scholarly journals A Study of Impact of Tourism Direct Employment Trends on Tourism Arrivals: An Empirical Analysis of Sri Lankan Context

2019 ◽  
Vol 12 (3) ◽  
pp. 62
Author(s):  
AMM. Mustafa

Sri Lanka is one of the major tourist attraction destinations in South Asian region. After the economic reforms in 1977, the successive governments implemented various attractive policies and programmes to promote tourism in pursuing economic growth and development. The government further employed a number of initiatives to encourage and attract tourism arrival in the country. In this backdrop, this study is to analyze the impacts of the tourism direct employment trend on tourism arrivals in Sri Lankan context by using the time series data from year 1978 to 2017. The dependent variable used in this study is tourism arrivals. The independent variables are tourism direct employment and tourism Earnings. The tools used to achieve the objective of this study are Correlation Analysis, Multiple Regression, and Residual test. In this study, it is found that the correlation relationship between the variables is very strong. tourism direct employment and Tourism Earnings are directly related with tourists’ arrivals. The data collected have analyzed by using the econometrics software EViews 10. Based on the result recommended that to increase the magnitude of the direction tourism arrival in Sri Lanka, the factors such tourism direct employment and tourism Earnings should play statistically significant roles. This significant role should be considered by the relent authorities in Sri Lanka.

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.


Author(s):  
Sushanta Kumar Tarai ◽  
Prof. Sudhakar Patra

This present research aims to analyze the total FDI inflow, outflow and net FDI of five South Asian countries over the period 1992–2019.This study is based on 28years Time series data taken from the World Bank Development Indicators. In order to compare the FDI inflow, outflow and net FDI inflow of India, Pakistan, Sri Lanka, Bangladesh, Nepal over the period 1992–2019,both descriptive and inferential statistical tools such as correlation test, paired t test, the familiar linear regression model, Granger-Causality test, percentage analysis and tables, are used for analysis, hypothesis testing and interpretation of data. This study used various secondary data. Economic development of the developing countries like India, Pakistan, Sri Lanka, Bangladesh, and Nepal largely rely on FDI. However, the study also reveals that in the last two decades, India received 23 times more FDI than Bangladesh, Pakistan, Sri Lanka and Nepal. For attracting more FDI, these nations require to create more congenial and favorable atmosphere towards the foreign investors. It is also concluded that the after implementing make in India campaign investing countries in total FDI inflow are increased. KEYWORDS: FDI inflow, FDI outflow, GDP growth.


2017 ◽  
Vol 18 (1) ◽  
pp. 30
Author(s):  
Riwi Sumantyo ◽  
Puji Lestari

The study on the effect of fuel subsidies toward oil import is a controversial topicdiscussions. This study will explore the effect of fuel subsidies on oil import by addingseveral independent variables, consist of; the number of vehichles, the exchange rateand inflation. Data use time series data from 1980-2013. The tool of analyze is OrdinaryLeast Squares Method (OLS).Based on the results show that the simultaneous testexplains that the fuel subsidies, the number of vehichles, the exchange rate, and inflationhave a significant effect on oil import. However partially, the variables of fuel subsidies,the number of vehichles, and the exchange rate have a positive and significant effecton oil import. Inflation does not affect on oil import. The coefficient of determinationuses Adjusted R-square test is about 98%. The implication of this study is governmentscan increase oil production Indonesia. The government should facilitate the licensing ofinvestment and rejuvenate the old oil wells. It aims to reduce Indonesia dependence onoil import so that it can save foreign exchange reserves.


Author(s):  
A.L.M. Aslam

Economists argue that the money supply positively impact on economic growth of nations. In Sri Lankan context this statement was not tested econometrically. Therefore, the aim of this study was to scrutinize the impact of money supply on Sri Lankan economy. To exam this objective, this study considered the time series data from the period of 1959 to 2013 and used two types of variables such as dependent and independent variables. Here, the gross domestic product was considered as dependent variable, and Money supply, Exchange rate, Exports earnings, Imports outflow, the Colombo consumer price index were deemed as independent variables. In the meantime, the multivariate econometric method was used to test the impacts of money supply on economic growth of Sri Lanka. According to the analytical results, the money supply has kept positive impact on the economic growth of Sri Lanka at 1% significant level. The R-squared of the estimated model was 92% which was indicated that the estimated model was desirable. Meanwhile, the Durbin Watson test statistic was 2.43 and also the Breusch –Godfrey serial correlation LM test results was greater than 5%. Therefore, these statistics indicated that, the estimated model was not suffering from serial correlation.


