教育转型的跨国宏观分析

IF 2.3 3区 经济学 Q2 ECONOMICS European Journal of Political Economy Pub Date : 2024-09-01 DOI:10.1016/j.ejpoleco.2023.102362
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引用次数: 0

摘要

在跨国数据中,收入和主要教育变量密切相关。这主要是由于从传统社会向现代社会的长期过渡。本文研究了一个流量变量和一个存量变量。流量是年度公共教育预算占 GDP 的 E 份额。在根据学龄儿童人数进行调整后,就变成了 "EC-share"。存量变量是学校,即平均每人的在校年数。这两个变量都是供求关系造成的。人们和企业需要生产所需的人力资本。政府提供教育以提高产量。需求因素能更好地解释这种强相关性。教育过多或过少的国家是通过教育过渡曲线的偏差来确定的。这两种偏离都不会对增长率产生明显影响。所提出的解释利用了过渡路径的均衡特性,即过多的教育没有用处,而过少的教育则由私营部门弥补。
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The transition of education a cross-country macro analysis

In cross-country data, income and key education variables are strongly correlated. This is mainly due to the long-run transition from traditional to modern society. The paper looks at a flow and a stock variable. The flow is the E-share of GDP for the annual public budget for education. When it is adjusted for the number of school-age children, it becomes the EC-share. The stock is School, which is the number of years the average person has been in school. Both variables are due to demand and supply. People and firms demand human capital needed by production. Governments supply education to increase production. The demand factor works better to explain the strong correlation. Countries with too much or too little education are identified by the deviations from the transition curves for education. Neither deviation has a clear impact on the growth rate. The explanation proposed uses the equilibrium properties of the transition path, where too much education is of no use, while too little is compensated by the private sector.

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来源期刊
CiteScore
3.40
自引率
10.00%
发文量
106
期刊介绍: The aim of the European Journal of Political Economy is to disseminate original theoretical and empirical research on economic phenomena within a scope that encompasses collective decision making, political behavior, and the role of institutions. Contributions are invited from the international community of researchers. Manuscripts must be published in English. Starting 2008, the European Journal of Political Economy is indexed in the Social Sciences Citation Index published by Thomson Scientific (formerly ISI).
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