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Spatial Pattern of Technological Innovation in the Yangtze River Delta Region and Its Impact on Water Pollution
The impact of technological innovation on water pollution is an important parameter to determine and monitor while promoting and furthering a region’s economic development. Here, exploratory spatial data analysis was used to analyze: the spatial patterns of technological innovation and water polluti...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9224302/ https://www.ncbi.nlm.nih.gov/pubmed/35742685 http://dx.doi.org/10.3390/ijerph19127437 |
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author | Zhang, Jianwei Li, Heng Jiao, Guoxin Wang, Jiayi Li, Jingjing Li, Mengzhen Jiang, Haining |
author_facet | Zhang, Jianwei Li, Heng Jiao, Guoxin Wang, Jiayi Li, Jingjing Li, Mengzhen Jiang, Haining |
author_sort | Zhang, Jianwei |
collection | PubMed |
description | The impact of technological innovation on water pollution is an important parameter to determine and monitor while promoting and furthering a region’s economic development. Here, exploratory spatial data analysis was used to analyze: the spatial patterns of technological innovation and water pollution in the Yangtze River, the changes in technical innovation and the resulting changes in water pollution, and the impact of technological innovation on water pollution. The following major inferences were drawn from the obtained results: (1) The spatial pattern of innovation input has a single-center structure that tends to spread. The patent innovation output has evolved, from a single spatial pattern with Shanghai as the core to a diffusion structure with three cores-Hangzhou, Shanghai, and Nanjing. (2) The aggregation mode of water pollution has evolved from the original “Z” mode to a new mode of core agglomeration, and water pollution is constantly being reduced. (3) The trends of change in patent innovation output and innovation input are roughly the same, while the trends of both and that of water pollution are contrary to each other. (4) The correlations between innovation input, patented innovation output, and water pollution are relatively low. From the perspective of spatial distribution, the number of cities with medium and high levels of gray correlation with water pollution is the same. |
format | Online Article Text |
id | pubmed-9224302 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-92243022022-06-24 Spatial Pattern of Technological Innovation in the Yangtze River Delta Region and Its Impact on Water Pollution Zhang, Jianwei Li, Heng Jiao, Guoxin Wang, Jiayi Li, Jingjing Li, Mengzhen Jiang, Haining Int J Environ Res Public Health Article The impact of technological innovation on water pollution is an important parameter to determine and monitor while promoting and furthering a region’s economic development. Here, exploratory spatial data analysis was used to analyze: the spatial patterns of technological innovation and water pollution in the Yangtze River, the changes in technical innovation and the resulting changes in water pollution, and the impact of technological innovation on water pollution. The following major inferences were drawn from the obtained results: (1) The spatial pattern of innovation input has a single-center structure that tends to spread. The patent innovation output has evolved, from a single spatial pattern with Shanghai as the core to a diffusion structure with three cores-Hangzhou, Shanghai, and Nanjing. (2) The aggregation mode of water pollution has evolved from the original “Z” mode to a new mode of core agglomeration, and water pollution is constantly being reduced. (3) The trends of change in patent innovation output and innovation input are roughly the same, while the trends of both and that of water pollution are contrary to each other. (4) The correlations between innovation input, patented innovation output, and water pollution are relatively low. From the perspective of spatial distribution, the number of cities with medium and high levels of gray correlation with water pollution is the same. MDPI 2022-06-17 /pmc/articles/PMC9224302/ /pubmed/35742685 http://dx.doi.org/10.3390/ijerph19127437 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Zhang, Jianwei Li, Heng Jiao, Guoxin Wang, Jiayi Li, Jingjing Li, Mengzhen Jiang, Haining Spatial Pattern of Technological Innovation in the Yangtze River Delta Region and Its Impact on Water Pollution |
title | Spatial Pattern of Technological Innovation in the Yangtze River Delta Region and Its Impact on Water Pollution |
title_full | Spatial Pattern of Technological Innovation in the Yangtze River Delta Region and Its Impact on Water Pollution |
title_fullStr | Spatial Pattern of Technological Innovation in the Yangtze River Delta Region and Its Impact on Water Pollution |
title_full_unstemmed | Spatial Pattern of Technological Innovation in the Yangtze River Delta Region and Its Impact on Water Pollution |
title_short | Spatial Pattern of Technological Innovation in the Yangtze River Delta Region and Its Impact on Water Pollution |
title_sort | spatial pattern of technological innovation in the yangtze river delta region and its impact on water pollution |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9224302/ https://www.ncbi.nlm.nih.gov/pubmed/35742685 http://dx.doi.org/10.3390/ijerph19127437 |
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