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Analyzing the Spatial Correlation Between Regional Economic Level and Water-Use Efficiency in Jiangsu Province

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Geo-Informatics in Resource Management and Sustainable Ecosystem ( 2015, GRMSE 2015)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 569))

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Abstract

A spatial regression model between regional economy and water-use efficiency was built by using per capita GDP and water consumption of every ten thousand yuan of all the cities in Jiangsu province during 2009 to 2011. Based on spatial correlation analysis between economy and water-use efficiency in Jiangsu province through Moran’s index, local Lisa figure and Moran scatter chart, the regional economy development and water-use efficiency in Jiangsu province are obviously spatial-clustered, decreasing progressively from southern, central to northern cities. When considering the relationship between per capita GDP and water use of per every ten thousand yuan, HH zone does not exist, LH zone includes Xuzhou, Huaian, Lianyungang, Suqian, Yancheng and Yangzhou cities, LL zone is Taizhou, and HL zone includes Nanjing, Wuxi, Changzhou, Suzhou and Zhenjiang cities. It could be concluded that spatial differences of regional economic developing level is the most significant factor to water-use efficiency.

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Acknowledgements

Support for this research was provided by a grant from the National Natural Science Foundation of China (No. 51109055, 51279223, 51479119, 51579064), Public-services Foundation of Ministry Water Resources of China (No. 201301003, 201201022), The National Soft Science Research Program (2014GXS4B047), and Social Science Foundation from the Jiangsu Province (No. 11GLA001).

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Correspondence to Zongzhi Wang .

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Zhang, L., Yan, F., Wang, Z., Shen, J. (2016). Analyzing the Spatial Correlation Between Regional Economic Level and Water-Use Efficiency in Jiangsu Province. In: Bian, F., Xie, Y. (eds) Geo-Informatics in Resource Management and Sustainable Ecosystem. GRMSE 2015 2015. Communications in Computer and Information Science, vol 569. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-49155-3_55

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  • DOI: https://doi.org/10.1007/978-3-662-49155-3_55

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