地理学报 ›› 2017, Vol. 72 ›› Issue (10): 1845-1858.doi: 10.11821/dlxb201710009

• 乡村发展 • 上一篇    下一篇

山东省农村居民点转型的空间特征及其经济梯度分异

曲衍波1(), 姜广辉2(), 张佰林3, 李慧燕1, 魏淑文1   

  1. 1. 山东财经大学公共管理学院,济南 250014
    2. 北京师范大学资源学院,北京 100875
    3. 天津工业大学管理学院,天津 300387
  • 收稿日期:2016-11-09 修回日期:2017-02-21 出版日期:2017-11-10 发布日期:2017-11-06
  • 作者简介:

    作者简介:曲衍波(1982-), 男, 博士, 副教授, 硕士生导师, 主要从事土地利用转型与乡村发展研究。E-mail:yanboqu2009@126.com

  • 基金资助:
    国家自然科学基金项目(41771560, 41671519);山东省自然科学基金项目(ZR2013DQ003);“政府规制与公共政策”泰山学者建设工程专项资金资助项目

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

摘要:

为探究农村居民点转型的空间结构及其与经济发展的关联性,以山东省为例,基于农村宅基地转型的理论假设与测度方法,运用空间关联分析方法研究农村居民点转型的空间布局和集聚特征,并以人均GDP作为特征指标划分各县级行政区的经济发展梯度,从省级全域层面和“点、线、面”特征单元综合的角度,揭示农村居民点转型与经济发展的相关性及其耦合关系。结果显示,在空间分布上,2005-2014年山东省农村居民点转型指数呈现西高东低和南高北低的态势;在全局趋势上,Moran's I指数达到0.6317,说明农村居民点转型存在显著的空间集聚现象;在局部趋势上,农村居民点转型的热点区和次热点区集中分布在鲁西黄泛平原、鲁西南淮河平原以及鲁中沂蒙山区,次冷点区分布在次热点区外围,冷点区分布在胶东丘陵地区和鲁北黄河三角洲地带;在相关性分析上,农村居民点转型与经济发展水平具有明显的数理统计相关性和空间耦合性,无论是全域层面还是特征单元,农村居民点转型均表现出从低级到高级经济梯度的递减规律、且乘幂变化趋势显著。本文探索了农村居民点转型的空间特征,弥补了土地利用转型空间性分析的不足;同时研究结果也较好地验证了前人提出的理论假设。

关键词: 土地利用转型, 农村居民点, 经济梯度, 空间关联分析, 山东省

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