2018 ◽  
Vol 10 (3) ◽  
pp. 1348-1354
Author(s):  
Pivithuru Janak Kumarasinghe ◽  
Anuraj Wickramasinghe

Economists are torn between basically three schools of thoughts where the first theory states that the population growth will stimulate the economic growth of a country and other believes that the population growth will bring detrimental or adverse impact to the economic growth. Not only that, but there is another school of thought, which believes that the population growth is a neutral factor in economic growth. Given this diverse of opinions, through this study it is expected to established a firm relationship between the population growth and the economic growth of Sri Lanka. This study developed an econometric model using time series data from 1980 to 2015 and tested the relationship not only the GDP of Sri Lanka, but other significant variables of an economy such as Domestic Savings, Private consumption and Total Investment as well.  The results of this study indicate absence of a long term relationship between the population growth and the GDP of Sri Lanka and there will be no any relationship between the other selected variables and the population growth of Sri Lanka. The Granger Causality Analysis found out a unidirectional relationship between the GDP and the population growth, running from population growth to GDP. The study concludes that in Sri Lankan context, the population growth will not have any significant impact on the economic growth.


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.


2020 ◽  
Vol 19 (6) ◽  
pp. 1015-1034
Author(s):  
O.Yu. Patrakeeva

Subject. The paper considers national projects in the field of transport infrastructure, i.e. Safe and High-quality Roads and Comprehensive Plan for Modernization and Expansion of Trunk Infrastructure, and the specifics of their implementation in the Rostov Oblast. Objectives. The aim is to conduct a statistical assessment of the impact of transport infrastructure on the region’s economic performance and define prospects for and risks of the implementation of national infrastructure projects in conditions of a shrinking economy. Methods. I use available statistics and apply methods and approaches with time-series data, namely stationarity and cointegration tests, vector autoregression models. Results. The level of economic development has an impact on transport infrastructure in the short run. However, the mutual influence has not been statistically confirmed. The paper revealed that investments in the sphere of transport reduce risk of accidents on the roads of the Rostov Oblast. Improving the quality of roads with high traffic flow by reducing investments in the maintenance of subsidiary roads enables to decrease accident rate on the whole. Conclusions. In conditions of economy shrinking caused by the complex epidemiological situation and measures aimed at minimizing the spread of coronavirus, it is crucial to create a solid foundation for further economic recovery. At the government level, it is decided to continue implementing national projects as significant tools for recovery growth.


2013 ◽  
Vol 19 (69) ◽  
pp. 55-76
Author(s):  
Boženko Đevoić

ABSTRACT This article gives an overview of the 26 year long ethnic conflict in Sri Lanka and examines physical reconstruction and economic development as measures of conflict prevention and postconflict reconstruction. During the years of conflict, the Sri Lankan government performed some conflict prevention measures, but most of them caused counter effects, such as the attempt to provide “demilitarization”, which actually increased militarization on both sides, and “political power sharing” that was never honestly executed. Efforts in post-conflict physical reconstruction and economic development, especially after 2009, demonstrate their positive capacity as well as their conflict sensitivity. Although the Sri Lankan government initially had to be forced by international donors to include conflict sensitivity in its projects, more recently this has changed. The government now practices more conflict sensitivity in its planning and execution of physical reconstruction and economic development projects without external pressure.


2020 ◽  
Vol 6 (1) ◽  
Author(s):  
Mohammad Naim Azimi ◽  
Mohammad Musa Shafiq

AbstractThis paper examines the causal relationship between governance indicators and economic growth in Afghanistan. We use a set of quarterly time series data from 2003Q1 to 2018Q4 to test our hypothesis. Following Toda and Yamamoto’s (J Econom 66(1–2):225–250, 1995. 10.1016/0304-4076(94)01616-8) vector autoregressive model and the modified Wald test, our empirical results show a unidirectional causality between the government effectiveness, rule of law, and the economic growth. Our findings exhibit significant causal relationships running from economic growth to the eradication of corruption, the establishment of the rule of law, quality of regulatory measures, government effectiveness, and political stability. More interestingly, we support the significant multidimensional causality hypothesis among the governance indicators. Overall, our findings not only reveal causality between economic growth and governance indicators, but they also show interdependencies among the governance indicators.


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