Spatial and Temporal Patterns Analysis of Social-Economic Development between Liaoning and Ohio Based on Geoda

Ruren Li, Yuqiang Sun, Xiaohui Liu
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Abstract

This paper analyzed and compared the economic and social development of Liaoning and Ohio on county-level by Geoda. Namely, in continual space and a large time scale, an adequate discussion was made for the temporal and spatial vicissitudes of industrial cluster and the spatial correlation of population and GDP of Liaoning Province, and regional differences of per capita income and employment population of the State of Ohio. And at last, with whole population, employment rate, per capita income and per capita GDP as indexes, this paper made a comparison between the Spatial and Temporal Patterns of Economic Development of Liaoning Province and the State of Ohio. The conclusion are that per capita income in the State of Ohio shows a corresponding increase trend with the total population and employment population, while in Liaoning Province, the polarization of GDP is very distinct. Even for counties beside Shenyang and Dalian, the two central cities which hold a safe lead, the GDP and employment rate are not high. This phenomenon shows that comparing with the State of Ohio, in Liaoning Province, the spatial correlation is not so distinct, the aggregation is not so strong, and there is a big gap in the overall economic conditions. These patterns remind us that in the future we should pay enough attention to spatial distribution and its promoting effect on the economy.
基于Geoda的辽宁与俄亥俄州社会经济发展时空格局分析
本文利用Geoda对辽宁省和俄亥俄州县域经济社会发展状况进行了分析比较。即在连续空间和大时间尺度上,对辽宁省产业集群的时空变迁和人口与GDP的空间相关性,以及俄亥俄州人均收入和就业人口的区域差异进行了充分的探讨。最后,以总人口、就业率、人均收入和人均GDP为指标,对辽宁省和俄亥俄州经济发展的时空格局进行了比较。得出结论:俄亥俄州的人均收入随着总人口和就业人口的增长呈现出相应的增长趋势,而辽宁省的GDP两极分化非常明显。即使是在沈阳和大连这两个稳居领先地位的中心城市之外的县,GDP和就业率也不高。这一现象说明,辽宁省与俄亥俄州相比,空间相关性不那么明显,聚集性不那么强,整体经济状况存在较大差距。这些模式提醒我们,在未来的发展中,我们应该足够重视空间分布及其对经济的促进作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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