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

机译:基于Geoda的辽宁与俄亥俄州社会经济发展时空格局分析

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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.
机译:本文通过Geoda分析比较了辽宁和俄亥俄州在县级的经济和社会发展。即,在连续的空间和较大的时间尺度上,对产业集群的时空变迁,辽宁省人口与GDP的空间相关性,国家人均收入和就业人口的区域差异进行了充分的讨论。俄亥俄州最后,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的经济发展时空格局进行了比较。结论是,俄亥俄州的人均收入呈现出与总人口和就业人口相对应的增长趋势,而在辽宁省,GDP的两极分化非常明显。即使对沉阳和大连这两个中心城市以外的县来说,其GDP和就业率也不算高。这种现象表明,与辽宁省的俄亥俄州相比,空间相关性不是很明显,聚集性不是很强,总体经济状况也有很大的差距。这些模式提醒我们,将来我们应该对空间分布及其对经济的促进作用给予足够的重视。

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