Green Technology Collaboration Network Analysis of China’s Transportation Sector: A Patent-Based Analysis

The development of green transportation technologies in China has grown rapidly due to increasing concerns about climate change and environmental pollution. Collaboration innovations covering kinds of participating entities and various linked relationships have become one of the critical drivers for...

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Main Authors: Lufei Huang, Ying Xu, Xiaohui Pan, Tao Zhang
Format: Article
Language:English
Published: Hindawi Limited 2021-01-01
Series:Scientific Programming
Online Access:http://dx.doi.org/10.1155/2021/9961071
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spelling doaj-98ff7752f472441cb6a698a5859128702021-07-02T21:33:00ZengHindawi LimitedScientific Programming1875-919X2021-01-01202110.1155/2021/9961071Green Technology Collaboration Network Analysis of China’s Transportation Sector: A Patent-Based AnalysisLufei Huang0Ying Xu1Xiaohui Pan2Tao Zhang3Shanghai Financial Technology Research CentreSchool of Financial TechnologySchool of ManagementDepartment of Computer Engineering and ScienceThe development of green transportation technologies in China has grown rapidly due to increasing concerns about climate change and environmental pollution. Collaboration innovations covering kinds of participating entities and various linked relationships have become one of the critical drivers for the transportation sector. Some researchers have analysed the collaborative innovation of scientific literature in this field. However, fewer studies have investigated the current performance of collaborative technology innovation represented by patents in the transportation sector. In this context, a research framework based on the social network analysis approach is proposed for collaboration green transportation technologies. The purpose of the research is to establish an analytical framework for the green transportation innovation network and seek the key collaboration activities and strategies. Subsequently, a collaborative innovation network based on the patent data of green transportation technologies was built and analysed. Especially, the innovation entities in the collaboration network are divided into four groups: business enterprises, individuals, universities, and research institutions, so that more detailed information in the network could be obtained. The results show that the proposed research framework based on patent data and social network analysis method helps examine the critical nodes and links in the network, as well as their types and characteristics of the collaboration network. The increasing number of green transportation technologies shows active cooperation in this field. The study also found that business enterprises node gradually plays a major role in cooperative innovation. The corresponding policy recommendations are also provided.http://dx.doi.org/10.1155/2021/9961071
collection DOAJ
language English
format Article
sources DOAJ
author Lufei Huang
Ying Xu
Xiaohui Pan
Tao Zhang
spellingShingle Lufei Huang
Ying Xu
Xiaohui Pan
Tao Zhang
Green Technology Collaboration Network Analysis of China’s Transportation Sector: A Patent-Based Analysis
Scientific Programming
author_facet Lufei Huang
Ying Xu
Xiaohui Pan
Tao Zhang
author_sort Lufei Huang
title Green Technology Collaboration Network Analysis of China’s Transportation Sector: A Patent-Based Analysis
title_short Green Technology Collaboration Network Analysis of China’s Transportation Sector: A Patent-Based Analysis
title_full Green Technology Collaboration Network Analysis of China’s Transportation Sector: A Patent-Based Analysis
title_fullStr Green Technology Collaboration Network Analysis of China’s Transportation Sector: A Patent-Based Analysis
title_full_unstemmed Green Technology Collaboration Network Analysis of China’s Transportation Sector: A Patent-Based Analysis
title_sort green technology collaboration network analysis of china’s transportation sector: a patent-based analysis
publisher Hindawi Limited
series Scientific Programming
issn 1875-919X
publishDate 2021-01-01
description The development of green transportation technologies in China has grown rapidly due to increasing concerns about climate change and environmental pollution. Collaboration innovations covering kinds of participating entities and various linked relationships have become one of the critical drivers for the transportation sector. Some researchers have analysed the collaborative innovation of scientific literature in this field. However, fewer studies have investigated the current performance of collaborative technology innovation represented by patents in the transportation sector. In this context, a research framework based on the social network analysis approach is proposed for collaboration green transportation technologies. The purpose of the research is to establish an analytical framework for the green transportation innovation network and seek the key collaboration activities and strategies. Subsequently, a collaborative innovation network based on the patent data of green transportation technologies was built and analysed. Especially, the innovation entities in the collaboration network are divided into four groups: business enterprises, individuals, universities, and research institutions, so that more detailed information in the network could be obtained. The results show that the proposed research framework based on patent data and social network analysis method helps examine the critical nodes and links in the network, as well as their types and characteristics of the collaboration network. The increasing number of green transportation technologies shows active cooperation in this field. The study also found that business enterprises node gradually plays a major role in cooperative innovation. The corresponding policy recommendations are also provided.
url http://dx.doi.org/10.1155/2021/9961071
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AT taozhang greentechnologycollaborationnetworkanalysisofchinastransportationsectorapatentbasedanalysis
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