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Analysis of Land Consolidation Potential of Hollowed Villages and Its Eco-Economic Benefits under the Background of Urbanization:——A Case Study on Qin’an County, Gansu Province

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 399))

Abstract

Village hollowing is an infaust evolution of village structure caused by the non-agricultural transfer of the rural population under the background of urbanization. Take Qin’an county in loess hilly-gully region as a case, this paper analyzed the potential of hollowed village land consolidation of Qin’an county quantificationally based on the investigation and analysis of six indicators.The authors also made a quantitative analysis of the ecological and economic benefits of the hollow Village’ remediation of Qin’an County based on the analysis of the objective reality and the current needs of the rural socio-economic development and eco-environment construction in Qin’an. The results show that Qin’an has huge potential in remedying hollow villages under the urbanization. Actively promote the hollow village land consolidation, reasonable and intensive utilization of land resources is not only the objective demand of the socialist new rural construction, and it also will show great ecological and economic benefits.

The research funded by National Natural Science Foundation of China (NSFC) (40971106).

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© 2013 Springer-Verlag Berlin Heidelberg

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Guo, X., Yang, S., Ma, L., Li, Y. (2013). Analysis of Land Consolidation Potential of Hollowed Villages and Its Eco-Economic Benefits under the Background of Urbanization:——A Case Study on Qin’an County, Gansu Province. In: Bian, F., Xie, Y., Cui, X., Zeng, Y. (eds) Geo-Informatics in Resource Management and Sustainable Ecosystem. GRMSE 2013. Communications in Computer and Information Science, vol 399. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-41908-9_58

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  • DOI: https://doi.org/10.1007/978-3-642-41908-9_58

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-41907-2

  • Online ISBN: 978-3-642-41908-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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