武汉市土地利用结构与能源消费碳排放的关联测度分析  

Correlation Degree Analysis between Land Use Structure and Carbon Emission of Energy Consumption in Wuhan City

作　　者：曾好[1] 董利民[1,2] 

机构地区：[1]华中师范大学经济与工商管理学院,湖北武汉430079 [2]湖北经济与社会发展研究院,湖北武汉430079

出　　处：《山东农业科学》2014年第7期97-101,106,共6页Shandong Agricultural Sciences

基　　金：国家社会科学基金重点项目"现阶段我国城市土地整理风险防范与治理对策研究"(12AGL006);武汉市软科学研究计划"武汉市发展低碳经济的路径选择与政策设计"(2014040606010293)

摘　　要：本文基于武汉市1998~2011年的土地变更数据及能源消耗数据,运用灰色关联度模型及Pearson相关分析法分别测度土地结构与能源消费碳排放总量、能源消费碳排放强度、人均能源消费碳排放量的关联度及相关系数。结果表明,土地利用结构与能源消费碳排放总量、能源消费碳排放强度和人均能源碳排放量三者关联度最高的分别是交通用地（0.884）、耕地（0.735）和园地（0.894）,对应的Pearson相关系数分别为0.923、0.777和0.915。关联度及相关系数都处于很高的水平,因此,合理组织土地利用对武汉市实现节能减排具有重要意义。Based on the data of land change and energy consumption in Wuhan City during 1998 ~ 2011,the correlation degree and coefficients of land use structure with total carbon emission quantity,carbon emission intensity and per capita carbon emission of energy consumption were analyzed respectively with grey relational degree model and Pearson correlation analysis.The results showed that traffic land（0.884）,farmland（0.735） and garden plot（0.894） had the highest correlation degree with carbon emission quantity,carbon emission intensity and per capita carbon emission of energy consumption respectively with the Pearson correlation coefficients as 0.923,0.777 and 0.915 respectively.In conclusion,relational utilization of land had important significance to realizing energy conservation and emission reduction in Wuhan City.

关 键 词：碳排放 土地利用结构 关联度 Pearson相关分析 

分 类 号：F301.2[经济管理—产业经济]