基于GIS的山东半岛城市群产业结构时空演化及驱动因素研究

B. Shan, Li’e Wang
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引用次数: 5

摘要

利用2001 - 2012年山东半岛城市群8个城市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逐步回归分析了山东半岛城市群产业结构的时空演化及其驱动因素。结果表明:第一产业增长率及其在SDPUA中所占比重由东向西先增大后减小,由南向北先减小后增大;第二产业增长率和占比由东向西先上升后下降,由南向北逐渐下降。第三产业增长率由东向西先增大后减小,由南向北先减小后增大。第二产业的驱动因素是人均国内生产总值、人口、居民消费水平、金融机构贷款余额和路网密度。第三产业的驱动因素是金融机构贷款余额。第二产业和第三产业的发展与距离主城区和区域经济中心的距离无关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Study on space-time evolution & driving factors of industrial structure of Shandong peninsula urban agglomeration based on GIS
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.
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