scholarly journals Exploring the relationships between socio-economic indicators and student enrollment in higher education institutions of Pakistan

PLoS ONE ◽  
2021 ◽  
Vol 16 (12) ◽  
pp. e0261577
Author(s):  
Syeda Mubashira Batool ◽  
Zhimin Liu
Keyword(s):  
Higher Education ◽  
Human Capital ◽  
Unemployment Rate ◽  
Government Expenditure ◽  
Principal Component ◽  
Economic Indicators ◽  
Student Enrollment ◽  
Productive Capacity ◽  
General Government ◽  
The Impact

Higher education is considered as the engine of the economic development of a country due to its role in cultivating human capital. The provision of higher education is regarded as a productive investment in human capital for improving nation’s productive capacity. However, there is a large gap in enrollment between students of different socioeconomic statuses. The ever-widening socio-economic inequalities between individuals from disadvantaged and advantaged backgrounds make the government’s efforts to enroll a higher number of students to pursue higher education challenging in developing countries, as the students’ socioeconomic status plays a decisive role in their priority to attain higher education. This study anticipated quantifying the impact of socio-economic indicators and underlying situations on students’ enrollment in higher education in Pakistan. A descriptive study, involving correlation, principal component analysis (PCA), clustering, and stepwise regression using 15-years data of enrollment and socio-economic indicators was conducted. The correlation between different socio-economic indicators and students’ enrollment was positive and highly significant (0.73 to 0.99), except for the unemployment rate (- 0.39 to -0.57). PCA showed that the first two components were the most influential with 93.85% of the total variation. Enrollment (total and male) showed significant relationships with general government expenditure and unemployment rate, while female enrollment showed a significant relationship with general government expenditure. Findings revealed that socio-economic factors can serve as a significant predictor of students’ enrollment in higher education. The minimum values of correlation coefficient (R) and adjusted R2 for enrollment were ranged from 0.875 to 0.748 (female enrollment), while maximum values (0.987 to 0.993 and 0.973 to 0.983), respectively were observed for total enrollment. The findings will assist educationists, social scientists, and policymakers to better understand the association between socio-economic indicators and student enrollment in higher education for formulating future education policies for enhancing enrollment in higher education.

scholarly journals Economic Growth of Asia Pacific Countries

2018 ◽  
Vol 2 (1) ◽  
pp. 52-60
Author(s):  
Nabaz T. Khayyat ◽  
Sherwan Kafoor
Keyword(s):  
Economic Growth ◽  
Human Capital ◽  
Trade Openness ◽  
Government Expenditure ◽  
Asia Pacific ◽  
Tax Rate ◽  
Education And Health ◽  
Fixed Capital Formation ◽  
Main Driver ◽  
The Impact

This empirical study examines the determinant of economic growth among Asia Pacific countries. While many other studies focused on specific economies with particular determinants identified from previous studies, this study expands the boundaries of countries to examine different factors that are expected to affect the economic growth in Asia Pacific countries. Estimation results of this study are based on the analysis of a panel data for the period 1994–2011. The impact of total population, industry share of GNI, interest rate, gross fixed capital formation, and tax rate are statistically examined to be strongly significant for the whole sample. In the case of government expenditure and trade openness, they are examined to be significant to some degree. Finally, though human capital is expected to be the main driver of economic growth, the result from correlation analysis revealed that there is a high correlation between expenditure on education and health. To show the impact of human capital on economic growth in Asia Pacific countries, estimation with years of schooling may enhance the study instead of using expenditure on education and health.

scholarly journals Analysis of the Impact Fiscal Fundamentals on Unemployment in Nigeria. Imperatives for Covid 19, Era

2021 ◽  
Vol 04 (05) ◽  
Author(s):  
Patrick Ologbenla ◽  
Keyword(s):  
Unemployment Rate ◽  
Government Expenditure ◽  
Research Work ◽  
Youth Unemployment ◽  
Government Revenue ◽  
Increase Productivity ◽  
Employment Generation ◽  
The Impact ◽  
The Relationship

