School of Resources, Environment and Tourism, Anyang Normal University, Anyang 455000, China.
School of Economics and Management, Huainan Normal University, Huainan 232038, China.
Int J Environ Res Public Health. 2022 Jun 17;19(12):7437. doi: 10.3390/ijerph19127437.
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.
技术创新对水污染的影响是在促进和推进区域经济发展的同时，确定和监测的一个重要参数。在这里，使用探索性空间数据分析来分析：长江流域技术创新和水污染的空间格局、技术创新的变化以及由此导致的水污染变化，以及技术创新对水污染的影响。从获得的结果中得出以下主要推论：（1）投入创新的空间格局具有单一中心结构，倾向于扩散。专利创新产出的演变，从以上海为核心的单一空间格局，演变为以上海、杭州和南京为三个核心的扩散结构。（2）水污染的聚集模式已经从原来的“Z”模式演变为核心聚集的新模式，水污染不断减少。（3）专利创新产出和创新投入的变化趋势大致相同，而两者和水污染的变化趋势则相反。（4）创新投入、专利创新产出和水污染之间的相关性相对较低。从空间分布的角度来看，与水污染具有中等和高度灰色关联的城市数量相同。
