Acta Geographica Sinica ›› 2017, Vol. 72 ›› Issue (10): 1845-1858.doi: 10.11821/dlxb201710009

• Rural Development • Previous Articles     Next Articles

Spatial characteristics of rural residential land transition and its economic gradient differentiation

Yanbo QU1(), Guanghui JIANG2(), Bailin ZHANG3, Huiyan LI1, Shuwen WEI1   

  1. 1. School of Public Management, Shandong University of Finance and Economic, Jinan 250014, China
    2. College of Resources Science and Technology, Beijing Normal University, Beijing 100875, China
    3. School of Management, Tianjin Polytechnic University, Tianjin 300387, China
  • Received:2016-11-09 Revised:2017-02-21 Online:2017-11-10 Published:2017-11-06
  • Supported by:
    National Natural Science Foundation of China, No.41771560, No.41671519;Shandong Natural Science Foundation, No.ZR2013DQ003;"Government Regulation and Public Policy" Taishan Scholars Construction Project Special Funds

Abstract:

In order to explore the spatial structure of rural residential land transition and its relevance to economic development, the spatial layout and agglomeration characteristics of rural residential land transition in Shandong Province were studied by applying theoretical hypothesis on rural housing land transition and spatial correlation analysis methods, such as global spatial autocorrelation analysis and hot spot analysis. Economic growth stages at county scale were divided based on per capita GDP, and the coupling relationship between rural residential land transition and economic development were revealed from the integrated angle of global scale at the provincial level and "point-line-face" feature unit. The results showed that, the rural residential land transition index from 2005 to 2014 displayed a significantly increasing trend in the east-west direction and a gradually descending trend from south to north. Based on the global spatial autocorrelation analysis, Moran's index, which reached 0.6317, indicated that the rural residential land transition showed a significant pattern of high-high and low-low spatial clustering. Furthermore, by applying hot spot analysis, it was found that the hot spots and hot sub-spots were intensively distributed in the western inadated plain of the Yellow River, southwest Huaihe plain and central Yimeng Mountains of Shandong Province; the cold sub-spots were distributed in the periphery of the hot sub-spots, such as cities of Zaozhuang, Jinan, Zibo, Binzhou and Weifang; and the cold spots were mostly distributed in Jiaodong hilly region and the northern Yellow River Delta. Moreover, obvious correlation of mathematical statistics and spatial coupling between rural residential transition indices and economic development level were indicated. The decreasing tendency from low to high economic gradient at both global scale and provincial level and feature units of "Five counties - Three belts - Four regions" were revealed by all rural residential land transition characteristics, with the significant relationship of power exponent trend. This paper explored the spatial characteristics of rural residential land transition, and made up for the deficiency of the single non-spatial analysis of land use transition; and the results verified the previous theoretical hypothesis successfully.

Key words: land use transition, rural residential land, economic gradient, spatial correlation analysis, Shandong Province