The study examined the impact of fiscal fundamental on unemployment rate in Nigeria from 1980 to 2020 focusing on COVID-19 imperatives. The research work embraces OLS estimating techniques to estimate the relationship between the variables. The result of the analysis revealed that government expenditure had positive and significant effect on the rate of unemployment. Also government revenue had a positive but insignificant impact on unemployment during. The implication of these findings for COVID-19 is that the narrative which is obtained from the analysis needs to be changed. Government revenue should be made to have significant impact on unemployment. The pandemic has led to a lot of job lost and the unemployment rate in Nigeria has risen by about 55% peaking at 36% youth unemployment rate as at last quarter of 2020. The study therefore, recommends that government should refocus expenditure and revenue in the country in such a way it will target development of infrastructural facilities so as to increase productivity and in turn facilitate employment generation.

scholarly journals The Impact of New Technologies and Human Capital on the Contribution of New Ways to the Economy of the Regions of the Northwest Federal District

2017 ◽  
Vol 5 (2) ◽  
pp. 43-45 ◽  
Author(s):  
Басовская ◽  
Elena Basovskaya ◽  
Басовский ◽  
Leonid Basovskiy
Keyword(s):  
Higher Education ◽  
Human Capital ◽  
New Technologies ◽  
Federal District ◽  
Komi Republic ◽  
Per Capita Gdp ◽  
Fixed Assets ◽  
Pskov Region ◽  
Per Capita ◽  
The Impact

Econometric impact assessments of new technologies and human capital on a contribution of new technological ways to per capita GDP in regions of Northwest Federal District of Russia are received. Coefficients of elasticity of a contribution of new ways to per capita GDP on use of the new technologies estimated by armament the work equity new fixed assets and for use of the human capital estimated by a share of busy workers with the higher education are estimated. The use of new technologies is the most effective in St. Petersburg, in the Murmansk, Leningrad regions and in the Komi Republic. Efficiency use of new technologies in the Pskov region is the lowest. The human capital is most effectively in the Komi Republic, the Murmansk and Leningrad regions. Efficiency use of a human capital in the Pskov region is the lowest.

scholarly journals Intangible Assets and Economic Growth in Nigeria: An Empirical Investigation

2021 ◽  
pp. 74-84
Author(s):  
Okumoko Tubo Pearce ◽  
Cookey Ibeinmo Friday ◽  
Question Emomotimi Mcdonald
Keyword(s):  
Economic Growth ◽  
Human Capital ◽  
Intellectual Property ◽  
Intellectual Capital ◽  
Significant Relationship ◽  
Service Sector ◽  
Intangible Assets ◽  
Government Expenditure ◽  
Series Data ◽  
The Impact

This work examines the impact of intangible assets on economic growth in Nigeria, using time series data from 1990 to 2019. Relevant theoretical and empirical literatures were reviewed. Government expenditure on research and development, intellectual capital proxied by human capital stock, intellectual property and service sector employment were regressed as independent variables against the real GDP (proxy for economic growth) as the dependent variable. Secondary data were used for this work. The ARDL bound test was adopted in estimating the model. We discovered that government expenditure on R&D, intellectual capital and intellectual property do not have significant relationship with economic growth proxied by RGDP; meanwhile service sector employment had a significant relationship with economic growth in Nigeria. Also, government expenditure on R&D; and service sector employment were rightly signed; while intellectual capital and intellectual property were not rightly signed. This implies that when government increases its expenditure on R&D, it will result to economic growth, so also service sector employment in the long-run. Meanwhile, an increase in intellectual capital and intellectual property will reduce RGDP. We therefore propose that government should upgrade its spending on R&D so as to boost intellectual capital and property. The government should also create employment for the stock of human capital. Finally, government institutions such as producers’ protection agencies should be empowered to protect intellectual properties in Nigeria.

The impact of higher education on employment in the labour market: Lithuanian case

2019 ◽  
Vol 9 (1) ◽  
pp. 56-64
Author(s):  
Dalia Bernatonyte ◽  
Jadvyga Ciburiene ◽  
Zaneta Simanaviciene ◽  
Grazina Startiene
Keyword(s):  
Higher Education ◽  
Labour Market ◽  
Unemployment Rate ◽  
Labour Productivity ◽  
Analysis And Synthesis ◽  
Education And Employment ◽  
Keywords Education ◽  
Impact Of Higher Education ◽  
The Impact ◽  
The Eu

