Assessing the Impact of Education Quality on Economic Growth in OECD and CESEE Countries

N. Nazukova
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引用次数: 2

Abstract

The retrospective data analysis concerning the level of per capita income evidenced that formation of an educated society created the precondition for the growth of labor productivity and economic growth. According to Gelor – Weil theory, in the 19th century, in Western Europe countries, as well as in the “Western outshoots” (the USA, Canada, Australia and New Zealand), there was a change in the attitude towards family planning, which consisted in preferring fewer well–educated children over a large number of uneducated ones. This made it possible to overcome the "Malthus trap" in these countries and enabled rapid rates of economic growth. Today, the total factor productivity of the United States is taken as a benchmark/frontier against which productivity in other countries is measured.  The article presents the results of assessing the impact of the quality of education, expressed by the "Skills" indicator of the Global Competitiveness Report, which characterizes the general level of skills of the labor force, as well as the quantity and quality of education in the country, on its total factor productivity. The assessment is based on the economic growth model of Ph. Agion and P. Howitt, which determines economic growth of a certain country by its’ human capital skills, as well as by the distance of such a country to the world technology frontier. The analysis presented in the article includes both OECD countries and CESEE countries, in particular Ukraine. Based on the results, it can be concluded that OECD countries, whose total factor productivities are a minimum 7 per cent above the world technology frontier, reached this – to the great extent – through better education. CESEE countries, whose total factor productivities are at least 59 per cent below the frontier (and Ukraine is among them), should improve the quality of education to get closer to the frontier. Further analysis of the factors of education quality showed that government spending on education and quality of public and private institutions play great part in improving education both in CESEE and OECD countries. The proposed approach to assessing the factors of the quality of education can be used for further assessment of the impact of COVID–19 pandemic on the quality of education, as well as to justify the directions of state policy in the field of education aimed at ensuring economic recovery in the post–pandemic period.
评估教育质量对经济合作与发展组织和经济、社会和经济发展委员会国家经济增长的影响
人均收入水平的回顾性数据分析表明,教育社会的形成为劳动生产率的提高和经济的增长创造了前提条件。根据Gelor - Weil理论,在19世纪,在西欧国家,以及在“西方国家”(美国、加拿大、澳大利亚和新西兰),对计划生育的态度发生了变化,其中包括更少的受过良好教育的儿童而不是大量未受过教育的儿童。这使得这些国家有可能克服“马尔萨斯陷阱”,并实现快速的经济增长。今天,美国的全要素生产率被作为衡量其他国家生产率的基准/前沿。本文介绍了评估教育质量影响的结果,用《全球竞争力报告》的“技能”指标来表示,该指标表征了劳动力的一般技能水平,以及该国教育的数量和质量,对其全要素生产率的影响。该评估基于dr . Agion和P. Howitt的经济增长模型,该模型通过人力资本技能以及该国与世界技术前沿的距离来决定一国的经济增长。文章中提出的分析包括经合发组织国家和CESEE国家,特别是乌克兰。根据这些结果,可以得出结论,总要素生产率至少比世界技术前沿高出7%的经合发组织国家在很大程度上是通过更好的教育达到这一目标的。全要素生产率至少低于前沿59%的CESEE国家(乌克兰就是其中之一)应提高教育质量,以便更接近前沿。对教育质量因素的进一步分析表明,在CESEE和OECD国家,政府的教育支出和公立和私立机构的质量在改善教育方面发挥了重要作用。拟议的评估教育质量因素的方法可用于进一步评估COVID-19大流行对教育质量的影响,并为旨在确保大流行后时期经济复苏的教育领域国家政策方向提供依据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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