我国绿色发展指数的空间分布及地区差异探析——基于探索性空间数据分析法  

An Analysis of the Spatial Distribution of China’s Green Development Indexes and the Regional Differences:Based on Exploratory Spatial Data Analysis Method

作　　者：魏和清[1] 李颖[1] WEI He-qing;LI Ying(Jiangxi University of Finance and Economics,Nanchang 330013,China)

机构地区：[1]江西财经大学统计学院

出　　处：《当代财经》2018年第10期3-13,共11页Contemporary Finance and Economics

基　　金：江西省2018年度科技计划项目“中国生态环境质量和资源利用效率的综合测度与自然资源资产负债表编制”(20181BAA208014);江西省社会科学规划青年博士基金项目“中国生态环境与资源利用效率的定量测度与评价”(16BJ33)

摘　　要：基于国家统计局等部委联合发布的娌016年生态文明建设年度评价结果公报》中的绿色发展指数，在剖析其内涵的基础上，运用探索性空间数据分析法，对我国绿色发展指数及其二级指数的空间分布规律、关联模式及地区发展差异成因进行了探索性分析。研究结果表明：我国绿色发展指数及其二级指数中的资源利用指数在空间上基本呈现随机分布，东强西弱的区域发展特征并不明显；其余五个二级指数具有显著的空间正自相关性，集聚倾向明显，向“高-高”“低-低”二元空间分布态势演进；各地区绿色发展差异成因不尽相同。这表明，地区发展理念必须由单一的经济发展观向资源环境与经济的协调发展观转变。Based on the analysis of the connotation of the green development index in the ＂2016 Annual Review of the Evaluation Result of the Ecological Civilization Construction＂ issued by the National Bureau of Statistics and other ministries, this paper applies the exploratory spatial data analysis method to conduct an exploratory analysis of the spatial distribution law, correlation model and regional development differences of China＇s green development index and its secondary index. The findings indicate that China＇s green development index and the resource utilization index in its secondary index are basically presenting a random distribution in space, and the regional development characteristics of strong east and weak west are not significant. Other remaining five secondary index- es have significant spatial positive auto-correlation, the agglomeration tendency of them is obvious, which evolves toward the ＂high-high＂ and ＂low-low＂ binary spatial distribution. The causes of the differences in the green development in each region are different. This proves that the concept of regional development must shift from a single economic development concept to a coordinated development concept between resources, environment and economy.

关 键 词：绿色发展指数 探索性空间数据分析法 空间相关性 地区差异 

分 类 号：F222.31[经济管理—国民经济]