【摘要】 采用区位熵、离散系数、基尼系数、泰尔系数和探索性空间数据分析等方法,从县区、县级市和地级市及三大地域4个尺度对2006-2012年间山东省区域经济差异进行测度和时空演变分析,结果表明:山东省区域经济差异与地理尺度密切相关,空间尺度越小,区域差异越大;山东省的经济绝对差异在所有尺度上均表现出持续扩大趋势,相对差异在不同尺度上表现不一;三大地域内部县域之间的差异是山东省经济整体差异的主要原因,"一区"内部差异对整体差异的贡献率最高,三大地域间差异次之,然后是"一圈"内部差异、"一带"内部差异最低;区域经济呈现正的空间自相关,且在不同尺度下空间趋同性不同,其中基于县区小尺度其空间聚集性趋于减弱;基于县级市尺度,在鲁东、鲁中分别形成"n"型高-高和"H"型高-低显著聚集区;地级市尺度上六年来变化不大。更多还原

【Abstract】 Based on the per capita GDP in Shandong Province,the changing trends and spatial patterns of regional economic disparities are studied by employing location entropy,discrete coefficient,Gini coefficient,Theil coefficient,exploratory spatial data analysis(ESDA)and other methods at four different spatial scales,i.e.county,county-city,prefecture,region.By numerical calculation and analysis,the following conclusions are obtained as follows:(1)Regional disparity is sensitive to the geographical scales.and it is more pronounced at finer spatial scales.(2)The absolute economic disparities at all scales in Shandong Province had enlarged year by year,and the nested Theil decomposition showed that the within-region is the most significant component for the overall regional economic disparities.Furthermore,there is an increasing sequence according to their contribution to the overall economic disparity of Shandong Province,i.e.within-Shandong Peninsula Blue Economic Zone,between-regions,within-The economic circle of capital city group and within-Lunan Economic Belt.(4)The regional economy is in non-equilibrium and showed significant positive spatial autocorrelation at all scales,but the spatial aggregation is different from one another at different scales.Specifically,the spatial aggregation tends to weaken based on the county scale,and two distinct shapes of regional economy are quietly forming,which are"n"shape of Significant high-high aggregation area in eastern Shandong and"H"shape of Significant high-low aggregation area in central Shandong at county-city scales,while the spatial aggregation changed little for the past six years based on prefecture scale.更多还原