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    <dc:date>2026-04-15T03:56:20Z</dc:date>
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    <title>Cover page</title>
    <link>http://ir.lib.seu.ac.lk/handle/123456789/6677</link>
    <description>Title: Cover page</description>
    <dc:date>2022-01-01T00:00:00Z</dc:date>
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    <title>Contents</title>
    <link>http://ir.lib.seu.ac.lk/handle/123456789/6676</link>
    <description>Title: Contents</description>
    <dc:date>2022-01-01T00:00:00Z</dc:date>
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  <item rdf:about="http://ir.lib.seu.ac.lk/handle/123456789/6675">
    <title>The effects of age structure on economic growth: a study in Sri Lanka (1970-2020)</title>
    <link>http://ir.lib.seu.ac.lk/handle/123456789/6675</link>
    <description>Title: The effects of age structure on economic growth: a study in Sri Lanka (1970-2020)
Authors: Rifna, M. F.
Abstract: The age structure and its effects on the economy are one of the major concerns&#xD;
of both developed and developing countries in the world to get the maximum&#xD;
contribution from every person to the economy toward economic growth and&#xD;
economic development because humans are the resources with skills,&#xD;
knowledge, and special capabilities, and they are the resources driving and&#xD;
handling all other resources on the earth to fulfill human wants and needs. The&#xD;
purpose of this study is to determine how people of various ages affect Sri&#xD;
Lanka's economic growth from 1970 to 2020. Data for this study were&#xD;
collected from the online databases of the Central Bank of Sri Lanka, World&#xD;
Bank, and United Nations. The study considered gross domestic product as&#xD;
the dependent variable, as well as the youth population, prime-working-age&#xD;
population, middle-aged population, aged population, investment, inflation&#xD;
rate, and general government final consumption expenditure as the&#xD;
independent variables. And Views: 10 econometrics programs were used by&#xD;
the researcher to analyze the data. Both Augmented-Dickey Fuller and Phillips&#xD;
Perron unit root tests were done on the variables to check the stationarity of&#xD;
the variables. Johansen Cointegration Test was employed to identify the longrun relationship, and the Vector Error Correction Model was used to find out&#xD;
the short-run relationship and long-run adjustment. Further, the Granger&#xD;
Causality Test and diagnostic tests have also been considered for the study.&#xD;
According to the results of the Johansen Cointegration Test, the prime&#xD;
working-age population (25–49) does not affect economic growth in the long&#xD;
run, the youth population (15–24) has a significantly positive effect on&#xD;
economic growth, and both the middle-aged population (50–64) and the aged&#xD;
population (65 and above) have a significantly negative effect on the economy.&#xD;
Based on the results of the VEC model, there is no short-run relationship&#xD;
between the age structure variables and economic growth. Therefore, this&#xD;
study suggests that the reforms and policies undertaken by the government&#xD;
should prioritize increasing productivity from the various age cohorts and&#xD;
expanding government expenditures on human capital.</description>
    <dc:date>2022-01-01T00:00:00Z</dc:date>
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  <item rdf:about="http://ir.lib.seu.ac.lk/handle/123456789/6674">
    <title>The impact of government expenditure on economic growth: a study based on Sri Lanka (1977-2020)</title>
    <link>http://ir.lib.seu.ac.lk/handle/123456789/6674</link>
    <description>Title: The impact of government expenditure on economic growth: a study based on Sri Lanka (1977-2020)
Authors: Vithursa, M.
Abstract: The government earns revenue through various activities. It spends such&#xD;
income to achieve various goals for the economy. Such expenditures are&#xD;
connected to the economy directly and indirectly. Accordingly, this study&#xD;
investigates the impact of government expenditure on the economic growth of&#xD;
Sri Lanka, incorporating annual data from 1977 to 2020. In this study,&#xD;
economic growth has been used as a dependent variable, and health&#xD;
expenditure, education expenditure, transport expenditure for imports,&#xD;
household, and nonprofit institutions serving households (NPISH) final&#xD;
consumption expenditure are used as independent variables. Data were&#xD;
collected through the annual report of the Central Bank of Sri Lanka, and&#xD;
World Bank. E-View 10 and Excel 2013 were used to analyze the data. This&#xD;
study found that there is a positive relationship between the transport&#xD;
expenditure for import, household, and NPISH final consumption and&#xD;
economic growth. Education expenditure has a negative relationship with&#xD;
economic growth in the long run. The error correction model discovered that&#xD;
import transportation expenditure has a short-run relationship with economic&#xD;
growth. Further, there is bidirectional causality between transport expenditure&#xD;
for imports and economic growth, according to the Granger causality test.&#xD;
Hence, based on the findings, it can be observed that government expenditures&#xD;
impact economic growth. Therefore, this study recommends that provide&#xD;
employment opportunities for individuals with the educational qualifications&#xD;
to control the negative impact of education expenditure on economic growth.&#xD;
Reduce the brain drain and improve the education standards in Sri Lanka in&#xD;
the long run.</description>
    <dc:date>2022-01-01T00:00:00Z</dc:date>
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