1982-2010年中国县域经济发展时空格局演变
Evolution of spatial-temporal pattern of county economic development in China during 1982-2010
查看参考文献32篇
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文摘
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研究县域经济发展格局对揭示区域经济发展空间演化机制和实现县域经济的可持续发展具有重要的理论意义。基于中国2352个县域单元1982、1990、2000和2010年的人均GDP数据,采用空间关联技术和变差函数分析了近30年来中国县域经济发展格局的演化特点并探讨了其演化机制。结果表明:中国县域经济发展和增长存在正的空间自相关性;1982年以来,经济发展的空间集聚程度逐渐增加,空间依赖程度增强;东部和华北北部地区是县域经济发展的热点区;县域经济发展存在空间呈异质性,经济发展的空间分异格局中的随机成分随时间推移不断降低;中国东南—西北向经济发展的均质性相对较好,空间差异较小;历史基础、经济区位、资源禀赋和区域发展政策等是中国县域经济发展格局演化的主要驱动因素。 |
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其他语种文摘
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Studying the spatio-temporal pattern of county economic development is extremely important for revealing the evolutionary mechanism of regional economy and achieves the sustainable development of China's county economy. Although considerable research attention has examined the regional economic pattern of China at the provincial and national levels in a certain time, we currently know the least about the profiles of county economic development across different periods. There is general agreement in the regional geography community that understanding the dynamic pattern of county economic development can provide a scientific base for the policy making and the implementation of regional development planning. Thus, the spatio-temporal pattern of county economic development in China merit further investigation. Based on the 2352 counties' per capita GDP in 1982, 1990, 2000 and 2010, the spatial autocorrelation analysis and variogram were used to investigate the evolutionary characteristics of spatiotemporal patterns of county economic development and to explore the possible mechanism behind the changes in the spatial pattern. Results showed that the county economic development and growth exhibit a positive spatial autocorrelation, which indicates that some counties with similar economic development levels clustered. But the spatial autocorrelation of the economic growth over the past three decades was not obvious. Since 1982, the spatial concentration of the county economy increased gradually and the spatial dependence enhanced over time. The difference of county economic development in eastern area of China is greater than that in the middle and western regions. In all four studied years, there are nine county units with a "high-high" pattern of economic development, i.e., Wujin, Kunshan, Dantu, Taicang, Changshu and Wuxi. Meanwhile, there are about forty-three county units maintaining their locations of "low-low" pattern of economic development for all studied years. Furthermore investigations revealed that the proportion of the county unites with homogeneity economic level increased from 19.56% in 1982 to 27.26% in 2010, whereas unites with heterogeneity level decreased from 3.06% in 1982 to 2.55% in 2010. This result demonstrated that there was an obvious heterogeneity for China's county economic development and the polarization effect in county economic development was enhancing over time. Overall, the hotspot areas of China's economic development mainly clustered in the eastern and northern regions of China, while the hotspot ones were concentrated in its central, southern and southwestern areas. Furthermore, the continuity and self-organization of Chinese county patterns was enhancing, whereas the random components of spatial disparity patterns was decreasing over time, which means that the structural differentiation caused by spatial autocorrelation was becoming more apparent. There was a relatively good homogeneousness in the economic development in the direction of northeast-northwest. The possible drivers behind the county economic development patterns could be partly attributed to its economic location, regional development policy, special resources and background of historical development. Among these possible causes, the regional development strategies may be the external contributors to the evolution in regional economic patterns. These findings have important theoretical and practical significance on narrowing the gap between urban and rural development. |
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来源
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地理科学进展
,2014,33(1):102-113 【核心库】
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关键词
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县域经济发展
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时空格局
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空间自相关
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变差函数
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中国
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地址
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北京师范大学, 地表过程与资源生态国家重点实验室, 北京, 100875
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北京师范大学, 地表过程与资源生态国家重点实验室;;环境演变与自然灾害教育部重点实验室, 北京, 100875
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中国科学院地理科学与资源研究所, 北京, 100101
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语种
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中文 |
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文献类型
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研究性论文 |
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ISSN
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1007-6301 |
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学科
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自然地理学 |
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基金
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国家科技部国际合作项目
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国家自然科学基金项目
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国家973计划
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文献收藏号
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CSCD:5044419
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