Cargando…
Spatio-temporal evolution and mechanism of regional innovation efficiency: Evidence from Yangtze River Delta Urban Agglomeration of China
Regional innovation is an important research topic in economic geography, the spatio-temporal evolution and mechanism of regional innovation efficiency have recently become a hot for economic geographers. From the perspective of input and output efficiency, this paper constructs evaluation indicator...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8248968/ https://www.ncbi.nlm.nih.gov/pubmed/34197500 http://dx.doi.org/10.1371/journal.pone.0253598 |
_version_ | 1783716820609400832 |
---|---|
author | Cao, Xianzhong Chen, Bo Si, Yuefang Hu, Senlin Zeng, Gang |
author_facet | Cao, Xianzhong Chen, Bo Si, Yuefang Hu, Senlin Zeng, Gang |
author_sort | Cao, Xianzhong |
collection | PubMed |
description | Regional innovation is an important research topic in economic geography, the spatio-temporal evolution and mechanism of regional innovation efficiency have recently become a hot for economic geographers. From the perspective of input and output efficiency, this paper constructs evaluation indicator of regional innovation, with the help of Constant Returns to Scale (CRS) and Variable Returns to Scale (VRS) models, and Malmquist indicator method of Data Envelopment Analysis (DEA), to analyze regional innovation performance, evolution trend, spatial differentiation, and evolution mechanism of Yangtze River Delta Urban Agglomeration (YRDUA) of China. The results show that: (i) Innovation efficiency of YRDUA is generally low, most of which is less than 80 percent of optimal efficiency; however, it kept rising from 2000 to 2015. (ii) Spatial inequality of regional innovation in YRDUA is significant, with a spatial pattern in the shape of “Z”, composed by Hefei, Nanjing, Shanghai, Hangzhou and Ningbo, innovation efficiency of Shanghai is higher than Zhejiang, Anhui and Jiangsu. (iii) Technology progress is the most important influencing factor, all kinds of changing indicator show a trend of rise, and the total factor productivity is changing significantly. This research can provide theoretical reference for the YRDUA to achieve high-quality integration. |
format | Online Article Text |
id | pubmed-8248968 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-82489682021-07-09 Spatio-temporal evolution and mechanism of regional innovation efficiency: Evidence from Yangtze River Delta Urban Agglomeration of China Cao, Xianzhong Chen, Bo Si, Yuefang Hu, Senlin Zeng, Gang PLoS One Research Article Regional innovation is an important research topic in economic geography, the spatio-temporal evolution and mechanism of regional innovation efficiency have recently become a hot for economic geographers. From the perspective of input and output efficiency, this paper constructs evaluation indicator of regional innovation, with the help of Constant Returns to Scale (CRS) and Variable Returns to Scale (VRS) models, and Malmquist indicator method of Data Envelopment Analysis (DEA), to analyze regional innovation performance, evolution trend, spatial differentiation, and evolution mechanism of Yangtze River Delta Urban Agglomeration (YRDUA) of China. The results show that: (i) Innovation efficiency of YRDUA is generally low, most of which is less than 80 percent of optimal efficiency; however, it kept rising from 2000 to 2015. (ii) Spatial inequality of regional innovation in YRDUA is significant, with a spatial pattern in the shape of “Z”, composed by Hefei, Nanjing, Shanghai, Hangzhou and Ningbo, innovation efficiency of Shanghai is higher than Zhejiang, Anhui and Jiangsu. (iii) Technology progress is the most important influencing factor, all kinds of changing indicator show a trend of rise, and the total factor productivity is changing significantly. This research can provide theoretical reference for the YRDUA to achieve high-quality integration. Public Library of Science 2021-07-01 /pmc/articles/PMC8248968/ /pubmed/34197500 http://dx.doi.org/10.1371/journal.pone.0253598 Text en © 2021 Cao et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Cao, Xianzhong Chen, Bo Si, Yuefang Hu, Senlin Zeng, Gang Spatio-temporal evolution and mechanism of regional innovation efficiency: Evidence from Yangtze River Delta Urban Agglomeration of China |
title | Spatio-temporal evolution and mechanism of regional innovation efficiency: Evidence from Yangtze River Delta Urban Agglomeration of China |
title_full | Spatio-temporal evolution and mechanism of regional innovation efficiency: Evidence from Yangtze River Delta Urban Agglomeration of China |
title_fullStr | Spatio-temporal evolution and mechanism of regional innovation efficiency: Evidence from Yangtze River Delta Urban Agglomeration of China |
title_full_unstemmed | Spatio-temporal evolution and mechanism of regional innovation efficiency: Evidence from Yangtze River Delta Urban Agglomeration of China |
title_short | Spatio-temporal evolution and mechanism of regional innovation efficiency: Evidence from Yangtze River Delta Urban Agglomeration of China |
title_sort | spatio-temporal evolution and mechanism of regional innovation efficiency: evidence from yangtze river delta urban agglomeration of china |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8248968/ https://www.ncbi.nlm.nih.gov/pubmed/34197500 http://dx.doi.org/10.1371/journal.pone.0253598 |
work_keys_str_mv | AT caoxianzhong spatiotemporalevolutionandmechanismofregionalinnovationefficiencyevidencefromyangtzeriverdeltaurbanagglomerationofchina AT chenbo spatiotemporalevolutionandmechanismofregionalinnovationefficiencyevidencefromyangtzeriverdeltaurbanagglomerationofchina AT siyuefang spatiotemporalevolutionandmechanismofregionalinnovationefficiencyevidencefromyangtzeriverdeltaurbanagglomerationofchina AT husenlin spatiotemporalevolutionandmechanismofregionalinnovationefficiencyevidencefromyangtzeriverdeltaurbanagglomerationofchina AT zenggang spatiotemporalevolutionandmechanismofregionalinnovationefficiencyevidencefromyangtzeriverdeltaurbanagglomerationofchina |