A research on the efficiency of regional green innovation in China—Based on DEA-SBM model and Malmquist index method

This paper selects panel data of 29 provinces in mainland China from 2010-2017 and combines a DEA-SBM model that takes into account non-desired outputs and the Malmquis index method to study the static and dynamic changes of regional green innovation efficiency. It is found that the overall level of...

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Main Authors: Yang Li, Zhiwei You, Jiaqi Wang, Fei Lan
Format: Article
Language:English
Published: EDP Sciences 2021-01-01
Series:E3S Web of Conferences
Online Access:https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/12/e3sconf_icersd2020_04012.pdf
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author Yang Li
Zhiwei You
Jiaqi Wang
Fei Lan
author_facet Yang Li
Zhiwei You
Jiaqi Wang
Fei Lan
author_sort Yang Li
collection DOAJ
description This paper selects panel data of 29 provinces in mainland China from 2010-2017 and combines a DEA-SBM model that takes into account non-desired outputs and the Malmquis index method to study the static and dynamic changes of regional green innovation efficiency. It is found that the overall level of green innovation efficiency in China is low, but the overall trend is on the rise and there is more room for improvement. The differences in green innovation efficiency values among the three regions of East, West and Central Asia are obvious, with the eastern region developing at a higher level than the central and western regions, and the gap is gradually narrowing. Technological progress is a key factor affecting total factor productivity.
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spelling doaj.art-ba85082e856e49b29185321f4b9593eb2022-12-21T23:08:30ZengEDP SciencesE3S Web of Conferences2267-12422021-01-012360401210.1051/e3sconf/202123604012e3sconf_icersd2020_04012A research on the efficiency of regional green innovation in China—Based on DEA-SBM model and Malmquist index methodYang Li0Zhiwei You1Jiaqi Wang2Fei Lan3Department of Finance and Accounting, Wuhan University of Technology, Hongshan DistrictDepartment of Finance and Accounting, Wuhan University of Technology, Hongshan DistrictDepartment of Finance and Accounting, Wuhan University of Technology, Hongshan DistrictDepartment of Finance and Accounting, Wuhan University of Technology, Hongshan DistrictThis paper selects panel data of 29 provinces in mainland China from 2010-2017 and combines a DEA-SBM model that takes into account non-desired outputs and the Malmquis index method to study the static and dynamic changes of regional green innovation efficiency. It is found that the overall level of green innovation efficiency in China is low, but the overall trend is on the rise and there is more room for improvement. The differences in green innovation efficiency values among the three regions of East, West and Central Asia are obvious, with the eastern region developing at a higher level than the central and western regions, and the gap is gradually narrowing. Technological progress is a key factor affecting total factor productivity.https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/12/e3sconf_icersd2020_04012.pdf
spellingShingle Yang Li
Zhiwei You
Jiaqi Wang
Fei Lan
A research on the efficiency of regional green innovation in China—Based on DEA-SBM model and Malmquist index method
E3S Web of Conferences
title A research on the efficiency of regional green innovation in China—Based on DEA-SBM model and Malmquist index method
title_full A research on the efficiency of regional green innovation in China—Based on DEA-SBM model and Malmquist index method
title_fullStr A research on the efficiency of regional green innovation in China—Based on DEA-SBM model and Malmquist index method
title_full_unstemmed A research on the efficiency of regional green innovation in China—Based on DEA-SBM model and Malmquist index method
title_short A research on the efficiency of regional green innovation in China—Based on DEA-SBM model and Malmquist index method
title_sort research on the efficiency of regional green innovation in china based on dea sbm model and malmquist index method
url https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/12/e3sconf_icersd2020_04012.pdf
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