Spatial Pattern of Technological Innovation in the Yangtze River Delta Region and Its Impact on Water Pollution

Jianwei Zhang, Heng Li, Guoxin Jiao, Jiayi Wang, Jingjing Li, Mengzhen Li and Haining Jiang
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Jianwei Zhang: School of Resources, Environment and Tourism, Anyang Normal University, Anyang 455000, China
Heng Li: School of Economics and Management, Huainan Normal University, Huainan 232038, China
Guoxin Jiao: School of Resources, Environment and Tourism, Anyang Normal University, Anyang 455000, China
Jiayi Wang: School of Resources, Environment and Tourism, Anyang Normal University, Anyang 455000, China
Jingjing Li: School of Resources, Environment and Tourism, Anyang Normal University, Anyang 455000, China
Mengzhen Li: School of Resources, Environment and Tourism, Anyang Normal University, Anyang 455000, China
Haining Jiang: College of Geography and Environmental Sciences, Zhejiang Normal University, Jinhua 321004, China

IJERPH, 2022, vol. 19, issue 12, 1-20

Abstract: 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.

Keywords: technological innovation; water pollution; spatial pattern; gray relational analysis; YRD (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2022
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