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干旱区地理 ›› 2014, Vol. 37 ›› Issue (3): 620-629.

• 区域发展 • 上一篇    下一篇

西北地区农民收入差异的时空演变及影响因素——以陕甘宁县域为例

李晓越,李同昇,龙冬平,苗园园   

  1. (西北大学城市与环境学院, 陕西    西安    710000)
  • 收稿日期:2013-09-07 修回日期:2014-10-11 出版日期:2014-05-25
  • 通讯作者: 李同昇(1960-),男,陕西岐山人,教授,博导,主要研究方向为经济地理学. Email:leetang@nwu.edu.cn
  • 作者简介:李晓越(1990-),女,内蒙古阿拉善人,硕士研究生,主要研究方向为农村经济与农区发展. Email:nwu-lixiaoyue@163.com
  • 基金资助:

    国家自然科学基金项目(41271131)

Spatial-temporal Evolution and driving factors of rural resident’s net income in northwestern China:A case study of counties in Shaanxi-Gansu-Ningxia region

LI  Xiao-yue,LI  Tong-sheng,LONG  Dong-ping,MIAO  Yuan-yuan   

  1. (College of Urban and Environmental Science, Northwest University, Xi'an  710127, Shaanxi, China)
  • Received:2013-09-07 Revised:2014-10-11 Online:2014-05-25

摘要: 采用数理统计和地统计方法对陕、甘、宁三省区2002-2011年间县域农民人均收入区域差异和极化程度进行测度,并对农民收入冷热点演变态势进行探讨。研究表明:陕甘宁县域农民收入绝对差异呈加快扩大趋势,相对差异阶段性波动降低而极化程度阶段性波动上升;整体地域分异特征呈现出北高南低、西高东低的趋势;县域农民收入呈空间正相关,收入水平相似的地区在空间上集聚;农民收入的空间格局在10 a间发生了显著变化:农民收入的高值热点区和次热区空间格局呈现出向陕西拓展扩大的趋势,并由此带来次冷区空间格局向西移动,冷点区空间格局总体变化不大,略有西进。最后从自然地理环境、历史发展基础、经济地理区位、社会经济结构、区域发展政策因素对农民收入差异的影响进行分析。

关键词: 西北地区; , 农民收入; , 时空演变; , 影响因素

Abstract: Over the last decades,there has been considerable interest in the analysis of regional spatial-temporal pattern. Indeed,regional growth has exhibited complex spatial patterns including both population spread and economic equity decentralization from the well-developed counties to the less developed ones. Regional disparity is an important issue to the regional study in revealing the discrepancy of related regions and thus to display the spatial pattern between regions. And interregional disparities in China’s rural resident’s income have attracted considerable political and scholarly attention. Although in a country of such a vast size as China,large disparities seem to be an unavoidable fact of nature,there is the additional impact of distorting policy interventions and spatially divergent institutional change,which renders the topic analytically very difficult and fiscally sensitive. In recent years,a host of studies has been devoted to this topic,with an increasing degree of analytical sophistication. This paper takes the 165 counties in Shaanxi-Gansu-Ningxia region as the research objects,per capita net income as the measurable index,whose data was derived from the statistical yearbook from 2002 to 2011. In order to reveal the spatial-temporal distribution patterns and spatial interaction types of economic disparities in the rural resident’s income,traditional statistic analysis,which is often used as a tool to reveal the disparities within regions,and spatial autocorrelation analysis that is helpful in taking the geographical location into consideration to make up for the shortcomings of former methods,are combined together to reveal the income disparities of research units. The conclusions are as follows: (1)The absolute disparity of per capita net income for administrative counties has been continuously enlarged since 2002,while relative disparity has been reduced and polarization has been enlarged discontinuously from 2002~2011. (2)The county rural resident’s income has a growing tendency from east to west,from south to north. (3)The spatial pattern of rural resident’s income showed a strong trend of spatial natural correlation,the similar units clustered in space. (4) The hot spots of rural resident’s income mainly locate in the Hexi Corridor,Yinchuan Plain and Guanzhong Plain,and the cold spots of rural resident’s income cluster at southern Gansu. Significant changes took place in ten years: the hot spots were eastward migrated apparently,while the spatial patterns of other region were affected by its evolution. And at last,the driving factors of the evolvement of rural economic development framework were identified from the following aspects:the natural geographical environment,historical development foundation,economic geographical location,social-economic structures and regional development policy.

Key words: rural residents&rsquo, net-income, spatial-temporal evolution, driving factors, Shaanxi-Gansu-Ningxia region

中图分类号: 

  • F323.89