Research on Green Innovation of the Great Changsha-Zhuzhou-Xiangtan City Group Based on Network

This article aims to promote the high-quality development of the Great Changsha-Zhuzhou-Xiangtan City Group and improve the green innovation efficiency of urban agglomeration. This article takes green innovation in networked urban agglomerations as its research subject. Furthermore, it analyzes the...

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Autores principales:	Lu Wang, Wenzhong Ye, Lingming Chen
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	Great Changsha-Zhuzhou-Xiangtan City Group green innovation network structure unexpected output SBM model Agriculture S
Acceso en línea:	https://doaj.org/article/98124c2400cd40ffb76a31f09d08b7d1
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id	oai:doaj.org-article:98124c2400cd40ffb76a31f09d08b7d1
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spelling	oai:doaj.org-article:98124c2400cd40ffb76a31f09d08b7d12021-11-25T18:09:37ZResearch on Green Innovation of the Great Changsha-Zhuzhou-Xiangtan City Group Based on Network10.3390/land101111982073-445Xhttps://doaj.org/article/98124c2400cd40ffb76a31f09d08b7d12021-11-01T00:00:00Zhttps://www.mdpi.com/2073-445X/10/11/1198https://doaj.org/toc/2073-445XThis article aims to promote the high-quality development of the Great Changsha-Zhuzhou-Xiangtan City Group and improve the green innovation efficiency of urban agglomeration. This article takes green innovation in networked urban agglomerations as its research subject. Furthermore, it analyzes the impact of network structure characteristics such as network scale and network structure hole on green innovation in urban agglomerations. Moreover, this study uses the unexpected output SBM model to measure green innovation efficiency of the eight prefecture-level cities in the Great Changsha-Zhuzhou-Xiangtan City Group from 2012 to 2018 and analyzes its influencing factors using the panel Tobit model. The results show that the overall green innovation efficiency of the Great Changsha-Zhuzhou-Xiangtan City Group is stable. The distribution of urban green innovation efficiency in the region is characterized by urban gradient and mid-stream drive. In the process of networked innovation, economic development, which has a positive impact on green innovation, promotes the overall effectiveness of the network structure. The low efficiency of urban educational resources, which has a negative impact on green innovation, leads to the redundancy of a network scale. The unapparent advantage of industrial structures, which have a negative impact on the development of green innovation, leads to the insufficient depth and breadth of network openness. Lastly, government support and the level of infrastructure have no impact on green innovation.Lu WangWenzhong YeLingming ChenMDPI AGarticleGreat Changsha-Zhuzhou-Xiangtan City Groupgreen innovationnetwork structureunexpected output SBM modelAgricultureSENLand, Vol 10, Iss 1198, p 1198 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Great Changsha-Zhuzhou-Xiangtan City Group green innovation network structure unexpected output SBM model Agriculture S
spellingShingle	Great Changsha-Zhuzhou-Xiangtan City Group green innovation network structure unexpected output SBM model Agriculture S Lu Wang Wenzhong Ye Lingming Chen Research on Green Innovation of the Great Changsha-Zhuzhou-Xiangtan City Group Based on Network
description	This article aims to promote the high-quality development of the Great Changsha-Zhuzhou-Xiangtan City Group and improve the green innovation efficiency of urban agglomeration. This article takes green innovation in networked urban agglomerations as its research subject. Furthermore, it analyzes the impact of network structure characteristics such as network scale and network structure hole on green innovation in urban agglomerations. Moreover, this study uses the unexpected output SBM model to measure green innovation efficiency of the eight prefecture-level cities in the Great Changsha-Zhuzhou-Xiangtan City Group from 2012 to 2018 and analyzes its influencing factors using the panel Tobit model. The results show that the overall green innovation efficiency of the Great Changsha-Zhuzhou-Xiangtan City Group is stable. The distribution of urban green innovation efficiency in the region is characterized by urban gradient and mid-stream drive. In the process of networked innovation, economic development, which has a positive impact on green innovation, promotes the overall effectiveness of the network structure. The low efficiency of urban educational resources, which has a negative impact on green innovation, leads to the redundancy of a network scale. The unapparent advantage of industrial structures, which have a negative impact on the development of green innovation, leads to the insufficient depth and breadth of network openness. Lastly, government support and the level of infrastructure have no impact on green innovation.
format	article
author	Lu Wang Wenzhong Ye Lingming Chen
author_facet	Lu Wang Wenzhong Ye Lingming Chen
author_sort	Lu Wang
title	Research on Green Innovation of the Great Changsha-Zhuzhou-Xiangtan City Group Based on Network
title_short	Research on Green Innovation of the Great Changsha-Zhuzhou-Xiangtan City Group Based on Network
title_full	Research on Green Innovation of the Great Changsha-Zhuzhou-Xiangtan City Group Based on Network
title_fullStr	Research on Green Innovation of the Great Changsha-Zhuzhou-Xiangtan City Group Based on Network
title_full_unstemmed	Research on Green Innovation of the Great Changsha-Zhuzhou-Xiangtan City Group Based on Network
title_sort	research on green innovation of the great changsha-zhuzhou-xiangtan city group based on network
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/98124c2400cd40ffb76a31f09d08b7d1
work_keys_str_mv	AT luwang researchongreeninnovationofthegreatchangshazhuzhouxiangtancitygroupbasedonnetwork AT wenzhongye researchongreeninnovationofthegreatchangshazhuzhouxiangtancitygroupbasedonnetwork AT lingmingchen researchongreeninnovationofthegreatchangshazhuzhouxiangtancitygroupbasedonnetwork
_version_	1718411574105866240

Research on Green Innovation of the Great Changsha-Zhuzhou-Xiangtan City Group Based on Network

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