黑龙江省国有林区经济差异的空间统计分析

Exploratory Spatial Data Analysis of the Forestry Regional Economic Disparities in the Reemployment of Heilongjiang Province

通过将区域经济研究理论与空间统计相结合的研究方式,找到适合黑龙江省国有林区经济发展的新出路。运用Arc GIS及空间计量经济学软件Geo Da提供的空间分析功能对1998年至2014年黑龙江省国有林区经济的动态演变过程进行空间统计分析研究。利用已经完善的ESDA分析方法即Moran I指数、Moran散点以及LISA显著性水平图,来揭示黑龙江省国有林区经济差异的空间自相关和空间集聚特征。研究表明:黑龙江省国有林区各林业局的经济呈现了正自相关的发展态势,低低类型的经济发展地区分布不集中,数量不多,但是高高类型的经济地区较为稳定并且开始逐步形成了高经济产业集聚区,而且经济带动作用有所显现。基于研究,提出加强重点扶持力度,带动林区整体经济发展;加强重点扶持力度,带动林区整体经济发展;加强重点扶持力度,带动林区整体经济发展等建议。

By combining the regional economic research theory and spatial statistical way of research,find new way of state-owned forest area in Heilongjiang province economic development. Using Arc GIS and spatial econometric software Geo Da provided by the spatial analysis function of the state-owned forest area in Heilongjiang province from 1998 to 2014 of economic spatial statistical analysis and study of dynamic evolution process. Use has perfect ESDA method namely,Moran I index,Moran scatter and LISA significance level figure,to reveal the state-owned forest area in Heilongjiang province economic differences of spatial autocorrelation and spatial agglomeration features. Research shows that： the state-owned forest area in Heilongjiang province each forestry economic is the autocorrelation development momentum,low concentration distribution types of economic development region,the number is not much,but the types of economic region is relatively high stability and began to gradually form the high economic industrial concentration area,and has important role in the economy. Based on the research,puts forward the key support,driving the development of forest region economy as a whole.To strengthen the key support, driving the development of forest region economy as a whole. To strengthen the key support,driving the development of forest region economy as a whole.