This study aims to investigate the employment of higher education in Lithuanian labour market between 2005 and 2014. Today, this problem is relevant to Lithuania, as level of high school graduates employment is changing yearly. The purpose of the research is to evaluate the impact of higher education on employment in Lithuanian labour market. Seeking to define the impact of higher education on employment in Lithuanian labour market, analysis and synthesis of scientific literature about the influence of education on the labour market; systematic statistical data analysis of Lithuanian education and employment and unemployment rate are presented. In order to compare the impact of Lithuanian higher education on employment rate, unemployment rate and real labour productivity with other countries of the EU-28, the correlation analysis are used. Results indicate that education attainment has influence on employment and unemployment level in Lithuanian labour market and relationship between higher education and employment, unemployment and real labour productivity are dominated in all the EU-28 countries.   Keywords: education; higher education; employment;  unemployment; labour productivity.

scholarly journals The impact of higher education on entrepreneurial intention and human capital

2018 ◽  
Vol 19 (1) ◽  
pp. 135-156 ◽  
Author(s):  
Renato Passaro ◽  
Ivana Quinto ◽  
Antonio Thomas
Keyword(s):  
Higher Education ◽  
Human Capital ◽  
Structural Equation ◽  
Entrepreneurial Intention ◽  
Entrepreneurial Process ◽  
Policy Makers ◽  
Content Type ◽  
Two Samples ◽  
Impact Of Higher Education ◽  
The Impact

Purpose The purpose of this paper is to investigate the impact of higher education on the emergence of entrepreneurial intention (EI) and human capital (HC) as a component of intellectual capital (IC) that strongly influences the entrepreneurial process. Design/methodology/approach On the basis of a literature review, a theoretical model that is focused on the theory of planned behaviour was defined to verify the impact of higher education on the development of EI and HC. To this end, the structural equation modelling methodology was applied to two samples of students and academics, which differ each other in terms of both education level and specific characteristics of entrepreneurship education activities. Findings The main results show that there are significant differences between the two considered samples. In particular, the level and specific characteristics of entrepreneurial education are the key factors for the development of EI and HC. Practical implications The research may be of relevance for universities and policy makers. Universities must devote more attention to training and practice-oriented entrepreneurial courses and collateral activities (projects, initiatives, actions), both for students (first mission) and academic aspiring entrepreneurs (third mission) to encourage the emergence of EI and HC formation. For policy makers, this study suggests the need to define policy guidelines and frameworks to support universities’ educational programmes and activities to strengthen the entrepreneurial process, so that they can be consistent with the EU and national entrepreneurship policies. Originality/value This explorative research intends to contribute to the scientific debate by filling the knowledge gap that is due to the very limited number of studies that analyse whether and how EI can mediate the relationship between higher education and HC as an IC component.

scholarly journals Getting a Barista Job: Adjudicating the Impact of Human Capital, Social Capital, Age and Gender

2020 ◽  
Vol 4 (3) ◽  
pp. 139-152
Author(s):  
Ed Collom
Keyword(s):  
Higher Education ◽  
Social Capital ◽  
Human Capital ◽  
Educational Attainment ◽  
High Status ◽  
Capital Social ◽  
Age And Gender ◽  
Entry Level ◽  
And Gender ◽  
The Impact

This study concerns the role of human capital, social capital, age, and gender in acquiring a job as an entry-level barista. Employment records were coded and analyzed in order to identify the key factors differentiating this applicant pool. The results from multivariate models produce fewer positive associations between human capital and social capital indicators than the literature suggests. Those with greater educational attainment are more likely to have high-status references on their applications. As seen in previous literature, the social capital of applicants is not very relevant in acquiring this entry-level job. Overall, educational attainment was most salient in increasing the odds of being interviewed and hired. The managers responsible for these decisions appear to favor formal higher education over work experience or references. The findings are discussed vis-à-vis women’s gains in higher education, the growth of the service sector, and the aging of the U.S. population.

scholarly journals Analysis of inflation management model factors as regards supply and demand

Ekonomika ◽  
2016 ◽  
Vol 95 (1) ◽  
pp. 43-63
Author(s):  
Dainius Butautas
Keyword(s):  
Human Capital ◽  
Content Analysis ◽  
Regression Models ◽  
Supply And Demand ◽  
Labour Productivity ◽  
Pair Correlation ◽  
Government Expenditure ◽  
Demand And Supply ◽  
General Government ◽  
Linear Correlation Analysis

