| 郭成,储金龙,李咏.公共产品视角下安徽省县域城镇化水平时空差异分析[J].安徽建筑大学学报,2015,23(6):87-94 |
| 公共产品视角下安徽省县域城镇化水平时空差异分析 |
| The Analysis on the spatial and temporal variations of county urbanization in Anhui Province from the perspective of public goods |
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| DOI：10.11921/j.issn.2095-8382.20150618 |
| 中文关键词: 城市本质 安徽县域城镇化 公共产品 时空差异 |
| 英文关键词: urban essence county urbanization in Anhui public products spatial and temporal variations |
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| 中文摘要: |
| 从城市本质的角度出发，城镇化是空间由谱系低端向高端演进，空间内的公共产品服务水平（交易量）不断提升的过程。基于公共产品服务构建复合指标体系，对2000-2012年安徽县域城镇化发展水平进行测算，运用变异系数法、自然断裂点法、空间自相关等方法对其城镇化水平的时空差异进行了分析。研究发现：1安徽县域城镇化发展差异明显，虽整体差距在缩小，但同样存在一定的极化发展趋势；2县域城镇化水平空间格局较为稳定，整体上呈现东高西低、南强北弱的空间差异，且存在较强的空间自相关性；3县域城镇化水平空间格局与传统县域人口城镇化率空间格局的匹配关系不强；42000-2012年间，不同县域城镇化发展的差异明显，旅游型和工业型强县城镇化发展较快，而皖西北和皖东北农业大县、皖西南的山区县域受到传统发展惯性、产业结构、地理区位等影响，城镇化提升速度较慢。 |
| 英文摘要: |
| Following the discussion about urban essence, the connotation of urbanization is defined by the spatial evolution from low-end pedigree to high-end pedigree, more precisely, the upgrading process of public products and service (transaction) within the space. Subsequently, from 2000 to 2012, the urbanization development of county territories in Anhui is estimated by establishing multi-index system. Finally, the spatial and temporal variations of its urbanization are analyzed by variation coefficient method, natural fracture point method, spatial autocorrelation, etc.. The results show as follows, 1) there are significant differences of urbanization development of county territories in Anhui. Although the overall gap is narrowing, trends of polarization development are observed; 2) the spatial framework of county urbanization is relatively stable, showing spatial variation from urbanized eastern and southern regions to less-urbanized western and northern region with a strong spatial autocorrelation; 3) no significant correlation is found between the spatial framework of county urbanization and the population urbanization rate of the traditional counties; 4) from 2000 to 2012, the urbanization developments of different counties are highly variable with rapid progress in tourism and industry-type counties and slow progress in northwestern and northeastern traditional agricultural counties and southwestern mountainous counties due to traditional development inertia, industry structure and geographical location. |
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