Analysis of Educational Investment Spillovers and Their Mechanisms: Based on a Log-linear Model

Dan Hu, Jing Liang

2022

Abstract

Education investment is a key factor driving China’s economic growth and an important driver of economic transformation and upgrading. Based on this, this paper puts forward three hypotheses on the mechanism of education input promoting economic growth, using China’s 2001-2019 statistics, a log-linear model, and SPSS data processing software to analyze the intrinsic mechanism of China’s education input promoting economic growth. The results show that (1) the increase in educational input promotes economic growth, to a certain extent, through the intermediary mechanism of increasing scientific and technological output, and educational input improves the transformation of scientific and technological achievements, which makes economic growth gain the necessary growth driver, and then promotes economic development. (2) Educational inputs promote economic growth through the mediating transmission mechanism of human capital, which in turn affects production efficiency. Education investment raises the level of human capital, which makes economic growth obtain the necessary human capital supply and thus improve the level of economic growth. Recommendations are also made in terms of both educational investment and educational equity.

Paper Citation

in Harvard Style

Hu D. and Liang J. (2022). Analysis of Educational Investment Spillovers and Their Mechanisms: Based on a Log-linear Model. In Proceedings of the International Conference on Big Data Economy and Digital Management - Volume 1: BDEDM, ISBN 978-989-758-593-7, pages 286-290. DOI: 10.5220/0011174200003440

in Bibtex Style

@conference{bdedm22,
author={Dan Hu and Jing Liang},
title={Analysis of Educational Investment Spillovers and Their Mechanisms: Based on a Log-linear Model},
booktitle={Proceedings of the International Conference on Big Data Economy and Digital Management - Volume 1: BDEDM,},
year={2022},
pages={286-290},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011174200003440},
isbn={978-989-758-593-7},
}

in EndNote Style

TY - CONF

JO - Proceedings of the International Conference on Big Data Economy and Digital Management - Volume 1: BDEDM,
TI - Analysis of Educational Investment Spillovers and Their Mechanisms: Based on a Log-linear Model
SN - 978-989-758-593-7
AU - Hu D.
AU - Liang J.
PY - 2022
SP - 286
EP - 290
DO - 10.5220/0011174200003440