both domestic and foreign direct investment. The investment policy should be more transparent, attractive and competitive


2019 ◽  
Vol 12 (2) ◽  
pp. 100 ◽  
Author(s):  
Nianyong Wang ◽  
Muhammad Haroon Shah ◽  
Kishwar Ali ◽  
Shah Abbas ◽  
Sami Ullah

This study empirically analyzes the impact of the financial structure and misery index on economic growth in Pakistan. We adopted Autoregressive-Distributed Lag (ARDL) for a co-integration approach to the data analysis and used time series data from 1989 to 2017. We used GDP as the dependent variable; the Financial Development index (FDI) and misery index as the explanatory variables; and remittances, real interest, and trade openness as the control variables. The empirical results indicate the existence of a long-term relationship among the included variables in the model and the FD index, misery index, interest rate, trade openness, and remittances as the main affecting variables of GDP in the long run. The government needs appropriate reform in the financial sector and external sector in order to achieve a desirable level of economic growth in Pakistan. The misery index is constructed based on unemployment and inflation, which has a negative implication on the economic growth, and the government needs policies to reduce unemployment and inflation.


2020 ◽  
Vol 8 (3) ◽  
pp. 553-561
Author(s):  
Asen Ayange ◽  
Udo Emmanuel Samuel Abner ◽  
Ishaku Prince ◽  
Victor Ndubuaku

Purpose of study: This study examines security expenditure as an economically contributive or a non-contributive expenditure on human capital development and economic growth in Nigeria. Methodology: Adopting the ARDL bounds test and Error Correction Model (ECM) on quarterly time-series data from January 2010-December 2018. Result: The findings and results indicate that security expenditure is economically a contributive expenditure. In the long-run a positive and significant impact on economic growth and human capital development, in the shot-run a negative relationship. The ECM model conveyed the speed of convergence from disequilibrium in the short-run back to long-run equilibrium by 86% quarterly. Implication/Application: The finding and results have critical implications for the government and policymakers, protection of life, properties, economic, and business assets positively stimulate economic growth. A unit increase in government expenditure on human capital development decreases insecurity and increase economic growth. Novelty/Originality of this study: Previous studies conducted globally and in Nigeria reported diverse results on the co-integrating relationship between security expenditure and economic growth, using diverse variables and annualized time series data predominantly. This study differs from the previous studies to adopt quarterly time-series data, the ARDL, and the ECM models as the major techniques of analysis along with a battery of pre-test and diagnostic tests.  


2019 ◽  
Vol 15 (7) ◽  
pp. 174 ◽  
Author(s):  
A. M. M. Mustafa

This study examines the impact of infrastructure on tourism development in Sri Lanka with greater emphasis on road network. The time period used in this study are ranging from year 2005 to year 2017. The annual time series data are analyzed by using statistical package, E-Views 10 after the preliminary calculations by using Microsoft Excel. The unit root of the variables is tested by ADF test to test the stationarity of the time series data used in the model of this study. Co-integration is tested with the use of Engle–Granger. The relationship of causality between the variables is found by test of Granger Causality. The results show that infrastructure has significant short run as well long run positive impact on tourism. Two-way causal relationship is found between tourism sector and infrastructure. Further, this study recommends that the government should play its role in improving the infrastructure facilities to increase tourist’s arrival in Sri Lanka.


2019 ◽  
Vol 64 (3) ◽  
pp. 23-38
Author(s):  
Talknice Saungweme ◽  
Nicholas M. Odhiambo

Abstract This paper contributes to the ongoing debate on the impact of public debt service on economic growth; and it provides an evidence-based approach to public policy formulation in Zimbabwe. The empirical analysis was performed by applying the autoregressive distributed lag (ARDL) technique to annual time-series data from 1970 to 2017. The study findings reveal that the impact of public debt service on economic growth in Zimbabwe is negative in the short run but positive in the long run. The results are suggestive of the existence of a crowding-out effect of public debt service in Zimbabwe in the short run and a crowding-in effect in the long run. In view of these findings, the government should consider fiscal and financial policies that promote a constant supply of long-term finance, long-term fixed investments, and extension of a government securities maturity structure so as to ensure sustainable short- and long-term public debt service expenditures. The study further recommends the strengthening of non-distortionary revenue mobilisation reforms to reduce market distortions and boost domestic investment.


2020 ◽  
Vol 2 (4) ◽  
Author(s):  
Regina Septriani Putri ◽  
Ariusni Ariusni

Abstract : This study examined and analysis the effect of remittances, foreigndirect investment, imports, and economic growth in Indonesia in the long run andshort run. This study using Error Correction Model (ECM) method and using theannual time series data from 1989 to 2018. This study found that: (1) remittancehave an insignificant positive effect on economic growth in the long run and shortrun,(2)foreign direct investment have a significant positive impact on economicgrowth in the long run and short run, (3) import have an insignificant positiveimpact on economic growth both in the long run and short run. To increase theeconomic growth in the future, this study suggests the government to decresingimports of consume goods and increasing the inflow of capital goods, rawmaterial goods, remittances and foreign direct investment.Keyword : Remittance, Foreign Direct Investment, Import, Economic Growth andECM


2019 ◽  
Vol 1 (2) ◽  
pp. p95
Author(s):  
Romanus L. Dimoso (PhD, Economics) ◽  
UTONGA, Dickson (MSc. Economics)

This study explored the causal relationship between exports and economic growth in Tanzania. It analyzed time series data for the period of 1980 to 2015. Economic growth is measured in terms of growth per cent while exports are measured in percentage change of goods and services sold abroad. Econometrics analysis was employed in the due course. Such procedures as testing for the presence of unit root, co-integration and causality were done. Furthermore, the Johansen co-integration and Granger causality tests were employed to examine the long-run relationship among variables. The results of co-integration indicate the existence of one co-integrating equation. The causality test results exhibited causality which runs from economic growth to exports. The results conclude that, in the long run, there is a relationship between exports and economic growth in Tanzania. This study recommends the Government to make efforts to improve exports and eventually, in the long-run, rejuvenating the economy.


2015 ◽  
Vol 4 (2) ◽  
pp. 15-24
Author(s):  
Ntebogang Dinah Moroke ◽  
Molebogeng Manoto

This paper investigated exports, imports and the economic growth nexus in the context of South Africa. The paper sets out to examine if long-run and causal relationships exist between these variables. Quarterly time series data ranging between 1998 and 2013 obtained from the South African Reserve Bank and Quantec databases was employed. Initial data analysis proved that the variables are integrated at their levels. The results further indicated that exports, imports and economic growth are co-integrated, confirming an existence of a long-run equilibrium relationship. Granger causal results were shown running from exports and imports to GDP and from imports to exports, validating export-led and import-led growth hypotheses in South Africa. A significant causality running from imports to exports, suggests that South Africa imported finished goods in excess. If this is not avoided, lots of problems could be caused. A suggestion was made to avoid such problematic issues as they may lead to replaced domestic output and displacement of employees. Another dreadful ramification may be an adverse effect on the economy which may further be experienced in the long-run.


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