CAJ | 학술논문

应用空间统计学方法,通过Moran’s I和G统计量的测度,揭示全局视角下,上海整体经济发展区间关联性强,各区县间的经济发展呈现出明显的正相关性。但是局部分析结果显示：宝山、普陀两大工业区一定程度上牺牲了周边区域的资源;杨浦区与周边区域之间的经济关联性不明显。通过提出耦合集聚、核心-边缘、拮抗集聚和不相关四种经济空间影响模式,揭示上海核心区与边缘区的空间模式差异明显,二元结构依然存在。有针对性地提出四种模式下政府应该扮演的服务者、引导者、驱动者和干预者的角色与建议,以对当前的上海并区决策提供支持。
응용공간통계학방법,통과Moran’s I화G통계량적측도,게시전국시각하,상해정체경제발전구간관련성강,각구현간적경제발전정현출명현적정상관성。단시국부분석결과현시：보산、보타량대공업구일정정도상희생료주변구역적자원;양포구여주변구역지간적경제관련성불명현。통과제출우합집취、핵심-변연、길항집취화불상관사충경제공간영향모식,게시상해핵심구여변연구적공간모식차이명현,이원결구의연존재。유침대성지제출사충모식하정부응해분연적복무자、인도자、구동자화간예자적각색여건의,이대당전적상해병구결책제공지지。
The spatial relationship among different districts of Shanghai is study in this paper. Based on spatial statistics, this paper calculated Moran＇s I and Getis＇s G of the compounded Gross Domestic Product increasing rate during the eleventh fifth year plan （2006 to 2010）. From the global angle, it is proved that Shanghai＇s economic development is positive related spatially. Meanwhile, the local statistics revealed that Baoshan and Putuo have negative spatial relationship with the neighborhood, Yangpu District is unrelated spatially. The four mode： coupling-agglomeration, core- periphery, anti-agglomeration and non-spatial relationship are put forward. Finally, it explored that modes between the inner city and the suburban are different obviously, the rural-urban dual structure still exits; the suggestions for government playing different roles for different district＇s mode are given.