Interrelationship among the Sectoral Contributions of Agricultural, Industrial and Service Sectors to Gross Domestic Product [GDP] in Sri Lanka: A Vector Autoregressive (VAR) Analysis

2010 ◽  
Vol 40 (2) ◽  
pp. 549-563
Author(s):  
M.H. Ajantha SISIRA KUMARA ◽  
Wasana S. HANDAPANGODA
Author(s):  
Rachel R. Cheti ◽  
Bahati Ilembo

The objective of the study was to examine the trend of inflation and its key determinants in Tanzania. We used secondary time series data observed annually from January 1970 to 2020 which are inflation rate, GDP, Exchange rate and money supply. The vector autoregressive (VAR) model was employed for modeling. Augmented Dickey-Fuller test (ADF) found that inflation rate, Gross Domestic Product (GDP), exchange rate and Money supply (M3) were initially non-stationary but they became stationary after first differencing so as to proceed with the analysis. Preliminary tests before obtaining vector auto regressive model were carried out before determining the relationship between the variables. Diagnostic test such as serial correlation, heteroscedasticity, stability and normality were also important to evaluate the model assumptions and investigate whether or not there are observations with a large, undue influence on the analysis. We used Granger causality test (GCT) to determine causal- effect relationship between the variables. The results show that, there is a long run relationship between the variables, also the results showed that exchange rate and money supply (M3) both have a positive impact on inflation rate while gross domestic product (GDP) revealed a negative impact on inflation rate. Finally, the forecast of inflation rate for 15 years ahead was performed. The study recommends that the government should pursue both contractionary monetary policy and fiscal policy in order to control inflation in the country.


Author(s):  
Ramona - Mihaela Bâzgan

Abstract The purpose of this paper involved studying the impact of direct taxes and indirect taxes on the economic growth using an econometric Vector Autoregressive model (VAR) based on the statistical data related to Romania over the period of time 2009 (2nd quarter)-2017 (2nd quarter). Fiscal policy system involved a significant impact on the evolution of economic growth in the recent years in Romania, namely the years taken into consideration for this study. The econometric model used three endogenous variables, namely the level of direct taxes as percent of the Gross Domestic Product (%GDP), the level of indirect taxes as percent of the Gross Domestic Product (%GDP) and the economic growth rate over the analysed period of time. According to the econometric model presented in this paper, it was proved that a positive change in the structure of indirect taxes will have a strong positive influence on the economic growth over a medium-term period. On the other hand, economic growth will be negatively influenced in the next period of time after implementing a positive change in the structure of direct taxes, then returning to a positive influence over a medium term period and maintaining that influence in the future time periods.


2018 ◽  
Vol 21 (2) ◽  
pp. 473-489 ◽  
Author(s):  
Pooja Sengupta ◽  
Roma Puri

Foreign direct investment (FDI) inflows have been a trigger for accelerating economic growth in a number of countries. The pattern of FDI flows into India and its neighbourhood has been varied and so has been its impact on the economic growth in each of the countries. Although a lot of research has been carried out to establish causality between FDI and economic growth, the results are sometimes varied and conflicting. This study attempted to study the pattern of FDI into the Indian subcontinent and India’s neighbours, such as Pakistan, Nepal, Bangladesh and Sri Lanka, and explore the causality between FDI and gross domestic product (GDP). The results showed that the different economic policies of the respective countries had a role to play in explaining the difference in the quantum of the flow and there is an association between FDI and GDP, and in all the cases, FDI is instrumental in enhancing the economic growth of the countries included in the study.


Author(s):  
A.L.M. Aslam

Nowadays, policy makers believe that the tourism is a positive tool for economic growth of nations because which helps to economies of countries by several ways. In Sri Lankan experience it was not statistically confirmed. The aim of this study was to test the nexus between the tourism earnings and the gross domestic product in Sri Lanka. To test this nexus this study used time series data during the period of 1970 to 2014, and employed the multiple regressions model. In this study, the gross domestic product in constant price was used as dependant variable and exchange rate, foreign remittance, tourism earning, and inflation rate were considered as independent variables. Based on the regression outcomes, this study found that the tourism positively maintained the nexus on the gross domestic product in Sri Lanka at five percent significant level.


2018 ◽  
Vol 8 (4) ◽  
pp. 45
Author(s):  
Si Thu Han ◽  
Sazzadul Arefin ◽  
Khin Myo Swe

This paper investigates the influence of service sectors on gross domestic product (GDP) in Kazakhstan. The aim of this paper to determine the role of services such as tourism, finance, transportation, labor and technology in Kazakhstan’s economy over 1995-2014. The influence of labor force on GDP is significantly positive while technology has insignificant influence on GDP during the study period. The positive and significant effect of labor force in the case of Kazakhstan is consistent with neoclassical theory.


2014 ◽  
Vol 14 (3) ◽  
pp. 1185-1212 ◽  
Author(s):  
Arusha Cooray

Abstract A recursive system is employed to investigate the indirect effect of out-migration on gross domestic product (GDP) through remittances in South Asia, namely Bangladesh, India, Nepal, Pakistan, and Sri Lanka. Out-migration is further disaggregated by skill level and country of destination (Middle East and other), and their effects on GDP through remittances are examined. The results suggest that migration and remittances have an important significant effect on the GDP of the countries under study. Of the skill categories, the unskilled category has the largest robust indirect effect on GDP. The effects of migration on GDP by country of destination suggest that migration to the Middle East has a robust and significant impact on GDP. There is some evidence of a combination between the altruistic and self-interested motives of migrants’ to remit.


2018 ◽  
Vol 4 (2) ◽  
Author(s):  
V. Muthusamy ◽  
N. J. Dewasiri ◽  
Y. K. B. Weerakoon ◽  
A. A. M. D. Amarasinghe

This study investigates the impact of sectoral distribution of commercial bank credit on economic growth in Sri Lanka based on data from 2005 to 2017. The Auto-regressive Distributed Lag (ARDL) model is used to investigate short and long run impact of sectoral distribution of commercial bank credit on Gross Domestic Product (GDP). The findings of the ARDL Error Correction model indicate that the commercial bank sectoral credit distribution is significantly explaining the short run economic growth. Moreover, ARDL long run form and bounds test shows that there is a long run relation between the variables. The industrial sector has a long run positive relationship with GDP while the other sectors are insignificant in explaining long run economic growth. According to the results, the government can motivate banks to distribute credit facilities to the industry sector to boost GDP in the long-run. This is the first study that discusses the sectoral distribution of commercial bank credit on economic growth of Sri Lanka as per the best of the authors‟ knowledge. Keywords Commercial bank, Credit, Economic growth, Gross Domestic Product


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