Contribution and Mechanism of Different Levels of Educational Human Capital to the Identification of Regional Green Economic Growth

With the rapid development of economy and society and the continuous optimization of industrial structure, the demand for high skilled talents is increasing. Education plays an irreplaceable role in China’s economic growth. Therefore, it is of great significance to study the impact of talent supply...

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Autor principal:	Jiapeng Guo
Formato:	article
Lenguaje:	EN
Publicado:	Hindawi Limited 2021
Materias:	Computer applications to medicine. Medical informatics R858-859.7 Neurosciences. Biological psychiatry. Neuropsychiatry RC321-571
Acceso en línea:	https://doaj.org/article/a515e400dc174634887dd200ee27f410
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spelling	oai:doaj.org-article:a515e400dc174634887dd200ee27f4102021-11-29T00:56:43ZContribution and Mechanism of Different Levels of Educational Human Capital to the Identification of Regional Green Economic Growth1687-527310.1155/2021/4105716https://doaj.org/article/a515e400dc174634887dd200ee27f4102021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/4105716https://doaj.org/toc/1687-5273With the rapid development of economy and society and the continuous optimization of industrial structure, the demand for high skilled talents is increasing. Education plays an irreplaceable role in China’s economic growth. Therefore, it is of great significance to study the impact of talent supply of vocational education on economic growth from the perspective of human capital and comprehensively consider the spatial interaction of economic growth. Taking intelligent image recognition technology as the main research technology, this paper discusses the contribution of educational human capital to regional green economic growth. This paper expounds the content of intelligent image recognition technology, constructs an image recognition system based on neural network, and studies the relationship between human resource utilization efficiency and regional economy under intelligent image recognition technology based on the empirical analysis of intelligent image recognition technology. Finally, it makes an empirical study on the spatial effect in the image recognition system and expounds the relationship between feature space and economic growth. It verifies the relationship between educational human capital and green economic growth. The results show that the intelligent image recognition technology has a good effect in the research of spatial effect.Jiapeng GuoHindawi LimitedarticleComputer applications to medicine. Medical informaticsR858-859.7Neurosciences. Biological psychiatry. NeuropsychiatryRC321-571ENComputational Intelligence and Neuroscience, Vol 2021 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Computer applications to medicine. Medical informatics R858-859.7 Neurosciences. Biological psychiatry. Neuropsychiatry RC321-571
spellingShingle	Computer applications to medicine. Medical informatics R858-859.7 Neurosciences. Biological psychiatry. Neuropsychiatry RC321-571 Jiapeng Guo Contribution and Mechanism of Different Levels of Educational Human Capital to the Identification of Regional Green Economic Growth
description	With the rapid development of economy and society and the continuous optimization of industrial structure, the demand for high skilled talents is increasing. Education plays an irreplaceable role in China’s economic growth. Therefore, it is of great significance to study the impact of talent supply of vocational education on economic growth from the perspective of human capital and comprehensively consider the spatial interaction of economic growth. Taking intelligent image recognition technology as the main research technology, this paper discusses the contribution of educational human capital to regional green economic growth. This paper expounds the content of intelligent image recognition technology, constructs an image recognition system based on neural network, and studies the relationship between human resource utilization efficiency and regional economy under intelligent image recognition technology based on the empirical analysis of intelligent image recognition technology. Finally, it makes an empirical study on the spatial effect in the image recognition system and expounds the relationship between feature space and economic growth. It verifies the relationship between educational human capital and green economic growth. The results show that the intelligent image recognition technology has a good effect in the research of spatial effect.
format	article
author	Jiapeng Guo
author_facet	Jiapeng Guo
author_sort	Jiapeng Guo
title	Contribution and Mechanism of Different Levels of Educational Human Capital to the Identification of Regional Green Economic Growth
title_short	Contribution and Mechanism of Different Levels of Educational Human Capital to the Identification of Regional Green Economic Growth
title_full	Contribution and Mechanism of Different Levels of Educational Human Capital to the Identification of Regional Green Economic Growth
title_fullStr	Contribution and Mechanism of Different Levels of Educational Human Capital to the Identification of Regional Green Economic Growth
title_full_unstemmed	Contribution and Mechanism of Different Levels of Educational Human Capital to the Identification of Regional Green Economic Growth
title_sort	contribution and mechanism of different levels of educational human capital to the identification of regional green economic growth
publisher	Hindawi Limited
publishDate	2021
url	https://doaj.org/article/a515e400dc174634887dd200ee27f410
work_keys_str_mv	AT jiapengguo contributionandmechanismofdifferentlevelsofeducationalhumancapitaltotheidentificationofregionalgreeneconomicgrowth
_version_	1718407724977356800

Contribution and Mechanism of Different Levels of Educational Human Capital to the Identification of Regional Green Economic Growth

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