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Study on space-time evolution driving factors of industrial structure of Shandong peninsula urban agglomeration based on GIS

机译:基于GIS的山东半岛城市群产业结构时空演变及其驱动力研究。

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By using the data of industrial structure and economic and social environment of 8 cities of Shandong peninsula urban agglomeration (SDPUA) from 2001 to 2012, ARCGIS spatial analyst extensions and matlab7.0 stepwise regression were applied to analyze the space-time evolution & driving factors of industrial structure of Shandong peninsula urban agglomeration. The results show that the primary industry growth rate and its proportion of SDPUA increases gradually and then decreases from east to west, and firstly decreases gradually and then increase from south to north. The secondary industry growth rate and its proportion increases gradually and then decreases from east to west, and decrease gradually from south to north. The tertiary industry growth rate of SDPUA increases gradually and then decreases from east to west and firstly decrease gradually and then increase from south to north. The driving factors of secondary industry are Per capita gross domestic product, population, the residents' consumption level, the financial institutions loan balance and the road network density. The driving factor of tertiary industry is the financial institutions loan balance. Both the secondary industry and tertiary industry have no correlation with the distance from the primate city and the economic center of the region.
机译:利用山东半岛城市群(SDPUA)2001年至2012年的产业结构和经济社会环境数据,运用ARCGIS空间分析扩展和matlab7.0逐步回归分析时空演化及驱动因素。半岛城市群的产业结构分析结果表明,第一产业增长速度及其在SDPUA中的比重由东向西递减,然后由南向北递减。第二产业增长率及其比重从东到西依次递增,然后从南向北递减。 SDPUA第三产业增长率由东向西递减,然后由南向北递减。第二产业的驱动因素是人均国内生产总值,人口,居民的消费水平,金融机构的贷款余额和道路网络密度。第三产业的驱动因素是金融机构的贷款余额。第二产业和第三产业与灵长类城市和该地区经济中心的距离均不相关。

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