Educational expansion and the economic value of education in Vietnam: An instrument-free analysis

Truong, Thu H.; Ogawa, Keiichi; Jean-Baptiste,

doi:10.1016/j.ijedro.2020.100025

Cited by 12 publications

(8 citation statements)

References 28 publications

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“…Виділено найбільш перспективні цифрові інструменти управління процесом освіти, що дозволяють підвищити конкурентоспроможність освітніх закладів. Стаття [12] присвячена розробці комплексу моделей панельних даних, що дозволяють провести оцінку віддачі витрат на освіту.…”

Section: аналіз останніх досліджень і публікаційunclassified

Systems Analysis and Modelling of the Educational Services Market

Guryanova¹,

Panasenko²,

Voznyuk³

2021

ITSSI

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The subject of the research is a set of models of systems analysis of the educational services market. The goal of the work is to develop a set of models of systems analysis of the educational services market in Ukraine, which allow to assess the state of regional market segments; to highlight the segments which are the most sensitive to the reduction of the educational institutions network; to assess the competitiveness of educational services in the foreign market; to determine the most attractive segments of the foreign market. The paper solves the following tasks: models of classification of regions according to the level of development of the education system are developed; models for a comprehensive assessment of the level of development of the education system are proposed, which allow assessing the position of Ukraine in comparison with European countries; models for classifying external market segments by the level of attractiveness for promoting educational services of Ukrainian universities in the context of an export-oriented development model are developed. The following methods are used: systems analysis – to describe the object of research, conceptual approach and a set of tasks to be solved; cluster analysis – for building classification models; taxonomy methods, development level method – to build a rating assessment of Ukraine's position in the educational services market. The following results have been obtained: a grouping of the regions of Ukraine by the level of development of the education system has been developed, the "pivotal" regions for the formation of a network of educational institutions have been identified; a system of rating assessment of countries in the educational services market institutions has been proposed; the most attractive external market segments for the promotion of educational services of universities in Ukraine institutions have been identified. Conclusions: the implementation of the models made it possible to conclude that the composition of the "pivotal" regions for the formation of a network of educational institutions includes such regions as Kyiv, Kharkiv, Odesa, Zaporizhzhia, Lviv, Dnipro regions. Educational services of universities in these regions are in the highest demand, but these regions are also the most vulnerable to the phase of market decline. The analysis of the "substitute" effect made it possible to conclude that Ukraine is characterized by a high rating of the level of development of the education system in comparison with European countries. In the context of the export-oriented development model, external market segments that are attractive for Ukraine have been highlighted.

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Section: аналіз останніх досліджень і публікаційunclassified

Systems Analysis and Modelling of the Educational Services Market

Guryanova¹,

Panasenko²,

Voznyuk³

2021

ITSSI

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“…The positional model assumes that one’s individual position in education distribution is increasingly important in contexts of educational expansion [ 21 ]. Moreover, the propensity of education to function as a positional good varies across countries in relation to the institutional context [ 22 ].…”

Section: Introductionmentioning

confidence: 99%

Predictors of Economic Outcomes among Romanian Youth: The Influence of Education—An Empirical Approach Based on Elastic Net Regression

Zamfir

Davidescu

Mocanu

2022

IJERPH

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Young people have to be provided with opportunities to access prosperous, resilient and fulfilling lives. Investing in education and skills is considered one of the most important ways to support young people’s well-being and to enable them to enjoy good career prospects. Using the framework of human capital theory, we explored the role of education among the factors explaining wage variation among Romanian youth. We built our analysis on micro-data for Romania from the EU Statistics on Income and Living Conditions 2020. In order to identify the most important factors influencing the wage distribution, we employed the elastic net regression approach. Moreover, we considered the phenomenon of expansion of education and ran the analysis by alternately using a traditional measure for education and a relative measure reflecting the theory of education as positional good. We ran the analysis for different cohorts of the population, focusing the discussion on the results for young people. Our findings confirm the importance of education for wage distribution together with other factors of influence, such as gender, degree of urbanization, region, sector of employment and working experience. Our conclusions are relevant for designing more effective educational and social policies to deal with various disadvantages faced by youth in Romania.

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“…Many previous studies have focused on educational expansion (Hardy & Marcotte, 2020;Kuno et al, 2021;Takahashi, 2011;Truong et al, 2021;Valente, 2019) in the contexts of non-formal education participation (Ansong et al, 2018;Asadullah & Maliki, 2018;Dubois et al, 2012;Heymann et al, 2014;Ho et al, 2019). Expanding education is generally considered a major investment in human resources.…”

Section: Introductionmentioning

confidence: 99%

Does the government expenditure on education and family income boost educational expansion? Lesson from panel FMOLS

Khusaini

Ramdani

Syamiya

et al. 2022

REASER

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One of the problems of education development in Indonesia is the slow distribution of education, especially in the regions. Understanding the relationship between government spending on education and family income helps improve education equity in the region and formulate appropriate education policies. The study examines the effects of government expenditure in education, family income, poverty, and control variables on the primary, junior, senior secondary of net enrollment ratio and means years of schooling. This study utilized secondary data from regencies/municipalities in Banten Province over the period from 2000 to 2019. The panel FMOLS model found that family income contributed significantly to increasing the education expansion as measured by net enrollment rate in primary, junior, senior high schools and mean years of schooling for all models. Poverty only affected the net enrollment rate for junior high school, senior high school, and mean years of schooling in the long term. However, the findings regarding the impact of education spending on educational expansion are ambiguous. Furthermore, it depended on the method utilized. This research contributes to providing local government policy input to improve education services through increasing family income, reducing poverty, and providing educational opportunities for the school-age population to obtain equal education services.

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Educational expansion and the economic value of education in Vietnam: An instrument-free analysis

Cited by 12 publications

References 28 publications

Systems Analysis and Modelling of the Educational Services Market

Systems Analysis and Modelling of the Educational Services Market

Predictors of Economic Outcomes among Romanian Youth: The Influence of Education—An Empirical Approach Based on Elastic Net Regression

Does the government expenditure on education and family income boost educational expansion? Lesson from panel FMOLS

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