This article analyses the demand and supply aspects of the determinants of CPI inflation in Lithuania in 1998–2008. Content analysis was used to identify and group significant demand and supply inflation factors and using RGT, objectively assess and generalize the results. Pair linear correlation analysis confirmed the significance for CPI inflation of the factors identified through content analysis, and both research methods reliably and effectively helped to identify factors for regression models of inflation. Content analysis revealed that the causes of inflation most often mentioned and traditionally regarded as significant in the economic literature are factors such as money and wages, capital, competition and monopolies, and so on. Pair correlation research showed the significance for inflation of supply and demand factors such as income distribution, income levels, taxes, saving, human capital and labour productivity as well as exports and imports – things which content analysis gave only average or little mention. Regression models confirmed and helped to concretize the significance for inflation of the identified demand and supply factors. The results of the research show that inconsistent monetary and general government expenditure policies reinforce private consumption and capital shocks. Note that human capital and employment, which changed little during the analysed period, did not show the large significance for inflation that they are commonly thought to have.

scholarly journals Selected macroeconomic determinants and economic growth in Cameroon (1970–2018) “dead or alive” an ARDL approach

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Kesuh Jude Thaddeus ◽  
Chi Aloysius Ngong ◽  
Njimukala Moses Nebong ◽  
Akume Daniel Akume ◽  
Jumbo Urie Eleazar ◽  
...  
Keyword(s):  
Economic Growth ◽  
Human Capital ◽  
Foreign Direct Investment ◽  
Direct Investment ◽  
Government Expenditure ◽  
Human Capital Development ◽  
Content Type ◽  
Capital Development ◽  
Macroeconomic Determinants ◽  
The Impact

PurposeThe purpose of this paper is to examine key macroeconomic determinants on Cameroon's economic growth from 1970 to 2018.Design/methodology/approachData were obtained from the World Development Indicators and applied on time series data econometric techniques. The auto-regressive distributed lag (ARDL) bounds model analyzed the data since the variables had different order of integration.FindingsThe results showed long and short runs’ positive and significant connection between economic growth in Cameroon and government expenditure; trade openness, gross capital formation and exchange rate. Human capital development, foreign aid, money supply, inflation and foreign direct investment negatively and significantly affected economic growth in the short and long-runs. Hence, the macroeconomic indicators are not death.Research limitations/implicationsThe present research paper has tried to capture the impact of nine macroeconomic determinants on economic growth such as the government expenditure (LNGOVEXP), human capital development (LNHCD), foreign aids (AID), trade openness (LNTOP), foreign direct investment (LNFDI), gross capital formation (INVEST), broad money (LNM2), official exchange rate (LNEXHRATE) and Inflation (LNINFLA). However, these variables have the tendency to affect each other in a unidirectional or bidirectional manner. Further, the present research paper is unable to capture the impact of other macroeconomic variable due to the unavailability of data.Practical implicationsThe study recommends that Cameroon should use proper planning and strategic policy interventions to achieve higher sustainable economic growth with human capital development, foreign aid, money supply, foreign direct investment and moderate inflation.Social implicationsMacroeconomic indicators, if managed well, increase economic growth.Originality/valueThis paper to the best of the researcher's knowledge presents new background information to both policymakers and researchers on the main macroeconomic determinants using econometric analysis.

scholarly journals The Impact of Educational Technologies in Higher Education

2020 ◽  
Vol 20 ◽  
pp. 155-169
Author(s):  
Goretti Cabaleiro-Cerviño ◽  
Carolina Vera
Keyword(s):  
Higher Education ◽  
Human Capital ◽  
Economic Development ◽  
Educational Technology ◽  
Current Literature ◽  
Graduate School ◽  
Learning Processes ◽  
Educational Technologies ◽  
The Impact ◽  
Technology In Higher Education

The formation of human capital is key to countries’ social, cultural and economic development. The current literature pays considerable attention to the ever-increasing proliferation of technology in the careers of college and graduate school. While the presence of educational technology in higher education offers multiple benefits, its implementation also presents challenges. The literature has considered multiple tools for improving learning processes. The results of such tools vary and are difficult to measure in terms of quality. In this document, we analyze the issues surrounding educational technology in higher education.

Sign in / Sign up

Export Citation Format

Share Document