Compilation of Abstracts http://ir.lib.seu.ac.lk/handle/123456789/6637 2026-04-27T17:06:26Z 2026-04-27T17:06:26Z http://ir.lib.seu.ac.lk/handle/123456789/6677 2023-04-28T03:36:56Z 2022-01-01T00:00:00Z

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2022-01-01T00:00:00Z http://ir.lib.seu.ac.lk/handle/123456789/6676 2023-04-28T03:36:19Z 2022-01-01T00:00:00Z

Contents

2022-01-01T00:00:00Z Rifna, M. F. http://ir.lib.seu.ac.lk/handle/123456789/6675 2023-04-28T03:35:33Z 2022-01-01T00:00:00Z

The effects of age structure on economic growth: a study in Sri Lanka (1970-2020) Rifna, M. F. The age structure and its effects on the economy are one of the major concerns of both developed and developing countries in the world to get the maximum contribution from every person to the economy toward economic growth and economic development because humans are the resources with skills, knowledge, and special capabilities, and they are the resources driving and handling all other resources on the earth to fulfill human wants and needs. The purpose of this study is to determine how people of various ages affect Sri Lanka's economic growth from 1970 to 2020. Data for this study were collected from the online databases of the Central Bank of Sri Lanka, World Bank, and United Nations. The study considered gross domestic product as the dependent variable, as well as the youth population, prime-working-age population, middle-aged population, aged population, investment, inflation rate, and general government final consumption expenditure as the independent variables. And Views: 10 econometrics programs were used by the researcher to analyze the data. Both Augmented-Dickey Fuller and Phillips Perron unit root tests were done on the variables to check the stationarity of the variables. Johansen Cointegration Test was employed to identify the longrun relationship, and the Vector Error Correction Model was used to find out the short-run relationship and long-run adjustment. Further, the Granger Causality Test and diagnostic tests have also been considered for the study. According to the results of the Johansen Cointegration Test, the prime working-age population (25–49) does not affect economic growth in the long run, the youth population (15–24) has a significantly positive effect on economic growth, and both the middle-aged population (50–64) and the aged population (65 and above) have a significantly negative effect on the economy. Based on the results of the VEC model, there is no short-run relationship between the age structure variables and economic growth. Therefore, this study suggests that the reforms and policies undertaken by the government should prioritize increasing productivity from the various age cohorts and expanding government expenditures on human capital.

2022-01-01T00:00:00Z Vithursa, M. http://ir.lib.seu.ac.lk/handle/123456789/6674 2023-04-28T03:31:21Z 2022-01-01T00:00:00Z

The impact of government expenditure on economic growth: a study based on Sri Lanka (1977-2020) Vithursa, M. The government earns revenue through various activities. It spends such income to achieve various goals for the economy. Such expenditures are connected to the economy directly and indirectly. Accordingly, this study investigates the impact of government expenditure on the economic growth of Sri Lanka, incorporating annual data from 1977 to 2020. In this study, economic growth has been used as a dependent variable, and health expenditure, education expenditure, transport expenditure for imports, household, and nonprofit institutions serving households (NPISH) final consumption expenditure are used as independent variables. Data were collected through the annual report of the Central Bank of Sri Lanka, and World Bank. E-View 10 and Excel 2013 were used to analyze the data. This study found that there is a positive relationship between the transport expenditure for import, household, and NPISH final consumption and economic growth. Education expenditure has a negative relationship with economic growth in the long run. The error correction model discovered that import transportation expenditure has a short-run relationship with economic growth. Further, there is bidirectional causality between transport expenditure for imports and economic growth, according to the Granger causality test. Hence, based on the findings, it can be observed that government expenditures impact economic growth. Therefore, this study recommends that provide employment opportunities for individuals with the educational qualifications to control the negative impact of education expenditure on economic growth. Reduce the brain drain and improve the education standards in Sri Lanka in the long run.

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